Back to projects

Improving the supply chain for truck maintenance

The Challenge

This project aims to design a suite of algorithms that can predict what would otherwise be unexpected truck breakdowns and their root causes. These algorithms will make use of data generated during normal truck operations, particularly related to the engine, brake and tire subsystems. Sasha Kucharczyk, COO and Co-Founder, Preteckt: “Preteckt is excited to develop new diagnostic tools which will enable more relevant and precise maintenance operations which will limit unexpected breakdowns and further improve the reliability of trucks while reducing operating costs.”

The challenge

This project aims to design a suite of algorithms that can predict what would otherwise be unexpected truck breakdowns and their root causes. These algorithms will make use of data generated during normal truck operations, particularly related to the engine, brake and tire subsystems. Sasha Kucharczyk, COO and Co-Founder, Preteckt: “Preteckt is excited to develop new diagnostic tools which will enable more relevant and precise maintenance operations which will limit unexpected breakdowns and further improve the reliability of trucks while reducing operating costs.”

Investment

$
1.4
M

Scale AI investment

$
5.0
M

Total investment

Partners

Join ALL IN - the most important event dedicated to Canadian AI!