Explore how AI video generation is transforming ecommerce and content creation in 2025. Use cases, tools, benefits, and expert insights.

Top AI Video Editing Tools & Use Cases in 2025

AI Video Generation in 2025: Tools, Use Cases & Benefits

Explore how AI video generation is transforming ecommerce and content creation in 2025. Use cases, tools, benefits, and expert insights.


AI Video Generation: How Smart Videos Are Created in 2025

Explore the best AI video editing tools of 2025. Discover how they streamline workflows, create branded content, and transform digital storytelling. 

video  editing 

 Explore the best AI video editing tools of 2025. Discover how they streamline workflows, create branded content, and transform digital storytelling. 


AI Video Editing Tools: Smarter Content Creation in 2025

Wondering how to dress for your body type? This guide blends expert styling tips with AI tech to help you build a confident, flattering wardrobe.

How to Dress for Your Body Type: Full AI Styling Guide

dress your body type 

Wondering how to dress for your body type? This guide blends expert styling tips with AI tech to help you build a confident, flattering wardrobe.


How to Dress for Your Body Type Using Smart AI help in 2025

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Discover the ultimate 2025 guide to outfit ideas for women—from everyday looks to AI-powered styling, ethnic wear, workwear, and sustainable fashion tips.


Outfit Ideas for Women: Everyday to Occasion Complete Guide

Discover how AI copywriting is transforming content creation in 2025. Learn top tools, best practices, and how to use AI for scale and performance.

How AI Copywriting Is Transforming Content Creation in 2025

ai copywriting 

 AI Copywriting in 2025: Tools, Tips, and Use Cases

Discover how AI copywriting is transforming content creation in 2025. Learn top tools, best practices, and how to use AI for scale and performance.


Explore all about aesthetic outfits to look right. From defining styles  to shopping smartly, accessorizing right, and creating your signature look using AI.

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Ultimate Guide to Aesthetic Outfits for Your Look 2025

Explore all about aesthetic outfits to look right. From defining styles  to shopping smartly, accessorizing right, and creating your signature look using AI.



The Ultimate Guide	 to Aesthetic Outfits to Build Your Dream Look

AI Script Writing in 2025: Use Cases, Benefits & Limitations

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Explore how AI script writing tools are transforming content creation in 2025. Learn use cases, benefits, risks, and how Glance powers smart fashion content.


AI Script Writing: Tools, Trends & Creative Power in 2025

 Explore the best AI story writers of 2025. Compare tools, discover use cases, and learn how to craft compelling stories with AI support.

generative ai 

 Top AI Story Writers in 2025: Tools, Tips & Use Cases

Explore the best AI story writers of 2025. Compare tools, discover use cases, and learn how to craft compelling stories with AI support.


AI Story Writer: Top Tools & How They Work in 2025

AI Article Writer Tools in 2025: Benefits, Uses & Best Picks

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Discover how AI article writers are transforming content creation in 2025. Learn use cases, tools, SEO tips, and more, so you leverage it efficiently. 


AI Article Writer: The Smart Way to Scale Content Creation in 2025

Men’s Outfit Ideas 2025: The Definitive Guide to Style 

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Explore smart, stylish, and effortless men’s outfit ideas from casual and professional to streetwear and travel-ready looks.Now style with confidence. 



Men’s Outfit Ideas: Master Your Style in 2025  

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Discover the best online clothes shopping platforms in India for 2025. Explore top apps offering variety, fast delivery, AI tools, and sustainable fashion.


Best Online Clothes Shopping Platforms in India 

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colour throry fashion guide 

Color theory transforms your fashion sense. Learn how to mix, match, and style outfits using colour psychology, contrast, trends, and tone for timeless looks.



Colour Theory in Fashion: The Science Behind Great Style

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Explore how generative AI in marketing creates hyper-personalized campaigns, automate creativity, improve targeting, and drive better ROI

“The future of sales is to serve, not sell. Generative AI gives us guidance that’s so personal and precise, we’re always presenting the most relevant solutions — no pushing required.”— Marcus Chan, President and Founder, Venli Consulting Group (<a href="https://www.salesforce.com/in/artificial-intelligence/ai-quotes/" target="_blank" rel="noopener noreferrer">Source</a>)&nbsp;There was a time when personalization in marketing meant just adding your name to an email. But today, audiences expect more—they want experiences tailored to their needs, moods, and behaviors, in real-time, across every touchpoint.And that’s where&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/what-is-generative-ai-your-easy-to-understand-guide">Generative AI</a> is quietly changing the game.Instead of pushing generic campaigns, marketers can now&nbsp;create conversations that feel one-to-one, even when speaking to millions. How? Let’s walk through it.<h2 style="text-align:justify;">Why does Personalization Marketing Matter?</h2>In today’s hyper-connected world, consumers&nbsp;expect brands to know them—their preferences, behaviors, needs, and even moods. A generic email blast or static website banner no longer cuts it. That’s where Generative AI comes in.It helps marketers do what was once impossible:&nbsp;craft personalized campaigns at scale, without blowing the budget or burning out creative teams.&nbsp;<h2 style="text-align:justify;">How Generative AI Shapes Every Stage of a Marketing Campaign</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/4693_1_ebe752ff41.jpg"></figure><h3 style="text-align:justify;">1. Understanding Your Audience—Not Just Knowing Them</h3>Before any campaign begins, you need to know who you're speaking to. Generative AI doesn’t just&nbsp;segment customers by age or geography; it analyzes behavioral data, past purchases, browsing patterns, and even sentiment across channels to identify micro-segments that matter.This means your campaign doesn’t just target “25–35-year-old urban professionals” — it speaks directly to “first-time homebuyers browsing eco-friendly furniture” or “repeat customers likely to purchase within the next 7 days.”<h3 style="text-align:justify;">2. Crafting Hyper-Personalized Content That Feels Human</h3>Once you know your audience, the next challenge is content.&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/best-ai-tools-2025">Generative AI tools</a> like GPT and DALL·E can create:<ul><li>Emails with customized offers</li><li>Product descriptions adapted to user preferences</li><li>Ad creatives that reflect the audience’s aesthetic</li></ul>What used to take weeks of copywriting and designing can now be&nbsp;generated in hours, with multiple variants for A/B testing or hyper-personalized outreach.Did you know?&nbsp;<a href="https://kadence.com/en-us/generative-ai-for-marketing-and-creative-campaigns/" target="_blank" rel="noopener noreferrer">Mint Mobile used ChatGPT to script ad copy</a> that resonated with its younger, tech-savvy audience—saving time while boosting engagement.<h3 style="text-align:justify;">3. Real-Time Adaptation Across Channels</h3>Generative AI doesn’t stop at creation. It helps&nbsp;deliver content at the right moment, tailored to live customer behavior. Think:<ul><li>Website banners that change depending on the visitor’s purchase intent</li><li>Emails sent based on time-of-day activity</li><li>Chatbots that offer assistance based on navigation paths</li></ul>It’s personalization&nbsp;not just at the user level—but at the moment level.&nbsp;<a href="https://www.datafeedwatch.com/blog/best-ai-advertising-examples" target="_blank" rel="noopener noreferrer">Starbucks’ Deep Brew AI analyzes customer data</a> in real time to offer personalized drink suggestions, both in-app and in-store.<h3 style="text-align:justify;">4. AI-Driven Optimization</h3>Generative AI doesn’t just deliver content—it learns from how users respond to it and optimise accordingly.&nbsp;<ul><li>If a campaign isn’t converting, AI can automatically tweak images, offers, or even color schemes.</li><li>It can run multiple versions in parallel, learning which drives the highest ROI.</li><li>It feeds insights into the next round of messaging, creating a&nbsp;feedback loop of continuous improvement.</li></ul>This removes guesswork and replaces it with&nbsp;data-backed confidence.<h2 style="text-align:justify;">And It’s Not Just Digital: AI Enhances In-Store and Human Interactions Too</h2>Modern customers move fluidly across digital and physical platforms. One moment they’re browsing your Instagram reel, the next they’re in-store or chatting with a support bot.Generative AI helps ensure that&nbsp;the narrative, offers, and experience remain seamless, whether online or offline.<a href="https://hotelemarketer.com/2023/09/10/5-brands-using-generative-ai-to-disrupt-advertising/" target="_blank" rel="noopener noreferrer">Cadbury’s SRK campaign used DALL·E 2 to help thousands of small retailers</a> create personalized ads featuring Shah Rukh Khan, proving how AI can humanize brand messaging at scale.Generative AI helps brands translate digital insights into&nbsp;on-ground strategies:<ul><li>Store layouts adjusted based on customer preferences</li><li>Staff alerted to VIP customers walking in</li><li>Personalized product placements and discounts based on local trends</li></ul>Even customer support benefits.&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/level-up-your-customer-service-with-ai-chatbots-for-e-commerce">AI-powered chatbots</a> can offer&nbsp;tailored solutions, routing complex queries to the right human agents with all the context in hand.<h2 style="text-align:justify;">Predicting the Next Move (Before Your Customer Makes It)</h2>Using&nbsp;predictive personalization, AI identifies what customers might want&nbsp;before they even ask. That’s not marketing—it’s magic.&nbsp; BMW, a well-known vehicle brand,&nbsp; projected&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/text-to-image-ai-generated-art">AI-generated art</a> on its cars based on target customer profiles, creating immersive, emotionally resonant experiences that moved beyond traditional targeting.<h2 style="text-align:justify;">The ROI is Real—and Scalable</h2><ul><li>Reduced creative costs: A single campaign can scale into 100s of personalized versions.</li><li>Shorter sales cycles: Targeted, timely content nudges customers faster through the funnel.</li><li>Increased loyalty: When customers feel known and understood, they come back.</li></ul>And let’s not forget: AI makes&nbsp;enterprise-level marketing accessible to small businesses, giving them the tools to compete with industry giants.<h2 style="text-align:justify;">Wrap Up</h2>AI is playing a huge role in marketing. It amplifies our creativity, speed, and precision.It helps us:<ul><li>Understand people better</li><li>Reach them at the right time</li><li>Speak in ways that resonate</li><li>And build lasting, profitable relationships</li></ul>One of the most exciting shifts we’re seeing is how businesses are&nbsp;actively integrating Generative AI into their core marketing strategies. Platforms like&nbsp;Glance, are leveraging Gen AI to transform how users experience content on their device.&nbsp;Instead of showing generic insights or news,&nbsp;Glance uses Gen AI to offer hyper-personalized updates, entertainment, and even&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-shopping-product-recommendations">shopping recommendations</a> tailored to your preferences.&nbsp;Glance’s Gen AI-powered fashion, lets you visualize how different outfits might look on you — helping you shop with greater clarity and confidence.&nbsp;<h2 style="text-align:justify;">FAQs&nbsp;</h2>1. What is generative AI in marketing? Generative AI in marketing refers to AI systems that create original content—like text, images, and videos—to personalize campaigns and improve engagement.2. How does generative AI improve marketing strategies? It personalizes messaging, automates content creation, predicts customer behavior, and optimizes campaigns in real time, leading to higher ROI.3. Can generative AI create social media content? Yes, it can generate tailored captions, images, hashtags, and even entire posts based on audience insights and brand voice.4. What role does AI play in customer segmentation? AI identifies micro-segments by analyzing behavioral data, allowing marketers to craft ultra-targeted messages for niche customer groups.5. How does AI enhance customer personalization? By analyzing user data and preferences, AI delivers content, product suggestions, and offers aligned with individual behavior. &nbsp;

Generative AI in Marketing: Powering Personalized Campaigns

AI Shopping Trends 2025: All You Should Know 

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AI shopping trends transform online & offline shopping in 2025 with AI Twins, voice commerce, sustainability, and agentic checkout. Explore now. 


