Case Study: MatrixCargo achieves 95% load allocation accuracy with ateliware software's AI logistics optimizer

MatrixCargo boosts load allocation accuracy to 95% with ateliware software

The logistics startup MatrixCargo, part of Grupo Cargolift, needed an economical and optimized solution to sequence load attendance after three previous attempts with other vendors had failed. They partnered with ateliware software to develop an AI-powered logistics optimizer to address this challenge.

ateliware software built the MATRIX OPTIMIZER, an artificial intelligence solution that calculates the lowest cost per trip and runs on the cloud. The implementation resulted in a 95% load allocation assertiveness rate, significantly reducing planning time and operational costs for a major improvement in the company's financial results.

MatrixCargo