Atlas Warehouse
Every crate. Every shelf. Every invoice line.
Atlas turns warehouse cameras into a live digital twin. Ingredient positions update as pallets move, and invoice lines reconcile against what the cameras actually see.
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Local vision analysis
Cameras do not just record — they understand.
Edge models classify pallets, labels, and motion. Structured events flow into Atlas — not raw video streams.
Faces blurred · staff attributed by badge / shift, not biometrics
Ingredient map
Every ingredient has a place.
On the digital twin map: quantity, last movement, and menu/stock context in one panel.
Invoice tracking
What the supplier said.
e-Invoice, PDF, or ERP lines are parsed; each line becomes a reconcilable record in Atlas.
Match engine
Missing, extra, or perfect.
Invoice line ↔ camera twin ↔ expected PO. Finance and warehouse share the same exception list.
Placement audit
Who placed what, where.
A placement event links to shift badge or station login. Clear audit trail — not a surveillance product.
Roadmap
We are actually building this.
In early pilots, camera events, ingredient maps, and invoice matching are maturing together.
Live camera events
Edge classification
Digital twin map
Zone + quantity
Invoice matching
Missing / extra
Operations dashboard
Finance + warehouse
Let’s map your warehouse twin.
Pilot access, camera layout, and your invoice flow — in one walkthrough.
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