An autonomous routing agent reduces failed deliveries
Last-Mile Carrier — a logistics organisation — engaged Skillikz on autonomous routing agent: Predictive, self-adjusting routing for a last-mile carrier. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 5 months.
Static route plans broke down against real-world traffic, access issues and customer availability, driving up failed deliveries and cost.
We built an agent that continuously re-plans routes from live signals, acting within guardrails set by operations.
Failed deliveries dropped 22%, with lower cost per drop and a higher on-time rate as routes adapt in real time.
The AI services behind this outcome
A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.