Blog · Takes
Takes, page 2 of 4
Points of view from the Lily AI team on where retail discovery is going and what actually moves revenue.
TakesWhat Do Marketers Need to Know About Google’s “AI Mode”?
At Google I/O 2025, Google unveiled “AI Mode,” a conversational search experience now live for all U.S. users. Is it revolution or evolution, and what does it mean for SEO and SEM?
TakesPeople Still Matter: Why Humanity Must Remain at the Heart of Retail’s AI Revolution
Technology should not be a shortcut to workforce reduction. It should be a catalyst to reimagine and elevate the work that only humans can do in retail.
TakesWhat Are the New SEO Strategies for the AI Era of GEO, AEO, and Agentic Search and Shopping?
Bain estimates companies are seeing a 15% to 25% reduction in organic web traffic across industries. Where did the traffic go, and what does winning search look like now?
TakesAdvertising’s Blind Spot: The Role of Product in Audience Targeting and Personalization
For all the advertising industry's focus on the consumer and personalization, there is a glaring blind spot: the personalization equation is equal parts consumer and product.
TakesAI Training Data: Why It’s GIGO When Building Next Generation Frontier Firms
Microsoft’s research introduces “Frontier Firms” — organizations restructured around humans and AI agents working side by side. But garbage in still means garbage out.
TakesFrom Vibe Coding to Vibe Marketing and Content Optimizing
Anthropic expects AI to write 90% of its code and Shopify wants proof AI can’t do a job first. Vibe coding captures a cultural shift now reaching retail product content.
TakesTapestry Exec: Saying No to AI is Like Saying ‘No, We Don’t Like Money’
At the SJ Fall Summit, Tapestry's SVP of Global Digital Product & Omnichannel Innovation opened with a mic-drop moment: saying no to AI is like saying “No, we don't like money.”
TakesThe AI-Fueled Vibe Shift Happening in Product Search
In our SMX Next demo session we explored how retailers can navigate an evolving product search landscape where consumers are no longer confined to traditional search engines.
TakesAI Index Deep Dive: Top 10 Fashion Brands
A peek at the top 10 fashion brands in the 2024 Retail AI Index, and the innovative ways they use AI to serve customers, boost personalization, and enhance internal processes.
TakesFrom Y3K to Indie Sleaze: Brat Summer’s 4 Key Fashion Trends
Charli XCX’s brat is a critical and commercial hit, and social media has run with it. Several of today’s hottest fashion trends now fall squarely into the brat summer aesthetic.
TakesHow to Harness the Natural Language of the Customer to Dominate The Present and Future of Search: Part 3
AI is changing the way people search and shop. Part 3 of our series on why rich product attributes in the language of the customer are critical to surviving and thriving.
TakesWhy Product Attributes Are Key to Dominating Search on Google, and Beyond: Part 2
Search is changing thanks to AI, and almost all eyes are on Google. A look at the shifting search landscape and the evolving search and shopping habits behind it.
TakesHot 2024 Summer Trends: Athleisure & Americana-Inspired Fashion Product Attributes
Retailers who sell athleisure can optimize product listings with athleisure-inspired attributes ahead of the 2024 Summer Games. A look at the season's hottest athletic-inspired trends.
TakesHow AI Is Fueling a Customer-Centricity Renaissance in Retail
Everyone’s been talking about customer-centricity for some time, but putting it into practice is incredibly difficult. AI is ushering in the customer-centricity Renaissance retailers need.
Takes3 Big Takeaways From Report On Gen AI Transforming Brand Experiences
An executive summary of Retail TouchPoints’ Tech Guide on how generative AI is transforming brand experiences at three stages of the buying journey: discovery, recommendation, and conversion.
TakesThe Dirty Truth About Clean Retail Data
Data is the lifeblood of AI, data science, and analysis, yet product data is rarely as clean as it needs to be. Missing, messy, and dirty data means garbage in, garbage out.
TakesTrustworthy AI: What Makes—and Breaks—Consumer Confidence?
Consumers are wary of AI even as trust in the tech industry runs high. Here’s how to build consumer trust in AI, and how the right AI makes shoppers more confident in your brand.
TakesHow Can AI Boost Profitability for Retailers in Economic Uncertainty?
Consumers are bracing for continued economic uncertainty, and tightening pursestrings hit retailers directly. Here is where AI’s retail promise lies.
Takes2024 Trends: Macro vs. Micro
Today’s trend cycles come and go faster than ever. We examine three hot micro-trends and their macro-trend counterparts across fashion, beauty, and home.
TakesHead of Digital: How to Work With AI in 2024
AI boomed in 2023 and is on pace to become essential in retail. Here is how it will change work across the teams that report to the Head of Digital.
Takes3 Research-Backed Ways AI Enhances Omnichannel Shopping
In 2024, shopping must be personalized and seamless, weaving together online and offline. Three of retail’s biggest trends and how brands can harness AI to address them.
TakesKey Takeaways from This Week’s Business of Fashion VOICES Conference and State of Fashion Report
The Business of Fashion VOICES conference and the BoF and McKinsey State of Fashion 2024 report sent one clear message: AI is already well-integrated into the fashion industry.
TakesCapitalizing on the Mobile Shopping Experience with AI
As more and more online shopping happens via mobile, retailers have a unique opportunity to leverage AI to capitalize on the mobile shopping experience.
TakesAI for the Holidays Webinar: 6 Key Takeaways
Many retailers believe the window to test new technology closes by mid-October. Purva Gupta says it’s never too late, especially with AI. Six takeaways from our holiday webinar.