RETHINK RETAIL
598 episodes — Page 2 of 12
The Omnichannel Execution Gap
Retail Roundup: From Reaction to Retail Restructure
Instacart’s Connected Store Strategy
Retail Roundup: AI, Leadership & Retail Media
Moving Retail Tech Beyond the Pilot Phase
Next Phase of Retail AI: Agents & Infrastructure
Media in Retail: Why Community Matters
Cracking the E-Grocery Code of Same-Day Delivery
How Retail Innovation Is Shaping Grocery Operations in 2026
How to Win with RFID: Master the Intelligent Store
The Retail Shift: From AI to Lived Experience
Preserving Human Ownership: The Key to Measurable AI Success in Retail
AI in Retail: Operational Enabler, Not a Strategy
AI Is Changing How We Shop. Are Retailers Ready?
Beekman 1802: Beating Content Slop with Creative AI
Build for Omnichannel Success: Partnerships, AI, & Clean Data
The Chatbot Hangover Is Over: The Future of Retail Customer Service
Shoptalk Europe 2026: Moving from AI Theory to Execution
Insights from eTail Toronto 2026 (Part 2)
Relevancy Over Heritage: Stanley 1913’s Next Era
Store to Door: Making E-commerce Operationally Viable
B2B AI Secrets: How RS Group and Rezolve Ai Scale
Insights from eTail Toronto 2026 (Part 1)
How Australian Retailers Are Rethinking Store Systems
Precision as the New Competitive Advantage: Inside the Next Frontier of Grocery Operations
Agentic AI: The Realization Phase of Retail Commerce
Crate & Barrel: Store Design for Digital Shoppers
Digital Joy: Hershey’s Strategy for Retail Design
The Future of Food and Grocery: Trends, Technology & Global Best Practices
Patagonia’s Purpose: Angela Clark on Digital Strategy
How Bealls Inc. Builds Trust in Autonomous Agents to Transform Planning Operations
Scaling Luxury: The Elizée Digital Playbook
Loyalty and DTC Basics: Jennifer Peters on OLLY
Micro-Arbitrage: The New Retail Media Strategy
Navigating AI and Strategic Partnerships in Grocery
Building on Solid Ground: Dataiku on Why Retail AI Is About to Have Its Reckoning
The Future of Grocery Retail: Consumer Behavior, AI, and the Case for Better Operations
Visibility to Action: Tom Meehan on RFID Strategy
Selling Without Sales: Ankur Goyal on Growth Strategy
From Chore to Ritual: How quip Uses Agility to Disrupt Oral Wellness
Scaling Community: Sarah Grosz on the Allbirds Blueprint
Why Most Companies Lose Their Edge as They Scale
Agentic AI in Luxury Retail: Making Personalization Work at Scale
Why Your Store P&L Is Lying to You
Stress-Testing (Retail?) Vendors in the AI Era with Levain Bakery
Designed for Change: How Modular Architecture Is Rewiring Retail
Crossroads of Commerce: Scaling Beyond DTC
How to Sell When Bots are Your Primary Customer with Hanna Andersson

How Boot Barn Turns AI Into a Store Associate, Not a Chatbot
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.

Unified Commerce: Bridging the Execution Gap
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.