Case Study: a project management system provider improves project duration prediction accuracy with InData Labs

a major enterprise project management system improves duration prediction accuracy by 50-60% with InData Labs

The Client, a developer of a widely-used project management system for enterprises, faced a challenge in accurately predicting project duration due to a lack of reliable information from managers. To address this, they engaged InData Labs to leverage machine learning and enhance their system's capabilities.

InData Labs developed a microservice using a gradient boosting model to predict the number of days left until a project's completion. This solution, accessible via an API, improved the accuracy of project duration prediction by 50-60% compared to human estimates and was successfully integrated into the Client's project management system for real-time use.