GoMobileIQ provides software to route multiple delivery vehicles to hundreds of stops in a particular city.
GoMobileIQ was using the traditional Nearest Neighbors (NN) algorithm to do the routing with little sophistication on top of it.
They needed to solve some additional constraints on top of getting short delivery routes:
- Equal number of stops per driver.
- Drivers prefer working in a territory (side of town).
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dynamic rerouting as the day progresses.
- Delivery vehicles have capacity constraints.
Royalty Analytics leveraged several technologies to solve the problem and increase the effectiveness of the routing solution including:
- K-means clustering algorithms (to keep drivers in a territory)
- Nearest Neighbor (to bootstrap the solution)
- K-Opt Algorithm (for simple solutions)
- Genetic Algorithms (to fine tune and improve the simple solution and fit the constraints)
In the end our solution not only improved the delivery routing algorithms but it also worked in well with their existing web portal.
How can we improve your transportation scheduling for you contact us?