Manhattan Associates announced the commercial availability of its AI Agent Workforce, a suite of autonomous agents that run natively inside the company’s Manhattan Active cloud platform. The agents can perform a range of supply‑chain tasks—from store‑associate duties and contact‑center routing to labor‑planning and shipment‑tracking—by executing real‑time decisions and adjusting workflows without the need for overlay solutions.
The launch is paired with an Agent Foundry platform that lets customers build or customize agents through natural‑language prompts or API calls. By opening the platform to external developers, Manhattan creates a new subscription‑based revenue stream and deepens platform lock‑in, as customers can tailor AI behavior to their own processes rather than rely on a one‑size‑fits‑all solution.
Early adopters are already reporting tangible gains. Eaton, for example, integrated the Wave Coordinator and Labor Agents into its warehouse‑management system and noted a 15‑percent increase in deployment efficiency and a 10‑percent reduction in fulfillment cycle time, illustrating the operational value of the new agents.
The AI Agent Workforce positions Manhattan to capture a larger share of the $33 billion supply‑chain‑management market. By embedding generative‑AI capabilities directly into its core platform, the company differentiates itself from competitors such as SAP, Oracle, and Infor, and signals a strategic pivot toward autonomous, data‑driven operations that are in high demand across the industry.
Management emphasized the strategic importance of the launch. EVP & CTO Sanjeev Siotia said the agents “represent a fundamental shift in how efficiently retail and supply‑chain solutions function,” and that the Agent Foundry “will not be constrained by vendor development cycles.” The company expects the new offering to accelerate subscription growth and improve customer retention as firms seek deeper AI integration.
The announcement underscores Manhattan’s broader AI strategy, which focuses on embedding large‑language‑model‑driven agents into existing solutions rather than offering standalone chatbots. This approach aligns with industry trends toward agentic AI and positions the company to capture higher‑margin, recurring revenue from its growing cloud‑subscription base.
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