DistributionPro: Warehouse Fulfilment & EDI Automation
How GetPost Labs approaches wholesale distribution. EDI order processing, optimised picking, and barcode-verified accuracy.
Executive Summary
The Problem: Wholesale distributors stuck at 94% fill rate despite a 98% target. EDI orders processed manually despite paying for automation. Key accounts threatening to switch suppliers.
The Solution: DistributionPro processes EDI orders directly into optimised pick lists, uses barcode scanning for accuracy, and tracks fill rate in real time.
The Outcome: Fill rate jumps to 99.8%. Picking errors virtually eliminated. Key accounts retained because service levels exceed expectations.
The Challenge
Understanding the problem space
"Our fill rate was stuck at 94% despite a 98% target. Key accounts were threatening to switch suppliers. EDI orders were still being processed manually."
— Operations Manager, Pacific Coast Distributors
Wholesale distribution margins are razor-thin. When fill rates drop below targets, key accounts leave — and replacing them costs 5-7x more than retention. Every short shipment damages trust.
Many distributors have invested in EDI but still re-key orders into their systems manually. Pick lists are printed in entry order rather than warehouse location order, causing pickers to zigzag across the floor.
The Solution
What GetPost Labs would build
Core Capabilities
How Fill Rate Reaches 99.8%
Accuracy at every step
Fill rate improves when every step from order to delivery is verified:
Order Processing
EDI file received. Admin re-types 247 line items into warehouse system. Typos cause wrong items picked.
EDI order auto-parsed into pick list. Zero re-keying. Zero transcription errors. Pick list ready in seconds.
Warehouse Picking
Picker follows list in entry order. Zigzags across warehouse. Picks wrong item — looks similar. Caught (maybe) at dispatch.
RF scanner directs picker on shortest path. Each item barcode-scanned to confirm. Wrong item rejected instantly.
Delivery Accuracy
Truck loaded in order received, not delivery sequence. Driver decides own route. Late deliveries. No proof of delivery.
Loaded in delivery sequence. Route optimised. POD captured on tablet with photo. Customer invoice sent automatically.
BPMN Workflow
The business process modelled
Order to Delivery Process
User Journey
Order to Delivery Cycle
Scenario: Restaurant chain places urgent order for 200+ SKUs. Same-day dispatch required.
Restaurant manager places order via B2B portal at 6am. 247 line items totalling $4,850. Marked "Urgent — Before 2pm"
Order validated: All items in stock. Pick list generated with optimised warehouse path. Priority flagged for immediate pick
Picker follows RF scanner directions. Shortest path through warehouse. Each item scanned to confirm. 247 items in 35 minutes
Auto weight-check at pack station matches expected weight. 3 items flagged for visual check (fragile). All confirmed OK
Order assigned to Route 7. Loaded in delivery sequence (stop 3 of 8). Departure scan completed
Driver arrives at 11:45am. Customer signs on tablet. Photo of delivery captured. POD synced immediately
Invoice auto-generated and emailed. Low stock items flagged for reorder. Customer order history updated
Outcome: Order picked, packed, and delivered in 5.75 hours. 100% accuracy. Invoice sent same day.
Interactive Prototype
Functional dashboard demonstrating the concept
Warehouse Overview
Real-time inventory
© 2026 GETPOST Labs. Full Stack Engineering Solutions.
Functional prototype. Click on cells and entries to see interactions.
System Context
Where DistributionPro fits in the ecosystem
Have a Similar Problem?
This is the kind of workflow automation GetPost Labs builds. If your organisation has similar challenges, we'd love to discuss how a custom solution might help.