RETHINK RETAIL

What if the real problem with AI in retail isn’t intelligence—but expertise? Recorded live at Shoptalk Spring in Las Vegas, this conversation breaks down how Boot Barn is tackling one of retail’s hardest challenges: scaling deep, technical product knowledge across 500+ stores—without losing credibility on the floor. Instead of relying on generic chatbots, Boot Barn built a custom AI “associate” designed to know the difference between looking right and being right—especially when safety, compliance, and performance matter. Key Insights: - AI is only as good as what it knows. Boot Barn uses Retrieval-Augmented Generation (RAG) to ground AI in real product specs, safety standards, and brand knowledge—reducing hallucinations and increasing trust where it matters most. - The real unlock isn’t AI—it’s humans training it. Professional copywriters aren’t being replaced—they’re evolving into AI trainers, shaping how the system communicates and ensuring the brand voice stays authentic to the Western and workwear customer. - Expertise, on demand. In a high-turnover retail environment, AI becomes a “digital co-worker”—giving store associates instant access to complex product knowledge they might otherwise take years to learn. - Search is no longer the battleground. As discovery shifts toward AI-driven answers, Boot Barn is preparing for a world where visibility depends on how well your knowledge is structured for machines—not just humans. Listen to the full conversation to see what retail AI actually looks like when it works.

Moving Beyond the Buzzwords Unified Commerce isn't a new term, but true execution remains the "Holy Grail" for enterprise retailers. In this episode, Steven Bailey, Partner at EY and Jonathan Aitken, SVP at RADAR, discuss why the gap between vision and reality is still so wide, and how to close it. The Foundation of Real-Time Retail From the friction of in-store returns to the high cost of order cancellations, the duo explores how fragmented data ruins the customer experience. They break down why "throwing AI at the problem" isn't a fix for a broken architectural foundation. Key Insights include: - Journey vs. Channel: Why structural alignment matters more than technology. - The Smart Store: Transitioning physical locations from "sales points" to "intelligence hubs." - Inventory Truth: Why 99%+ accuracy is the non-negotiable starting point for 2026.

The “Connected Store” has moved from concept to operational priority. In this episode, Pauline Monin (Vusion) breaks down how digital shelf technology is transforming physical stores into responsive, data-driven environments. Operational Excellence & Local E-Commerce Automated pricing removes manual processes and reduces errors at scale, allowing store teams to focus on higher-value tasks. At the same time, stores become more effective local fulfilment hubs. With “Flash-to-Pick” LED guidance, associates can follow optimized picking routes, improving speed and consistency for online order fulfilment. The AI & Retail Media Opportunity Through EdgeSense, fragmented in-store data is unified into a single intelligence layer. This enables AI-driven recommendations across pricing and assortment, while also opening the door to in-store Retail Media. Digital displays can measure engagement such as dwell time, giving brands clearer visibility into performance at the shelf.

Recorded live at Shoptalk Spring, this episode of the AiR Podcast tackles the shift from AI experimentation to real-world accountability. Mark Williamson, AVP of Retail Media at Costco Wholesale, joins Kimberly Morgan, CEO of The Fashion Tech Exec and a Top AI Leader, to discuss why Costco is building its technology ecosystem "from the studs up." The Path of Most Resistance While many retailers opt for "plug-and-play" black-box solutions, Williamson explains why Costco is intentionally choosing a more complex, transparent path. By keeping member data behind its own firewall and inviting partners to work natively inside the Costco data cloud, the company eliminates signal loss while upholding its core code of ethics: respect for the member and respect for the supplier. No AI Strategy Without a Data Strategy The conversation centers on the necessity of a modular, interoperable tech stack. Morgan and Williamson explore how this foundation prepares Costco for the era of agentic commerce. By organizing data properly today, Costco ensures it can provide relevant value wherever members shop in the future—whether via an LLM, a search engine, or the warehouse floor.

This podcast features Darko Pavic, CEO at Fiscal Solutions and Michael Zakkour from 5 New Digital, discussing a critical yet overlooked pillar of global expansion: fiscalization. Why Compliance is Your Transaction Architecture: Fiscalization is more than bureaucracy. It is the technical foundation of every global transaction. Darko introduces his new book, The Fiscalization Compliance Maturity Model: To help retailers move from "firefighting" emergencies to a structured, strategic advantage. The 4 Levels of Compliance Maturity: - Level 1 (Reactive): Ad hoc responses and constant emergencies. - Level 2 (Fragmented): Siloed regional teams and high double work costs. - Level 3 (Connected): Shared tools and unified data architectures. - Level 4 (Strategic): Compliance as a high speed growth engine. Whether you are expanding into 5 countries or 50, this session provides a checklist for turning legal risks into a competitive edge. Watch the full interview to future proof your global retail operations.

