This is especially true when these routes have to be organized according to different factors: the nature of the intervention, its geographical location, or even the development of technicians' skills.
TDF, therefore, needs a specific optimization program that integrates all these criteria to automatically define ideal routes that minimize fuel consumption.
the brief
TDF wants to optimize the management of its maintenance operations throughout France automatically.
the issues
How can we increase the efficiency of response teams while reducing travel times and operating costs?
the technological challenge
Reconciling the different types of intervention with the specific skills of technicians and the logistical constraints inherent in a network of infrastructures spread across the territory.
We faced a technological challenge in optimizing the planning of our field operations. b<>com was able to meet our expectations very reactively: six months after discussing the subject with their artificial intelligence experts, the research began to produce a deployable, reliable, and high-performance solution.
This project represents a significant step forward in applying AI to the operational management of critical infrastructures. We aim to provide TDF with an autonomous, innovative tool that can be easily integrated into their existing systems.