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Consumer habits are shifting fast, and the pressure on grocery retailers to keep up has never been greater. On the latest RETHINK Retail Podcast, R.J. Hottovy of Placer.ai and Aidan Mittra, Co-founder of OrderGrid, discuss the state of the industry and how retailers can adapt to modern demands. THE KEY TAKEAWAYS: - Shoppers are more fluid than ever: Consumers are moving freely across in-store, pickup, and delivery channels based on convenience. Consistent execution across every touchpoint is now critical. - Retail routines are expanding: Macroeconomic pressure is driving shoppers to spread spending across discounters, club stores, and convenience retailers rather than relying on a single grocery brand. - Back-end operations are the differentiator: Heavy investment in front-end digital experiences means little without reliable inventory accuracy and quality behind the scenes. - AI in grocery is finding its footing: Current applications are largely front-end focused, but the foundation being built today will determine how effectively retailers can deploy AI operationally in the future. Winning in modern grocery retail starts not with the customer-facing experience, but with the operational infrastructure powering it.

Here is the Spotify-optimized version for the Inventory Truth episode with Ted McCaffrey and Tom Meehan. I’ve focused on making those "Core Perspectives" pop so listeners can quickly see the technical value of the conversation. The Optimized Spotify Version Copy and paste this text directly: DESCRIPTION Retail transformation fails in the gap between corporate data and the sales floor. In this episode, Top Retail Expert Ted McCaffrey and Tom Meehan, CEO of CONTROLTEK, discuss why "inventory truth" is the only metric that matters in 2026. THE CORE PERSPECTIVES: 🔍 Distortion vs. Loss: Why a low shrink rate often hides the fact that your stock is 40% inaccurate for the actual shopper. 🤖 The Co-Pilot Mindset: Moving from manual counting to autonomous RFID so associates can focus on humans, not boxes. 📉 Data over Bias: How real-time visibility removes "gut feelings" from high-stakes merchandising decisions. THE BOTTOM LINE: Value isn't found in the code. It is found in the result. Stop counting loss and start driving action. Listen to the full episode here!

Most growth leaders spend their lives chasing the promotional calendar. Ankur Goyal spent his time building a brand that didn't need one. In this episode, Marie Schwartz sits down with Ankur Goyal, the man who helped lead Coterie to a major acquisition. They move past the standard "growth hacks" to reveal the discipline required for true innovation. THE GROWTH BLUEPRINT: 📊 The Data Foundation: Before touching AI, you need a clean data warehouse. Ankur explains why AI is not a band-aid for a messy business, but a superpower for a disciplined one. ✍️ Messaging Over Medium: If you cannot sell your product on one channel at full price, adding four more won't save you. Ankur breaks down why the "creative engine" is the real heartbeat of growth. 🏗️ Selling Capability: Acquirers buy capabilities, not just spreadsheets. Ankur’s team built a self-sustaining machine that didn't rely on the "peak moments" of the retail calendar. THE TAKEAWAY: Stop managing the algorithm. Start mastering the message.

The era of "testing" AI is over. For retail leaders, the tension has shifted from theoretical potential to a mandatory operational overhaul. If you aren't actioning data within 24 hours, you’re already behind. Recorded at Shoptalk, quip CEO Meredith Glansberg joins Kimberly Morgan, a Top AI Leader, to dismantle the hype surrounding retail tech. Glansberg argues that AI isn't a "point solution"—it is a foundational layer that must support the high-trust, high-touch reality of wellness products. KEY INSIGHTS: 🏗️ Foundational Readiness: AI belongs in the infrastructure, not just the marketing. quip utilizes a 24-hour "communication loop" to turn insights into action, ensuring the brand moves at the speed of the consumer. ⚡ The Agility Edge: Being a "mid-market" player is a strategic superpower. Unlike legacy "big ships," quip’s nimble structure allows them to pilot and scale AI-driven shifts while competitors are still in committee. 🦷 Humanizing the Technical: Tech should solve physical friction. While AI identifies the need, human-centric design—from "gunk-free" handles to seamless travel cases—delivers the solution. ✨ Category Expansion: By linking oral hygiene to the "Get Ready With Me" (GRWM) beauty movement, quip is reframing a 2-minute chore as an essential wellness ritual. LISTEN NOW: Listen to the full conversation here.

