Overlist
Dynamic dispatch optimization
System details
By incorporating order information, delivery destinations, time slots, load constraints, and traffic congestion data, the AI automatically creates route and vehicle dispatch plans that balance the shortest distance with strict adherence to delivery times.
The route is distributed to the driver app, and if there are delays, vehicle cancellations, or additional cargo, it is immediately re-optimized.
assignment
Vehicle dispatching relies on the intuition of experienced drivers, and it is anticipated that plans are likely to fall apart during peak seasons or due to last-minute changes.
There are many constraints regarding time and vehicles, and manual adjustments have their limits. Traffic jams and unexpected situations often delay replanning, leading to delays, idle time, and long working hours.
Implementation effects
This approach is expected to reduce the total distance traveled while improving the adherence to scheduled time slots.
We can respond immediately to same-day changes, reducing the workload on dispatchers and shortening the planned lead time.
