Customer story - Warehousing
Pan-European Logistics & Supply Chain Leader reduces operational exceptions by 60%
Outcome
Rhenus
The impact
60%
reduction in recurring operational exceptions per week
80%
of standard freight invoices processed without manual review
2x
improvement in real-time shipment status visibility
The challenge
Where the work was getting stuck.
Rhenus, a global logistics service provider operating across contract logistics, freight, port logistics, and home delivery, managed a high volume of operational exceptions — late shipments, discrepant documents, invoice mismatches — that consumed disproportionate team capacity to resolve. Across its diverse business units, data silos meant that visibility of exception status required manual aggregation from multiple systems, and finance teams processed a high volume of freight invoices without automated validation against agreed rate cards and contracted terms.
The solution
One intelligence layer across the workflow.
Stargo Stardox Agentic AI was deployed across Rhenus's operations to introduce automated exception detection, intelligent routing, and invoice validation. The Stardox Agentic AI monitors shipment and warehouse event streams for early-warning signals — dwell time anomalies, routing deviations, document mismatches — and routes flagged cases to the correct resolution team before they breach SLA thresholds. Freight invoice automation validates incoming bills against contracted rates in real time, eliminating the manual matching cycle and dramatically reducing the invoice exception queue.
"At our scale, even a 10% reduction in exceptions has enormous impact. Stargo delivered 60% — and our finance team got back time they hadn't seen in years."