AiESL turns the status of every connected label, your POS and inventory data and, where installed, cameras and sensors into one view of shelf health — then routes the fixes to store teams with pick-to-light labels.
A label that failed to update, or a price that changed in the POS but not on the shelf, is only found when a shopper complains at the till.
Empty facings and low stock are discovered by walking the aisles, often after sales are already lost.
Thousands of labels, gateways and batteries — and no single view of which ones are offline, failing or running low.
AiESL shelf monitoring combines device status from every connected label, data from your POS and inventory systems, and — where installed — cameras and sensors, to spot price mismatches, stock gaps and planogram drift and turn them into store tasks.
| What is detected | Where the signal comes from | What happens next |
|---|---|---|
| Labels showing the wrong price | Update status reported for every label through the middleware, checked against the POS price | An alert and a store task |
| Offline labels, failed updates, low batteries | Device-layer status monitoring across all connected brands and gateways | Fleet health dashboard; firmware upgrades pushed centrally |
| Stock gaps and low stock | Stock levels from ERP / WMS; vision sensors where installed | Replenishment task; pick-to-light guides the picker |
| Planogram drift | Cameras or vision sensors where installed | Correction task with the location and product |
| Store traffic | AiESL Flow Camera footfall analytics | Staffing and promotion timing |
Electronic labels alone cannot see the shelf. For merchandising and planogram compliance, the published evidence is for camera-based systems, not labels — see what the evidence supports.
Programmable LED labels turn monitoring into guided work: the same console that finds a gap lights the path to fix it.
| Capability | How it works | Where it helps most |
|---|---|---|
| Pick-to-light | LED-equipped labels flash on the bins or facings in a pick or replenishment route; staff follow the lights and confirm. | Warehouses, dark stores, click-and-collect picking |
| Task routing | Alerts become tasks assigned to a store or team, with product and location. | Multi-store chains with central operations |
| Live location data | Bin and shelf labels update from the WMS when stock moves, so the location on the label is always current. | Stockrooms and distribution centres |
More on warehouse and DC operations and electronic labels for parts bins.
| Device | What it adds | Privacy |
|---|---|---|
| AiESL Flow Camera | Footfall analytics with 98%+ counting accuracy, in real time | GDPR-compliant, with anonymisation on the device |
| Vision sensors | Shelf images for gap and planogram detection where installed | Depends on configuration — assess per deployment |
| Positioning (AoA, UWB, BLE) | Where products, carts or staff are in the store | Depends on technology; compared in our indoor positioning guide |
Because the open middleware sits above the radio layer, new sensor types — including millimetre-wave radar — can be added to the same console without rebuilding integrations. Which positioning technology fits which job is compared in retail indoor positioning: AoA, UWB, RFID and BLE.
Connect existing labels through the middleware and get price-mismatch and device alerts on day one — no new hardware.
Feed stock levels from ERP / WMS to turn gaps into replenishment tasks and pick-to-light routes.
Install cameras or sensors only in the aisles where gaps and compliance cost the most.
Talk to a solution engineer about your stores and systems — no sales script.
Talk to an engineerShelf monitoring means continuously checking that every shelf shows the right price, the right product and enough stock, instead of finding problems by walking the aisles. It combines label status, store-system data and, where installed, cameras or sensors, and turns problems into tasks.
No. A label knows what it displays, not what is on the shelf. Out-of-stocks are detected from inventory data or from cameras and sensors; the labels then help fix them, for example by lighting the pick or replenishment route.
Every connected label reports its update status through the middleware. The platform checks what each label should show against the POS price and raises an alert and a store task when a label does not match.
The AiESL Flow Camera is designed for GDPR compliance with anonymisation on the device, and it reports counts and traffic in real time with 98%+ accuracy. Your own data-protection assessment still applies to every deployment.
No. Label fleet health and price-mismatch alerts work from day one with the labels you connect. Add inventory data next, and cameras or sensors only in aisles where gaps and compliance problems are costly.
Yes, for brands connected through the AiESL open middleware, which supports 5+ label-brand integrations and monitors their status from one console.
Connect the labels you already have and get price-mismatch and fleet alerts from day one.
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