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 into value drivers and attributes that influence purchase decisions, while factoring in 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?
We can implement Buynomics within 4-12 weeks for your core categories. The timeline depends on the scope of the project, the quality of the data, and the overall market complexity.