Most brands treat influencers as a side project. At Allbirds, it is a unified revenue engine. Sarah Grosz joins Marie Chevrier Schwartz to discuss moving the brand beyond ad-hoc product seeding to a 3,000-plus member network that drives predictable ROI. THE CORE STRATEGY: 🛑 The Problem: The Ad Plateau: Traditional paid channels hit diminishing returns as spend increases. An influencer ecosystem creates "surround sound" that builds trust and lowers acquisition costs. 📸 The Approach: Content as an Asset: The biggest mistake is letting creator content die in a 24-hour story. Sarah discusses securing media usage rights upfront to "whitelist" posts and repurpose them across every digital touchpoint. 📈 The Result: Performance at Scale: By automating logistics and focusing on creator relationships, Allbirds has turned social proof into a scalable science. THE TAKEAWAY: Value is not found in a single post—it is found in the network.

Most organizations break the same way: they get bigger, slower, and more rigid. Ujjwal Dhoot of Tractor Supply Company argues for the opposite approach: if you want to scale, you have to build like water—not like a box. ADAPTABILITY OVER RIGIDITY: 💧 Build Like Water: Scaling doesn’t mean chaos; it means fluidity. The best teams know when to standardize—and when to flex. 🏗️ Structure Without Constraint: High-performing teams operate within a structure, but they aren’t trapped by it when the environment shifts. ⚡ Preserving Speed: This mindset is how you maintain momentum through growth and acquisitions, where culture and speed usually get diluted. THE TAKEAWAY: ✨ If your organization only works under perfect conditions, it won't last. 🚀 If it can adjust without breaking, it will.

Top Retail Expert Joshua Rockoff was joined by Yuliya Samsonava from EPAM and Vic Miles from Microsoft onsite at Shoptalk Spring to explore how agentic AI is being applied within luxury retail. In this episode, we dive into connecting data across systems, supporting decision-making in real time, and elevating the role of store associates. RETAILERS WILL GAIN INSIGHTS INTO: 📱 The Modern Associate: How to equip store associates with a complete, real-time view of each customer. 📈 Demand Signals: How to improve product allocation using live demand signals and client-level insights. ✨ Service Recovery: How to streamline service recovery while maintaining a high-touch, luxury experience. 🏗️ Orchestration: Why AI should sit as an orchestration layer across systems rather than a siloed tool. THE BOTTOM LINE: If you're evaluating where AI can drive measurable impact across your business, this podcast provides a grounded, execution-focused perspective.

If your digital team and your store team are arguing over attribution, you don't have a measurement problem. You have a customer problem. Most retailers still treat stores like isolated P&Ls—judged on what happens inside four walls. But something else happens the moment a store opens: Search spikes. Traffic shifts. Conversion improves—everywhere. On the ground with Courtney Hawkins of CH Retail Group, we got into why the real metric isn't store revenue. It’s market-level impact. HERE'S THE SHIFT: 💡 Stores aren't just sales channels—they're demand engines: A physical presence lifts digital performance across an entire metro. 🚀 Attribution models are fighting the wrong battle: When teams protect "their" numbers, they miss what’s actually driving growth. 📈 The store is your most underpriced asset: Marketing, fulfillment, brand—wrapped into one. THE BIGGER IDEA: • Customers don't think in channels. • So why do our org charts and P&Ls?

