Yesp StudioConfidential · Enterprise Logistics
End-to-end shipment visibility and a measurable drop in expedited freight.
No real-time shipment visibility across a multi-carrier network.
Context, scope, and success criteria
Shipment events from carriers, brokers, and internal systems were arriving in different formats and at different times, which made it difficult to trust ETAs or prioritize exceptions. The operations team was doing a lot of manual work just to figure out where shipments really were.
- Establish real-time shipment visibility across the network and remove manual tracking dependencies.
- Improve ETA prediction confidence so planners could intervene before service issues escalated.
- Reduce expedited freight and exception costs by shifting to proactive exception handling.
- Create a scalable operating model that could onboard more carriers without adding headcount linearly.
Why the work started
No real-time shipment visibility across a multi-carrier network.
What we built
A supply chain control tower with ML-based ETAs, exception detection, and carrier scorecards.
Legacy versus modern flow
Carrier events, ETA updates, and exception signals were trapped in separate systems and spreadsheets, with no single control layer.
A cloud control tower that normalizes events, predicts ETAs, and triggers operator workflows for shipment exceptions in near real time.
How the work was executed
Integrated and normalized multi-carrier event streams into a common operational model.
Built ML ETA models with continuous retraining loops and monitored the impact of model drift.
Implemented operator workflows for proactive exception handling, escalation, and customer updates.
Added carrier scorecards to make service quality visible and actionable in weekly reviews.
Controls and delivery rhythm
Operational dashboards and carrier scorecards were reviewed weekly with logistics leadership, and exception thresholds were tuned with customer service, operations, and carrier management together.
Operations shifted from reactive tracking to proactive control, with measurable cost savings, better shipment visibility, and fewer expensive expedites.
Results and next steps
End-to-end shipment visibility and a measurable drop in expedited freight.
The next phase includes predictive network risk simulation and dynamic carrier allocation to optimize service and cost by lane.
Have similar architecture bottlenecks?
We can map the same modernization pattern to your infrastructure, release process, and operating model.