A supply chain digital twin is a live model of your physical network: your warehouses, factories, inventory, and transportation routes, built from your actual operational data. It lets you test a decision in the model first, so you see the cost and service impact before you commit budget or people to a change in the real network.

It works by connecting your Supply Chain data (ERP, WMS, transportation) into a modeling engine that mirrors how your network actually behaves. On the Sophus platform, Dastro handles the data connection and cleanup, and Sophus X runs the optimization and scenario logic on top of it, so the twin reflects your current network.

You need two things: a way to pull and clean data from your source systems, and a modeling engine that can optimize and simulate scenarios on top of that data. Sophus pairs both into one platform, Dastro for data automation and Sophus X for modeling, optimization, and what-if analysis.

Yes. More supply chain, logistics and planning teams are adopting digital twins as their supply chain complexity rises and disruptions become more frequent. Adoption is driven by the need to test a decision before committing capital or time, For current market sizing, an industry analyst report is a better source. Our focus is making the technology practical to deploy inside your team.

Look for a platform that connects your optimization engine, your digital twin, and your data model all into one and enable large language model to work on top of the context instead of having them separately. That connectivity is what lets a change in one part of the network, inventory overstocking/understocking or a shifted capacity, show up automatically in your cost and service projections elsewhere.