The global retail industry is undergoing a profound transformation. Artificial Intelligence, which once played a supporting role in product recommendations and customer support, is now poised to become the central engine of the entire shopping experience. As we look ahead to 2025, AI is expected to do far more than just personalize your shopping feed—it will become your virtual shopper, stylist, and sustainability guide.Let’s break down the most impactful AI shopping trends set to shape the retail landscape in 2025, and explore whether they’re game-changers or just the next shiny tech.<h2 style="text-align:justify;">Top AI Shopping Trends 2025&nbsp;</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/2151896815_1_82a66d5ace.jpg" alt="ai shopping trends "></figure><h3 style="text-align:justify;">1. AI Twins: The Future of Personalized Shopping</h3>In 2025, your shopping journey may start not with a cart, but with a virtual version of you—an&nbsp;AI Twin. Think of it as your smart digital replica that knows your body shape, size, color preferences, and even past purchase behavior. Platforms like Glance are already available with this concept through the <a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI app,</a> allowing you to “try” clothes on your AI twin before making a purchase.This evolution goes beyond simple virtual try-ons. Your AI Twin will evolve with you, learn from your feedback, and get smarter at suggesting combinations you’d actually wear. It adds a layer of emotional intelligence to e-commerce—far more than filtering by size or style.&nbsp;<div class="raw-html-embed"><div class="download-cta-container"> 

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</style> </div><h2 style="text-align:justify;">2. Agentic Checkout: AI as Your Shopping Assistant</h2>Imagine this: You need a pair of headphones under ₹5,000. You tell your AI agent, and it does the rest—tracking prices, comparing models, and completing the purchase when the best deal appears. No more monitoring multiple tabs or waiting for a sale.This “agentic checkout” model, first hinted at by Google and Amazon, is expected to take off in 2025. It's a shift from reactive to proactive commerce. AI agents will manage shopping tasks end-to-end, working within your budget, preferences, and timelines.<h2 style="text-align:justify;">3. AI-Enhanced Voice Commerce: From Novelty to Norm</h2>We’ve all flirted with “Hey Siri, order milk” or “Alexa, what’s the best deal on sneakers?” But in 2025, voice commerce (V-Commerce) is expected to mature. With improved contextual understanding, AI will grasp not just&nbsp;what you're asking, but&nbsp;why.Instead of keyword-driven searches, shoppers might say:“Find a gift for my dad’s birthday—something under ₹2,000, preferably eco-friendly and available this weekend.”The AI will parse context, intent, and emotion to make meaningful recommendations—then guide you through a hands-free checkout experience.<h2 style="text-align:justify;">4. AI-Powered Smart Search: Shopping Beyond Keywords</h2>Search is no longer about keywords; it's about context. In 2025, AI-powered smart search will allow users to express needs naturally—like “a water-resistant backpack for college students who commute in Mumbai rains.”Using behavioral data, visual preferences, and semantic understanding, AI will deliver hyper-personalized results—tailored not just to what you say, but who you are and where you are. Major e-commerce players are already refining this. By 2025, expect every major app to incorporate AI smart search in some form, especially in fashion, gadgets, and travel gear.<h2 style="text-align:justify;">5. Predictive, Proactive Customer Engagement</h2>AI won’t wait for you to shop. Instead, it will&nbsp;anticipate your needs. Based on your behavior, calendar events, or life stage, AI might suggest:“You have an interview next week. Would you like to see formal shirts on sale?”This hyper-relevant nudging will feel less like marketing and more like concierge service. Backed by real-time data and behavioral modeling, it will increase conversion rates while reducing decision fatigue.<h2 style="text-align:justify;">6. Sustainable AI Shopping: The Rise of Circular Commerce</h2>Sustainability isn’t a buzzword anymore—it’s a purchase driver. In 2025, AI will power circular shopping models: rentals, resale, repairs, and trade-ins. Platforms will use AI to match buyers with pre-owned items, estimate resale values, and even guide repair options.Shoppers will be nudged toward lower-carbon-footprint choices, backed by data like lifecycle impact, sourcing transparency, and recyclability.<h2 style="text-align:justify;">7. AI-Augmented Store Staff: Merging Physical and Digital</h2>Physical retail won’t die—it will evolve. In 2025, store employees will use AI-powered tools (on tablets or AR glasses) to offer deeper customer support. From personalized recommendations to real-time inventory checks, staff will act as hybrid advisors.Imagine walking into a store and the staff already knows your size, past purchases, and preferences—offering tailor-made suggestions instantly.<h2 style="text-align:justify;">8. Automated Real-Time Inventory and Shelf Management</h2>Behind the scenes, AI will quietly revolutionize how stores manage stock. Sensors, cameras, and machine learning will track shelf space, product demand, and out-of-stock risks—triggering automatic restocks or shifting placement to drive sales.For online retail, AI will streamline fulfillment by predicting demand spikes and rerouting inventory in real-time.In fact,&nbsp; this is already happening at scale with Amazon and Walmart. In 2025, expect D2C brands to adopt plug-and-play AI solutions to compete.<h2 style="text-align:justify;">9. Omnichannel AI: Seamless Shopping Across Touchpoints</h2>The average shopper interacts with 6–8 touchpoints before making a purchase. In 2025, AI will stitch these into a seamless journey—whether you're browsing on mobile, talking to a chatbot, visiting a store, or getting a push notification.The AI will know where you left off, what you ignored, and what you’re likely to act on next—creating a frictionless, contextual shopping experience.<h2 style="text-align:justify;">Wrap Up</h2>The year 2025 will not be about AI replacing shopping, but enhancing it. Trends like AI Twins, agentic checkout, and sustainability-focused AI aren’t just gimmicks—they’re the response to real consumer pain points: uncertainty, overchoice, environmental guilt, and convenience.<h2 style="text-align:justify;">FAQs&nbsp;</h2>1. How is AI transforming the future of online shopping?&nbsp;AI is revolutionizing online shopping by offering smarter recommendations, faster checkouts, and hyper-personalized experiences tailored to user behavior, preferences, and local market dynamics.2. How will AI improve shopping personalization in 2025?AI will deliver hyper-personalized shopping experiences by analyzing real-time behavior, preferences, and context—offering tailored product suggestions, prices, and promotions instantly.3. Is AI shopping safe for consumers in India?Yes, AI-driven shopping platforms use secure payment gateways and privacy controls, but consumers should still review permissions and data-sharing policies before using new features.4. Will AI shopping trends in 2025 impact offline retail stores?Yes. Offline stores will adopt AI for better inventory, personalized assistance, and smarter promotions—bridging digital and physical shopping into one seamless experience. &nbsp;

AI Shopping Trends: What to Expect in 2025

generative ai

Uncover the ethical challenges of generative AI—from bias to misinformation—and explore how to build responsible AI for the future of digital commerce

<h2>Introduction</h2>Generative Artificial Intelligence (AI) is rapidly transforming how we create and consume content—from personalized shopping feeds to AI-generated art and writing. In India, this revolution is accelerating, with the generative AI market projected to grow from&nbsp;<a href="https://www.imarcgroup.com/india-generative-ai-market?utm_source=chatgpt.com" target="_blank" rel="noopener noreferrer">$1.3 billion in 2024 to over&nbsp;$5.4 billion by 2033</a>. Adoption is widespread:&nbsp;<a href="https://www.businesstoday.in/technology/news/story/india-leads-asia-pacific-region-in-generative-ai-adoption-report-429976-2024-05-17?utm_source=chatgpt.com" target="_blank" rel="noopener noreferrer">93% of students and&nbsp;83% of employees</a> in India report using generative AI tools, while&nbsp;<a href="https://in.newsroom.ibm.com/2024-02-15-59-of-Indian-Enterprises-have-actively-deployed-AI%2C-highest-among-countries-surveyed-IBM-report?utm_source=chatgpt.com" target="_blank" rel="noopener noreferrer">59% of enterprises</a> have integrated AI into core operations. This momentum underscores AI’s pivotal role across media, retail, finance, and education.But with power comes responsibility. As generative AI becomes more embedded in our lives, concerns around misinformation, data privacy, bias, and accountability are gaining urgency. This is where&nbsp;Ethical Generative AI becomes essential—ensuring AI systems operate with transparency, fairness, and respect for user rights. Platforms like&nbsp;Glance AI are setting an example, emphasizing privacy-first personalization and ethical content curation in everyday user experiences.<h2>What is Ethical Generative AI?</h2>Ethical generative AI refers to AI systems designed and deployed with careful consideration of moral, legal, and social standards. Unlike purely technical AI development, ethical AI integrates principles such as fairness, transparency, accountability, privacy, and respect for human rights into the creation and use of AI-generated content.Why does this matter? Ethics in generative AI builds&nbsp;trust between technology providers and users. It ensures AI-generated outputs are&nbsp;fair (not biased or discriminatory),&nbsp;respect privacy by protecting personal data, and are&nbsp;transparent about how content is created and recommended.Without ethics, AI risks becoming a tool that manipulates users, amplifies harmful stereotypes, or violates legal norms. For India, with its diverse population and complex social fabric, embedding ethics in AI development is not optional—it’s a necessity for sustainable digital growth.<h2>Key Ethical Implications of Generative AI</h2><h3>a. Misinformation and Deepfakes</h3>Generative AI’s ability to create hyper-realistic text, audio, and video content can be weaponized to spread misinformation. Deepfakes—synthetic videos where a person’s face or voice is replaced—pose threats to politics, security, and social harmony. In India’s highly connected digital environment, false content can quickly go viral, creating confusion and distrust.The challenge is to develop AI systems that detect and flag misleading AI-generated content, while platforms must prioritize educating users about verifying information sources.<h3>b. Privacy Concerns</h3>Training generative AI models requires vast amounts of data, often containing personal or sensitive information. Improper handling of this data can lead to privacy breaches. For example, AI that generates personalized content must balance user convenience with strict controls on data collection and usage.India’s emerging data protection laws highlight the need for&nbsp;privacy-by-design AI systems that minimize data exposure and secure user consent before leveraging personal information.<h3>c. Intellectual Property and Plagiarism</h3>AI can produce content that closely resembles existing works—texts, images, music—raising complex intellectual property (IP) questions. Who owns AI-generated art? How do copyright laws apply when AI “learns” from copyrighted material? These questions challenge legal frameworks and creators’ rights.Ensuring AI respects IP involves transparency in training data sources and mechanisms to attribute or compensate original creators when appropriate.<h3>d. Bias and Fairness</h3>AI models learn from historical data that may contain societal biases—gender, caste, ethnicity, or economic disparities. Without intervention, generative AI can inadvertently reinforce these biases, producing unfair or offensive outputs.In India, where social diversity is vast, biased AI can exacerbate inequalities. Ethical AI development demands diverse training data and continuous evaluation to detect and mitigate bias.<h3>e. Accountability and Transparency</h3>Who is responsible when AI-generated content causes harm? Accountability in generative AI requires clear ownership of decisions, explainable AI algorithms, and accessible audits. Transparency helps users understand how AI works, what data it uses, and why certain content is recommended or generated.Building explainable AI systems and public trust is essential to ethical AI governance.<h2>Ethical Guidelines &amp; Frameworks in AI</h2>Globally, organizations and governments are developing frameworks to guide ethical AI use. Principles such as&nbsp;human-centeredness,&nbsp;non-maleficence,&nbsp;justice, and&nbsp;explicability are central.In India, the government’s AI strategy emphasizes&nbsp;trustworthy AI, privacy protection, and inclusive innovation. Various industry bodies are also drafting voluntary guidelines encouraging transparency, fairness, and data protection.Companies deploying generative AI increasingly adopt internal policies aligned with these frameworks to ensure compliance and social responsibility.<h2>How Glance AI Embodies Ethical AI Principles</h2>Glance AI provides a compelling case of responsible generative AI adoption tailored to India’s unique digital landscape.<ul><li>Privacy-First Personalization: Glance curates content for millions of users on lock screens and smart TVs without intrusive data collection. It uses privacy-preserving AI techniques that respect user consent and minimize personal data usage.</li><li>Real-Time AI Curation: The platform leverages AI to dynamically tailor content based on user interests and context, enhancing experience without manipulating user choices or promoting clickbait.</li><li>Transparency in Recommendations: Glance ensures users have clear insights into how content is selected and prioritized, fostering trust and user control.</li><li>Empowering Discovery: Rather than overwhelming users with choices, Glance’s AI-driven discovery surfaces relevant and meaningful content, supporting informed decisions and positive engagement.</li></ul>By focusing on ethical content personalization, Glance AI exemplifies how generative AI can enrich user experiences responsibly and sustainably.<h2>Best Practices for Implementing Ethical Generative AI</h2>To build and deploy ethical generative AI, organizations should:<ul><li>Prioritize Data Privacy and User Consent: Collect minimal data and always seek explicit user permission.</li><li>Use Diverse, Unbiased Datasets: Incorporate varied data sources to avoid perpetuating stereotypes.</li><li>Maintain Transparency: Clearly communicate when AI generates content and how recommendations are made.</li><li>Conduct Regular Audits: Monitor AI outputs continuously to detect harmful or biased results.</li><li>Foster Cross-Disciplinary Collaboration: Engage ethicists, policymakers, technologists, and community representatives in AI governance.</li><li>Invest in Explainable AI: Build models whose decisions can be interpreted and challenged when necessary.</li></ul>These practices ensure generative AI tools remain trustworthy and socially beneficial.<h2>The Road Ahead: Ethical AI in India’s Digital Growth</h2>India’s digital revolution offers immense opportunities for AI-driven innovation. However, the scale and diversity of India’s population demand rigorous ethical standards to prevent misuse.Startups and established platforms like Glance AI are spearheading responsible AI adoption by embedding ethics into their technologies. By doing so, they help build a digital ecosystem that is&nbsp;inclusive,&nbsp;transparent, and&nbsp;respectful of individual rights.For India to become a global AI leader, sustained investment in ethical AI research, clear regulations, and public awareness campaigns are essential. Stakeholders across government, industry, and civil society must collaborate to ensure generative AI serves the public good.<h2>Conclusion</h2>Ethical generative AI is more than a technical challenge—it is a societal imperative. As AI-generated content becomes ubiquitous, safeguarding trust, fairness, privacy, and accountability will determine the technology’s long-term success.India stands at a unique crossroads to lead responsible AI adoption, balancing rapid digital growth with deep cultural and social values. Platforms like Glance AI demonstrate that it is possible to create AI-powered experiences that respect user rights while delivering innovative value.As consumers, creators, and policymakers, we all have a role to play in advocating for and shaping ethical AI. Awareness and dialogue today will ensure generative AI evolves into a force for good tomorrow.<h2>FAQs</h2>Q1: What are the ethical implications of generative AI? Ethical implications include risks of misinformation, privacy breaches, bias, intellectual property concerns, and accountability challenges.Q2: Which of the following is a key consideration for implementing ethical aspects of generative AI? Transparency, fairness, user consent, privacy protection, and continuous monitoring are critical.Q3: What is one of the key ethical considerations when using generative AI in finance? Ensuring unbiased decision-making and transparency to prevent discrimination and unfair treatment. &nbsp;

Ethical Generative AI: Risks & Responsibilities

 Generative AI in Fashion: Real-World Applications

generative ai in fashion

Explore how generative AI in fashion transforming design with real brand examples, tools, and Glance’s personalized style discovery experience.


