Walmart Uses AI and Digital Twins to Upgrade Its Supply Chain
Walmart is introducing artificial intelligence and digital twin technologies to improve global sourcing, logistics forecasting, and fulfillment route planning.
What are the key facts?
- 1Use of digital twin technology
- 2Predictive models covering operational data
- 3Optimization of global sourcing and fulfillment routes
What happened?
Walmart’s supply chain management team is advancing the use of artificial intelligence and digital twin technologies. The approach involves feeding large volumes of operational data into predictive models to support supply chain management and logistics planning. The report said these models can help the company automate scheduling for 1 million employees and plan product sourcing and last-mile fulfillment routes.
Walmart is also using these technologies to address complex factors in the global logistics environment, including geopolitical changes and extreme weather. Digital twin technology can simulate supply chain operations, while predictive models use operational data to assist with sourcing, transportation, and fulfillment decisions. The report said Walmart hopes to strengthen the forecasting capabilities and resilience of its global logistics system by combining artificial intelligence with digital twins.
What does this mean for cross-border sellers?
Walmart’s supply chain technology upgrades mean the platform and its suppliers are likely to place greater emphasis on coordination across inventory, sourcing, and fulfillment data. Do not focus only on front-end sales; data gaps and delivery volatility may gradually weaken competitiveness. Highest-priority action: This week, verify whether your Walmart store’s inventory, sourcing, and logistics data can be synchronized daily.