Target's Proxima: AI Twin Revolutionizes Inventory

Target has implemented Proxima, an advanced digital twin technology designed to optimize its supply chain inventory decisions. This tool creates a virtual replica of the retailer's middle-mile inventory positioning system, enabling simulations of goods movement between facilities and stores.

By using the same data and logic as its live inventory platform, Proxima allows teams to test potential decisions. If a simulation reveals a problem, issues can be corrected, or alternative paths chosen, increasing confidence in implemented strategies. This leads to better product availability and smoother supply chain operations.

Proxima has demonstrated significant benefits, particularly for time-sensitive items like fresh food. A recent pilot involving 63 food products resulted in a 2.5% increase in on-shelf availability, achieved by simulating and rectifying inventory flow issues prior to launch.

The technology also played a crucial role in the opening of Target's Houston Receive Center. Proxima accurately simulated inventory movement into and out of the facility, achieving approximately 98% accuracy and significantly reducing post-launch flow issues.

Target plans to expand Proxima's use across more network functions. The insights generated are expected to inform future AI-driven decision support capabilities, assisting teams in evaluating options, prioritizing actions, and automating operational responses.