Top Real-World Use Cases of Generative AI in Fashion

Experience Life with an AI Shopping Companion in 2025

generative ai examples 

ai shopping companion

Explore real-world generative AI examples—ChatGPT, DALL·E, and more. Learn how these models work and power smarter digital experiences in 2025

Top Generative AI Examples You Should Know

virtual try ons in fashion industry

AI-powered virtual try-on is reshaping the shopping experience India—across fashion, beauty, eyewear, and more, leading confident shopping.



Virtual Try-On in India: Redefining Online Shopping with ‘Try Before You Buy’

Explore the best free & paid AI tools in 2025 for writing, design, shopping & dev. Compare use cases, pricing & top apps reshaping your workflow.

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 Best Free & Paid AI Tools in 2025 for Work, Content & More

Explore the best free & paid AI tools in 2025 for writing, design, shopping & dev. Compare use cases, pricing & top apps reshaping your workflow.


Best AI Tools in 2025: The Top Platforms Transforming Work, Content, and Commerce 

Transformation in Consumer Behavior with Glance AI is reshaping online shopping with hyper-personalized experiences, AI Twins, & real-time recommendations. 

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Consumer Behavior with Glance AI: Transforming Shopping

Online shopping isn’t just about convenience anymore. It’s about context, confidence, and connection. As digital behavior continues to evolve, consumers expect more than just product listings and discounts — We demand relevance, personalization, and intuitive experiences. This is precisely where Glance AI is making a fundamental shift in how users like you discover, engage with, and purchase products.At its core,&nbsp;Glance AI is reshaping consumer behavior by embedding intelligence into every touchpoint — from content discovery to purchase — transforming passive browsing into dynamic, context-aware decision-making.Here’s a deep dive into how&nbsp;consumer behavior with&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> is undergoing a transformative shift:<h2 style="text-align:justify;">Glance AI and Its Impact on Consumer Behavior in Online Shopping</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/254196_2_b806b4e6aa.jpg" alt="consumer behaviour - glance ai "></figure><h3 style="text-align:justify;">1. From Intent-Based to Ambient Discovery</h3>Traditional e-commerce relies on intent. You open an app, search for an item, compare prices, and checkout. Glance flips this by introducing&nbsp;ambient discovery — where&nbsp; you open the phone and Glance AI app discover products contextually while consuming engaging content, without explicitly searching.This shift creates&nbsp;low-friction, high-curiosity moments, leading to more spontaneous yet relevant purchases. Shopping becomes a passive-yet-personalized layer of content engagement — not a separate task.<h3 style="text-align:justify;">2. Increased Visual Confidence Through Realistic Styling</h3>A key challenge in online shopping has been the uncertainty of how a product will look when worn. Glance AI’s&nbsp;Generative Styling and Visual Re-Synthesis Engine addresses this by embedding the user's face, body type, and hairstyle into personalized outfit visuals.The result is a behavioral shift from guesswork to visual validation. You can now see how products would look on you — increasing purchase confidence and reducing decision fatigue.<h3 style="text-align:justify;">3. Decision-Making Powered by AI Context, Not Just Algorithms</h3>Unlike traditional recommendation engines that rely on purchase history or simple filters, Glance AI leverages contextual data — user lifestyle, skin tone, body type, and occasion — to generate&nbsp;smart styling suggestions.This transitions consumer behavior from endless comparison to&nbsp;decision support, where the AI serves as a style consultant, narrowing down choices based on holistic relevance, not just trends.<h3 style="text-align:justify;">4. The Emergence of the AI Twin: Beyond Avatars</h3>Consumers are now interacting with their&nbsp;AI Twin — a digital entity that learns, evolves, and mirrors their preferences, mood patterns, and intent. Unlike avatars used solely for&nbsp;<a href="https://glance.com/us/blogs/glanceai/ai-shopping/digital-wardrobes-and-virtual-fittings-the-future-of-online-shopping">virtual try-ons</a>, the AI Twin grows contextually with each interaction.This relationship creates a&nbsp;behavioral bond, where you&nbsp; begin to trust AI-driven recommendations as personalized extensions of their own style sensibility — reducing browsing time and increasing decision accuracy.<h3 style="text-align:justify;">5. Micro-Engagements Drive Macro Conversions</h3>Instead of long sessions on shopping apps, you engage with Glance through short, frequent interactions — personalized reels, outfit drops, influencer styles, and curated tips — all shoppable.These&nbsp;micro-engagements, embedded across screens and moments, change the pattern of consumer behavior from infrequent, goal-driven shopping to&nbsp;habitual discovery-led exploration. Over time, this drives higher conversion rates without you feeling like you are actively shopping.<h3 style="text-align:justify;">6. Content-Driven Commerce Over Catalog-Driven Selling</h3>Glance integrates commerce into entertainment by seamlessly embedding product discovery into fashion stories, trends, and seasonal collections. The line between content and commerce is no longer visible.This leads to a shift in behavior where you don’t enter to shop — you&nbsp; stay for the content and leave with a purchase. The content-first approach&nbsp;builds emotional resonance, increasing recall and affinity toward featured products and brands.<h3 style="text-align:justify;">7. Inclusivity Changes the Participation Curve</h3>Glance AI’s fashion intelligence model is trained on diverse body types, skin tones, and cultural preferences, ensuring product suggestions resonate across geographies and demographics.This inclusivity widens the net of participation. Consumers in Tier 2 and Tier 3 cities, who often felt excluded from trend-led fashion platforms, now see themselves reflected — triggering&nbsp;new engagement behaviors from previously underrepresented user segments.<h3 style="text-align:justify;">8. Real-Time Inventory Sync Enables Action-Oriented Discovery</h3>The platform connects&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-designed-clothes-ai-fashion-commerce-style">AI-generated outfits</a> directly to&nbsp;real-time product inventory through smart integrations with retail partners. This ensures every suggested look is purchasable, within budget, and available in the user's region.This reduces friction between interest and action — shifting behavior from “I like it, but where do I get it?” to&nbsp;“I love it, and it’s one tap away.”<h3 style="text-align:justify;">9. Lower Returns Through Contextual Understanding</h3>One of the biggest pain points in online shopping is product returns. Misaligned expectations due to poor visuals or inaccurate sizing drive up operational costs and reduce consumer satisfaction.By embedding context — fit, style, occasion, and complete outfit visualization — Glance AI&nbsp;preempts mismatch-driven dissatisfaction, nudging consumers toward purchases they’re more likely to retain.<h3 style="text-align:justify;">10. Personalization Feels Organic, Not Invasive</h3>Unlike some platforms that overwhelm you with aggressive retargeting, Glance AI integrates personalization through&nbsp;gentle nudges, relatable content, and visually relevant suggestions.This builds&nbsp;consumer trust, reinforcing the feeling that the platform understands rather than manipulates — critical for long-term behavioral loyalty.<div class="raw-html-embed"><div class="download-cta-container"> 

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</style> </div><h2 style="text-align:justify;">Consumer Behaviour with Glance AI Shopping the Future</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/composition_with_smartphone_used_digital_shopping_online_ordering_2_2_cda20641c9.jpg" alt="Glance ai shopping "></figure>Beyond immediate behavioral changes, Glance AI opens pathways to shape:<ul><li>Sustainable shopping patterns: How smarter discovery reduces impulse buying and increases conscious choices.</li><li>AI-driven loyalty ecosystems: Where consumers earn rewards or perks for engaging with AI-curated experiences.</li><li>Cross-category personalization: Extending AI Twins to beauty, home décor, travel styling, etc.</li><li>Retailer insights loop: Real-time behavioral analytics feeding into smarter product design and inventory planning.</li></ul><h2 style="text-align:justify;">Wrap Up</h2>The impact on consumer behaviour with Glance AI isn’t just in improved styling suggestions or better visuals. It’s in the&nbsp;behavioral reconditioning of how consumers shop — with confidence, context, and creative freedom.As the boundaries between content, AI, and commerce continue to blur, Glance is positioned not as a feature layer but as a&nbsp;behavioral operating system for modern consumers — one where relevance, personalization, and inspiration are not optional add-ons but the foundation.<h2 style="text-align:justify;">FAQs&nbsp;</h2>1. What is Glance AI consumer behaviour in online shopping? Glance AI consumer behaviour refers to how&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-driven-product-recommendations">AI-driven personalization</a> impacts user decisions, preferences, and interactions throughout the online shopping journey.2. How does Glance AI influence consumer shopping habits? It curates intelligent product suggestions based on user taste, context, and AI-generated styles, influencing quicker, more confident purchase behaviour.3. Why is Glance AI consumer behaviour important for brands? Glance AI It helps brands reach consumers with personalized offers, improving engagement, conversion rates, and customer satisfaction through AI-powered targeting.4. How does Glance AI differ from typical e-commerce algorithms?Unlike standard recommendation engines, Glance AI builds a dynamic user replica that adapts to behaviour, making experiences more intuitive and contextual. &nbsp;

Consumer Behavior with Glance AI Redefining Online Shopping Like Never Before 

From machine learning to 3D modeling, Technology behind Glance AI transforms personalization, avatar styling, and consumer behavior in fashion and e-commerce.

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Technology Behind Glance AI: Powering the Smart Shopping

From machine learning to 3D modeling, Technology behind Glance AI transforms personalization, avatar styling, and consumer behavior in fashion and e-commerce.



Let’s be honest — online shopping can often feel like a shot in the dark. You scroll endlessly, compare five similar products, add three to your cart, and still feel unsure. But what if your shopping journey didn’t start with guesswork? What if the platform knew&nbsp;you — your style, your fit, your intent — and only showed what made sense?That’s exactly what&nbsp;Glance AI is doing. And it’s not just clever filters or trendy visuals. It’s a powerful convergence of AI, machine learning, image recognition, 3D modeling, and behavioral analytics. Let’s break it down.<h2 style="text-align:justify;">What Is Glance AI?</h2>Think of Glance AI as your&nbsp;personal&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-designed-clothes-ai-fashion-commerce-style">AI fashion</a> companion, but smarter and far more intuitive.In a nutshell, Glance AI:<ul><li>Builds an&nbsp;AI Twin of you — mirroring your body type, style preferences, and personality</li><li>Curates&nbsp;contextual outfit suggestions based on real-time data and fashion intelligence</li><li>Uses&nbsp;image recognition and&nbsp;3D modeling to help you visualize exactly how you’ll look</li><li>Syncs across screens — from app to lock screen to smart TV</li><li>Bridges the gap between&nbsp;content and commerce, turning inspiration into action</li></ul><div class="raw-html-embed"><div class="download-cta-container"> 

