Case Study: Danske Fragtmænd avoids road toll burden with valantic data and AI

Danske Fragtmænd automates toll allocation with 98% accuracy using Valantic

Danske Fragtmænd, a major Danish freight company owned by 40 independent hauliers, faced a severe administrative and billing crisis following the introduction of a new national road toll law. With 1,300 trucks making millions of trips annually, both for business and privately, it was impossible to manually allocate the millions in monthly Brobizz toll invoices fairly and transparently. valantic was engaged to solve this complex data challenge.

valantic's data scientists developed a Python-based AI model that processes GPS, Brobizz, and map data within the Snowflake platform to calculate toll costs with 98% accuracy. The solution, delivered in just three months, automatically allocates costs to the correct haulier, saving countless manual hours and removing administrative burden. Beyond tolls, the system now provides precise environmental reporting and data-driven workforce forecasting for Danske Fragtmænd.

Danske Fragtmænd