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Based in Cologne, Germany, Buynomics develops an AI-powered SaaS platform for revenue growth management that simulates real-world shopper behavior to optimize enterprise pricing, promotions, and product portfolios. The system integrates diverse data sources grounded in behavioral economics to predict consumer reactions, replacing fragmented analyses with precise insights that can drive gross profit increases of up to 4%. The company provides its predictive commercial software to major multinational corporations across the consumer packaged goods and telecommunications sectors, securing enterprise contracts with recognizable brands like Danone, Unilever, L'Oreal, and Vodafone. Operating across more than 25 countries with a workforce of over 70 employees, the firm has raised $32.6 million in total capital, including a recent $30 million Series B financing round led by Forestay Capital alongside Insight Partners. Buynomics was founded in 2018 by Ingo Reinhardt and Sebastian Baier.
Buynomics has raised $43.0M across 2 funding rounds.
Buynomics has raised $43.0M in total across 2 funding rounds.
Buynomics has raised $43.0M in total across 2 funding rounds.
Buynomics's investors include Forestay Capital, Fyrefly VC, Tomahawk.VC, Insight Partners.
Buynomics has raised $43.0M across 2 funding rounds. Most recently, it raised $30.0M Series B in March 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2025 | $30M Series B | Forestay Capital | Fyrefly VC, Tomahawk.vc | Announced |
| Nov 1, 2022 | $13M Series A | Insight Partners | Fyrefly VC, Tomahawk.vc | Announced |
Buynomics is a Germany-based technology company offering an end-to-end revenue optimization platform powered by AI-driven Virtual Shopper technology. It helps enterprises in consumer packaged goods (CPG), retail, telecommunications, and consumer software optimize pricing, promotions, product portfolios, and trade terms by simulating customer behavior with 95% predictive accuracy, delivering 2-4% profit impact and 80% faster decision-making.[1][2][3][4]
The SaaS solution serves revenue growth management (RGM) teams at large enterprises, solving the problem of complex, data-siloed commercial decisions by providing a holistic view of offerings across channels. Users can test scenarios—like price changes, product additions, or competitor moves—in real-time, accounting for cannibalization, cross-effects, and KPIs, with algorithmic recommendations for optimal mixes.[2][3] Buynomics has raised $13.7M in funding, employs around 50 people, and generates approximately $10.5M in revenue, showing steady growth.[1]
Buynomics was founded by Sebastian (full name not specified in sources), who previously served as a Director at Simon-Kucher & Partners, a leading pricing consultancy, where he advised international companies on pricing and product strategies. Holding a PhD in Physics from the University of Heidelberg and Master's degrees in Physics and Economics, Sebastian leveraged his expertise in data-driven optimization to launch Buynomics.[4]
The idea emerged from the need to replace tedious spreadsheets, unreliable focus groups, and fragmented analyses with precise AI simulations of shopper behavior. Early traction likely built on this foundation, attracting $13.7M in total funding across one round, with backing from investors like Insight Partners, enabling platform development and enterprise adoption in RGM-heavy industries.[1][5] Key executives include COO Anton Von Lampe, VP of Revenue Mario Koenigsfeld, and VP Engineering Piotr Malinski, emphasizing a collaborative, impact-focused team culture.[4]
Buynomics stands out in the revenue optimization space through these key strengths:
Buynomics rides the wave of AI-powered revenue growth management (RGM), a trend exploding as enterprises grapple with volatile markets, e-commerce proliferation, and data overload in CPG and retail. Its timing aligns perfectly with advancements in agent-based simulations and machine learning, enabling precise predictions amid post-pandemic shifts like channel fragmentation and inflation-driven pricing pressures.[1][3][4]
Market forces favoring Buynomics include rising demand for shopper-centric tools—95% predictive accuracy addresses the limitations of legacy BI software—and the push for sustainable profitability over volume growth. By influencing RGM at scale, it shapes the ecosystem: clients optimize portfolios faster, reducing waste and informing industry standards for AI in commercial planning, while competitors lag in holistic, real-time simulation capabilities.[2][3]
Buynomics is poised for accelerated growth, expanding its Virtual Shopper AI to more levers like channel mix and trade terms, potentially deepening penetration in CPG/telecom while entering adjacent sectors. Trends like multimodal AI integration and real-time edge computing will enhance its simulations, amplifying 2-4% profit impacts amid economic uncertainty.[3][4]
Its influence may evolve from niche optimizer to RGM platform leader, especially with Insight Partners' scaling support, fostering an ecosystem of data-driven enterprises. As the go-to for AI that turns customer insights into revenue reality, Buynomics exemplifies how precision technology unlocks sustainable profits in a complex commercial world.[1][5]
