What GLP-1s Are Telling Retailers About Their Tech Stack

Nearly 1 in 8 U.S. adults now report using GLP-1 drugs (Forbes). And it’s showing up in transaction data. Grocery baskets are shrinking, once-reliable categories are losing velocity, and apparel return rates are climbing fast.

The Wall Street Journal ran a piece on how GLP-1 users are overwhelming retailers with returns as they size down their wardrobes. Grocery Dive covered how grocers are overhauling their health and wellness strategies to cater to this customer. Progressive Grocer even cited GLP-1s as a contributing factor in Costco’s strongest quarter in years.

This isn’t a fringe trend. It’s a stress test for your retail tech stack, and whether you pass it depends on whether your systems can flex.

What GLP-1 Users Are Actually Doing In Your Store

Before we get into the tech implications, it’s worth grounding the conversation in what’s actually happening at the shelf and the register.

Grocery and Convenience

GLP-1 users aren’t just eating less, they’re eating differently. According to Acosta Group, these shoppers are buying more fresh produce (55%), yogurt (32%), fresh chicken (31%), protein shakes and powders (30%), and protein bars (29%). At the same time, they’re pulling back hard on sweets (58% fewer purchases), salty snacks (44%), and sugary drinks (41%).

The behavioral shift extends beyond category preference. A Cornell University report found that appetite-suppressing GLP-1 medications are driving a 5.3% to 8% drop in spending per grocery trip. Smaller baskets, more frequent trips, and a completely different product mix than the customer you were serving two years ago.

The Acosta data also shows that GLP-1 consumers, particularly Gen Z and Millennials, are gravitating toward high-protein, high-fiber, hydration and electrolyte, and gut health products. These aren’t just niche wellness categories anymore. They’re becoming the center of the basket.

Apparel

According to a Circana survey, 80% of GLP-1 users anticipate needing new clothing due to size changes, and 55% of active users have already purchased new clothing or footwear. One in 4 updated their wardrobe simply to refresh their appearance.

Equity research firm Bernstein estimated that if GLP-1 users drop roughly three sizes and buy five to eight items per size dropped, that translates to between 150 million and 700 million apparel items purchased this year, a roughly 1% to 4% boost to total unit volume of clothing sold in the U.S. That could mean as much as $13 billion in additional apparel spending annually.

The flip side: those same shoppers are returning more. As the Wall Street Journal reported, return rates are climbing as customers size down and work through the trial and error of rebuilding their wardrobes. For retailers without tight POS-to-inventory-to-returns workflows, that’s a compounding cost problem.

The Operations and Friction Problem

Most retail systems, promotional engines, inventory logic, self-checkout flows, and loyalty incentive structures were designed around a different customer. One who buys in bulk. One whose basket reliably includes snacks and beverages. One who makes one big weekly trip instead of several smaller ones.

GLP-1 users are breaking every one of those assumptions.

Promotional engines built around snack and beverage velocity are now firing discounts at customers who don’t buy those categories anymore. This is more than a minor inefficiency, it’s wasted spend on a growing segment of your customer base. If your promo logic can’t be reconfigured without a vendor engagement and a multi-month implementation, you’re going to keep misfiring.

Self-checkout flows and express lane thresholds were built for a different average basket. More frequent small-basket trips change throughput dynamics. If your system configuration can’t adapt to that, you’re creating friction at the exact moment a customer is becoming a regular.

Inventory and reorder logic tied to historical category velocity will start lagging as GLP-1 adoption grows. The categories gaining momentum (protein, fresh, functional) need to be replenished faster. The ones losing momentum need to be right-sized. If your POS and inventory systems aren’t sharing data in real time, you’ll be reacting to these shifts weeks after your shelves already told you about them.

The core question for any tech decision maker is this: how long does it take your team to make a meaningful change to your system configuration? If the honest answer is months, that’s the problem, regardless of what’s driving the shift.

The Loyalty Opportunity

Now flip it.

For retailers with modern, integrated architecture, the GLP-1 moment is actually a window. These shoppers are in the middle of rebuilding their habits from the ground up. That makes them unusually open to guidance, to new products, to retailers who seem to understand what they’re looking for.

A POS-connected loyalty program that’s reading basket composition in real time can spot behavioral pattern changes without ever needing to know the reason behind it. When a customer starts dropping soda and chips and picking up protein bars and Greek yogurt, that signal is available at the point of sale. A well-integrated loyalty engine can respond by surfacing a relevant offer, introducing a new product in the category, and rewarding the behavior you want to reinforce.

The inverse is also true. Surfacing a buy-one-get-one on candy bars to someone who has spent the last six weeks consistently buying protein and produce signals that the retailer isn’t paying attention. For a customer who is actively trying to change their habits, that kind of tone-deaf promotion can erode trust.

The difference between those two outcomes comes down to data connectivity. This isn’t complicated in theory, but in practice it requires your POS and loyalty systems to actually talk to each other in real time. Not a nightly batch sync. Not a manual export. A live data connection that lets your loyalty logic act on what’s happening in the transaction.

The retailers who build that capability now and use it to meet GLP-1 users where they are, will earn long-term loyalty from a customer segment that skews higher income and is actively investing in a new version of their lifestyle. That’s a valuable customer to win.

Your loyalty program is only as smart as your POS integration allows it to be.

GLP-1s Might Fade. The Need to Flex Won’t.

The thing about GLP-1s is that nobody knows exactly where this goes. Adoption could plateau. A new drug class could shift the behavior pattern again. The category gainers of today could look different in three years.

But that uncertainty is exactly the point.

GLP-1s are the current example of a familiar pattern: a consumer behavior shift, driven by a drug, a trend, a health movement, an economic event, exposes how rigid or how agile a retailer’s tech stack really is. The retailers who struggled to respond to COVID-driven demand shifts, or to the move toward e-commerce, or to the rise of private label during inflationary periods, largely struggled because their systems weren’t built to flex.

You shouldn’t build your systems around GLP-1 users specifically. But you should consider whether your systems can respond to any meaningful customer shift without requiring a major overhaul.

Modern POS architecture means open integrations that let you connect new tools without starting from scratch. It means real-time data flow between your POS, loyalty program, and inventory systems so you can act on signals quickly. It means configurable promotional logic that your team can actually adjust, without waiting on a vendor’s timetable. It means the ability to move when the market moves, not six months after it already moved.

GLP-1s are a useful forcing function for having that conversation internally. If your current stack couldn’t respond to the shifts described in this article, it’s worth asking what it would take to change that, and whether waiting is actually an option.

That’s where Kitestring comes in. We help retailers assess their current POS and in-store systems, identify gaps, and map out a path toward more flexible, integrated architecture. If you want an honest read on where you stand, we’re a good place to start.