Most AI projects die in the boardroom because they ignore the person holding the handheld scanner. In this episode, Sharon Gai, Matt Redwood, and Paula Angelucci move past the hype to discuss what actually works on the shop floor. The Pivot from Shiny to Useful Stop starting with the technology. Matt Redwood argues that the most successful AI implementations begin with a specific human frustration. Whether it is identifying non-barcoded produce or managing "dark" areas of the store, the tech must serve the journey. One pilot even saw a 75 percent reduction in shrink, but the real win was the store staff lobbying to keep the tools because they made their jobs easier. Empowering the Artist Paula Angelucci views AI as the ultimate tool for the frontline. By automating the "laundry" of the industry, retailers can finally return to being entertainers and experts. From AI-driven leadership coaching to real-time product insights, the goal is to give associates their time back. Watch the full interview to see how Diebold Nixdorf and WHSmith are turning data into a genuine competitive advantage.

Your product data wasn't built for AI agents. Here's why that's a problem. In the latest episode of RETHINK Retail's award-winning AiR (AI in Retail) podcast series, host Jamie Tenser sits down with @Anne-Claire Baschet, Chief Data & AI Officer at @Mirakl and a Top AI Leader recognized by RETHINK Retail, to explore the seismic shift happening in retail discovery right now. Anne-Claire brings a rare combination of deep technical expertise and strategic vision, from her roots as a Data Scientist at AXA to leading e-commerce platforms at Aramis Group, and now driving AI innovation at Mirakl. As a recognized leader in the AI retail space, she's at the forefront of what she calls the "agentic era" in commerce. The reality check: • 53 million shopping queries happen daily on ChatGPT alone • 60% of shoppers now use AI in their shopping journey • Traditional keyword optimization? It's no longer enough What retailers must do now: ✓ Product data & API infrastructure – Make your catalog AI-responsive, not just mobile-responsive ✓ Brand content & social proof – Build trust signals that AI agents recognize ✓ Pricing transparency – Show the real price (product + promo + tax + shipping) ✓ Fulfillment capabilities – Accurate stock and delivery promises matter more than ever ✓ Performance tracking – Test, learn, and optimize for agentic channels Anne-Claire's advice for 2026? "Experiment. The ones who win are going to be those whose products AI can actually find, understand, and recommend."

In this episode of the RETHINK Retail podcast, Julia Rogers Vargas, VP and GM, Identification Solutions at Avery Dennison and Sasha Wallinger, contributor at Forbes move past the buzzwords to find the "magic" in the retail grind. The End of the Visible Transaction We are rapidly approaching a "post-transactional" world. As AI bots begin to automate our daily chores, from replenishing diapers to choosing grocery brands, the traditional checkout experience is fading. Sasha and Julia explore why this shift forces a total pivot in marketing: if a bot is making the purchase, a brand’s only survival strategy is a deep, emotional relationship with the human behind the machine. Data as the Non-Negotiable Floor You can't build "magic" on a broken foundation. Julia highlights that while everyone is chasing AI, the real winners are those perfecting their data accuracy through RFID and sensor technology. If the information feeding your digital models is inaccurate, the entire ecosystem collapses. Accurate "track and trace" is what allows the logistics to become invisible, leaving room for the human touch. Freeing the "Hardy" Retailers Retail has always been about "humans serving humans." By automating the tedious, manual processes, what Julia calls the "laundry" of the industry, we aren't replacing the workforce. Instead, we are re-empowering retailers to be the entertainers and artists they were meant to be, bringing intimacy and delight back to the physical space. Watch the full interview to see how Avery Dennison is bridging the gap between digital intelligence and physical artistry.

Liza Amlani (Retail Strategy Group) and Aimee Heuschkel (Lectra) joined RETHINK Retail at NRF to discuss why the industry is currently making too much of the wrong product. The Overdevelopment Crisis Right now, brands are throwing supply at consumers and hoping demand follows. With 81% of retailers struggling to keep up, the result is massive waste and shrinking margins. The fix requires moving from reactive systems to predictive, data-led models. Breaking Down Retail Silos Teams are often "rowing in different directions." Success in 2026 requires bringing design, sourcing, and materials together at the very start of the process. When everyone aligns on business goals rather than siloed targets, efficiency skyrockets. Materials as a Strategic Unlock Instead of fabric being a "service" to design, it should be the starting point. Elevating materials teams reduces waste and simplifies calendars, ensuring your brand is ready for upcoming transparency regulations like Digital Product Passports (DPP). Listen the full podcast to future-proof your product journey.

Marie Schwartz caught up with MaryLeigh Bliss from Ypulse at NRF to talk Gen Z in 2026. The old marketing playbooks? They’re history. The 20-year trend cycle is over. MaryLeigh explains how social media has created a "firehose" of fragmented trends where Gen Z is nostalgic for everything at once. Whether it’s a 90s reboot or a meme from two weeks ago, the pace is moving faster than most retailers can keep up with. We’re also seeing the rise of the "AI Detective." Gen Z is hunting for glitches and demanding that AI-generated content be clearly labeled. Transparency is now a requirement for trust, which is why brands like Aerie are winning by doubling down on human authenticity. Finally, the "post-social" era has arrived. Follower counts don't guarantee reach anymore, the algorithm is the new gatekeeper. From the "social closet" (dressing up for TikTok but living in sweatpants) to the surprising return of cinema-going, this episode covers exactly how to reach the next generation in 2026. Watch the full interview for the complete Gen Z playbook.