Beroe and Kearney have launched Beroe MAX, an AI-native decision engine designed to help procurement teams monitor markets, suppliers, contracts, and spending continuously. The platform connects Beroe’s market intelligence with Kearney’s consulting methodologies, benchmarks, and decision frameworks. Built on a neurosymbolic framework using agentic AI, the system is designed to surface procurement decisions as market conditions change.
The software targets challenges facing procurement leaders, including fast-moving markets, fragmented tools, and isolated data. While traditional category strategies are updated periodically, Beroe MAX continuously tracks tariffs, commodity price changes, and supplier risk ratings against an organization’s active spend, contracts, and supplier base. It then flags decisions tied to cost, risk, and ESG priorities.
A Strategic Advisory Council consisting of 13 global procurement organizations helped design the platform to reflect real supply chain complexity. The system changes the economics of category management by allowing teams to monitor all suppliers and categories more frequently. A member of the council noted that category managers are often forced to focus on only the largest spend areas, while the technology allows teams to cover every supplier daily.
The model brings specialized consulting logic directly to category managers rather than limiting it to traditional advisory engagements. Suketu Gandhi, Co-leader of Global Strategic Operations at Kearney, stated that the engine gives leaders the visibility to "anticipate shifts, focus where it matters, and move decisively." The platform will roll out to select enterprise customers over the coming months.