How Digital Twins Reduce Risk for Supply Chain Decision Makers
Is your organisation exploring building a digital twin to support its planning and operational teams?
This paper offers practical examples of how and why a digital twin is an increasingly important tool for progressive supply chain teams. We live in a world of constant change. Trade wars, consumer trends and legislation can all impact supply and demand as fast as it takes to refresh a browser.
Responding to change quickly requires accurate and timely information. The less reliable information a planner has access to in the face of a crisis, the greater the chance they will not select the best overall option for the business. Today there is more data available to supply chains than ever – however, leveraging the data is where the challenge for the data management experts really begins.
To make better faster and more informed decisions across the supply chain, platforms connect multiple interlinking data streams to enable holistic analysis. By creating a virtual twin of your supply chain variables it is possible to model specific scenarios and measure their potential impact with little effort and no cost. This paper describes how a Logility customer used their Digital Twin to assess the commercial viability of adopting a potential new supplier more accurately leveraging AI and ML and far quicker in a complicated exercise that would have taken 2 weeks, in just two hours.