Closing the Retail AI ROI Gap With Connected Process Chains
Retailers are exploring AI agents, but most report limited returns due to fragmented workflows and isolated deployments. Connecting whole process chains and coordinating decisions across planning and execution can help achieve reliable, scalable return on investment.
Retailers are rapidly adopting artificial intelligence, with nine in 10 decision-makers exploring AI agents and a third already deploying them. However, most leaders report limited returns due to isolated deployments that optimize single tasks while the wider workflow remains fragmented. To achieve scalable ROI, retailers must connect whole process chains, coordinating decisions across planning and execution. This involves aligning inventory, labor, fulfillment capacity, and transport to respond faster and reduce disruption. By using 'production AI' to dynamically coordinate automation and robotics, retailers can improve throughput, accuracy, and resilience. Human oversight remains essential for managing exceptions and ensuring AI supports consistent outcomes.
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