Walmart transportation teams stress-test the network in a digital twin before severe weather
Walmart Global Tech wrote on June 24, 2026 that its supply chain teams use AI and predictive models to prepare for severe weather before it arrives: real-time weather intelligence is integrated with operational systems, machine learning and simulation tools model how forecasts could affect inventory, transportation routes and customer deliveries, and transportation teams use digital twins, virtual replicas of the logistics network, to simulate how goods move under stress so they can evaluate capacity, align stores with alternative distribution centers and adjust before customers feel it. Indira Uppuluri, senior vice president of supply chain technology, said simulating disruptions and evaluating scenarios lets teams make more informed decisions about inventory, transportation and fulfillment before weather impacts customers. The post says the technology strengthens associates' judgment rather than replacing it.
Severe weather is where the delivery promise breaks first, and Walmart's post describes the twin's job on that day: simulate the network under stress, check capacity, point stores at alternative distribution centers and move before the forecast becomes a disruption. For buyers on the program the useful test is whether their own network model can take a storm as an input and return a decision list, and whether the people who own that list trust it enough to act early. For suppliers the map is explicit: weather intelligence joined to operational systems, machine learning and simulation tools, and transportation planning that can re-route shipments and reposition inventory, with the human decision kept in the loop. The company's statement is its own and is presented here as published.