Context :

A manufacturing company wanted to optimize its production line by reducing downtime. IoT sensor data was underutilized, and the lack of predictive models limited proactive maintenance.

Approach :

We audited the data infrastructure and deployed an AI solution based on machine learning to predict equipment failures. Data governance was established to ensure data reliability, and a real-time dashboard was provided to operational teams. Change management support facilitated adoption by technicians.

Results :

Downtime was reduced by 25% in one year, generating savings of €2 million. Overall productivity increased by 10%, and the company launched an internal program to extend AI to other processes.