Data in route optimization:
state of play, issues and best practices
Addresses and delivery slots, package weight and dimensions… optimization solutions need a lot of data to plan routes.
In order to ensure that the routes are as relevant and realistic as possible, it is crucial to have all the necessary data.However, a lot of information is often missing or incorrect in the databases. With the wrong data, the calculated routes will inevitably be unusable and unrealistic.
What data do you absolutely need to optimize your routes? What impact does poor data quality have on routes? What solutions exist to improve data quality? Discover our feedback on the subject and our advice on how to solve these problems effectively!