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</style> </div><h2 style="text-align:justify;">The Core Technology That Powers Glance AI</h2>Now let’s look under the hood. These five technologies are doing the heavy lifting behind the scenes:1. Artificial Intelligence (AI): The Core BrainAt the center of Glance AI is a&nbsp;multi-layered AI engine that drives personalization and prediction.<ul><li>It learns your preferences: color palettes, fits, brands, and even fashion goals (e.g., “comfortable travel looks” or “power dressing”).</li><li>It makes intelligent decisions: not just what’s trending, but what’s&nbsp;relevant for you right now.</li><li>It automates experience design: from curating outfits to recommending products that are available and within your budget.</li></ul>It’s what makes&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> feel less like an app — and more like a personal stylist who’s been with you for years.<h3 style="text-align:justify;">2. Image Recognition: Seeing You Clearly</h3>To personalize at scale, Glance uses&nbsp;advanced image recognition models. These analyze photos, videos, and even screen behavior to:<ul><li>Understand your body type, face shape, skin tone, and proportions</li><li>Identify visual patterns — such as whether you prefer solids or prints, bold or neutral shades</li><li>Create a&nbsp;visual map of what looks good on you, and what doesn’t</li></ul>The AI doesn’t just scan — it&nbsp;interprets. It uses this to build a profile that’s visual-first and deeply human.3. 3D Modeling: From Flat Images to Real YouThis is where it gets futuristic. Glance doesn’t just overlay outfits onto 2D photos. It uses&nbsp;3D modeling to:<ul><li>Build a dynamic version of your body (your AI Twin)</li><li>Simulate fabrics and fits in motion — how a dress flows, how jeans hug curves, how layers fall</li><li>Offer hyper-realistic try-ons, not just basic previews</li></ul>The result? You see how an outfit works with your posture, movement, and proportions — long before you buy it.<h3 style="text-align:justify;">4. Machine Learning: Always Getting Smarter</h3>Every scroll, every swipe, every time you click “Not Interested” — Glance is&nbsp;learning.Here’s what machine learning powers inside the app:<ul><li>Personalization loops: You like boho dresses and oversized blazers? It remembers.</li><li>Trend forecasting: It correlates your behavior with broader seasonal or regional trends.</li><li>Smart recommendations: The more you interact, the more precise the suggestions become.</li><li>Product pairing: It learns what kind of accessories or shoes you typically match with your outfits.</li></ul>So your Glance experience becomes more accurate, more intuitive — and more&nbsp;you — over time.<h3 style="text-align:justify;">5. Behavioral Analytics: Understanding Why You Buy</h3>What sets Glance AI apart isn’t just knowing what you like — but why you like it.This is powered by&nbsp;behavioral analytics, which tracks and interprets:<ul><li>Time spent on specific outfits or categories</li><li>The sequence of your browsing and clicks</li><li>Your purchase patterns, price sensitivity, and preferred buying times</li><li>The triggers that convert inspiration into purchase (e.g., influencer looks, limited-time deals)</li></ul>By analyzing behavior at this level, Glance delivers experiences that&nbsp;feel right — because they’re built around your actual habits, not assumptions.<h2 style="text-align:justify;">Why Does This Technology Matters in Fashion &amp; E-Commerce?</h2>Now that you know how it works — let’s explore why it’s such a game-changer.<h3 style="text-align:justify;">1. Solves Choice Overload</h3>You don’t need 200 options. You need&nbsp;five that work. Glance AI delivers curated looks based on your profile, eliminating decision fatigue.<h3 style="text-align:justify;">2. Bridges Content &amp; Commerce</h3>You don’t just see a look. You see yourself&nbsp;in the look, complete with styling suggestions, makeup, and accessories — and can shop it instantly.<h3 style="text-align:justify;">3. Minimizes Returns, Maximizes Confidence</h3>When you can visualize fit and fabric before purchase, you’re less likely to buy something that won’t work. That’s good for both the user and the brand.<h3 style="text-align:justify;">4. Keeps Discovery Fresh Yet Relevant</h3>Thanks to AI and machine learning, the feed evolves constantly — mixing your comfort zone with just the right amount of trend experimentation.<h3 style="text-align:justify;">5. Empowers Brands with Targeted Visibility</h3>Brands love Glance because they can plug into this ecosystem through real-time inventory syncs and auctions. Their products show up where they’re most likely to convert.<h2 style="text-align:justify;">Wrap Up</h2>Glance AI isn’t just digitizing the shopping experience. It’s&nbsp;redefining it. By using cutting-edge tech — from image recognition and 3D modeling to behavioral analytics and AI Twins — it puts you at the center of an intelligent, immersive fashion journey.You’re not browsing. You’re exploring. You’re being guided, but never pushed. You’re being understood, not just marketed to.And most importantly? You’re enjoying the process.Welcome to the future of shopping. Welcome to Glance AI.<h3 style="text-align:justify;">FAQs&nbsp;</h3>1. Which technology powers personalization in Glance AI?Glance AI uses machine learning and behavioral analytics to deliver real-time, personalized content and shopping recommendations based on user preferences and interaction patterns.2. How does AI avatar styling work in Glance AI?Glance AI combines computer vision, and&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/what-is-generative-ai-your-easy-to-understand-guide">generative AI</a> to create digital avatars and suggest personalized outfits that reflect the user’s body type and style.3. How does Glance AI ensure the accuracy of its recommendations?Glance AI uses AI moderation and human validation to ensure recommendations are accurate, relevant, culturally appropriate, and aligned with individual user profiles.4. How does Glance AI impact online shopping behavior?It transforms discovery by offering hyper-personalized, AI-driven experiences, reducing decision fatigue and making shopping more intuitive, visual, and intent-based. &nbsp;

The Technology Behind Glance AI: How It Works

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AI Email Writer: Future of Smart Email Marketing

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 Discover how an AI Email Writer is shaping the future of marketing, enhancing personalization, boosting efficiency, and transforming engagement.


<h2>Introduction</h2>We’re in the middle of a paradigm shift in marketing—and it’s being powered by intelligence.Today, customers expect more than just product updates and promo codes. They expect brands to know what they want, when they want it, and how they prefer to be spoken to. At the center of this evolution is one powerful tool: the&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/ai-email-writer-your-complete-2025-guide-to-smarter-email-creation">AI email writer</a>.While AI email automation tools are transforming how marketing teams operate, the real revolution lies in what they enable—smarter content, faster delivery, and meaningful engagement at scale.As a leader in the AI-driven consumer experience space,&nbsp;we at Glance closely track and publish insights on how AI is shaping e-commerce, digital personalization, and marketing intelligence. This blog breaks down how&nbsp;AI email automation is driving the future of marketing—and what businesses need to know to stay ahead.<h3>What Is AI Email Automation, and Why Does It Matter?</h3><figure class="image"><img src="https://glance-web.glance-cdn.com/688884_0f283a5000.jpg" alt="ai email writing "></figure>AI email automation combines natural language generation (NLG), machine learning, and behavioral data to write, personalize, and send emails&nbsp;without manual input.It’s not just about saving time. It’s about creating:<ul><li>Smarter content at scale</li><li>Personalized messaging across customer journeys</li><li>Responsive campaigns that adjust based on real-time behavior</li></ul>This level of automation is key in today’s landscape where attention spans are short and brand loyalty is hard-won.At Glance.com, we’ve seen how&nbsp;real-time personalization and&nbsp;AI-generated content across platforms—from lockscreen surfaces to&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-fashion-shaping-the-future-of-design-sustainability-and-personalization">AI-generated fashion</a> inspiration—can elevate customer experience. Email is no exception. AI-powered tools make email feel less like a broadcast, and more like a relationship.<h3>Personalization that Scales Like Magic</h3>One of the biggest challenges in email marketing is personalization. Most teams have the data—but not the bandwidth—to craft unique messages for different audience segments.AI email writers solve this.They tap into CRM and behavioral datasets to create:<ul><li>Dynamic subject lines</li><li>Product recommendations based on browsing/purchase history</li><li>Language tone aligned to a user's persona</li></ul>Example:“Hey Aisha, we noticed you’ve been checking out smart speakers. Here’s a curated guide to help you choose the right one for your space.”It feels personal—because it is.Even though&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> doesn’t offer email automation, its personalization engine has reshaped user expectations across mobile surfaces. That same principle—the power of relevance—is what makes AI-driven email experiences effective and unforgettable.<h3>Beyond Templates: Emotion, Tone, and Context</h3>Static templates are dead.AI email automation has ushered in&nbsp;emotionally intelligent messaging—where tone adapts based on context. For instance:<ul><li>A support follow-up might be empathetic and reassuring</li><li>A loyalty reward can be enthusiastic and celebratory</li><li>A re-engagement email may use playful curiosity</li></ul>Modern AI writers are trained not just to mimic language—but to understand&nbsp;what works for whom.Our editorial insights have long emphasized tone adaptability in AI-generated content—whether it’s styling suggestions on mobile lockscreens or personalized fashion lookbooks. Email marketing is riding the same wave. Brands that&nbsp;sound human are the ones that earn trust.<h3>Smarter Automation = Smarter Lifecycle Flows</h3>What if your emails could think?With AI, lifecycle campaigns become dynamic:<ul><li>Abandoned cart flows that adjust based on item type</li><li>Product onboarding sequences that change based on click data</li><li>Re-engagement emails that adapt tone depending on past purchases</li></ul>This turns email from a broadcast channel into a&nbsp;conversational journey.Even though Glance doesn’t operate in the email space, its philosophy of&nbsp;moment-aware content is relevant here. Brands using AI automation tools are starting to mimic the kind of micro-personalization that Glance AI brings to lockscreen experiences—only through the inbox.<h3>Real-Time Optimization That Never Sleeps</h3>Marketers spend hours tweaking campaigns: rewriting subject lines, A/B testing CTAs, changing layouts.AI email automation handles that&nbsp;in real time.It automatically:<ul><li>Tests multiple versions</li><li>Analyzes engagement across user cohorts</li><li>Deploys the best-performing variant mid-campaign</li></ul>No need to “wait and see.” The system learns as it sends.Our technology team understands the value of such&nbsp;feedback loops—whether its AI curating daily styles based on interactions or showcasing content on Glance TV based on viewership patterns.In email marketing,&nbsp;continuous optimization means better engagement, higher conversions, and deeper brand loyalty.<h3>Multilingual Reach for a Diverse India</h3>India isn’t a monolith. Your audience might prefer Hindi in Jaipur, Tamil in Chennai, or English in Bengaluru.AI email automation tools now support&nbsp;multilingual campaigns, including:<ul><li>Native translation and tone adjustment</li><li>Localized product offers and visuals</li><li>Cultural context-aware phrasing</li></ul>A fashion brand, for example, might generate emails in 7 languages—each tuned to tone and phrasing nuances of that region. And it all happens&nbsp;without adding translation overhead.Glance’s experience with regional content delivery (across mobile and TV surfaces) shows that&nbsp;localization = higher engagement. The same logic applies to email. When you speak in a language someone thinks in—you earn their attention.<h3>The Role of AI in E-Commerce Email Success</h3>E-commerce thrives on moments:<ul><li>Product drops</li><li>Flash sales</li><li>Festival offers</li><li>Back-in-stock alerts</li></ul>AI email automation tools help brands:<ul><li>Launch faster campaigns</li><li>Personalize at the SKU level</li><li>Automate restock alerts</li><li>Sync cart reminders with real-time inventory</li></ul>While Glance.com is not an email solution provider, it does drive&nbsp;commerce-focused personalization through AI look generation, discovery surfaces, and mobile-first journeys.The lesson for email marketers?&nbsp;Treat email as a commerce touchpoint, not a secondary channel. AI helps you do that.<h3>Coordination Across Surfaces (The Next Step)</h3>The inbox doesn’t exist in isolation.A user who sees a curated AI look on their lockscreen might later engage with the same brand via email, then complete their purchase through a TV interface.This kind of&nbsp;multi-surface continuity—which Glance has pioneered across mobile, lockscreen, and TV—is where email fits beautifully as a&nbsp;contextual reinforcement tool.Brands using AI email automation should look at:<ul><li>Email open data + app usage data</li><li>Email CTAs that connect to smart surfaces</li><li>Shared personalization logic across devices</li></ul>The future of marketing isn’t omnichannel. It’s&nbsp;orchestrated intelligence. Email plays a key role—and AI makes it cohesive.<h2>Final Thoughts: Glance at the Future, Even If You’re Not Sending Emails</h2>While&nbsp;Glance AI is not an email writing or automation platform, we closely observe and document how generative AI is reshaping consumer engagement.From product personalization to shopping discovery, from AI-powered fashion to lockscreen content optimization—everything we build is rooted in enhancing digital experience through intelligence.AI email automation is simply another proof point: when you personalize, automate, and learn at scale—you don’t just market. You build relationships.<h2>FAQs: AI Email Automation</h2>1. What is AI email automation? It’s the use of artificial intelligence to create, personalize, send, and optimize email campaigns automatically—improving both efficiency and engagement.2. How is it different from traditional email automation? Traditional automation uses fixed workflows. AI automation learns and adapts in real time, offering personalized messaging based on behavior, language, and context.3. Is Glance AI an email automation tool? No. Glance AI focuses on&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-shopping-guide">AI shopping</a>, personalization, and commerce discovery across lockscreen and smart surfaces—not email automation.4. Can AI email writers work in multiple languages? Yes. Most modern AI email tools support multilingual copywriting and localization, making them ideal for brands in diverse markets like India.5. What are the benefits of AI email automation? Increased personalization, faster campaign deployment, better lifecycle engagement, higher ROI, and less manual effort.6. Can AI-generated emails sound natural? Absolutely. With advancements in natural language generation, AI email content today is often indistinguishable from human-written copy.7. Is it safe to use AI for email marketing? Yes, as long as you follow proper data privacy and compliance standards. Choose platforms that adhere to regulations like GDPR and India’s DPDP Act. &nbsp;

AI Email Writers: The Future of Automated Marketing

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Discover how AI Email Writer in E-commerce enhances personalization, automates campaigns, and boosts ROI for online retail brands. Learn more at Glance.com.


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 Explore top AI email writing tools of 2025 that boost productivity, personalize outreach, and automate campaigns for better conversions.


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Explore how AI-driven product recommendations work, their models, and how they increase AOV, conversions, and personalization across retail and e-commerce.


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Explore how AI in Retail Supply Chain boosts forecasting, logistics, and delivery—real-world Indian examples and Glance AI's role in 2025.

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AI Data Analytics in Retail

Explore how AI Data Analytics in Retail powers smart decisions—personalized shopping, inventory control, pricing, and real-time customer insights.


AI Data Analytics in Retail: Use Cases, Benefits & Trends

AI Customer Experience in Retail: How It’s Changing Shopping 

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AI Customer Experience

Explore how AI customer experience is transforming the retail market—from real-time personalization to emotion-aware service through tech advancements. 


How AI Customer Experience Transforms Retail Shopping?

How AI is Transforming E-Commerce Logistics in 2025?

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ecommerce logistics 

Discover how AI in e-commerce logistics is streamlining delivery, optimizing inventory, and revolutionizing the supply chain for Indian retailers. 


