Walmart Uses AI to Cut Delivery Times to 30 Minutes and Eliminate 30 Million Miles of Driving

Quick Facts

Walmart’s U.S. e-commerce sales grew 26% in Q1, fueled in part by AI-driven supply chain improvements.
The company’s route optimization AI eliminated 30 million unnecessary miles driven and avoided 94 million pounds of CO2 emissions.
Walmart aims to automate 65% of its stores by 2026, with more than half of fulfillment center operations already automated.

Walmart is no longer running its supply chain like a retailer. It is running it like a technology company, and the results are showing up in delivery speeds, sales figures, and emissions data.

The company’s global e-commerce sales grew 26% in Q1. In the U.S., online sales matched that pace. At the center of that growth is a system of AI models Walmart calls intelligence layers, which predict what customers will buy, where they will buy it, and when products need to move before an order is ever placed.

According to Retail Brew, Walmart has built AI into three core algorithms: a selection algorithm, a routing algorithm, and a scheduling algorithm. Together, they make real-time decisions about how to move products through a network with billions of possible delivery paths.

From Warehouse to Doorstep

Once a customer places an order, the Walmart Fulfillment Engine takes over. It uses an ensemble of AI agents to identify the best fulfillment node, whether a store or a fulfillment center, based on speed, cost, and product availability.

The system draws on data beyond sales history. Weather patterns, social trends, and geospatial signals all feed into demand forecasts. That intelligence allows Walmart to pre-position inventory before demand spikes rather than reacting after the fact.

Delivery estimates are no longer static. Walmart’s Dynamic Delivery Window System refreshes ETAs down to the minute using driver GPS, road network data, and machine learning models trained on millions of past deliveries. Some customers are already seeing delivery windows under 30 minutes.

The Routing and Logistics Edge

Walmart uses adaptive large neighborhood search models to find the shortest and most cost-effective delivery routes for drivers. The same AI adjusts routes in real time based on road conditions, store traffic, and GPS inputs.

The efficiency gains are material. Walmart’s route optimization technology eliminated 30 million unnecessary miles and avoided 94 million pounds of CO2. The system also identified and bypassed 110,000 inefficient delivery paths.

During external disruptions, such as storms or congestion at the Panama Canal, the same AI helps Walmart diversify port origins and reroute imports to optimal destinations.

Warehouse Automation at Scale

Walmart has more than half of its fulfillment center operations automated already. The company targets 65% of its stores automated by 2026. Robotics handle storage, retrieval, and packing, cutting reliance on manual labor and speeding up order processing.

Computer vision and AI also handle inbound inventory quality control, giving the company better visibility into what enters the network and in what condition.

If demand shifts in one region, AI models dynamically redirect inventory to match. When fulfilling from stores, the system selects which location in a customer’s area can deliver fastest with the fewest trips.

What Executives Are Saying

Suresh Kumar, Walmart’s Global CTO and CDO, described the shift this way: “AI is now this conductor of this orchestra of product movement. By having AI be able to understand all aspects of inventory movement, we can now be much better at not just predicting what customer needs are, but when do they need something?”

Indira Uppuluri, SVP of Supply Chain Technology, said the company uses a digital twin of its supply chain to simulate what-if scenarios and stress-test decisions. Her team tests new models at smaller scale before rolling them out company-wide. “End to end, every segment of what we do is driven by some form of intelligence,” she said.

Uppuluri also named the three variables the supply chain is built to balance: “Assortment, speed, and cost are the three that we are trying to balance and optimize through the supply chain.”

For competing retailers and DTC operators, Walmart’s build-out sets a new baseline for what customers will expect in delivery speed and reliability. Matching it without Walmart’s scale will require deliberate investment in AI-driven logistics tools.