Walmart's supply chain technology team has embedded AI and digital twin capabilities into its operations to navigate an increasingly complex landscape shaped by geopolitical tensions, tariffs, and extreme weather. According to Indira Uppuluri, Walmart's SVP of supply chain technology, the retailer leverages predictive models, machine learning, and large language models—including partnerships with OpenAI and Google—to strengthen decision-making across nodes where products are received, processed, stored, or shipped (Supply Chain Dive - Technology).
Walmart's supply chain technology team uses agentic AI to optimize three key factors: assortment, speed, and cost. Rather than analyzing individual nodes in isolation, associates access AI agents that show how resources are leveraged across the entire network and identify bottlenecks. The retailer also deploys digital twin technology and modeling tools to simulate how its logistics network would respond to facility closures, transportation delays, or sudden shifts in customer demand—enabling rapid reaction to unexpected disruptions (Supply Chain Dive - Technology).
For commerce practitioners, this investment signals how AI and virtual logistics replicas are becoming essential for supply chain resilience. As same-day delivery becomes standard and disruptions multiply, the ability to simulate scenarios and generate actionable recommendations in real time differentiates leaders from competitors struggling to react manually to tariffs, weather, and geopolitical shifts.