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How Pallet Signals Transforms Physical Economy Operations with AI

Signals brings live external events into agent decision-making by connecting what is happening in the world with an enterprise’s operational data and institutional knowledge.

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Pallet announced Signals, a new capability that brings live external events into agent decision-making by connecting what is happening in the world with an enterprise’s operational data and institutional knowledge.

“The physical economy runs on an enormous amount of knowledge and expertise, much of it still trapped in legacy systems and in people’s heads,” says Sushanth Raman, founder and CEO of Pallet. “AI has the potential to unlock that capacity and fundamentally change how the world produces and moves the food, products, and materials we rely on every day. Signals is another step toward making that possible.”

Key takeaways:

·        Connects real-world events, including tariffs, material shortages, weather, and disruptions, with the data and knowledge to understand what they mean for a specific business.

·        Works across the systems where operations run, from modern APIs to ERPs, TMSs, WMSs, AS/400, remote desktops, email, and web portals, allowing agents to reason across fragmented representations of customers, orders, inventory, shipments, and capacity.

·        Updates reasoning and response as new information arrives and conditions change. Traces how a change in one area can affect customers, orders, inventory, transportation, facilities, and capacity across the operation.

·        Keeps operational context, persistent memory, and the AI stack under the enterprise’s control, with governance over what agents can access, decide, and execute.

 

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