In the race to deliver faster, cheaper, and more reliably, e-commerce logistics has become the beating heart of digital retail. And Artificial Intelligence (AI) is now the brain powering that heart. As consumer expectations in India rise—from same-day delivery in metros to accessible shipping in Tier 3 towns—AI is stepping up to solve the inefficiencies that once slowed e-commerce growth.<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-powered-shopping-personalization">AI in e-commerce</a> logistics is enhancing visibility, reducing waste, and powering real-time decisions, AI is helping brands meet the twin goals of efficiency and experience. With the expansion of hyperlocal delivery models, the complexity of Indian supply chains demands solutions that can operate at scale with intelligence.In this blog, we&nbsp; explore how AI is transforming logistics in India’s e-commerce sector—from warehouses to last-mile delivery—and why brands that embrace it today will lead tomorrow.&nbsp;&nbsp;<h2 style="text-align:justify;">How is AI Transforming E-Commerce Logistics?</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/future_artificial_intelligence_robot_cyborg_1_044c133a77.jpg" alt="ai is transforming ecommerce logistics"></figure><h4>1. Predictive Demand Forecasting: Anticipating Orders Before They Happen</h4>AI analyzes purchase patterns, traffic data, local events, and even weather to forecast demand at a granular level.<ul><li>Helps brands pre-position inventory closer to buyers—critical during Indian sales seasons like Diwali.</li><li>Reduces stockouts and overstocking, optimizing working capital.</li><li>Used by Flipkart and Reliance to improve inventory ROI and customer satisfaction.</li></ul><h4>2. Smart Warehousing: Automating Fulfillment Centers</h4>Warehouses are evolving into AI-powered, self-regulating hubs.<ul><li>AI manages shelf layouts, robotic picking, and predictive maintenance.</li><li>Vision systems catch defects or mislabels in real time.</li><li>Amazon India and Flipkart leverage AI bots and vision tech for faster, error-free processing.</li></ul><h4>3. Last-Mile Delivery &amp; Route Optimization</h4>AI optimizes delivery routes using real-time data—traffic, weather, and delivery density.<ul><li>Boosts fuel efficiency, speed, and success rates.</li><li>Assigns deliveries to the best-suited agents based on location and history.</li><li>Startups like Locus and FarEye help reduce failed deliveries by up to 30%.</li></ul><h4>4. Delivery Partner Allocation &amp; Fraud Detection</h4>AI ensures the right package goes with the most reliable courier.<ul><li>Allocates tasks using historical performance and geo-matching.</li><li>Flags suspicious patterns like frequent failed deliveries or return abuse.</li><li>Reduces return-to-origin (RTO) and increases trust in cash-heavy markets like India.</li></ul><h4>5. Smarter Reverse Logistics</h4>AI predicts the likelihood of returns and optimizes pickup and restocking.<ul><li>Prompts buyers with size guides or alternatives to avoid preventable returns.</li><li>Routes returns efficiently and auto-detects restockable items using vision AI.</li><li>Platforms like Delhivery and Ecom Express use this to cut return costs and speed up resale.</li></ul><h4>6. Hyperlocal Fulfillment &amp; Dark Store Intelligence</h4>AI powers real-time demand forecasting and order batching in Q-commerce.<ul><li>Optimizes what to stock at dark stores based on hyperlocal trends.</li><li>Enables 10-minute deliveries by clustering drop-offs smartly.</li><li>Zepto and Blinkit use AI to minimize delays and maximize throughput in dense urban zones.</li></ul><h4>7. AI-Driven Customer Communication</h4>AI enhances transparency and responsiveness across the delivery journey.<ul><li>Generates accurate, real-time ETAs based on multiple live data inputs.</li><li>Chatbots handle FAQs, while NLP tools escalate frustrated queries instantly.</li><li>Voice and WhatsApp AI assistants improve communication in Tier 2 and 3 cities.</li></ul><h3 style="text-align:justify;">Challenges of AI in E-commerce Logistics</h3><ol><li>Data Quality: AI needs clean, structured data. In India, inconsistent addresses, missing pincode data, and language barriers hinder AI’s effectiveness in route optimization.</li><li>Technology Integration: Legacy systems in logistics often clash with modern AI tools. Without a clear integration strategy, AI can create more confusion than value.</li><li>Talent Shortage: The demand for skilled AI professionals outpaces supply. Upskilling teams and hiring experts is crucial for AI adoption.</li><li>Regulatory Compliance: With the Digital Personal Data Protection Act in effect, logistics companies must ensure AI solutions comply with privacy regulations.</li></ol><h3 style="text-align:justify;">Why AI-Logistics in India Needs Local Intelligence</h3><figure class="image"><img src="https://glance-web.glance-cdn.com/composition_with_smartphone_used_digital_shopping_online_ordering_1_2_ea7dbb0bd4.jpg" alt="ai shopping "></figure>India’s logistics system is vast—and unlike anywhere else. For AI to be effective here, it needs to be trained on local realities, not just global datasets. Here’s what makes India different:<ul><li>Addresses Are Often Informal Directions like&nbsp;“next to the temple” or&nbsp;“near Sharma’s tea stall” are common. AI systems must be able to interpret these cues—something Western models often miss.</li><li>Delivery Environments Are Diverse From busy city lanes to remote rural paths, the logistics landscape varies widely. AI must adapt to each scenario—from navigating apartment blocks to delivering at roadside stalls.</li><li>India Is Multilingual Communication tools powered by AI need to understand and respond in local languages like Hindi, Tamil, and Bengali—and even manage the mix of English with regional phrases.</li><li>Cultural Context Shapes User Behavior Shopping habits, delivery expectations, and even how people describe their location are all rooted in Indian culture. AI must reflect these nuances to work effectively.</li><li>Generic Global Models Fall Short AI trained only on Western data often fails in India. Localization isn’t optional—it’s essential. Systems must be built to understand India’s unique geography, language, and behavior patterns.</li></ul>We at&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/what-is-glance-ai-and-how-it-transforms-e-commerce-in-india" target="_blank" rel="noopener noreferrer">Glance</a> are already showing how local context can improve user experience. Logistics players must follow a similar path—training AI with Indian data to create tools that understand India, the way Indians do.<h3 style="text-align:justify;">Conclusion&nbsp;</h3>As digital shopping becomes mainstream, AI is transforming Indian logistics from a cost-heavy backend into a real-time, customer-first engine. From predictive inventory placement to dynamic route optimization and carbon tracking, AI enhances every link in the chain—making deliveries faster, smarter, and more sustainable.Want to know more about AI's role in ecommerce?<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-in-e-commerce-guide">Read everything about AI in E-commerce</a>Because in the new world of digital commerce,&nbsp;smarter logistics begin with smarter insights.<h2 style="text-align:justify;">FAQs Related to AI in E-commerce logistics</h2>1. How does AI improve&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/smarter-inventory-how-ai-inventory-management-optimizes-stock-for-online-stores">inventory management</a> in e-commerce? AI predicts demand using customer behavior, seasonality, and trends, ensuring optimal stock levels and reduced overstocking.2. What role does AI play in last-mile delivery? AI optimizes routes using real-time data, improving delivery speed, success rates, and fuel efficiency.3. Can AI reduce return rates in online shopping? Yes, AI flags high-return products and prompts buyer interventions to reduce unnecessary returns.4. How does AI prevent delivery fraud? AI detects irregular patterns like fake delivery attempts or cash-on-delivery misuse, improving transparency.5. What is a smart warehouse in e-commerce logistics? It’s an AI-powered facility using robots, vision systems, and data analytics for faster, error-free order fulfillment.6. How does AI support hyperlocal deliveries and Q-commerce? AI forecasts demand and batches orders efficiently for faster fulfillment through dark stores. &nbsp;

Explore the mechanics, psychology, and real-world examples of AI personalized shopping. Understand how machine learning is changing retail forever

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How AI Personalized Shopping is Changing Retail

Explore the mechanics, psychology, and real-world examples of AI personalized shopping. Understand how machine learning is changing retail forever


AI Personalized Shopping: Redefining Retail for Next Decade

AI in Email Campaigns: Smarter Marketing in 2025

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Discover how AI email campaigns improve targeting, optimize content, and boost performance with real-world examples, tools, and strategy tips for 2025.


AI in Email Campaigns: Personalization That Converts

AI in Retail: Top Trends to Watch in 2025

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ai in retail trends

Discover how AI is reshaping retail in 2025, from smart inventory to personalized in-store and online shopping experiences.

<h2>Introduction</h2>The way we shop is being rewritten—line by line, algorithm by algorithm. Whether you’re scrolling on your phone, walking into a smart store, or simply unlocking your screen, AI is no longer the future of retail—it’s the framework. But what’s next? What are the&nbsp;AI in retail trends that will truly define the next chapter of commerce?Let’s be real: most retail tech trends get hyped, fizzle, and fade. But AI? It's different. It’s learning, adapting, embedding itself deeper into how we discover, compare, buy—and feel about—products. And in this blog, we’re not just listing trends. We’re unpacking the ones that actually matter for retailers, marketers, tech builders, and everyday shoppers alike.So, if the&nbsp;AI in Retail revolution interests you (or keeps you up at night), this is your 2025 guide.For a broader view of how AI is transforming the retail world, be sure to check out our in-depth&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-in-retail">AI in Retail pillar page here</a> →<h3>1. Generative AI Goes from Back Office to Front Row</h3><figure class="image"><img src="https://glance-web.glance-cdn.com/stunning_atmospheric_3d_virtual_dressing_room_generative_ai_5_7488d27b79.jpg" alt="generative ai "></figure><a href="https://glance.com/blogs/glanceai/ai-trends/what-is-generative-ai-your-easy-to-understand-guide">Generative AI</a> isn’t just writing product descriptions anymore—it’s designing experiences. What started as an automation tool for content production has now become a creative partner for brands. In 2025, we’re seeing retailers deploy GenAI to:<ul><li>Create shoppable lookbooks and moodboards (yes, Glance AI is doing this on lock screens!)</li><li>Generate personalized ads and promotions in real time</li><li>Build micro-campaigns for regional audiences without a huge content team</li></ul>Think about that for a second: your favorite fashion brand could run 1,000 localized campaigns simultaneously—each one unique, AI-built, and visually consistent.This shift from static to dynamic content unlocks&nbsp;hyper-relevant experiences, especially in fast fashion, home décor, and cosmetics. And as generative design tools mature, we’ll see AI shape product packaging, visual merchandising, and even storefronts.Retailers who treat GenAI as a gimmick will fall behind. Those who&nbsp;embrace it as a creative engine? They'll win hearts and wallets.<h3>2. Visual Discovery Will Crush the Search Bar</h3>Raise your hand if you've ever struggled to describe the thing you were looking for. "That blue hoodie from Instagram that kind of looked like the one Ranveer Singh wore in that ad." Yeah, not exactly Google-friendly.This is why&nbsp;visual search and discovery are exploding. AI now enables shoppers to:<ul><li>Upload a photo and instantly find similar products</li><li>Use AR overlays to compare items side-by-side</li><li>Scroll through curated style feeds that look like their tastes</li></ul>Platforms like Pinterest and Myntra are leading the charge—but&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> is innovating in a completely new way: by showing users AI-generated looks on their lock screen, complete with smart product tags. You don’t have to search anymore—discovery finds you.In 2025, we’re moving toward a retail world that’s visual-first, not keyword-first. If your brand isn’t yet optimizing for visual cues, image recognition, and camera commerce… well, you might be invisible to the next-gen shopper.<h3>3. AI Will Power Context-Aware Personalization</h3>“People who bought this also bought…” was fine for 2015. In 2025, it’s lazy.The new era of personalization is&nbsp;context-aware. AI will no longer just look at what you bought—but why, when, and how you felt about it. It will consider:<ul><li>Your location and local weather</li><li>Time of day and shopping history</li><li>Behavioral shifts and emotional tone (yes, AI can now read sentiment)</li></ul>Let’s say you’re scrolling late at night in Mumbai after watching a fashion reel. Glance AI could suggest loungewear styled specifically for your preferences—on your lock screen. Not in an app. Not after a login. Right where your attention naturally lives.This&nbsp;moment-based personalization will redefine conversion strategies. It’s not about blasting offers—it’s about&nbsp;timing the perfect nudge, and AI will handle that far better than any marketer can.<h3>4. AI-Powered Try-Ons Will Be the New Fitting Room</h3>Let’s be honest: trying on clothes in a store is a hassle. And online shopping? It's a gamble if you don’t know the fit. That’s where&nbsp;AI-powered&nbsp;<a href="https://glance.com/us/blogs/glanceai/ai-shopping/digital-wardrobes-and-virtual-fittings-the-future-of-online-shopping">virtual try-ons</a> are changing the game.In 2025, leading retailers are integrating:<ul><li>AR try-on for eyewear, makeup, and shoes</li><li>AI fit prediction tools that analyze your body type and past returns</li><li>Style simulation using AI-generated avatars (based on your selfie, of course)</li></ul>Glance AI is at the cutting edge of this movement, with its upcoming try-on feature embedded in its look discovery flow. Users will be able to visualize how recommended outfits look on them—before even opening a brand’s website.This trend reduces returns, increases confidence, and most importantly—makes shopping fun again. And if it works on lock screens? Imagine the impact on conversion.<h3>5. AI Will Make Retail More Ethical and Efficient</h3>It’s easy to view AI as just a tech upgrade. But it’s becoming a&nbsp;moral compass too.Retailers are under pressure to:<ul><li>Reduce waste and overproduction</li><li>Build more sustainable supply chains</li><li>Avoid discriminatory pricing and biased recommendations</li></ul>AI can help—if implemented responsibly. With the right training data and transparency, AI can:<ul><li>Forecast demand accurately to reduce unsold inventory</li><li>Promote eco-conscious products</li><li>Ensure fair personalization across diverse audiences</li></ul>This matters more than ever in India, where&nbsp;value-driven Gen Z consumers care about both price and principles. Platforms like Glance, by presenting curated, responsible product suggestions passively, offer a new way to balance&nbsp;commerce with conscience.The trend?&nbsp;AI that’s not just smart, but right.<h3>6. The Line Between Content and Commerce Will Blur</h3>Why do we scroll Instagram or YouTube Shorts? Not to shop—but we often do anyway. That’s the magic of&nbsp;content-driven commerce—and AI is the invisible engine behind it.Expect to see more:<ul><li>Shoppable videos powered by real-time AI overlays</li><li>Influencer-style lookbooks generated without human models</li><li>Interactive storytelling formats embedded into mobile UX</li></ul>This is where&nbsp;Glance AI stands out again. Its magazine-like layout doesn’t feel like a store—it feels like content. Users engage with it because it’s&nbsp;visually rich, not because they’re planning to buy. And that’s the secret sauce.&nbsp;AI shifts intent from passive to active, without pressure.In this world, the homepage is dead. Your content feed is your storefront. And if your AI can’t make that shift feel seamless? You’re out of the loop.<h3>7. Indian Retail Will Set Global AI Commerce Standards</h3>Let’s wrap this truth bomb:&nbsp;India is the most important AI retail lab in the world right now.Why?<ul><li>90% mobile-first user base</li><li>Multilingual, multicultural, price-sensitive audiences</li><li>Exploding D2C ecosystem with tech-native consumers</li></ul>This makes India the ultimate pressure cooker for building scalable, intelligent, and inclusive retail AI. And platforms like&nbsp;Glance AI, which serve personalized, visual-first shopping experiences to the&nbsp;lock screens of Indian users, aren’t just following trends—they're inventing them.The future of AI in retail isn’t happening in Silicon Valley boardrooms. It’s unfolding on the&nbsp;screens of tier-2 cities, WhatsApp carts, and lockscreen scrolls—right here in India.If you're building for this market, you’re building for the world.<h2>Final Thoughts: Watch the Trend—or Set It?</h2>AI in retail trends aren’t just tech upgrades. They’re strategic pivots. They decide:<ul><li>Who earns attention</li><li>Who gets remembered</li><li>Who wins</li></ul>Whether you’re a brand, a developer, or a curious shopper—the trends we’ve explored today are the blueprint for retail 3.0.Want the complete deep dive into AI’s impact on retail? Don’t miss our full&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-in-retail">AI in Retail Pillar Page</a> — your definitive guide to what’s already happening, and what’s next.<h2>FAQs</h2>1. What is the future trend in AI for retail? AI in retail is moving towards hyper-personalization, predictive analytics, virtual try-ons, and autonomous stores. Expect deeper integration of GenAI for smarter product discovery, real-time customer support, and AI-driven inventory management.2. How will AI affect the retail industry in 5 years from now? In five years, AI will transform retail by automating operations, enhancing customer experiences with real-time personalization, optimizing supply chains, and enabling data-driven decision-making at every touchpoint.3. What is the future of AI in sales? AI will revolutionize sales by predicting customer intent, automating lead scoring, generating personalized pitches, and enabling virtual sales assistants—driving efficiency and boosting conversion rates across channels.4. What will be the future of AI in coming future? The&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/future-of-generative-ai-key-ai-trends-2030">future of AI</a> will be marked by greater contextual understanding, real-time responsiveness, and ethical advancements. As it becomes more embedded in everyday tools, AI will act less like software and more like a strategic co-pilot across industries. &nbsp;

