AI-Powered Route Optimization Cuts Delivery Costs by 32%
About the Client
Regional Courier Network
Chicago, USA
300+ vehicles
The Challenge
Dispatchers were manually planning routes for 300+ vehicles daily, leading to inconsistency.
Fuel costs were escalating due to suboptimal routing and empty return trips.
On-time delivery rate had dropped to 74%, threatening key contracts.
Our Approach
Analyzed 18 months of historical route and delivery data to train ML models.
Built a constraint-based optimization engine accounting for time windows, vehicle capacity, and traffic.
Integrated real-time traffic feeds from HERE Maps for dynamic rerouting.
The Solution
Deployed AI route planning engine that generates optimized dispatch plans in under 60 seconds.
Built mobile driver app with turn-by-turn navigation and live order status updates.
Created operations dashboard with fleet utilization, SLA tracking, and fuel analytics.
Results & Impact
"The routing engine paid for itself in the first quarter. Our dispatchers now focus on exceptions instead of manual planning."
Marcus Johnson
VP Operations, Regional Courier Network
