As the first wearable AI technology designed specifically for frontline retail workers, Augmodo brings real-time spatial intelligence directly to the store floor to ensure shelves stay fully stocked.
After driving 100 miles across Seattle during the 2022 supply chain shortages searching for baby formula — and continually arriving at empty shelves that inventory systems claimed were fully stocked — Ross Finman realized physical retail had a huge data blind spot. While software was rapidly transforming digital knowledge work, the physical workforce was being left behind. That frustration led Finman to start Augmodo.
“Retail is going to be the most disrupted industry by physical AI,” he says. “We’re working for the 80% of people who aren’t behind a screen by giving every associate an AI assistant on Day 1.”
Fixing Retail’s Fresh Produce Blind Spot
Every retailer runs on sophisticated perpetual inventory software — databases that track trucks arriving at loading docks, point-of-sale registers scanning barcodes at checkout and e-commerce platforms accepting online orders. On paper, the system knows exactly what is in the store.
In reality, anyone who has ever walked into the fresh produce department looking for ripe avocados, only to find an empty display bin, knows the data is often wrong.
Unpackaged, fast-moving items like fruits and vegetables don’t fit neatly into traditional inventory management. When stock runs low, the system rarely reflects it in real time. Instead, stores rely on manual inventory counts, periodic walkthroughs by busy store managers or customer complaints. Meanwhile, in-store e-commerce pickers fulfill online orders by walking the aisles, only to find that the items promised to online shoppers aren’t physically on the shelf.
Passive Intelligence Built for the Store Floor
To fix the shelf gap problem, Augmodo isn’t building bulky, expensive floor-scanning robots or installing thousands of overhead fixed cameras. Instead, the company is bringing spatial intelligence directly to workers through wearable technology via the Augmodo Smartbadge.
Designed to replace standard employee name tags, the Smartbadge is an all-in-one ID, walkie-talkie and AI assistant built to fit seamlessly into an associate’s daily shift, according to the company. Outfitted with dual 4K cameras and processing capabilities that execute privacy filtering directly on-device, the badge passively captures the physical state of the store while workers perform their normal duties.
“You can’t put RFID tags on every apple or avocado,” Finman says. “With dual 4K cameras on a smart badge, anything a human eye can pick up walking down the aisle — like recognizing stock levels or product types — our system captures passively without adding a single task to the staff’s day.”
The produce aisle is where this hands-free approach pays off immediately. Fresh produce is the most popular, highest-traffic area of any grocery store, but it is also the most dynamic. Bins can go from fully heaped to completely bare in an hour during peak shopping windows. Because e-commerce pickers, produce managers and restockers walk these high-velocity aisles dozens of times a day, the Smartbadge passively captures dozens of visual updates without changing worker routines.
“Turns out, directly correlated with the velocity of the products, people walk around the produce section very frequently,” Finman says. “You already have people walking around the store. Put a smart badge on them, don’t change anything and you get hourly scans with no real capex involvement.”
These visual data points allow Augmodo’s computer vision models to track inventory conditions continuously, creating what Finman calls “Google Street View for shelves.” If a store associate walks past the avocados on their way to fulfill an order, the badge captures the display condition in the background, updating the store’s live spatial map in real time.
For grocery operators, this real-time visibility tackles a costly problem. According to Augmodo, pilot store data shows that a missing item costs retailers an average of $4.31 per item per day, with typical shelf gap rates hovering around 6%. Continuous passive scanning cuts those gap rates by 30% or more, the company says. Instead of regional managers traveling to store locations to conduct physical audits, corporate teams and store leads can view exact shelf conditions remotely from a laptop via Augmodo’s SpatialView interface.
Beyond raw bottom-line recovery, the technology transforms the day-to-day experience for both workers and shoppers. By providing instant contextual information, the wearable effectively adds the equivalent of two years of operational experience to every store associate on Day 1, the company says. Workers spend less time hunting for misplaced items or conducting manual stock counts, freeing up time to assist customers on the floor.
