Shelf and stock monitoring
A camera view flags an empty facing and messages the right aisle manager. From there they send a merchandiser, message the manager or mark it done. Low-stock alerts are listed by store and product, with planogram checks.
Demo build on sample data
Finding the empty shelf before the next walk-around
In-store cameras plus sales and stock data, so a gap on the shelf goes straight to the person who can fill it.
This is a demo build. It runs on sample data. We keep the chain's name private.
At a glance
Demo build, sample data
- Business
- Multi-store grocery chain
- What we built
- Shelf and stock monitoring
- Replenishment
- Fresh, commercial and store operations
The problem
In grocery, the most expensive thing in the store is an empty shelf. A shopper reaches for water or milk, finds a gap and buys something else, or leaves. In most chains that gap is found on the next walk-around, often hours later.
Fresh has the opposite problem. Order too much and it spoils. Then there are promotions that lose money, shrink at self-checkout, long queues at the busy hour and rotas that don't match foot traffic. A chain with dozens of stores feels all of it every day.
What we built
Replenishment
It predicts what will sell out today from sales pace and stock on hand, then queues reorders or same-day transfers between nearby stores.
Fresh, commercial and store operations
Modules around the shelf: fresh and waste, pricing, loyalty, loss prevention, queues, staffing and energy.
What's in it
- Store command center with shelf availability, fresh waste and time from alert to refill across every store.
- Lost-sales simulator: change refill time, stores with gaps and foot traffic to see what empty shelves cost.
- Fresh and waste: shelf life tracking, timed markdowns before close and next-day fresh orders adjusted.
- Pricing and promotions: which deals lift sales, which to cut, and pricing on fresh.
- Customer and loyalty: basket size, repeat rate and win-back offers by store.
- Demand signals: app searches and reviews that show what shoppers look for and can't find.
- Loss prevention: the same cameras flag self-checkout mismatches, till patterns and odd returns, with a clip to review.
- Checkout and queues: an alert to open more tills before the line builds.
- Staffing: rotas matched to hourly foot traffic.
- Energy: chiller schedules, door-left-open alerts and early fault warnings.
What it would take to go live
How the stores run. The point-of-sale and stock systems, existing cameras, who refills what and how fresh is ordered.
One or two pilot stores. We connect sales and inventory, point shelf detection at a few aisles and set up alert routing.
A first version in about 10 days, then the rollout store by store.
The chain owns its data and the system.
See also AI for retail, franchise and F&B and camera analytics.
Keep reading
- AI for retail and F&BShelves, stock, fresh, promotions and store operations across locations.
- TrixLink camera analyticsCar counts, bay time and service checks on cameras you already have.
- Demo: supply chain command center for a dairy and food makerDemand forecasts, feed costs, plants, cold chain exceptions, shelf availability and quality.
- Executive dashboardEvery store on one screen, with operational reports by group.
Run grocery stores?
Book a call and we'll show you the demo, from a shelf alert to a refill.