The supply chain A&DI technology market spans capabilities that provide different types of analytics, focusing on predictive and prescriptive ones. Many of these offerings have been enhanced with AI and DSML capabilities to support supply chain decision making. These capabilities could either be part of a broader supply chain application/suite or a separate encompassing A&DI platform. Such a platform consists of existing and emerging technologies, including: Graph technology, Advanced analytics, AI, DSML, Model development & Digital supply chain twin (DSCT).
Supply Chain Simulation Software is designed to model, analyze, and optimize the operations of a supply chain virtually. It allows manufacturers, logistics providers, retailers and consultants to create a digital replica (or simulation) of their supply chain processes, including production, inventory, warehousing, distribution, and transportation. This software is also used to understand how a supply chain behaves under different conditions or scenarios without having to experiment in the real world. It also utilizes optimization algorithms to find the most efficient ways to allocate resources, schedule production, and manage logistics.This helps in reducing risk and asosciated costs, improves decision making leading to increased efficiency, which eventually enhances customer service.