Beroe and Kearney launched Beroe MAX powered by Kearney, an AI-native, always-on decision engine designed to make procurement continuously competitive.
MAX closes the gap between intelligence and decisive action, providing a unified view across cost, risk, and ESG.
"The processes procurement relies on today were built for a world that no longer exists. Teams have always had access to market data, but what they have lacked is a system that connects that data to their specific spend, applies procurement logic, and tells them where to act, continuously. MAX puts that capability into the hands of every category manager, not just the ones in the room with a consultant, enabling decisions and outcomes that were previously impossible," says Vel Dhinagaravel, founder and CEO, Beroe.
"CPOs are being asked to deliver competitive advantage in markets that move in hours, not quarters. MAX gives procurement leaders the real-time visibility and prioritized recommendations they need to anticipate shifts, focus where it matters, and move decisively. This is not a faster version of the function procurement has always been. It is a different function, one that stops waiting to be asked. It moves from responding to anticipating, from episodic to continuous. That is what it means to compete," adds Suketu Gandhi, co-leader of global strategic operations, Kearney.
Key takeaways:
· Built on a neurosymbolic framework that leverages best-of-breed agentic AI, MAX sits as a connecting layer between data and execution systems.
· It continuously combines Beroe's global market intelligence and specialist third-party data via a data marketplace, with Kearney's proprietary consulting methodology, benchmarks, and decision frameworks, applied against a user's own spend, contracts, and supplier base. The result is recommendations surfaced in the organization's specific context, as soon as opportunities arise.
· When a tariff is imposed, a commodity price spikes, or a supplier risk rating shifts, MAX reassesses affected categories and flags the decisions that need attention before teams have to go looking for them.