Most retail AI isn't solving problems; it's hiding them. The industry is currently addicted to "overlays"—cheap, automated layers that promise instant compliance—but building on a mask is just waiting for the legal or operational consequences to catch up. At Shoptalk, Gustavo Cardona, VP of Technology at Levain Bakery, joined us to dismantle the "plug-and-play" fallacy. For a brand scaling from a neighborhood bakery to a national powerhouse, technology isn't a silver bullet—it's a foundation. Cardona's playbook rejects "set-it-and-forget-it" tools in favor of code remediation (fixing the source, not the surface) and API flexibility. By integrating eight source systems into one "cent-perfect" data warehouse, Levain Bakery transformed tech from a cost center into a strategic engine. THE KEY UNLOCKS: 🛠️ Remediation Over Overlays: Don't use AI band-aids for web accessibility. Fixing the underlying code de-risks the business and ensures a truly equitable customer experience. 🤝 The "Cent-Perfect" Peace Treaty: Unified data ends internal friction. When Finance and Operations pull from the same "fountain," the organization stops debating the data and starts acting on it. 🏎️ APIs are the Chariot; AI is the Cherry: Don't buy a vendor for their AI features alone. Prioritize API flexibility so your "chariot" (infrastructure) can handle 10x seasonal surges. 📊 Role-Based Reporting: "Dashboard fatigue" is a personalization failure. If a CEO can't make a decision based on a report that day, the report has failed. THE TAKEAWAY: Innovation isn't about having the most AI; it's about having the most discipline. The winners of this era will be those with the cleanest code and the most integrated data.

The Central Nervous System: Rewiring Retail with Modular Architecture Diebold Nixdorf and Kitestring explain how modular architecture serves as the foundation for resilience. Guests Bernd Kraus and Eugene Park move beyond the "rip and replace" mentality to show how retailers can modernize while keeping the lights on. Core Insights: - By separating hardware from software, retailers gain the freedom to innovate on the storefront without waiting for a hardware refresh cycle. - Store uptime is non-negotiable. The challenge is balancing the rapid "sprint" culture of e-commerce with the enterprise-grade reliability required for brick-and-mortar operations. - From EV charging to third-party delivery, retailers are losing visibility into the customer journey. A modular backend is the only way to unify these disparate data points into a single, loyal experience. The Bottom Line: A future-proof system does not exist. What exists is an agile system that allows you to say yes to the unpredictable.

Direct-to-consumer (DTC) gave brands control over experience, data, and customer relationships. As brands grow, that model alone becomes limiting. This episode explores how brands move from subscription-based models into retail and multi-channel strategies — and what changes when products leave controlled environments and enter broader distribution. Podcast Overview Fritz Finlay is joined by Reba Hatcher, Chief Commercial Officer at ButcherBox, and Jennifer Cline, CMO of SubSummit. Together, they discuss the transition from DTC to retail, focusing on how brands scale while maintaining consistency across channels. Key Topics Covered - Why DTC alone is no longer sufficient for growth - How brands transition from subscription to retail - The trade-offs between control, scale, and visibility - What changes in product positioning, messaging, and packaging - Operational challenges of multi-channel expansion - How DTC and retail strategies can work together About SubSummit This episode is part of SubSummit (May 13–15, Kansas City), a leading event focused on subscription, commerce, and retail. SubSummit brings together brands and operators working through multi-channel growth, including the shift from DTC to retail environments.

Most retailers are still optimizing for a world where a human types a keyword into a bar. But at Hanna Andersson, Matt Ezyk is architecting for a reality where AI agents browse and filter on behalf of the consumer. In this episode, we discuss the architectural survival of brand identity in a decentralized world. - The Bilingual Storefront: LLMs crave data density (fit, texture, origin) that ruins human UX. Use "Accordion" Architecture to hide technical metadata from the human "dopamine hit" while keeping it readable for the bots that control discovery. - LLMO (Large Language Model Optimization): Your brand identity is being reconstructed by AI using Reddit and training data. To stay relevant, return to the basics of structured data to ensure the machine treats your quality as a fact, not a slogan. - The Intuition Guardrail: AI is a rearview mirror. It fails at "newness." Human merchandising "hunches" are the only way to signal relevance for new collections that lack historical data. The Bottom Line: In 2026, building for the click is a legacy strategy. To survive the Agent Era, you must build for the conversation. If your site doesn't speak "bot," your human customers will never find your story.

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.