Problem

When predicting the service life of main vehicle parts and assemblies is difficult, companies suffer from vehicle downtime and overconsumption of spare parts, resulting in bloated and non-transparent fleet maintenance costs. The lack of advanced analytics tools makes it impossible to accurately assess factors affecting service life, estimate overconsumption, and adjust the processes accordingly.

Solution

A SaaS platform that monitors the key indicators of vehicles and the remaining service life for units, assemblies, and spare parts. The system can predict their failure with an accuracy of 95+%, which makes it possible to preventively repair the transport before it breaks down during operation and before it causes downtime in transportation routines. The solution also allows you to control driving quality and safety, affecting the service life and fuel consumption.

Result:

• Reducing repair costs by 30% or more;
• Reduced repair downtime by up to 65%;
• Fuel savings of up to 10%;
• Decrease in the spare parts stock volume by 35%.

Implementation stages

PROJECT

Discussion of goals, objectives, and solution demonstration (1–3 days)

SCENARIO

Discussion of goals, objectives, and solution demonstration (1–3 days)

PILOT PROJECT

Pilot implementation of the solution (3–5 weeks)

Scaling

Scaling