Michelin Connected Fleet Leverages a Data-driven Performance Management Platform to Elevate their Delivery Process ​

NESS Partner Of MCF CMJN Blanc

Case Study

Michelin Connected Fleet Leverages a Data-driven Performance Management Platform to Elevate their Delivery Process ​

The solution reduces overcommitment, delivery, and velocity variance issues, leading to significant improvement in performance.​


With a commitment to best-in-class fleet management for their customers, Michelin Connected Fleet leverages the latest platforms and technology to add new features constantly. The company, a division of Michelin, was using connected solutions (like Masternaut) to improve fleet management of heavy and light commercial vehicles, semi-trailers, and vans to optimize operations, improve the safety and security of goods and people, and adopt a more sustainable approach. ​


To stay competitive and become a trendsetter in their services, the client wanted to elevate their delivery to provide outstanding services, quality, and reliable data to their customers. They were also keen on maintaining and improving their delivery process across multiple parameters, including stability, estimation, transparency, and predictability for all agile teams managed by Ness.​


Ness leveraged its intelligent engineering accelerator, Matrix, to identify the following common patterns for the client:​

  • Delivery: Overcommitment and delivery issues—out of 91 sprints, 45 were delivered within 20% estimated tolerance
  • Predictability: Velocity variance and issues with stable predictive delivery—velocity variance was lower for teams with a low completion rate​
  • Quality: Stable outstanding bugs count in the system (~ 570 open bugs)​

Ness, based on Matrix findings, performed the following actions to improve:​

  • Productivity: Improved planning sessions with the product management team by applying the fulfillment predictions from Matrix​
  • Predictability: Minimized delivery variance with better estimation by applying the estimation accuracy metric, helping the product management with milestone-level planning using Matrix
  • Quality: Introduced backlog health check metric for each team, along with bug rate and outstanding bug metric goals/benchmark​


Overcommitment and velocity variance issues were reduced through better planning and applying agile best practices, leading to improved estimates (planned vs. actuals), productivity, and completion rate (by 67+%).​

Non-availability of a scrum master (hence no agile routines) led to performance issues. Leveraging Matrix improved agile practices and addressed defects frequently, leading to improved quality and lowered outstanding bugs. ​