In the world of logistics, fraudulent and dangerous packages are one of the industry's biggest challenges. That's why a major multinational logistics company turned to BigHub for help in implementing a system for early detection.
Our goal was to deploy a solution for real-time evaluation of shipments as they enter the transportation network. During the project, our team faced several challenges, such as scaling the REST API and managing the ML lifecycle. The REST API was connected to the client's network, where further operations would be carried out on the data. Based on the client's pilot solution, which had been developed and tested using historical data, BigHub improved the algorithms and deployed them in a production environment for real-time evaluation of shipments as they entered the transportation network.
Through the REST API connected to the client's network
The project has encompassed a variety of areas and modern data technologies