Per-unit tags read continuously by ceiling and shelf-edge readers. Position resolved on the twin.
Every SKU, located in real time.
A demonstration of TwinMs applied to a retail floor. Every merchandise unit tagged with RFID, every shelf and aisle modelled in the digital twin, every movement reflected on the operator screen as it happens — with sound, so you hear the walkthrough.
Specifications.
- Status
- Demo scenario
- Identification
- Per-SKU RFID tags
- Read coverage
- Ceiling + shelf-edge readers
- Floor model
- BIM-derived 3D twin
- Reconciliation
- POS-to-tag, real-time
- Mobile platforms
- iOS · Android
- Render engine
- Unreal Engine + LiDAR
- Use cases shown
- Shrink · Restock · Layout analytics
What this scenario shows
- Scene 02.1The floor in 3DA 3D twin of the floor — every shelf, fixture, and aisle modelled from the as-built drawings.
- Scene 02.2The tag movesRFID-tagged stock visible on the twin in real time. Move a unit, the twin moves with it.
- Scene 02.3The alert firesShrink alerts firing the moment an item leaves the floor without a transaction at the POS.
- Scene 02.4The shelf restocksRestock automation when stock-per-shelf drops below threshold — with the staff app picking it up immediately.
How TwinMs applies
Sale events from the POS reconcile against tag departures. Mismatch = shrink alert.
Restock and pick instructions on a mobile UI, with the location plotted on the twin.
Stock-on-floor density, dwell time per category, customer flow heatmaps over the floor.
Business value
Zero shrink unaccounted for — every loss has a time, a tag, and a place.
Restock cycles cut from hours to minutes through the staff app.
Live stock-on-floor visibility for every promotion, launch, and audit.
Customer-flow heatmaps that inform store-layout decisions, fixture by fixture.
A single source of truth across stockroom, sales floor, and POS.
