Use Cases of Machine Learning in dexFreight’s Decentralized Logistics Platform

In this document, we describe in high-level use cases and strategies to implement machine learning algorithms to provide platform users with benefits such as intuitive selection of loads, carriers, and shippers, trip chaining and revenue maximization, cost prediction, and more. Machine learning algorithms can only be performed on archived and real-time data. In such cases, users will “opt-in” to allow dexFreight to store and access their historical data.