Walmart is leveraging AI and digital twin simulations to manage an increasingly complex supply chain, providing real-time resilience against weather and geopolitical disruptions. The strategy, overseen by SVP Indira Uppuluri, uses in-house models and partnerships with OpenAI and Google to optimize nodes and same-day fulfillment. This signals a pivotal shift for logistics professionals, as the world's largest retailer embeds predictive intelligence from warehouse to last mile.
Walmart's retail operations are getting an AI overhaul, with supply chain technology designed to support same-day delivery and inventory precision. The disclosure from SVP Indira Uppuluri highlights how AI and digital twins are enabling faster, more reliable fulfillment for customers, directly impacting the e-commerce battle with Amazon. Retail analysts will note the workforce upskilling via Squiggly and partnerships with OpenAI and Google as a competitive differentiator.
Walmart is assembling a formidable AI toolkit—from off-the-shelf LLMs by OpenAI and Google to custom models and digital twins—to rethink its supply chain. SVP Indira Uppuluri describes a data-rich environment where predictive signals optimize every node, and the Squiggly platform extends AI literacy to 2 million employees. For AI engineers and researchers, this is a real-world testbed of enterprise AI at unprecedented scale.
Source: Retail Dive · Supply Chain Dive
