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).
Gartner defines network design as the optimization of the location and function of supply, manufacturing and distribution networks in support of an overarching company strategy and customer requirements. Supply chain network design tools support the creation of network models with the application of analytics to determine the optimal supply chain design in a structured, scalable and repeatable way. Supply chain network design tools support the determination of recommendations about the structure of the supply chain network. This includes decisions about facility locations and size, transport lanes, and modes in the end-to-end supply chain. The scale of the changes being evaluated vary from small modifications, such as changing a mode of transport or swapping transportation lanes, to large-scale changes that involve opening/closing/repurposing several facilities in the network and the associated knock on impacts. The use of supply chain network design tools to support the decision-making process enables companies to review more potential configurations for the network than a manual process allows, supporting a complete, data-driven decision making process. These decisions are usually made in strategic and tactical time frames.
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.