The Future of AI in Retail: Trends to Watch

How AI in E-Commerce Customer Support Is Changing the Game

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ai in customer support

Discover how AI in e-commerce customer support enhances service through chatbots, instant replies, multilingual help, and reduced support costs.


AI in E-Commerce Customer Support: What You Need to Know

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ai in retail examples

Explore how top brands use AI in retail—from inventory to personalization. Real-world examples show how AI is changing shopping in 2025.

AI in Retail Examples: 18 Real-World Use Cases 

Explore how AI personalization is transforming e-commerce. See how Glance is pioneering tailored, intelligent shopping experiences in India.

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AI Personalization in E-Commerce | Glance Insights

Explore how AI personalization is transforming e-commerce. See how Glance is pioneering tailored, intelligent shopping experiences in India.


<h2>Introduction</h2>E-commerce is no longer about offering more choices—it’s about offering the right choice. In a world where digital shelves are endless, AI personalization is becoming the engine that powers smarter shopping experiences. From real-time&nbsp;recommendations to mood-based interfaces, AI is changing how, when, and why people buy.In India, where over&nbsp;<a href="https://www.ibef.org/industry/ecommerce-presentation#:~:text=India%20is%20set%20to%20become,37%25%20of%20the%20total%20market.">600 million&nbsp;</a>internet users engage with e-commerce platforms in multiple languages, formats, and geographies, personalization is not just a feature—it’s an essential layer of differentiation. It helps shoppers cut through noise, discover relevant products, and feel seen.This blog explores the future of&nbsp;AI personalization in e-commerce—from how it works today to where it’s headed tomorrow. You’ll discover real-world use cases, technological innovations, and how leading platforms like Glance are using AI to personalize experiences at scale.Want a broader understanding of AI’s role across the entire commerce stack?<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-in-e-commerce-guide">&nbsp;Know more on AI in E-commerce</a><h3>1. What is AI Personalization in E-Commerce?</h3><figure class="image"><img src="https://glance-web.glance-cdn.com/1142_1_1139dbd04d.jpg" alt="ai ecommerce - personalisation"></figure>AI personalization refers to the use of artificial intelligence—particularly machine learning, data science, and behavioral analytics—to tailor content, product recommendations, pricing, and marketing to individual users. Unlike traditional personalization methods based on static rules (e.g., gender, location), AI personalization evolves in real-time, adapting to user behavior as it happens.The technology draws from a mix of user signals: purchase history, browsing patterns, time-of-day usage, cart behavior, clicks, scrolls, and even inactivity. It then applies predictive models to decide which products or content a specific user is most likely to engage with next.In India, AI personalization is especially relevant due to the diversity of user behavior. A user in Mumbai may prefer high-end electronics, while another in Indore may look for deals on fashion—but both could be using the same platform. AI enables contextual personalization at scale, ensuring both users see what matters most to them.<h3>2. Current Applications of AI Personalization in India</h3>E-commerce platforms in India have begun using AI personalization to enhance nearly every touchpoint of the shopping journey. Here are some key applications:<ul><li>Dynamic Homepages: Personalized product carousels and banners change depending on browsing history and location.</li><li>Tailored Search Results: Platforms like Flipkart and Amazon adjust search results based on user intent, device type, and previous interactions. Price Sensitivity Modeling: AI tools predict a user’s likelihood to convert at different price points and adjust pricing or offer discounts accordingly.</li><li>Language Personalization: AI selects product listings or offers in a user’s preferred language, especially on regional shopping apps.</li></ul>These applications are delivering measurable outcomes. Conversion rates improve, cart abandonment reduces, and average order value increases. Indian consumers are increasingly expecting personalization—not as a perk, but as a default shopping experience.<h3>3. The Role of Behavioral and Predictive AI</h3>AI personalization hinges on the ability to learn from past behavior and forecast future intent. Behavioral AI models track interactions like browsing depth, time spent per category, and even haptic cues (e.g., how fast someone scrolls). These signals are then used to train recommendation systems.Predictive AI takes it a step further by anticipating needs. For example, if a user browses winter jackets in early November, predictive models might suggest accessories like gloves or boots—even if the user hasn’t searched for them yet. Platforms like Myntra and Nykaa already use such predictive bundling to increase cross-sell opportunities.This layer of intelligence is especially useful in fashion and beauty where trends shift rapidly. AI not only learns from individual behavior but also from macro signals—such as what’s trending on social media, festival calendars, and local weather data—to personalize experiences.Together, behavioral and predictive AI make personalization feel magical—as if the platform truly understands the shopper.<h3>4. The Shift to Visual and Emotion-Based Personalization</h3>AI personalization is evolving beyond clicks and views—it’s becoming visual, contextual, and even emotional. With advances in computer vision and sentiment analysis, platforms can now personalize experiences based on a user’s selfie, facial expressions, or even tone of voice in support interactions.Glance’s AI Looks feature is a standout example. Users upload a selfie and receive&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/sustainable-fashion-how-ai-in-fashion-is-helping-you-reduce-waste">AI-generated fashion</a> recommendations styled to their personality. The layout mimics an editorial magazine, making product discovery feel less like shopping and more like inspiration. It also integrates seasonal cues, regional trends, and body-type awareness—bringing a whole new dimension to personalization.As generative AI matures, visual-first personalization will become more prevalent. Expect AI-powered interfaces that adjust based on your mood, real-time wardrobe suggestions based on selfie lighting, or smart mirrors that help you try on virtual looks. This emotional layer brings empathy and creativity into commerce, reshaping the buyer journey.<h3>5. The Rise of Personalization-as-a-Service (PaaS)</h3>Smaller D2C brands and regional players often lack the tech infrastructure to build full-scale AI personalization engines. That’s where Personalization-as-a-Service (PaaS) comes in. It allows brands to plug into existing AI models via APIs and integrate features like smart recommendations, dynamic pricing, and audience segmentation without deep technical expertise.Indian startups like Vue.ai and Algonomy are leading this charge, offering modular personalization solutions for fashion, electronics, and even grocery platforms. Shopify-based sellers are also increasingly integrating third-party AI recommendation tools to drive growth.This shift is critical for democratizing access to personalization. As AI costs drop and PaaS models scale, even niche brands can deliver experiences that rival large marketplaces. This will level the playing field in Indian e-commerce, especially in underserved categories.The future isn’t about who has the most data—but who uses AI most effectively.<h3>6. Ethical and Regulatory Challenges in AI Personalization</h3>As AI personalization becomes ubiquitous, concerns around data privacy, consent, and algorithmic bias grow louder. Who decides what’s personalized and what’s manipulative? How are personalization models audited for fairness and inclusion? These are not theoretical questions—they’re shaping real consumer behavior and regulatory frameworks.India’s upcoming Digital Personal Data Protection Act will influence how platforms collect, store, and use data for personalization. Consent management will need to be granular. Users must know exactly how their data is used—and have the ability to opt out without degrading their experience.Bias is another challenge. If training data skews towards urban male behavior, AI recommendations may alienate women or rural users. This affects conversion and brand trust. Platforms must invest in auditing models, diversifying training sets, and maintaining transparency.The platforms that personalize ethically will win not just users—but long-term loyalty.<h3>7. What’s Next: Hyper-Personalization and AI Shopping Assistants</h3>The next phase of AI personalization is hyper-personalization: where real-time data, multi-device behavior, and contextual signals merge to create ultra-individualized journeys. We’re talking about:<ul><li>Smart voice assistants that remember preferences</li><li>Personalized onboarding flows that adapt in real-time</li><li>Mobile homepages that change based on time of day or battery life</li><li>Dynamic content that evolves with user sentiment</li></ul><a href="https://glance.com/blogs/glanceai/ai-shopping/ai-shopping-guide">AI shopping</a> assistants—like Glance AI or future iterations of Alexa and Google Assistant—will become proactive. Instead of reacting to searches, they will suggest what to buy, when to reorder, or how to combine products. This hands-free, intent-aware interface will drive loyalty and reduce friction.By 2027, most e-commerce apps may be fully personalized overlays—no two homepages will look alike. That’s the power of scalable AI personalization.<h2>Conclusion: AI Personalization Is the Future of Digital Retail</h2>E-commerce is no longer transactional—it’s relational. Shoppers don’t want more choice; they want better choice. They want to be understood, anticipated, and respected. AI personalization delivers all that—and more.From data-driven recommendations and real-time UI changes to emotion-aware styling and voice-led commerce, AI is reprogramming retail around people—not products. In a market as diverse as India, this means more inclusive, empowering, and efficient commerce experiences.The future of e-commerce is not just digital—it’s deeply personal. Platforms like Glance are already leading the way by making AI personalization ambient, visual, and embedded in everyday touchpoints.Because when commerce understands you, everything changes.<h2>FAQs</h2>1. How is AI used in e-commerce? AI is used in e-commerce to power product recommendations, automate customer service through chatbots, optimize pricing, detect fraud, manage inventory, and personalize the user journey—making&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/online-shopping-guide">online shopping</a> faster, smarter, and more intuitive.2. How is AI used in personalized shopping? AI analyzes user behavior, preferences, and past purchases to deliver personalized product recommendations, dynamic content, tailored promotions, and even virtual try-ons—creating a customized shopping experience for each customer.3. What is the future for e-commerce? The future of e-commerce is hyper-personalized, voice-enabled, and immersive. Expect AI-driven experiences, virtual showrooms, faster deliveries through automation, and deeper integration of AR/VR for product discovery and trial.4. What will be the future of AI? &nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/future-of-generative-ai-key-ai-trends-2030">AI's future</a> lies in becoming more autonomous, ethical, and integrated into daily life. From smarter decision-making tools to human-like virtual assistants, AI will drive innovation across industries—especially in retail, healthcare, and education. &nbsp;

The Future of AI Personalization in E-Commerce

AI Commerce & Aspirational Shopping: How Glance AI Redefines Personalization in 2025

Soul in the Algorithm Humanizing Online Shopping’s Future.jpg

Tired of online stores showing you more of the same? Discover how Glance AI uses AI commerce and hyper-personalization to spark self-discovery, not just repeat your past. Explore the future of shopping where technology inspires, surprises, and truly understands you.

