Pallet, which builds AI systems for the physical economy, has launched Signals, a tool that feeds live external events into the decisions of its AI agents. The San Francisco company announced it on October 20, 2026. Signals links disruptions such as tariffs, material shortages, port delays, and weather to a company's operational data and institutional knowledge. It traces how a change in one area affects customers, orders, inventory, transportation, and capacity, and updates its reasoning as conditions change. It works across systems including ERPs, AS/400, email, and web portals. Companies keep control of the AI stack and of what agents can access and execute. Signals is available to Pallet customers now. It follows Atlas, an AI layer that maps supply chain connections.

Pallet, an AI-powered unified retail management platform, is helping India's food and beverage sector tackle rising operational costs and margin pressure. The company claims its integrated system can reduce operational expenditure by up to 20% by eliminating inefficiencies from fragmented technology stacks. Founded by Santosh Bojarajan, Pallet consolidates front-end logistics with back-end compliance and inventory management into a single platform. The system addresses what Bojarajan identifies as a 15-20% margin loss caused by operational friction in traditional restaurant technology setups. The platform supports hybrid logistics models, enabling brands to manage third-party aggregators, hyperlocal delivery partners and proprietary fleets simultaneously. Clients include Dum Durusst and Bombay Kulfi Ice Creams, with the platform offering real-time profitability tracking down to square-foot level analysis.