Your Inventory Data is Lying to You

Your inventory system says the shelf is full. Walk over and look. It's at least 17% empty of key items. That gap just cost retail $690.9 billion this year. Hi, I'm Clare. Thanks for joining. I'm your host for the Retail Reality Check, a podcast on the latest tech installs in retail and consumer product goods. Brought to you by IHL Group. Before we get into it, a quick word. If you're trying to figure out what AI readiness actually looks like at the store level, not the slide deck version, we just wrapped a webinar called AI Reality Check: What Retailers Need to Get Right Before Scaling AI. Research experts from IHL sat down with Connexion and Dell to talk through why the next wave of retail transformation runs through infrastructure data, and edge technologies before it runs through anything customer-facing. The replay is free. Registration is in the description below. This week, the numbers finally caught up to something most retailers already feel in their gut. The industry is bleeding well over $1 trillion a year to bad inventory data, and this week's headlines put a precise price tag on on every piece of it. Start with the big one. IHL Group's own research puts global out-of-stocks at $690.9 billion a year. And here's the part that should bother you: the item is usually sitting in the building. It's a phantom stockout. The system says it's there, the shelf says it isn't. IHL has measured this directly in our 2026 Inventory Distortion Study. Sales winners adopt RFID at 16 times the rate of laggards, the largest performance gap we've ever recorded. And the retailers who sequence data integrity ahead of the technology purchase, not after it, post 2.3 times the sales growth and 2.5 times the profit growth of their competitors. Then there's shrink. Theft and organized retail crime now cost retailers $379 billion a year worldwide. And again, the real damage isn't the missing merchandise. It's what that missing merchandise does to the count. Every stolen item creates a phantom unit that keeps the replenishment engine from reordering. Our research on this one is blunt. Sales winners are 33 times more likely to be running computer vision than their peers, and first-year returns on that technology are exceeding 300%, with payback under 6 months. on facial recognition specifically. Shrink stopped being a security budget line item. It's an EBITDA lever now. On the pricing side, IHL's study finds the price optimization software market nearly doubling from $4.1 billion in 2025 to $7.7 billion by 2030, as pricing, promotions, and markdowns converge into one unified AI platform. We've seen this pattern before. Retailers using AI and machine learning posted 16% higher sales growth and 134% higher profit growth than the retailers sitting it out. Here's where it gets good. 2 retailers in this week's news aren't waiting around for that curve to catch up to them. Sandman Group, a Baltic electronics retailer, already improved availability by 2.18 points, grew inventory turnover 16%, and cut inventory 11% with Relex. Now they're expanding that deployment to automate pricing and root cause detection across 42 stores and 10,000 SKUs. And our research backs up exactly why that matters. Human error in receiving and processing drives 56% of inventory accuracy problems, with supplier shipment discrepancies close behind at 53%. Automating root cause detection targets the 2 biggest failure points in the data. Then there's Amart Furniture, Australia's leading furniture retailer, ripping out legacy planning tools and spreadsheets in favor of Relex's AI-native forecasting across 66 stores and 4 distribution centers. IHL's research on mid-market retailers found that 78% are excited about AI demand forecasting. And it's not hard to see why. That excitement is a direct response to years of stockouts, overstocks, and margin erosion— the exact 3 things Amart is now solving for. None of what Sandman Group or Amart Furniture is doing is a pilot program. These are production deployments, live, right now, aimed squarely at the same problems our research keeps putting dollar figures on. The retailers closing the gap between what their systems report and what customers actually experience are the ones building the discipline first and buying the technology second. Lightning round. Let's move fast through the rest of the week in our lightning round. Where retail technology investments impact margins the most. The short version is, prioritize unified data and modern platforms before you fund the customer-facing AI. Demand forecasting, inventory optimization, dynamic pricing, and store automation move margin. Personalization moves revenue. They are not the same lever. Burger King UK deployed Opener across roughly 300 company-owned restaurants to bring product and pricing management into one place, centralizing across Oracle Symphony and 4th RME. The platform reportedly supported their World Cup pricing strategy just 8 weeks after kickoff. Officeworks became the first retailer globally to activate Snapchat's full advertising suite through the Zittra platform, running a Microsoft campaign with sponsored snaps and catalog-powered dynamic product ads. Walmart is 3D printing big box stores now. 5 store additions have used layered concrete composite walls built with Alquist's robotic printers. Cutting build time by a third and costs by 15%. Little Caesars partnered with Coco Robotics to roll out autonomous delivery robots in Los Angeles, Chicago, and Miami, fulfilling DoorDash and Uber Eats orders directly through their ordering system. Kimberly-Clark completed a global rollout of Cooper's AI-powered procurement platform, onboarding 90% of suppliers, and their AI manufacturing agent pilot delivered a 40 to 50% productivity improvement in knowledge search tasks. Amazon is planning to expand drone deliveries to nearly 500 US cities and towns by year-end, a sixfold increase from its current footprint. ShopRite is expanding Instacart's Caper Carts, the smart carts with built-in scanners and produce scales, to all 4 of its Staten Island stores. Henkel is deploying an agentic AI research tool called Ask Albert across its R&D operations for brands including Loctite and Pritt, using it to identify raw material alternatives and analyze experiments. Schreiber Foods is partnering with Ascendion to deploy Agentic AI across more than 40 sites on 5 continents, modernizing ERP and plant traceability so more than 10,000 employee partners can shift toward higher-value work. Walmart and Sam's Club are rolling out Google Pay Tap to Pay starting August 24th, Expanding to all US locations by year-end. And Kroger expanded its Fold Bitcoin gift card program nationwide after a successful seasonal pilot, letting shoppers gift and redeem Bitcoin without setting up a crypto wallet. So here's the question worth sitting with this week: if a customer walked into your highest-volume store right now, would what they find on the shelf match what your system says is there? For most of the industry, based on what we've just walked through, the honest answer is— not yet. That's it for this week's Retail Reality Check. There are more than 40 additional stories and a full library of free white papers waiting for you at ihlservices.com. Everything from this week's inventory distortion research to deep dives on shrink, pricing, and mid-market technology adoption. Thanks for listening, and we'll see you back here next week.