If you’ve shopped online lately, you’ve probably noticed something odd. Every site claims to “know” you, but what they really know is your past: the shirts you clicked, the shoes you returned, the brands you bought on a whim at midnight. Instead of sparking new ideas, these platforms just hold up a mirror to yesterday’s choices. It’s no wonder that, according to a 2025 Forrester study, nearly 80% of shoppers feel “boxed in” by recommendation engines that only show them what they already own or have browsed. Jaron Lanier, the VR pioneer, put it bluntly: “You can’t see possibilities if the algorithm only shows you what you already know.”<h2>Why It Matters: The Loss of Aspiration</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/41045_d99b9d3938.jpg" alt="online shopping "></figure>Remember when shopping was about discovery? Maybe you stumbled on a jacket that made you feel bold, or tried on something you never thought you’d wear. That’s the thrill-the sense of transformation, of seeing yourself in a new light. But when every suggestion is just more of the same, that spark fades fast. Deloitte found that 73% of Gen Z and Millennials are hungry for brands that help them explore new sides of themselves-not just offer up more of what’s already in their closet.<h2>The Old Way: Personalization as a Trap</h2>Let’s be honest: most so-called “personalization” is just a feedback loop. Bought black jeans? Here are twenty more. Clicked on sneakers? Prepare for sneaker overload. This isn’t curation-it’s repetition. Forrester’s research says only 12% of shoppers have ever found something truly “aspirational or surprising” in their online recommendations.<h2>The Shift: Aspirational Technology &amp; The Return of the Human Touch</h2>The future of <a href="https://glance.com/blogs/glanceai/ai-shopping/online-shopping-guide">online shopping </a>shouldn’t be about guessing your next purchase-it should be about expanding your sense of what’s possible. True personalization is aspirational. It’s about helping you imagine, experiment, and evolve, not just replaying greatest hits. McKinsey’s 2024 research found that brands using “aspirational” tech see a fourfold increase in customers trying new styles and categories. That’s not just a metric-it’s proof that people crave a little spark, a nudge toward something new.<h2>How Glance AI Is Bringing Back the Human Touch</h2>What if online shopping felt like a friend who truly gets your style? <a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI </a>is making that real by creating a digital version of you-not a generic model-capturing quirks like your crooked smile or unique hair texture. Unlike the tired “one size fits all” approach, it reflects your individuality across skin tone, body shape, and personal vibe, curating full outfits tailored to your taste and local weather, while predicting fit to ease return woes. It’s tech with heart, evolving with you to make every click feel personal.<h2>Why It Matters</h2>It's not anymore about copying looks or automating recommendations. There's a new kind of shopping that is coming up-one that feels like self-expression, not guesswork. If you want to peek under the hood, check out Glance AI's tech story:<a href="https://open.substack.com/pub/glanceai/p/product-lessons-from-building-glance?r=5lnm7r&amp;utm_campaign=post&amp;utm_medium=email" target="_blank" rel="noopener noreferrer"> Product Lessons from Building Glance AI’s Digital Twin.</a><h2>The Future: Shopping as Self-Discovery</h2>The brands that matter tomorrow will be the ones that help you become who you want to be-not just who you’ve been. At Glance AI, the tech being created is not just smart, but soulful. Shopping should be a journey of self-discovery, not just another transaction. With tools built for inspiration, the future of shopping finally feels human again.

Soul in the Algorithm: Humanizing Online Shopping’s Future

Glance AI’s Integration with Connected TVs.jpg

glance ai connected tv 

Discover how Glance AI transforms Connected TVs into immersive, AI-powered shopping and content discovery surfaces.


Glance AI Connected TV: An Integration Making Your TV Smarter 

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ai shopping

Learn how Glance AI is transforming online consumer behavior with personalized AI styling, avatar-driven discovery, and lock screen-based commerce.


For over two decades, online shopping behavior has looked the same. Users search, browse, compare, scroll, scroll again, and—maybe—buy. The underlying mechanics haven’t evolved much, even as platforms grew smarter and inventories ballooned.But then came&nbsp;Glance AI—and with it, a bold redefinition of how we interact with fashion content and make buying decisions.With Glance AI, there’s no search bar. No scrolling. No filter jungle. Instead, the interface is your phone’s lock screen. The product? Daily AI-generated fashion looks styled on an avatar that looks just like you.And this seemingly small shift has had a&nbsp;profound impact on consumer behavior with Glance AI. From reduced decision fatigue to higher emotional engagement,&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> is rewiring how India discovers and interacts with fashion.<h2 style="text-align:justify;">From Passive Browsers to Active Stylists&nbsp;</h2>Before Glance AI, most consumers were passive participants in the ecommerce experience. They were fed catalogs, filtered for relevance, and nudged to convert via discounts or urgency tactics. But emotional investment? Rare.Glance AI flips that completely. When a user sees a stylized outfit—on an avatar that mirrors their body type, face, skin tone—something clicks. There’s a moment of recognition. Of ownership. “That looks like me. I could actually wear that.”This isn’t a passive scroll anymore. It’s a personal style journey.The user becomes:<ul><li>A stylist (saving, sharing, or refreshing looks)</li><li>A curator (building moodboards and wishlists)</li><li>An explorer (trying styles they wouldn't search for)</li></ul>The result?&nbsp;A deeper emotional connection to fashion, leading to more intentional engagement—and a stronger impulse to buy, not because they have to, but because it&nbsp;feels right.<h2 style="text-align:justify;">Rethinking the Retail Entry Point with Glance AI</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/41045_2_0b0b8dd99b.jpg" alt="ai shopping "></figure>For years, marketers have obsessed over homepage layouts and landing page funnels. But what if the most intuitive shopping experience doesn’t start with a tap—but with a glance?That’s where&nbsp;Glance AI redefines fashion discovery. Whether it’s through the&nbsp;lock screen or the&nbsp;dedicated Glance app, users are met with&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-designed-clothes-ai-fashion-commerce-style">AI-generated outfit</a> styled on their avatar—no browsing or searching required.This dual-channel approach—frictionless discovery on the lock screen and&nbsp;deep exploration in the app—creates a seamless loop of engagement.<h3 style="text-align:justify;">A Behavioral Shift in Motion:</h3><ul><li>Old habit: Shopping only when needed.</li><li>New habit: Discovering styles daily—passively and actively.</li></ul>This subtle but powerful shift has resulted in:<ul><li>Higher engagement frequency</li><li>Longer time spent with fashion content</li><li>Increased willingness to explore new styles and categories</li></ul>Glance AI isn’t just prompting users to shop—it’s reshaping how they think about shopping. From effortless lock screen discovery to immersive app experiences, it’s cultivating a habit that’s both sticky and stylish.<h2 style="text-align:justify;">The Psychology of Seeing Yourself Styled</h2>Let’s pause and consider the psychological breakthrough here. For decades, fashion media has used models to sell an ideal. You, the viewer, were expected to imagine yourself in their place. The problem? Most people can’t. Or worse, they feel alienated by the imagery.Glance AI solves this with one elegant innovation:&nbsp;the avatar.When consumers see themselves (literally) styled in a trending jacket or ethnic kurta, the barrier between inspiration and action collapses. The mind doesn’t have to imagine the fit, tone, or vibe. It’s already there.And this has a measurable impact:<ul><li>Increases&nbsp;self-association, which enhances memory recall</li><li>Reduces&nbsp;purchase anxiety, especially for new or premium categories</li><li>Boosts&nbsp;brand trust, since the AI is styling for&nbsp;you, not just pushing product</li></ul>In short, Glance AI transforms ecommerce from utility into&nbsp;identity expression. That’s a seismic shift in consumer behavior.<h2 style="text-align:justify;">Reducing Choice Paralysis for Consumers with Glance AI&nbsp;</h2>Modern shoppers are overwhelmed. Too many options. Too little time. It’s called “choice overload”—and it’s a known conversion killer in ecommerce.Glance AI tackles this head-on with&nbsp;curated, single-outfit experiences. Each day, users receive one stylized look. They can refresh to see more, but the presentation is always calm, editorial, and focused.This minimalist approach is refreshing. It limits clutter, removes comparison anxiety, and encourages users to trust the&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/complete-guide-to-ai-stylist">AI’s styling</a> instincts.And what happens when you reduce mental fatigue?<ul><li>Higher decision confidence</li><li>Faster exploration of new categories</li><li>Greater loyalty to the platform</li></ul>It’s personalization with a side of peace—and in a noisy digital world, that’s a game-changing consumer experience.<h2 style="text-align:justify;">Micro-Interactions That Lead to Macro Conversions</h2>You might wonder: how can a swipe on the lock screen translate into a full purchase?Here’s the behavioral chain Glance AI has optimized:<ol><li>Swipe: View a personalized outfit styled on your avatar</li><li>Pause: Consider its relevance, save it, or skip</li><li>Click: If intrigued, hit “Shop Similar” to view real product matches</li><li>Browse: Explore options filtered by color, brand, or price</li><li>Convert: Purchase through one of the listed partner links</li></ol>What’s unique is that each interaction is light—but purposeful. There’s no friction, no redirection, no pressure. And because it’s all based on&nbsp;you, every click feels natural.This cumulative effect of micro-interactions drives macro outcomes—from look engagement to completed sales—with far less cognitive strain than traditional ecommerce.<h2 style="text-align:justify;">Wrap Up</h2>The&nbsp; impact of Consumer Behavior with&nbsp; Glance AI has made possible consumers are no longer&nbsp;browsing blindly. They’re&nbsp;styling intentionally.<ul><li>They know what works for them.</li><li>They save looks, not just products.</li><li>They trust the experience because it feels human—even though it’s powered by AI.</li></ul>This isn’t just a shift in interface. It’s a transformation in&nbsp;mindset. As AI becomes the backbone of more digital experiences, platforms that combine intelligence with&nbsp;empathy, simplicity, and trust will win the long game.And Glance AI?It’s already way ahead—because it puts the consumer at the center of every scroll, swipe, and style.<h2 style="text-align:justify;">Frequently Asked Questions (FAQs)</h2>1. How does Glance AI influence consumer behavior? Glance AI shifts shopping from search-based to discovery-based, building emotional engagement by showing personalized fashion looks on avatars styled like the user.2. Is Glance AI just a fashion app? No. It’s an&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/virtual-fashion-ai-commerce">AI commerce</a> experience that lets you explore fashion with personalised recommendations, AI styling and more.3. Why is seeing yourself in outfits important? When users see their avatar styled in clothes, it boosts emotional relevance, self-association, and confidence in purchase decisions—unlike static model images.4. What is ambient commerce? Ambient commerce refers to seamless, background shopping experiences—like Glance AI’s lock screen delivery—that integrate naturally into daily behavior.5. Can I customize what I see in Glance AI? Yes. The system adapts based on your body type, saved looks, skipped outfits, and styling preferences, refining results over time.6. What are micro-interactions in AI shopping? These are small behavioral actions—like swipes, saves, or “Shop Similar” clicks—that build intent and lead to larger engagement or purchases.7. Is Glance AI useful for retailers and brands? Absolutely. It provides behavior insights based on user appearance and style preference, enabling more accurate targeting and campaign optimization. &nbsp;

Consumer Behavior with Glance AI: The Impact That’s Redefining Shopping Experiences

How Glance AI Enhances User Engagement Through Personalization.jpg

See how Glance AI enhances user engagement with hyper-personalized shopping, turning every visit into a tailored, data-driven experience.


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 Introduction
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 The Power of Personalization in Modern E-Commerce
 
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 Glance AI's Approach to User Engagement
 
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 The Role of AI Avatars in Personalized Shopping
 
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 Ethical Considerations in AI Personalization

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 The Future of User Engagement with Glance AI

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 <a id="section1" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2>Introduction</h2>In today's digital age, personalization isn't just a luxury—it's an expectation. Consumers seek experiences that resonate with their preferences, behaviors, and needs. Enter Glance AI, a revolutionary platform that's redefining user engagement by delivering hyper-personalized content directly to users' lock screens. Let's delve into how Glance AI is setting new standards in personalized user experiences.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>The Power of Personalization in Modern E-Commerce</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/39963_869f4503bf.jpg" alt="personalization "></figure>Personalization has become the cornerstone of effective user engagement.&nbsp;<a href="https://porchgroupmedia.com/blog/consumers-are-looking-for-personalized-experiences-is-your-brand-delivering/#:~:text=80%25%20of%20consumers%20are%20more,personalization%20very%20or%20somewhat%20appealing." target="_blank" rel="noopener noreferrer">Studies indicate that 80%</a> of consumers are more likely to make a purchase when brands offer personalized experiences. Glance AI capitalizes on this by analyzing user behavior, preferences, and interactions to deliver content that's not just relevant but also timely and engaging.By leveraging advanced algorithms and machine learning,&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> ensures that each user receives content tailored to their unique interests. This approach not only enhances user satisfaction but also fosters brand loyalty and increases conversion rates.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>Glance AI's Approach to User Engagement</h2>Glance AI stands out by integrating personalization seamlessly into users' daily routines. Here's how:<ul><li>Lock Screen Integration: By delivering content directly to the lock screen, Glance AI ensures maximum visibility and engagement. Currently available on lock screens, with a dedicated app launching soon to expand the experience.</li><li>Real-Time Personalization: Glance AI continuously learns from user interactions, refining its content recommendations to align with evolving preferences.</li><li>Diverse Content Delivery: From news updates to <a href="https://glance.com/blogs/glanceai/ai-shopping/ai-shopping-product-recommendations">product recommendations</a>, Glance AI offers a variety of content types, keeping users engaged and informed.</li></ul>This proactive approach transforms passive content consumption into an interactive and personalized experience.<div class="raw-html-embed"><div>
 
