Industry · Supply Chain
AI Solutions for Logistics and Mobility
Routing, dispatch and exception detection across fleets and networks.
Overview
Logistics is a sequence of decisions made under time pressure with incomplete information. Which vehicle, which route, which order, and what to do when something goes wrong two hours from now. Small improvements at that frequency turn into significant margin.
We build routing, dispatch and exception systems for operators and networks that plug into the telematics, TMS and WMS data you already collect. Recommendations reach the dispatcher in their console with the reason attached, and the system learns from every override.
Prediction alone is not the product. An accurate ETA matters only if it triggers a decision, so we build the action alongside the forecast: reassign, reroute, notify, or hold.
Where AI pays off in Logistics & Mobility
Routing and dispatch optimisation
Assignment and sequencing that respect real constraints: driver hours, vehicle capability, time windows and depot capacity.
ETA and delay prediction
Arrival forecasts that improve as conditions change, with automatic notification when a promise is at risk.
Exception and anomaly detection
Early detection of shipments drifting off plan, surfaced while there is still time to intervene.
Network and inventory planning
Demand and flow forecasts that inform positioning of stock and assets ahead of the week.
What we design around
Logistics & Mobility constraints
- Hard constraints: driver hours, capacity, time windows
- Real-time decisioning against live telematics feeds
- Dispatcher trust and override capture from day one
- Integration into the existing TMS rather than a new console
Services we apply here
How we build for Logistics & Mobility
Proof in production
Related case studies
Frequently asked
Logistics & Mobility: common questions
Can the system respect our driver-hour and capacity rules?
Yes. Those are encoded as hard constraints in the optimiser, so the model only ever recommends assignments that are legal and feasible.
Do dispatchers have to use a new tool?
No. Recommendations render in the console they already work in. We treat a separate application as a failure mode, not an option.
How quickly does a routing system show measurable impact?
A supervised pilot typically runs at 10 to 12 weeks, with impact on SLA breaches and cost per drop measurable over the following quarter.
Let’s solve your data challenge