A supply chain digital twin is a virtual, continuously updated model of a physical supply chain, its facilities, transportation network, and inventory flows, used to simulate scenarios and predict outcomes without affecting real operations.
A supply chain digital twin is a virtual, continuously updated model of a physical supply chain, its facilities, transportation network, and inventory flows, used to simulate scenarios and predict outcomes without affecting real operations.
The digital twin is built using real operational data (facility locations, transportation lanes, lead times, capacity constraints) and kept in sync with real-world changes. Planners can then run simulations against the twin, testing the impact of a potential disruption, a new distribution center, or a demand spike, before committing to a real-world decision.
Testing scenarios in a digital twin is far cheaper and faster than testing them in the real supply chain, letting companies evaluate the potential impact of network changes, disruptions, or new strategies before committing real resources, reducing the risk of costly missteps.