Latest / Franchise Conversations with Fexingo: Buying, Running, and Scaling Franchise Businesses / How Franchisees Use AI-Driven Inventory Management
Transcript
- Lucas: So a 15-unit fast-casual franchise in the Midwest — let's call it a burrito chain — recently cut its food waste by 30 percent in six months. Not by changing recipes or portion sizes. By letting an AI decide how much chicken to order each week. Luna: Wait — the AI is actually placing the orders, or just recommending? Lucas: In this case, the system — it's from a company called Shelf Engine — actually places the orders within parameters the franchisee sets. The manager reviews a dashboard every morning, but the system handles the routine decisions. And the results were pretty striking: spoilage dropped nearly a third, and in-stock rates on high-margin items like guacamole went up to 98 percent. Luna: That's huge. Guacamole's a classic traffic driver — you run out of that on a Saturday, you're losing sales and irritating customers. Lucas: Exactly. And the old way — manual ordering based on the manager's gut — it's incredibly variable. One study from the National Restaurant Association found that the average quick-service restaurant wastes between 5 and 10 percent of the food it buys. For a franchisee with multiple units, that's thousands of dollars a year per location going straight into the trash. Luna: So how does the AI actually work? Is it just looking at past sales data, or is it smarter than that? Lucas: It's layered. Shelf Engine's system ingests point of sale data, but also local factors — weather forecasts, school holidays, even the schedule of a nearby factory that might have shift changes. The algorithm learns patterns like: when it snows on a Tuesday, burrito bowl sales drop 15 percent, but nacho sales go up. Then it adjusts the order accordingly. The franchise owner told me that the first week they ran it, they ordered 40 percent less shredded cheese than usual — and didn't run out once. Luna: And I imagine that also saves on labor — because the manager isn't spending two hours every morning counting cases of tomatoes. Lucas: Right. The time savings is a secondary benefit. The franchisee estimated that the AI freed up about 10 hours a week per store, which they redirected to coaching staff and improving customer experience. But the primary ROI is inventory cost reduction. They're seeing about a 4 percent improvement in gross margin on food costs — on a million-dollar-a-year store, that's forty thousand dollars straight to the bottom line. Luna: And these aren't massive corporate chains with deep pockets. This is a franchisee with 15 units — maybe 30 to 50 million in revenue. So the tech is accessible. Lucas: That's the interesting part. Shelf Engine charges a subscription fee based on the number of locations and the complexity of the menu. For this franchisee, it worked out to about $500 per store per month. So they're paying six grand a year per location, but saving forty grand in reduced waste and better purchasing. That's a six-to-one return inside a year. Luna: Six to one. That's better than most marketing campaigns. And the kicker is that the system gets smarter over time — the more data it collects, the more accurate its forecasts. Lucas: Precisely. And that's the real competitive advantage. A franchisee who starts using this today has a year's worth of data before their competitor even considers it. By 2027, I think we'll see this become table stakes for multi-unit franchisees, especially in food. But there are also versions for retail and service franchises — anything with inventory that spoils or goes out of style. Luna: I've heard of a large automotive franchise — a chain of oil-change shops — using a similar system to manage oil and filter inventory. They cut stockouts by 90 percent. Lucas: That makes perfect sense. The logic is the same: predict demand, optimize supply, reduce waste. It's not as sexy as a new menu item or a marketing campaign, but it directly impacts cash flow. And for franchisees who are borrowing money at today's rates — which are still elevated compared to a few years ago — any improvement in working capital efficiency is huge. Luna: Let's talk about the barriers. Why isn't every franchisee doing this already? Lucas: I think there are two main hurdles. First, data integration. Many franchisees still use legacy point of sale systems that don't easily connect to cloud-based AI tools. You need a modern POS that can push data in real time. The second is trust — handing over ordering decisions to a black box feels risky. One of the franchisees I spoke to said it took them about three months to fully trust the system. They'd override its recommendations at first. But after they saw the results, they stopped second-guessing. Luna: So the technology works, but the adoption curve is human. Which actually brings up a good point — this is exactly the kind of conversation that makes our show useful. If today's episode helped you think differently about your own operations, I just want to mention that the reason we can keep these conversations ad-free and focused is listener support. If you've gotten value from Franchise Conversations, you can help keep it going at buy me a coffee dot com slash fexingo. Lucas: Yeah, that's a small gesture that makes a big difference for us. It means we can keep diving into specific, practical topics like this without any sponsor constraints. Luna: Exactly. And now back to inventory AI — I want to talk about the hidden costs of not adopting this tech. Because it's not just about the waste you see. Lucas: That's a great point. There's also the opportunity cost of capital tied up in excess inventory. If you're carrying 20 percent more inventory than you need, that's cash sitting on shelves that could be used for remodeling, equipment upgrades, or opening a new unit. Multiply that across 15 stores, and it's a significant drag on growth. Luna: And there's the soft cost of manager burnout. If your general managers are spending two hours a day ordering, that's time they're not spending training staff or improving service. High turnover in franchise restaurants is often linked to manager overload. Lucas: Absolutely. So the AI isn't just a cost-saving tool — it's a talent retention tool. One franchisee told me that after implementing the system, their store manager turnover dropped noticeably. Because the managers felt less stressed and more focused on the parts of the job they actually enjoy. Luna: I want to zoom out for a second. ai driven inventory management is still relatively new in the franchise world. Where do you see this going over the next two to three years? Lucas: I think we'll see integration with other systems — like dynamic pricing and labor scheduling. Imagine an AI that not only orders the right amount of chicken but also suggests a lunch special to move surplus before it spoils, and schedules an extra cook because it knows Friday will be busy. That's the holy grail: a unified operations platform. Luna: And that's already being built. Some of the larger franchise groups are investing in custom solutions. But for the average franchisee with three to five stores, the off-the-shelf products like Shelf Engine or Blue Yonder are becoming more affordable every year. Lucas: Right. And the key takeaway for me is this: the competitive gap between franchisees who adopt this technology and those who don't is going to widen quickly. If you're a franchisee and you haven't looked at AI for inventory, 2026 might be the year to start the conversation — because by 2027, it might not be optional. Luna: Great advice. And on that note, thanks for joining us on Franchise Conversations. Lucas: We'll be back next time with another deep dive into what's actually working for franchise owners.