
On-premise voice AI
The system that answers slot bookings, driver check-ins and order-status calls.
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Inside the warehouse, where the exceptions pile up
Checks on the pick, stock reconstructed instead of adjusted, returns graded by your own rules.
Freight in motion (the vehicle, the route, the border) is a different page: Logistics →
The wrong item leaves the building and the customer tells us.
Operations managerThe system says the stock is there. The shelf says it is not.
Inventory controllerReturns pile up in a corner while new orders wait for the space.
Returns leadThe invoice comes back short and nobody can find the proof.
Finance lead
The packer sees a flag before the item is packed, and every catch is recorded.
The system says which move was not scanned and where to count.
Your grading rules are applied consistently, and anything uncertain goes to a person.
A check on every pick compares what was scanned against what the order asked for, and stops the wrong one before it is packed.
The packer decides on the flag. The system never overrides a person.
The system reconstructs what happened: which move was not scanned, which return was never put back, and where to count.
Your controller approves every adjustment. Nothing changes stock on its own.
Most returns need your rule applied consistently, not a decision. The system reads the reason and condition, applies your grading rules, and routes the item.
Anything uncertain, and anything suspicious, goes to a person.
We check every shipment against your customer's rules before it leaves: label, carton build, notice, delivery window. What would earn a deduction is held.
Your finance team approves the dispute; the system only does the paperwork.
Illustrative example. Nothing here is a measured result.
| What we watch | How it is measured | Baseline |
|---|---|---|
| Order picking accuracy | Lines shipped without error, classified by picker, zone and step. | The classification matters more than the headline. |
| Inventory record accuracy | Absolute variance over system count, at location level. | Location level is what actually breaks picks. |
| Dock-to-stock time | Gate arrival to the moment stock can be allocated. | Long dock-to-stock creates stockouts with goods in the building. |
| Return-to-sellable cycle time | Return arrival to the unit being sellable, from the ledger. | Usually unmeasured; the corner is the measurement. |
| Deduction exposure and dispute recovery | Deduction lines raised, and value recovered with an evidence pack. | Finance reconciles a sample, late, without the proof. |
One boundary is fixed and not negotiable: we do not build worker monitoring. Cameras look at freight, not at people.
No. It reconstructs what happened and tells your controller where to count. Every adjustment is approved by a person, and the reconstruction is kept so the cause can be found again.
No. Cameras look at freight, the pallet, the label, the carton, never at people, and we will not build worker monitoring. If a question can only be answered by watching a person, we leave it alone.
No. We build the missing piece around what you already have. The spreadsheets exist because the system does not match how you work, and that gap is what we close.

Send us one week of receiving and pick data and we will tell you where the exceptions are.
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