Northline moves 27% more shipments without expanding its fleet
Challenge
As shipment volume increased, Northline struggled to get more capacity from its existing network. Route planning depended heavily on fixed schedules and manual adjustments, while traffic, delays, and changing delivery priorities regularly disrupted carefully planned routes.
Dispatch teams spent significant time reacting to problems throughout the day, making it difficult to improve fleet utilization without adding more vehicles and drivers.
Approach
Vesper combined shipment data, delivery windows, vehicle capacity, traffic patterns, and historical performance to continuously identify more efficient ways to move goods through Northline's network.
The team focused on:
- Automate recurring reports and approvals
- Route incoming requests intelligently
- Synchronize data between core systems
- Flag exceptions for human review
Northline's teams remained in control while AI continuously adapted recommendations as conditions changed.
Solution
Vesper introduced an intelligent coordination layer across Northline's logistics network, continuously analyzing routes, shipment priorities, and operational conditions to recommend the most efficient allocation of available capacity.
Northline could now:
- Automatically classify and assign requests
- Generate reports from live data
- Streamline routine approval processes
- Surface operational issues instantly
- Scale workflows without added complexity
Within six months, Northline increased shipment capacity by 27% using its existing fleet while reducing unnecessary mileage and improving on-time delivery performance.
