FIEGE Automates Delivery Note Processing Across Warehouses
How FIEGE's warehouse operations team cut delivery note processing time and built a path to scale across multiple sites.
Problem
Delivery note processing was manual, error-prone, and entirely dependent on individual warehouse staff knowledge — making it impossible to scale consistently across sites.
Solution
Interloom structures the full delivery note lifecycle into repeatable workflow stages with AI-assisted extraction and validation, so warehouse teams process cases faster and more consistently.
73%
Faster delivery note processing
8
Warehouses targeted for rollout
12min
Average case resolution time
“What used to take a full shift of manual sorting and matching now runs in minutes. And the best part — our warehouse managers can adjust the workflow themselves when new suppliers come in.”
Head of Warehouse Operations, FIEGE
Background
FIEGE is one of Europe’s leading contract logistics providers, operating warehouses across Germany and beyond. Its teams handle thousands of delivery notes daily, each requiring matching against purchase orders, inventory records, and supplier master data.
The Challenge
Delivery note processing was entirely manual. Warehouse staff reviewed paper or PDF documents, cross-referenced data across multiple systems, and resolved discrepancies through phone calls and email. The process was slow, inconsistent across sites, and nearly impossible to train new staff on quickly.
With plans to expand the approach to four to eight additional warehouses, FIEGE needed a solution that could standardize the process without losing the flexibility that individual sites required.
How Interloom Helped
FIEGE’s operations team built a delivery note processing workflow in Interloom that covers the full lifecycle — from document intake and AI-assisted field extraction through validation against ERP data and exception handling.
Warehouse managers define site-specific rules for supplier matching and discrepancy resolution. The AI handles routine extraction and classification, while edge cases are routed to human operators with full context. Every step is logged, and the workflow adapts as new suppliers and document formats are introduced.
Results
Delivery note processing time dropped by 73%, with an average case resolution time of 12 minutes. The initial single-warehouse deployment is now being rolled out across eight sites, with each location able to customize its workflow independently.