The state of logistics network operations has advanced dramatically over the past decade, mostly as a result of the implementation of Artificial Intelligence into capacity management. AI and advanced analytics are used across industries, and their technologies have an essential role in improving inefficient traditional processes.
For example, in shipping, data is oftentimes recorded over paper, telephone, and email. These procedures are not only outdated and antiquated, but they are inconsistent – making it impossible to build a usable baseline for operations and thereby management of those operations. Continue reading “Improving Logistics Network Capacity Management with AI & Demand Forecasting”