We built an optimization tool that saves over $300,000 per year in shipping costs
Some of the Customers are Flexible
When it comes to delivery dates, there are customers that accept early or late deliveries without penalties, while others are strict. Furthermore, there are customers that allow a certain amount of late deliveries per annum. We included this consideration in our optimization, to ensure that the quality of customer service remains strong
Varying Rates Per Location
We had to gather and analyze historical shipping data to establish rates per mile for each end location. Our solution, designed to include rates for each location, yields the best route based not just kilometers driven, but overall cost of shipping
Improved Relationships with Trucking Companies
The increased consistency of routes, derived from our model, helped improve relationships with trucking companies. We helped secure the best rates for repeating routes, while minimizing the overall costs
Putting it all Together
Our solution helped our client move away from a manual approach, reduce planning time, and reduce shipping costs while keeping all current client considerations and customer service levels
How to help a food manufacturer deliver weekly orders in the cheapest way possible?
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