A leading American multinational logistics firm.
Continuously supervising images of loading/unloading the containers reduces damages and improves on-time delivery. However, manual process of identifying damaged shipment was not scalable.
Mphasis' Damaged Shipment Prediction model helped the client in predicting whether the shipment’s packaging is damaged or not by taking images of shipments at various stages of the delivery cycle. With this, the client could assess damages and identify stages with high risk of incurring damage, optimize the stages and deliver shipments on-time without damage.