A mesh network of hubs and merchandise tags that delivers real-time, SKU-level visibility across the sales floor, backroom, fitting rooms, and beyond — the data layer e-commerce has had for twenty years, finally built for physical stores.
E-commerce has had perfect item-level visibility since the early 2000s. In physical retail, that data has never existed at scale — leaving operations, merchandising, and asset protection teams making decisions from cycle counts, surveillance footage, and guesswork.
Most stores still cannot identify root cause by SKU, zone, or time of day when the number lands on their P&L.
20–30% of in-store inventory sits in the backroom at any given moment. Most stores have no real-time visibility into what's there or how long it's been there.
Fitting rooms are among the highest-shrink zones in apparel retail — and the lowest-monitored for item-level activity.
When shrink is discovered, most retailers cannot answer which SKU, which shift, which zone, which exit. Cameras show people, not items.
Purpose-built for retail deployment. The system installs in hours without construction or IT dependencies, and uses machine learning to continuously map your store's zones — so movement, dwell, and incident data are always spatially accurate.
Patented BLE-mesh hubs mount discreetly around the store in hours. No construction. No IT ticket. Machine learning auto-maps your store's zones, so movement and dwell data are always spatially accurate as your floor plan evolves.
Small, battery-powered BLE tags attach to merchandise — apparel, accessories, or any high-value item. Tags report location continuously as merchandise moves between the floor, backroom, and fitting rooms.
For the highest-shrink SKUs, GPS-enabled tags extend visibility past the door. Know exactly where merchandise went after it left the building — and recover it.
Real-time, zone-aware data surfaced across Operations, Merchandising, and Asset Protection views — with a unified incident workflow that ties detection to resolution.
Real-time floor/backroom split with dwell time and displacement alerts — so stock moves when customers are actually reaching for it, not at the next cycle count.
Try-on rates, handling frequency, zone dwell, and displacement patterns — signals that reveal what's considered but not bought, and where adjacency decisions are leaking conversion.
Incident patterns by type, location, and shift. Investigations now start with facts about items, not hours of footage about people.
From the moment a high-value item leaves its zone at 2:14 p.m. to the moment a case closes, every step is one system and one record.
Most retailers have tried to solve inventory visibility with tools that weren't designed for it. Here's how StockOS compares against the adjacent approaches in market.
| Capability | StockOS | Fixed-reader RFID | LP camera systems | EAS & EPC |
|---|---|---|---|---|
| Real-time item location in-store | ||||
| Backroom & fitting-room coverage | ||||
| No fixed reader infrastructure required | ||||
| ML-based auto zone mapping | ||||
| GPS recovery outside the store | ||||
| Deploys in hours, no construction | ||||
| Merchandising intelligence | ||||
| SKU-level incident forensics |
Comparison reflects category-typical deployments. Individual vendor implementations vary.
You're accountable for what's on the floor, but you're working from cycle counts and gut feel. StockOS tells you exactly what's out, what's stuck in the back, and how long — continuously, not once a shift.
You know what sells. You don't know how shoppers handle product before they decide not to buy. StockOS surfaces try-on rates, handling frequency, zone dwell, and displacement — data to inform placement, adjacency, and assortment.
You can see people on camera. You can't see which SKU walked out and when. StockOS delivers item-level forensics: which items, which zones, which time windows, which exit — so cases start with facts.
StockOS is currently running active pilots with national retail operators across apparel and specialty retail. Our patented mesh network technology has been developed and validated over multiple years of in-store testing.
If you're evaluating new approaches to inventory visibility or shrink reduction, we welcome a conversation while pilot capacity remains available.
We tailor every conversation to your retail footprint, priorities, and team structure — no generic walkthrough. A specific discussion about what StockOS can show your Operations, Merchandising, and Asset Protection teams.
Share a few details about your team and what you're evaluating. We'll follow up with the most relevant next step based on your store environment, organizational owner, and current visibility gaps.
Prefer email? hello@stockos.co.
