An AI-powered logistics optimizer that raised load allocation efficiency by nearly 95%
What was the challenge
What was done
What was the result
About MatrixCargo
Testimony
MatrixCargo needed a solution to sequence load attendance in a more economical and optimized way. After 3 failed attempts with other vendors, they were looking for a partner to solve the problem.
With Discovery, we understood the problem and then built an Artificial Intelligence to calculate the lowest cost per trip. The MATRIX OPTIMIZER was developed by the Build service and runs on the cloud.
Cost reduction and improvement in the company's financial results. Load allocation assertiveness reached 95%, reducing planning time and operational costs. A real business impact.
MatrixCargo is a logistics startup of Grupo Cargolift, one of the largest in the sector in Brazil. It innovates collaboratively, connecting carriers and truckers to optimize freight transport.
“We chose Ateliware based on its strong market reputation, the visibility of its past projects, and because it is a company known for working on solutions that rely on disruptive and innovative thinking. In short, we had a very strong cultural fit, which was confirmed throughout the project's execution.”
Case Highlights
