October is the month for scary stories, and retail had a chilling one (well, the opposite of chilling, actually). Hackers exploited connected refrigeration systems at hundreds of French supermarkets, showing how vulnerable aging retail technology can become. Elsewhere, Walmart is defending its electronic shelf labels while also teaching them a helpful new trick, Lowe’s is piloting drone delivery, and retailers in Mexico are taking a practical approach to AI. Add a new Kitestring case study on how one retailer cut its proposed point-of-sale (POS) costs in half, and you’ve got our October newsletter. Let’s get into it.

Freezer Burn

Hackers targeted refrigeration systems from Danish manufacturer Danfoss at hundreds of French supermarkets, including Intermarché, Netto, and Coopérative U locations. The attack started overnight on a Sunday and reportedly targeted older versions of Danfoss control software, forcing defrost cycles to run nonstop. Some units reached 50°C (122°F), destroying fresh and frozen food stock. Two supermarkets in Alsace alone reportedly lost €270,000 in stock, and nationwide damage could reach several million euros. Security researchers had flagged flaws in Danfoss controllers back in August, and a patch had been available since September 18, although investigators haven’t confirmed those flaws were the way in.

Jason Todd’s Take: See, I told you smart fridges were dangerous. More and more things are getting connected to the internet, and that’s not necessarily a bad thing. The problem is the mountain of tech debt we’re building along the way, with connected devices running outdated software, unpatched vulnerabilities, and systems nobody thinks about until something goes horribly wrong. Turning a fridge into an oven might be funny in a cartoon, but hundreds of supermarkets facing potentially millions in spoiled food crosses the line into tragic. Take care of your old tech, and don’t let your connected retail systems become tech debt time bombs.

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Don’t Shoot the Shelf Label

Walmart is pushing back, again, on claims that it uses technology to personalize prices, this time in an open letter to Groundwork Collaborative CEO Lindsay Owens. Her advocacy group had released a report on several Walmart patents. One of them, granted in 2023, covers remotely controlling electronic shelf labels (ESLs) and describes changing prices dynamically based on what’s in a shopper’s cart through scan-and-go. Walmart’s response boiled down to “a patent isn’t a plan.” The company says it doesn’t and won’t use ESLs to change prices based on a shopper’s cart, identity, or the time of day, and that it won’t use or renew the patent.

Expert POV from Tim Webb: Retailers are stuck in a lose-lose situation. We’ve seen retailers get fined when the price on the shelf doesn’t match the price rung up at the POS. ESLs solve this problem by keeping shelf and POS prices in sync, yet that same technology is now under suspicion. As an inventor and patent holder myself, I recognize that inventors file patents to protect intellectual property and anticipate where technology is going, and that doesn’t mean every possible use will become reality. We should encourage technology that improves pricing accuracy, so retailers can synchronize prices in near real time and enhance the customer experience.

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Same POS, Half the Price

In our latest case study, we share how Kitestring helped a fast-growing specialty retailer validate its next-generation POS strategy and cut its proposed POS costs in half. The retailer came to us with a preferred vendor, a multi-million-dollar proposal, and a limited window to replace its existing system. Our tailored POS selection study brought business and IT stakeholders together, added more vendors to the evaluation, and tested the preferred direction against the broader market. The result was a validated POS choice, organizational alignment, and a 50% reduction in proposed POS software and implementation costs.

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Garbage In, Garbage Checkout

An FMI report found that 68% of food retailers now use AI, up from 47% a year earlier. In this article, LS Retail offers five practical tips for making that investment pay off. They include building the technology foundation first, starting with the customer or business needs for AI, giving AI context about your products and stores, using it to help associates find answers faster, and keeping AI accountable as it scales. The biggest takeaway is clean data, because an AI assistant is only as accurate as the inventory and pricing behind it.

Our View: The lesson is that AI doesn’t cover up messy data. Say an AI assistant recommends a product the customer likes. At checkout, it’s out of stock or the price is different, because two systems never matched up. The moment that was supposed to build trust breaks it. The fix is to get one source of truth for inventory, pricing, and product data before you add AI on top. If you don’t, every AI project takes on every data problem you already have, just bigger.

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Blink and You’ll Find It

Walmart is rolling out a new feature called Shop to Light, where shoppers search for an item in the Walmart app, head to the right aisle, and make that product’s shelf label flash. Two matching tools help associates too: Pick to Light guides them to items for online pickup and delivery orders, and Stock to Light shows where restocked products belong. All three use a light already built into the labels, and customers have triggered 5 million flashes since the feature started piloting in a handful of stores this summer. Walmart plans to bring all three tools to every U.S. store by the holiday season.

Expert Opinion from Michael Leister: We’ve all been there, wandering up and down the aisles trying to find that one item that seems impossible to locate. Shop to Light might just be the shopping cheat code we didn’t know we needed, making trips faster and less frustrating while helping associates work more efficiently. While digital shelf labels are under fire over dynamic pricing fears, this is a good reminder that they’re also making a positive difference for customers and associates. What I really like is that Walmart is finding new ways to get more value out of technology already in the store, proving not every innovation needs to be a massive transformation.

