Manual inbound order registration
Shipping instructions, packing lists and receiving details are keyed into the WMS by hand, slowing down job creation.
Supply Chain · AI Agent
Why manual warehouse order management is holding you back
From inbound receiving to outbound fulfilment, warehouse teams spend too much time re-entering instructions, chasing confirmations and resolving avoidable errors. Let an AI assistant keep the administration moving while your team runs the warehouse.
Agentic AIWorkflow automationHuman-in-the-loop
Example workflowHuman in control
Customer instruction receivedEmail, shipping documents or collection request
AI checks order readinessSKU, quantity, batch, documents and stock
Warehouse order createdValidated job saved and verified in WMS
Operations completes workReceiving, picking, packing and release
Customer updated and case closedGRN, discrepancies, evidence and billing handoff
The challenge
Challenges:
Disconnected documents, inboxes and warehouse systems create extra work at every handoff.
Incomplete or conflicting information
Missing SKU, batch, expiry, container or quantity details trigger repeated email exchanges and delay receiving.
Disconnected inbound and outbound workflows
Warehouse receiving, inventory availability and customer collection requests are tracked separately, increasing the risk of duplicate or incorrect jobs.
Receiving discrepancies and evidence gaps
Shortages, damages, missing photographs and incomplete goods-received records are difficult to follow through to resolution.
Repeated customer follow-ups
Customer service must manually acknowledge requests, check job statuses and send receiving or collection updates.
Delayed closure and billing
Completed physical work does not always translate into timely WMS closure, stock reconciliation and billing-ready records.
Agentic process automation
Solution Overview:
Our warehouse order management agent coordinates the administrative work around your WMS, from customer instruction to completed transaction.
Intelligent inbound order intake
Read shipping documents and customer instructions; extract container, SKU, batch, expiry, quantity and receiving requirements.
Pre-entry validation and clarification
Check mandatory fields, customer-specific rules and available reference data; request missing or inconsistent information.
WMS job creation with confirmation
Create approved inbound or outbound jobs through supported WMS interfaces, read back the saved reference and send the correct acknowledgement.
Outbound availability checks
Compare collection requests with available stock, relevant SKU and batch details, and supporting DO or COA instructions.
Discrepancy and evidence follow-up
Track shortages, damages, pallet IDs, receiving photos, GRNs and release evidence, escalating non-standard cases to staff.
Completion and stock reconciliation
Monitor receiving, pick-pack and release status; verify approved updates, preserve discrepancy history and flag billing handoffs.
The workflow
How our AI assistant for
warehouse order management works
A configurable process supports inbound and outbound jobs as distinct transactions while maintaining an auditable customer journey.
Step01
Receive and acknowledge the instruction
Capture an inbound shipping request or outbound collection order from email and attachments. Send an immediate receipt acknowledgement without inventing a WMS job number.
Step02
Extract and validate the order
Identify customer, SKUs, quantities, batch and expiry details, shipment references and special instructions. Ask for any missing or conflicting inputs.
Step03
Create the correct WMS job
After required checks and approvals, create an inbound receiving or outbound fulfilment order. Read back the saved job ID and issue a second acknowledgement referencing it.
Step04
Coordinate warehouse preparation
Monitor arrival, permit and transport prerequisites for inbound goods; for outbound orders, check available stock and document handover instructions.
Step05
Track operational results and exceptions
Ingest the receiving tally or pick-pack result, identify shortages or discrepancies, and follow up on photos, pallet details, GRNs or release documents.
Step06
Confirm completion and reconcile
After warehouse staff confirm physical work is complete, close the job in the WMS, reconcile stock movements and flag the transaction for billing.
The business impact
Key features and benefits of Agentic AI
Faster order processing
Reduce manual effort from the initial request to WMS registration.
Better data accuracy
Catch missing information and mismatches before transactions are saved.
Clearer customer updates
Send timely acknowledgements, job references and completion notices.
Stronger inventory control
Keep inbound discrepancies and outbound stock movements traceable.
Less administrative chasing
Automatically follow up on missing documents, evidence and closure steps.
Ready to take the paperwork out of warehouse operations?
Give your warehouse and customer service teams an AI assistant that coordinates orders, exceptions and follow-ups around your existing WMS.
Hire one