 
 <a id="section4" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2>Case Study: Glance AI's Impact on User Engagement</h2>A recent study highlighted Glance AI's effectiveness in enhancing user engagement. By transforming 12,000 daily content feeds into personalized experiences, Glance AI achieved an<a href="https://cio.economictimes.indiatimes.com/news/strategy-and-management/how-glance-uses-ai-to-transform-12000-daily-content-feeds-into-personalized-experiences/112361025"> 80% increase in engagement&nbsp;</a>within a few days. This success underscores the platform's ability to adapt and evolve rapidly, delivering content that resonates with users.The key to this success lies in Glance AI's use of cutting-edge techniques like CLIP (Contrastive Language–Image Pre-training) and stable diffusion, which allow for the creation of content that's both relevant and captivating.<div class="raw-html-embed"><div>
 
 
 <a id="section5" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2>The Role of AI Avatars in Personalized Shopping</h2>Glance AI's introduction of AI-powered avatars has revolutionized the&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/online-shopping-guide">online shopping</a> experience. These avatars serve as digital shopping assistants, offering:<ul><li>Hyper-Personalized Recommendations: By analyzing user behavior and preferences, avatars provide tailor-made product suggestions.</li><li>Seamless Transactions: Users can make purchases directly through the avatar interface, streamlining the shopping process.</li><li>Interactive Engagement: Avatars engage users in real-time conversations, answering queries and offering personalized suggestions.</li></ul>This innovative approach not only enhances user engagement but also reduces cart abandonment rates and increases customer satisfaction.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>Ethical Considerations in AI Personalization</h2>While AI-driven personalization offers numerous benefits, it's essential to address ethical considerations:<ul><li>Data Privacy: Ensuring user data is collected and used responsibly is paramount. Glance AI adheres to strict data protection regulations, safeguarding user information.</li><li>Transparency: Users should be informed about how their data is used and have the option to opt-out of data collection.</li><li>Avoiding Bias: AI algorithms must be regularly audited to prevent biases that could lead to unfair or discriminatory outcomes.</li></ul>By prioritizing ethical practices, Glance AI builds trust with users, fostering long-term engagement.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>The Future of User Engagement with Glance AI</h2>As technology continues to evolve, Glance AI is poised to further enhance user engagement through:<ul><li>Augmented Reality (AR) Integration: Offering immersive experiences that blend digital content with the physical world.</li><li>Voice-Activated Interactions: Allowing users to engage with content through voice commands, enhancing accessibility.</li><li>Predictive Analytics: Anticipating user needs and delivering content proactively.</li></ul>These advancements will solidify Glance AI's position as a leader in personalized user experiences.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>Conclusion</h2>Glance AI is transforming the landscape of user engagement by delivering personalized content that resonates with individual preferences. Through innovative features like lock screen integration,&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-avatars-in-e-commerce-the-future-of-shopping">AI avatars</a>, and real-time personalization, Glance AI ensures users are not just passive consumers but active participants in their digital experiences.By prioritizing ethical considerations and embracing technological advancements, Glance AI sets a new standard for personalized user engagement in the digital age.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>FAQs</h2>1. What is Glance AI? Glance AI is a platform that delivers personalized content directly to users' lock screens, enhancing engagement through real-time personalization and AI-driven recommendations.2. How does Glance AI personalize content? Glance AI analyzes user behavior, preferences, and interactions to deliver content tailored to individual interests, ensuring relevance and engagement.3. Are AI avatars secure and private? Yes, Glance AI prioritizes user privacy, ensuring that data collected for AI avatars is protected and used responsibly in compliance with data protection regulations.4. Can I opt-out of data collection with Glance AI? Absolutely. Glance AI provides users with options to manage their data preferences, including opting out of data collection.5. What types of content does Glance AI offer? Glance AI offers a diverse range of content, including news updates, product recommendations, and interactive experiences, all personalized to user interests.6. How does Glance AI enhance the shopping experience? Through AI-powered avatars, Glance AI offers personalized product recommendations, seamless transactions, and real-time engagement, transforming the <a href="https://glance.com/blogs/glanceai/ai-shopping/ai-personalized-shopping-retail-revolution">online shopping experience.</a>7. Is Glance AI available on all devices? Glance AI is compatible with a variety of devices, delivering personalized content directly to users' lock screens for maximum engagement. &nbsp;

How Glance AI Boosts User Engagement via Personalization

Why AI in Retail Is  No Longer Optional.jpg

Discover 10 real AI in retail trends reshaping India and global commerce—from customer insights to inventory and personalized shopping.

AI in Retail: 10 Trends You Need to Know

Explore how fast fashion fuels identity crises and emotional manipulation through relentless trend cycles. Discover how AI, like Glance, empowers authentic self-expression and helps you reclaim your personal style.

Fast Fashion's Breaking  Point- When Style Became  Identity Manipulation.jpg

Fast Fashion’s Breaking Point: How Trend Cycles Became Identity Manipulation

Explore the rise of fast fashion, its risks to the planet and people, and how Glance AI is helping redefine fashion through personalization and sustainability.


Fast Fashion, Explained: Impact, Challenges & AI Solutions

 How Glance AI is Shaping the Future of Fashion Retail

How Glance AI is Shaping the Future of Fashion Retail.jpg

 Discover how Glance AI is transforming fashion retail with AI-generated looks, avatar personalization, and immersive lock screen shopping experiences.


<div class="raw-html-embed">
 
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 From Products to Personalities: Retail’s Shift Toward You
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 Goodbye Search Bar. Hello Lock Screen Fashion

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 Personalization Without the Creep Factor
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 Inclusivity at Scale: The True Power of AI in Fashion
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 How Glance AI Benefits Retailers &amp; Brands

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 What’s Next for Glance AI in Fashion Retail?
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</ol></div>Have you ever felt&nbsp;fashion retail whether&nbsp;Online or offline, feels transactional, cold, and outdated?&nbsp; There’s little joy in scrolling through endless product pages. Stores feel overwhelming or irrelevant. Personalization? Usually just cookie-cutter “You may also like…” sections.&nbsp;But the world has changed—and so have shoppers.They want inspiration, not inventory. They want outfits, not options. They want to see themselves in the style story.This is where&nbsp;Glance AI fashion retail emerges—not as a band-aid solution, but as a bold rethinking of what shopping&nbsp;should feel like. It blends&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/generative-ai-how-it-works-its-training-process-and-workplace-applications">Generative AI</a>,&nbsp;personalization at scale, and&nbsp;visual discovery into a seamless retail experience.No clicks. No queues. Just your reflection, dressed better than yesterday.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>From Products to Personalities: Retail’s Shift Toward You</h2><figure class="image"><img src="https://glance-web.glance-cdn.com/41045_1_2ceadac604.jpg" alt="ai in fashion retail"></figure>Old-school retail was about inventory. Who had the most styles? Who discounted the fastest? But the modern shopper doesn’t want more—they want&nbsp;better. They want fashion that&nbsp;feels personal, expressive, even predictive.<a href="https://glance.com/blogs/glanceai/ai-shopping/glance-ai-all-in-one-ai-shopping">Glance AI</a> flips the script.It doesn’t throw products at you. It builds a&nbsp;digital version of you—a personalized avatar—and generates editorial-style fashion looks based on your body type, skin tone, and style preferences. These aren’t stock photos. They’re avatars that look like you, styled by AI, refreshed every single day.This means Glance AI is not just showing you what’s trending—it’s&nbsp;making trends relatable to you.<ul><li>Want to explore streetwear? Swipe.</li><li>Curious about ethnic fusion? Your lock screen has it.</li><li>Not sure what your style is? Glance AI learns with you.</li></ul>This kind of retail personalization isn’t an add-on—it’s the new foundation. And Glance AI is one of the first platforms executing it natively.<div class="raw-html-embed"><div>
 
 
 <a id="section2" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2>Goodbye Search Bar. Hello Lock Screen Fashion.</h2>You know the typical shopping drill: Search → scroll → filter → scroll → maybe buy.It’s long. It’s cold. And it hasn’t changed in 15 years.Glance&nbsp;<a href="https://glance.com/blogs/glanceai/ai-shopping/ai-designed-clothes-ai-fashion-commerce-style">AI fashion</a> retail breaks this cycle by doing something deceptively simple: it puts fashion discovery on your&nbsp;lock screen and at a single app, where an AI-styled outfit is waiting for you.Why is this powerful? Because it turns passive phone time into fashion discovery moments. And because it doesn’t demand your attention—it earns it.With every swipe, you get:<ul><li>New outfits</li><li>Realistic styling (on your avatar)</li><li>“Shop Similar” links to instantly buy products from trusted partners</li></ul>This is what we call&nbsp;ambient commerce—shopping that doesn’t interrupt your day, but flows with it.It’s not just mobile-first. It’s&nbsp;mindset-first. And that’s exactly what modern retail needs.<div class="raw-html-embed"><div>
 
 
 <a id="section3" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2>Personalization Without Being Intrusive</h2>One of the biggest turn-offs in digital shopping is how intrusive personalization can feel. Suddenly, your feed is full of shoes you googled once—or worse, items you just talked about near your phone.<a href="https://glance.com/blogs/glanceai/ai-shopping/the-role-of-personalized-shopping-with-glance-ai">Glance AI does personalization differently.</a> It’s&nbsp;transparent, consent-based, and appearance-first.You upload a selfie. Share basic styling preferences (body type, hair texture, skin tone). That’s it. The system generates your avatar and starts serving fashion looks that match.As you interact—save looks, refresh styles, skip certain pieces—Glance AI starts learning. Not in a manipulative way, but in a subtle, stylist-like way. It remembers that you prefer pastels. It notices you save ethnic wear more than denim. And it adapts.This is personalization&nbsp;you can see and trust—with no cookies, no retargeting, no digital stalking. Just relevant, beautiful fashion that fits you better with every glance.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>Inclusivity at Scale: The True Power of AI in Fashion</h2>Most ecommerce sites still model clothes on a narrow range of bodies. That’s not just outdated—it’s alienating. Shoppers want to see how clothes might look on&nbsp;them, not on a size-zero mannequin with perfect lighting.Glance AI addresses this by creating&nbsp;inclusive avatars that reflect real users:<ul><li>Tall, short, curvy, athletic—any body type</li><li>All skin tones, hair types, and style identities</li><li>Gender-fluid and culturally diverse representation</li></ul>And it’s not just about checking the inclusivity box. It’s about making people feel&nbsp;seen.When users see an outfit generated for their exact profile, they feel a connection—an emotional click that no product grid can replicate. That’s how Glance AI builds loyalty, trust, and joy. At scale.This isn’t just fashion tech. It’s&nbsp;retail therapy that actually works.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>How Glance AI Benefits Retailers &amp; Brands</h2>Let’s not forget: this isn’t just great for users. Glance AI is a dream for retailers, too.Traditional ecommerce platforms are crowded, expensive, and click-dependent. Brands fight for visibility, pay for traffic, and often lose the user’s attention halfway through the funnel.But Glance AI offers:<ul><li>Pre-qualified discovery: Users are shown relevant looks tailored to their preferences</li><li>Integrated commerce: One tap from avatar to shoppable product</li><li>Engagement data: Retailers can see what styles are resonating by persona, not just SKU</li></ul>Plus, since Glance AI is built into the lock screen (and soon a standalone app),&nbsp;it owns the most valuable real estate in mobile. No banner ad can compete with that.In short, Glance AI doesn’t just reshape retail UX. It&nbsp;reshapes retail economics.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>What’s Next for Glance AI in Fashion Retail?</h2>We’re still in early days—and already the product feels futuristic. But the Glance AI roadmap goes even deeper:<ul><li>Virtual Try-On (Coming Soon): Users will be able to try looks on their avatar before shopping—bridging the online/offline gap like never before.</li><li>Occasion-Based Styling: Planning for a wedding, interview, or beach vacation? Expect curated looks for specific life moments.</li><li>User-Generated Avatars + Social Shopping: Soon, Glance AI users might share outfits, swap ideas, or join style challenges using their digital selves.</li></ul>As these features roll out, Glance AI will evolve from a discovery tool into a&nbsp;social shopping lifestyle ecosystem—personal, visual, and emotionally intelligent.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>Wrap Up&nbsp;</h2>Glance AI&nbsp;is live—on the Motorola E60, right now.And with the&nbsp;Glance AI app launching May 22, millions more users will soon experience what effortless fashion feels like.Glance AI isn’t about replacing stylists or brands. It’s about&nbsp;enhancing choice, confidence, and connection. It’s about reminding people that fashion isn’t about what you buy—it’s about how it makes you feel. Seen. Styled. Expressed.That’s the Glance AI effect. And it’s only just begun.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2>FAQs</h2>1. What is Glance AI fashion retail? Glance AI fashion retail refers to Glance’s <a href="https://glance.com/blogs/glanceai/ai-shopping/ai-personalized-shopping-retail-revolution">AI-powered approach to shopping</a>, where users receive personalized, daily outfit suggestions directly on their lock screen, based on their appearance and preferences.2. How does Glance AI personalize fashion looks? It uses your uploaded selfie, body type, skin tone, and hair data to generate a digital avatar and then creates stylized outfits that match your unique profile.3. Does Glance AI work for men’s and women’s fashion? Yes. Glance AI supports styling for all genders and offers fashion inspiration across different categories and style identities.4. Is Glance AI suitable for all body types? Absolutely. The avatar system is designed to reflect diverse body types, tones, and hair textures—ensuring inclusivity and relatability.5. How does Glance AI support fashion brands? Brands benefit from personalized engagement, higher product relevance, better targeting, and access to real-time behavioral fashion data. &nbsp;

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AI in E-commerce: A Winning Combination for Smarter, Faster, and Better Shopping