Customer story - Logistics
German Transport & Logistics Group eliminates 65% of manual dispatch tasks
Outcome
Zufall
The impact
65%
of manual dispatch coordination tasks eliminated
72%
reduction in dispatch planning time per shift
88%
on-time delivery performance rate achieved post-deployment
The challenge
Where the work was getting stuck.
Zufall Logistics Group, a German transport and logistics provider operating a dense regional network, managed daily dispatch planning through a combination of manual load building, telephone coordination with drivers, and spreadsheet-based route scheduling. Dispatchers spent the majority of each shift performing routine scheduling tasks — assigning loads, confirming driver availability, updating status — leaving little capacity for handling exceptions, customer queries, or operational improvements. Peak volume periods created recurring bottlenecks that increased late delivery risk.
The solution
One intelligence layer across the workflow.
Stargo Stardox Agentic AI was deployed as a dispatch intelligence layer, integrating with Zufall's transport management system to automate load assignment, driver allocation, and route optimisation. The Stardox Agentic AI processes incoming shipment volumes against available capacity, driver schedules, and route constraints, producing optimised daily dispatch plans in minutes. Dispatchers review and confirm Stardox Agentic AI-generated plans rather than building them manually. Real-time status monitoring triggers exception alerts — delays, capacity shortfalls, route deviations — before they become delivery failures.
"Our dispatchers used to be schedule builders. Now they're problem solvers. The difference that makes for our team — and our customers — is enormous."
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