AI across the chain
Order → warehouse → re-slot → delivery → agents
AI is part of our DNA
This is not a marketing module. At Silodisa, intelligence runs from the moment an order lands until the delivery closes — and virtual agents handle the admin no human should still be copy-pasting.
- 01Orders
- 02Warehouse
- 03Re-slot
- 04Delivery
- 05Agents
01
Receive the order
The order does not land in a mailbox. It enters a brain: it is validated, prioritized, and turned into floor and route work before anyone prints a sheet.
What AI decides
- Prioritizes orders by appointment, OTIF, and real dock capacity — not by who shouted loudest.
- Flags gaps: SKU without stock, impossible window, customer with a door penalty.
- Builds the work wave WMS and TMS will execute — not a parallel spreadsheet.
What the team does
- Customer exceptions and commercial deals the rule does not cover.
- Release a blocked order when there is evidence, not habit.
02
Store with a rule, not a guess
Every pallet has a location, not a “leave it there.” Receiving, putaway, and slotting live in the WMS: the inventory you see is the inventory that exists.
What AI decides
- Suggests a location from rotation, FEFO expiry, and rack topology.
- Crosses what just arrived with what the order already committed.
- Alerts if sensitive product (cold, pharma) is headed to the wrong zone.
What the team does
- Confirm dock receipt and physical exceptions (damage, shortage).
- Execute putaway on a terminal — AI proposes, the floor confirms.
03
Re-order the warehouse
A warehouse that is never re-slotted becomes a maze. Smart Putaway 3D reads history, paints heat maps, and proposes moving hot SKUs next to the dock.
What AI decides
- ABC ranking and per-SKU scores: what must live in the hot zone.
- Picking heat maps and re-slotting recommendations with explicit ROI.
- Fewer walking meters without renting more space: the layout works, not the operator.
What the team does
- Authorize the re-slot project (dock, safety, shift).
- Execute the move tasks the model already ranked.
04
Deliver with a plan, not intuition
AI Routes builds the plan before the first truck starts: windows, capacity, geofences, and proof. The TMS does not guess the route; it calculates it.
What AI decides
- Route planning: fewer empty miles, appointments that can actually be met.
- Control tower: deviations, temperature, and bottlenecks before the SLA breaks.
- Field proof (photos, signature, geofence) that CRM shows the customer read-only.
What the team does
- The driver executes and captures in the app — they do not redesign the route in a notebook.
- The tower releases exceptions (closed customer, saturated dock) on the same dataset.
05
Virtual agents that administer
Administration is not a copy-paste department. Virtual agents govern users, tasks, suppliers, and document audit — without the bias of “it always goes to the usual person.”
What AI decides
- Assigns tasks and access with tenant rules, not favoritism.
- Audits Drive and logs: naming, permissions, compliance evidence.
- Frees operations from repetitive admin so the team stays on the floor and on the road.
What the team does
- Set the policy (who may do what) and review governance exceptions.
- Decide hiring and contracts; the agent does not sign — it runs the process.
Want this in your operation?
The diagnosis is not a generic PDF. We show you where AI already runs today and what is missing so orders, warehouse, and route speak the same language.