Revenue Growth Management AI

The Next Era of Autonomous Commercial
Decision-Making

Q: How can commercial strategies be tested without market risk?

Strategies can be tested by simulating changes before rollout, enabling impact assessment in minutes. Multiple scenarios can be compared side by side while accounting for market conditions and competitor moves.

Q: Does Buynomics support business wargaming for revenue growth decisions?

Yes. Teams can model competitive dynamics and shopper responses to changes across pricing, portfolio, promotions, and distribution, including new launches or delistings, to understand switching and category impact.

Q: How does Buynomics enable AI-driven market scenario planning?

The platform uses Virtual Shoppers AI trained by integrating relevant manufacturer data sources to run simulations for pricing, portfolio, promotions, distribution, and trade term adjustments.

Q: What does the implementation timeline for Buynomics look like?

Implementation can take 4 to 12 weeks for core categories depending on scope, data quality, and market complexity.

Built for the commercial team of the future: Combining Virtual Shoppers AI, a natural language interface, and agentic AI, the Buynomics platform makes autonomous commercial decision-making possible.

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2-4% profit impact*

Achieve up to 4% higher profit in your business by making more shopper-centric commercial decisions.

Up to 95% predictive accuracy*

Gain insights you can trust. Buynomics is the only solution that forecasts shopper behavior with up to 95% accuracy.

80% faster decision-making

Reduce the time spent on manual analysis by up to 80%. Integrate various data sources and get best-in-class predictive accuracy.

*depending on data quality & completeness

Move from executors to orchestrators

With Buynomics 3.0, your commercial team stops being an executor and becomes an orchestrator. The platform doesn't wait for you to ask; it validates your hypothesis and automatically guides your next decision. Just by chatting with AI.

Ask and let the platform do the work

Buynomics combines agent-based simulations, Virtual Shoppers AI, agentic AI, and a natural language interface into a platform that doesn't wait to be asked; it validates your hypotheses and guides your next decision.
Set your targets and constraints, ask the question, and the platform finds the best scenario, validates it with Virtual Shoppers AI, and delivers a recommendation with the reasoning behind it.

Optimize revenue levers holistically, rooted in actual shopper behavior

Simulate the impact of decisions with unmatched precision using Buynomics’ Virtual Shoppers AI. Understand what your shopper will do.
Evaluate changes to pricing, portfolio, promotions, mix, & trade terms, taking into account competition and cross effects.

Tie every RGM decision directly to your P&L

Start from your do-nothing baseline as a statistically grounded projection. Build your RGM action calendar on top, simulate the combined impact, and tie it back to your P&L.
Build custom KPIs and create reports with interactive charts, pivot tables, and scorecards. Analyze everything from high-level trends down to granular 1-net, 3-net, or 5-net P&L reporting.

Understand promotional ROI before you spend a single dollar

Ground your promotion modeling in agent-based simulations, not assumptions. See promotional ROI and portfolio cannibalization before you commit a single dollar.

Accurately attribute the precise ROI of every campaign to uncover how your trade spend truly affects your brand, portfolio, and the broader category. The Buynomics platform calculates impact at four levels, so you never miss the hidden costs of a promotion.

Visualize shopper movement to see exactly how consumers navigate and switch across your portfolio and category, allowing you to accurately attribute P&L impact and maximize the ROI of every campaign.

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Buynomics’ Virtual Shoppers AI was developed to serve as the foundation for all questions of customer insights and revenue management

Replicate Shopper Decisions with Precision

The Virtual Shoppers AI creates Virtual Shoppers that replicate shopper buying behavior—accounting for cannibalization and interactions with competitor products.

Leverage All Your Data Sources

Virtual Shoppers AI technology can integrate all your relevant data, from sales and transaction data to customer surveys and behavioral pricing insights, to account for changes in preferences over time or to understand the ongoing influence of external effects (e.g., inflation) on purchasing decisions.

Up and Running in Less Than 3 Months

Enjoy a world-class onboarding experience: After 3 months, you'll have an AI-powered platform that shows you exactly what your customers will buy. With less than a week of internal resources, guided by a dedicated Customer Success Manager.

What Our Customers Say About Buynomics

"We’re using the Buynomics platform internally to war game and investigate different scenarios if competitors stepped up, helping us understand what that would mean for us, the category, and the retailer."

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Emma Swiers

Executive Manager NRM at Dr. Oetker

"Buynomics stands out for its accuracy, speed of analysis, and rapid implementation. We deployed it in just eight weeks - far faster than other tools that often take three months or more."

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Andrea Pezzillo

Head of Category and RGM at Danone

"With Buynomics, you can build and compare multiple scenarios side by side, making it easy to assess changes and your current situation."

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Michael Giambra

Head of Commercial Strategy at pladis

FAQs

How does Buynomics support revenue optimization with predictive analytics?

In the Buynomics platform, RGM teams can run simulations to assess the impact of pricing changes, portfolio decisions (such as new product launches, product delistings, or updates to existing products), promotion optimization, distribution changes, and trade term adjustments.

These simulations are powered by the Virtual Shoppers AI model, which is trained on the manufacturer's data. The model breaks products down into value drivers and attributes that influence purchase decisions, while accounting for market context and competitive dynamics.

The Virtual Shoppers AI can evaluate many scenarios in minutes and estimate the willingness-to-pay (WTP) distribution across key value drivers. This enables predictive analytics of shopper behavior, helping teams to understand what is likely to happen when a change is made.

As a result, commercial and RGM teams can forecast outcomes before execution and optimize decisions across all revenue levers, rather than optimizing each lever in isolation.

How can commercial strategies be tested without market risk?

Commercial and RGM strategies can be tested by simulating changes in the Buynomics software before rollout, enabling impact assessment in minutes. Buynomics allows teams to test pricing changes, portfolio decisions (such as new product launches, product delistings, or updates to existing products), promotion optimization, distribution changes, and trade term adjustments in a risk-free environment. The Virtual Shoppers AI model also takes into account market conditions and competitor moves. Multiple scenarios can be analyzed and compared side by side, making it easier to understand trade-offs and select the strongest strategy, while minimizing risk.

Does Buynomics support business wargaming for revenue growth decisions?

Yes. Buynomics supports business wargaming. Commercial and RGM teams can model competitive dynamics and shopper responses to pricing, portfolio, promotion, and distribution changes, as well as the introduction of a new product or the removal of an existing one. The software, powered by Virtual Shoppers AI, enables teams to evaluate how these changes drive shoppers to switch from their own products to competitors' at the portfolio and category levels. This provides visibility for commercial and RGM teams into what shoppers would do and allows them to make better decisions faster.

How does Buynomics enable AI-driven market scenario planning?

Buynomics software is powered by Virtual Shoppers AI. The model is trained by integrating different data sources from the manufacturer and then enables commercial and RGM teams to run simulations to assess the impact of pricing changes, portfolio decisions (such as new product launches, product delistings, or updates to existing products), promotion optimization, distribution changes, and trade term adjustments.

What does the implementation timeline for Buynomics look like?