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On the Ground

On the Ground is our firsthand look at the conferences we attend each month, written for retail leaders who couldn’t be there.

The National Association of Convenience Stores (NACS) Show 2026

By: Lindsay Schwab and Eugene Park

This year’s NACS Show was less about breakthroughs and more about maturity. Rather than new players or never-before-seen technology, the expo was full of stronger, more refined versions of the features and functionality showcased the year before, and for the Kitestring team, nothing wowed us the way it did in 2025. What stood out instead was integration, with checkout, payments, fuel, foodservice, and loyalty all increasingly connected, and AI showing up mostly as a feature inside existing platforms rather than as a product of its own. That’s a good sign for the industry, since it means vendors are focused on hardening what they’ve built and making it easier to deploy at scale, which is exactly what retailers need as they move from evaluating technology to executing on it.

On the Ground coverage is based solely on the firsthand notes and observations of Kitestring staff who attended these conferences. This content has not been reviewed or approved by conference organizers or presenting companies, and should not be taken as a comprehensive or official account of the events covered.

Drone Improvement

Lowe’s says it is the first home improvement retailer to offer drone delivery, with a pilot at its store in Matthews, N.C., that gets project essentials to do-it-yourself (DIY) and Pro customers in as little as 20 minutes. Customers order from a dedicated “Lowe’s by Drone” storefront in the DoorDash app, and Wing drones carry orders of up to about 2.5 pounds per flight. The list of eligible items focuses on easily forgotten basics like hand tools, paint products, tape, all-purpose cleaner, and batteries.

Kitestring’s POV: Drone delivery is becoming more and more available. Once customers get used to fast, convenient delivery from one store, they’ll start expecting it from others too. So, what will your customers expect next? And are your inventory and order systems ready to feed a marketplace like DoorDash? It’s another reminder of how important a modern, modular architecture and a clean data foundation really are.

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Nobody Asked for a Chatbot | Nadie pidió un chatbot

🇺🇸 AI is becoming a strategic capability for retailers in Mexico, according to coverage of Sensormatic Solutions’ Retail Forum 2026 in Mexico City, where more than 70 executives discussed turning data into decisions. Speakers described a shift from isolated digital tools to connected systems for replenishment, promotions, pricing, loss prevention, and predicting stockouts. They also pointed to infrastructure costs and data governance as the real hurdles. Shoppers are already ahead of the curve, as the Adyen Retail Report 2026 found that 42% of Mexican consumers use AI assistants when shopping, up from 15% a year earlier.

Vicente Yañez’s Hot Take: Retail in Mexico is shifting toward AI-led and agentic processes, and while that may not sound like news given what’s happening in the U.S., how it happened is worth a closer look. Demand grew organically, with shoppers choosing publicly available AI on their own and then asking for convenience and efficiency features, instead of being force-fed chatbots and AI features everywhere for the sake of it. Retailers focused their AI on logistics, delivery, and forecasting, letting the right use cases reveal themselves rather than swinging the metaphorical AI hammer at everything. The result is a market making conscious choices about where AI makes sense.

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🇲🇽 La inteligencia artificial (IA) se está convirtiendo en una capacidad estratégica para los retailers en México, según la cobertura del Retail Forum 2026 de Sensormatic Solutions en la Ciudad de México, donde más de 70 ejecutivos hablaron sobre cómo convertir los datos en decisiones. Los ponentes describieron un cambio de herramientas digitales aisladas hacia sistemas conectados para reabastecimiento, promociones, precios, prevención de pérdidas y predicción de faltantes de inventario. También señalaron los costos de infraestructura y la gobernanza de datos como los verdaderos obstáculos. Los consumidores ya van un paso adelante, pues el Adyen Retail Report 2026 encontró que el 42% de los consumidores mexicanos usa asistentes de IA al comprar, frente al 15% del año anterior.

La opinión de Vicente: El comercio minorista en México se ha estado enfocando en la IA y en procesos con agentes, y aunque quizá no suene como algo nuevo considerando lo que pasa en Estados Unidos, vale la pena ver con más detalle cómo ha ocurrido. La necesidad por IA creció orgánicamente, con personas que comenzaron a usar IAs de acceso público como parte de sus hábitos de compra y después pidieron funciones basadas en conveniencia y eficiencia, en lugar de ser forzadas a usar chatbots y funciones de IA en todos lados. Los retailers, por su parte, se enfocaron en traer inteligencia y automatización a sus sistemas de logística, entrega y predicción, permitiendo que el nicho de la IA se presentara por sí mismo en lugar de usar el martillo metafórico de IA para tratar de clavarlo todo. El resultado es un mercado que toma decisiones conscientes sobre dónde tiene sentido usar la IA.

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Thanks for Reading!

The scariest thing in retail is neglected technology. A refrigeration-system cyberattack left French supermarkets facing potentially millions in losses, messy data can turn a helpful AI recommendation into a broken promise, and outdated systems that can’t integrate will keep you grounded while competitors take off with drone delivery. The good news is that the fixes aren’t flashy. Keep your systems current, your data clean, and your architecture flexible enough for whatever customers expect next. We’ll be back in November with more.

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