Case Study: AsstrA achieves faster, more accurate freight rate prediction with InData Labs

AsstrA doubles freight rate prediction accuracy with InData Labs

The customer, AsstrA, a global transport and logistics company, faced a challenge in making accurate and efficient freight rate predictions. Their existing solution required extensive manual review, which consumed significant time for their forwarding agents. To address this, they partnered with vendor InData Labs for a machine learning-based predictive analytics solution to automate and improve their freight quote process.

InData Labs developed a custom freight rate prediction software using technologies like Python, CatBoost, and Flask. The solution integrated with the client's transport management system to process data, generate predictions, and provide actionable insights. This implementation by InData Labs resulted in the freight rate prediction accuracy being improved by twice, significantly reducing manual analysis time and enhancing business efficiency for AsstrA.

AsstrA