Buynomics 3.0 - The Next Era of Autonomous Commercial Decision-Making

Introducing Buynomics 3.0. The platform that doesn't wait to be asked.

For a long time, RGM and commercial teams have operated as highly skilled executors. We built Buynomics to change that. And today, we're taking the biggest step yet, with Buynomics 3.0.

With Buynomics 3.0, commercial and RGM teams move away from being solely executors and become orchestrators of strategy.

Hear from our founders on Buynomics 3.0

What's New In Buynomics 3.0?

• Discoveries
• Agentic RGM
• Gross-to-net impact
• Trade Promotion Optimization

From "what if?" to "what's best" in minutes

The defining capability of Buynomics 3.0 is prescriptive AI: the ability not only to simulate scenarios but also to automatically search for the best possible scenario based on your targets and constraints.

Ask the Buynomics platform a question like "Which commercial actions within my general strategy can I use to hit my target," and rather than returning a blank canvas, the platform goes to work. It validates differentiated actions with your Virtual Shoppers model, applies real-world strategies & constraints, and surfaces a clear, actionable recommendation along with the reasoning behind it.

Most platforms give you better ways to analyze. Buynomics 3.0 gives you the answer.

Today, many companies make decisions with spreadsheets and tools that can only look backward. Tools that miss the most important part, which is how individual shoppers actually make decisions. The result? Companies leave millions on the table.

Sebastian Baier

Buynomics Co-founder

Discoveries: Prescriptive AI for every RGM lever

The prescriptive engine powers a new generation of Discoveries: purpose-built automations for the three core levers every commercial team manages.

Pricing

Input your targets and constraints, margin requirements, and competitive positioning. Buynomics' Pricing Decision Guide identifies the best-performing pricing strategies to reach your goals. No manual scenario building. No guesswork about which direction to go. Just a clear answer, grounded in your actual market data.

PPA

Pack-price architecture decisions involve enormous complexity. Thousands of combinations of product sizes, pricing levels, and portfolio configurations, each with different cannibalization dynamics and margin implications. PPA Discoveries automatically tests the full space and recommends the most commercially viable portfolio opportunities without cannibalizing your existing range.

Promotions

Trade promotion is one of the most resource-intensive and uncertain areas of commercial investment. Input your target products, trade budget, promotional windows, and approved mechanics. Promo Discoveries determines which SKU should run which mechanic, at what depth, at what time, and at which point of sale, optimized against your actual objectives, not rules of thumb.

Together, prescriptive capabilities don't replace commercial judgment. They focus it. Teams spend less time asking questions and more time strategizing.

The future of agentic RGM: Move from executors to orchestrators

What makes Buynomics 3.0 fundamentally different isn't just the prescriptive layer; it's the agentic one. This layer means Buynomics 3.0 doesn’t wait to be asked; it validates the hypothesis and guides the next decision. So your team's time goes where it matters most: owning the strategy.

 

Traditional methods like price elasticities or customer segmentations come from a very different time, when you had to solve problems manually, with paper and pencil only. The methods from that time are elegant and efficient, but they don’t benefit from large data samples and faster analytics.

Ingo Reinhardt

Buynomics Co-founder

Full gross-to-net impact, before you commit

Good commercial decisions require seeing the full picture and the complete P&L effect.

Buynomics 3.0 gives teams the ability to start from a statistically grounded do-nothing baseline, build an RGM action calendar on top, simulate the combined impact of all planned actions, and tie the results back to gross-to-net P&L. That means promotional spend, pricing moves, and portfolio changes are all evaluated together, not in isolation.

For the first time, teams can walk into an investment decision knowing, not estimating, what the full financial effect will be before they commit.

Smarter promotion management, grounded in simulation

Buynomics' Trade Promotion Optimization solution takes promotion management out of the realm of assumptions and into the realm of verified predictions. Instead of modeling promotions based on historical averages or best-guess elasticities, every scenario runs through an agent-based simulation that models how real shoppers will respond at the SKU level across channels.

The result: promotional ROI projections and portfolio cannibalization estimates that commercial teams can rely on. See what happens before you sign the plan. Adjust before you spend.

Analytics that go the full distance

Autonomous decision-making is only valuable if teams can understand what's happening and communicate it clearly. Buynomics 3.0 covers the full analytics spectrum:

Descriptive: Understand what happened. Analyze performance across levers, markets, and time periods with a reporting layer built for how commercial teams actually think about their business.

Predictive: Simulate what will happen. Run forward-looking scenarios across pricing, PPA, promotions, and trade terms, all grounded in the same Virtual Shoppers model.

Prescriptive: Know your next best move. Move beyond exploration to optimization, with Decision Guide that automatically surface the best path forward for each lever.

Custom KPIs, interactive charts, pivot tables, and scorecards give teams everything from high-level trend analysis down to granular 1-net, 3-net, and 5-net P&L reporting, tailored to your business's actual structure.

Why the platform matters

If AI is available everywhere, why does the underlying platform matter?

Because intelligence without context is just computation. And in commercial decision-making, context is everything.

Virtual Shoppers AI reflects real shopper behavior with up to 95% accuracy*. It isn't a statistical model fitted to historical data. It's an agent-based simulation of how actual shoppers in your category make choices across price points, pack sizes, promotions, and competitive alternatives. When the prescriptive engine tests thousands of scenarios, it's testing them against the most accurate available model of consumer behavior. That's the difference between an optimization that looks good on paper and one that holds up in the market.

Every recommendation Buynomics 3.0 surfaces inherits that foundation. The prescriptive layer is built on predictive accuracy, validated across hundreds of markets and categories. Teams aren't just getting faster answers, they're getting better ones.

*depending on data quality and completeness

Built for the commercial team of the future

The shift to agentic AI in commercial decision-making isn't a distant possibility. It's happening now, in the same way that analytical tools replaced gut-feel pricing a decade ago.

The question isn't whether autonomous commercial decision-making will become the standard. It's whether your team will be set up to lead it or catch up to it.

Buynomics  3.0 is the platform that makes that shift possible today, with the teams you already have, on the data you already own.

Welcome to autonomous commercial decision-making. Book a demo for more information.