Beroe launched two new capabilities to supercharge its AI-native negotiation platform, nnamu.
The guided Total Value of Ownership (TVO) Configurator and Suitability Diagnostics tool close the gap between procurement intelligence and commercial outcomes, making advanced negotiation methodologies accessible to every team member, on every project.
“For nearly 20 years, Beroe has worked to level the playing field between procurement teams and their suppliers. The Total Value of Ownership (TVO) Configurator is the next step in that mission. Every aspect of a supplier’s proposal can be quantified, each supplier’s quotes can be compared holistically, and procurement teams can consequently make a decision that is optimal, today and for the foreseeable future,” says Vel Dhinagaravel, founder and CEO of Beroe.
Key takeaways:
· nnamu combines AI, game theory, and proprietary market intelligence to help procurement teams design and execute smarter sourcing events.
· The TVO Configurator is a guided, in-platform module that allows procurement teams to build a complete total value of ownership model. It ensures non-price factors (e.g. service levels, product characteristics, or contractual terms) are baked into holistic sourcing decisions and are made negotiable. Through a structured question flow, it translates every relevant non-price difference between suppliers into a monetary bonus or penalty, ready to deploy in the negotiation itself.
· The TVO Configurator enables set-up time drops from days to 15–20 minutes and the audit trail is built in.
· The Suitability Diagnostics tool decides what type of negotiation to plan for a category or a specific sourcing event within a category. Users select their category, review a market intelligence-driven suitability score across five factors (supplier landscape, spend characteristics, category type, price stability, and margin structure), and answer eight project-specific questions. The tool combines Beroe’s proprietary data with the buyer’s context to rank negotiation types from best to worst fit, with detailed guidance on implementation, benefits, and risks.
