nnamu
Most sourcing events are still managed with Excel, basic e-auctions, or gut feel, especially when teams are stretched thin or lack advanced negotiation expertise. Game theory delivers better outcomes, but it’s traditionally been accessible only through costly consultants and complex models, making it difficult for teams to adopt at scale.
With nnamu, Beroe brings the power of game theory and the scale of AI into everyday sourcing. nnamu recommends the best negotiation strategy, simulates supplier behavior, and runs autonomous, multi-stage negotiations, all within a structured, transparent workflow that buyers control. No steep learning curve, no external consultants – just faster, smarter sourcing that consistently delivers 3–5% more value across all spend types.
Strategy Recommendations
Recommends the best negotiation strategy and parameters, based on 3000+ real negotiations and over €400 Billion in verified sourcing data.
Autonomous Negotiation Execution
Executes multi-stage negotiations with speed and precision, while keeping buyers in control every step of the way.
Dual Engine: AI + Game Theory
Combines AI and game theory to simulate supplier behavior, optimize trade-offs, and deliver superior outcomes.
3-5%
Additional savings over traditional sourcing tools.
2x
Faster sourcing cycles.
10-15%
Total value savings, compared to just 6-9% with classic e-auctions.
Frequently asked question (FAQs)
nnamu is an AI-powered autonomous sourcing negotiation platform that applies game theory to multi-stage procurement negotiations, all within a structured, transparent workflow.
Based on €400B+ in verified negotiation data, nnamu runs structured, transparent negotiations that consistently deliver 3–5% additional savings across spend categories.
It supports multi-round, multi-parameter sourcing events across direct and indirect spend.
nnamu is more advanced than e-auction suites while being easy to use – it brings game theory and AI into every-day enterprise negotiations, blending advanced auctions and traditional negotiations into multi-stage events with AI learning during (and after) events, delivering better outcomes.
Structured formats and full transparency mean suppliers know the rules, trust the process, and are more engaged, resulting in healthier competition and better outcomes.
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