LogisticsIndustry ContextFriday, August 14, 20263 min read

Target strengthens inventory management with digital twins

Supply Chain Dive2d agogeneral
Target strengthens inventory management with digital twins
Executive Summary

The retailer developed Proxima to simulate how decisions play out, helping identify potential problems ahead of time.

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Industry Context

Useful background context, but lower-priority than direct platform, community, or operator intelligence.

Impact Level

medium

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Key Stat / Trigger

No single quantitative trigger surfaced in this report.

Focus on the operational implication, not just the headline.

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An article from Target strengthens inventory management with digital twins The retailer developed Proxima to simulate how decisions play out, helping identify potential problems ahead of time. Published Aug. 14, 2026 Kelly Stroh Senior Editor Share Copy link Email / Print License Add us on Google A Target sign.

The retailer's digital twin tool, called Proxima, helped simulate inventory flows at Target's Houston Receive Center prior to the facility's opening. jetcityimage via Getty Images Listen to the article 2 min This audio is auto-generated. Please let us know if you have feedback.

Target developed a technology tool that aims to help the retailer make better inventory decisions across its supply chain. The tool, called Proxima, is a digital twin of Target’s middle-mile inventory positioning system which determines how goods move between facilities to stores, per an Aug. 13 news release.

In practice, Proxima uses the same data and logic as its inventory platform to simulate how decisions play out before inventory teams put them into practice. “If a digital twin emulation through Proxima surfaces a potential problem, teams can correct the issue or take another path,” Target said in the release.

“If an approach works, they can move forward with greater confidence.” Besides improving product availability, Proxima’s feedback will help reduce possible supply chain disruptions and handle complex processes with better certainty.

For instance, Target’s fresh food offerings require strategic inventory planning due to product expiration dates and lead times, per the release. During a small-scale Proxima pilot of 63 food items, a Target team was able to simulate inventory flow changes and correct issues prior to launch.

In turn, the efforts helped improve the on-shelf availability of the fresh food products by 2. 5%. Proxima also played a part in the launch of Target’s Houston Receive Center. The 1.

2 million-square-foot facility — the first of its kind for Target — provides more inventory holding capacity and flexibility, serving six of the retailer’s regional distribution centers and a flow center. Prior to the site opening, Proxima was used to simulate how inventory would move in and out of the facility with about 98% accuracy, Target reported.

In turn, Target teams were able to lessen inventory flow issues after the receive center opened. Stronger inventory management has been one of Target’s ongoing priorities.

The retailer has been especially focused on exploring enhanced demand forecasting, artificial intelligence and machine learning to improve overall inventory forecasting, positioning and decision making. Looking ahead, Target aims to scale Proxima across more network functions.

“Over time, the insights Proxima generates could also inform future AI-powered, agentic decision-support capabilities, helping our teams evaluate options, prioritize actions and automate operational responses,” Target said. Recommended Reading Target strives for better inventory management, unloading processes By Max Garland • Feb.

18, 2025 Add us on Google Share Copy link Email / Print License Filed Under: Risk and Resilience, Technology, Operations Management, Retail

Original Source

This briefing is based on reporting from Supply Chain Dive. Use the original post for full primary-source context.

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