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Buynomics - Virtual Shoppers AI Platform

بواسطة Buynomics

Predict shopper behavior with Buynomics and make data-driven commercial decisions confidently.

Every commercial decision — pricing, portfolio, promotions — is ultimately a question about how shoppers will react. Most companies answer those questions with elasticity models, conjoint studies, and Excel logic that operate in isolation and miss the full complexity of the market.

Buynomics changes that. Our Virtual Shoppers AI replicates millions of individual shopper decisions in a virtual environment, so companies can evaluate commercial decisions before taking them. Pricing, portfolio, and promotions — optimized together, including cannibalization, from one source of truth.


What the platform enables:

  • Base Forecast: an agreed-upon baseline of what happens if nothing changes, resolving the usual fights over assumptions before the real conversation begins.
  • Scenarios & Actions: every commercial decision planned for the next 12 months in one place — what you're doing, when, in which channel, with what expected effect.
  • Discovery: test hundreds of scenarios in an afternoon instead of three or four before a major decision.
  • Strategy Module: pricing and portfolio strategy embedded in the tools where decisions are actually made — not locked in a PowerPoint.
  • Optimization: find the best commercial configuration given your targets and guardrails.
  • Reports: a diagnostic foundation to see where the real opportunities are before any decision is made.


Results across our customer base:

  • Up to 95% predictive accuracy
  • Up to 80% reduction in commercial analysis time
  • Measurable top-line impact within the first 90 days of deployment


Buynomics serves revenue growth management, pricing, portfolio, and category teams at global CPG, retail, and telco companies — integrating with all relevant data sources (e.g., sell-out, sell-in, product data).

Every decision runs against the same calibrated model of virtual shoppers with individual behaviour, which let's teams understand how their shoppers will decide at the shelf in any given scenario .

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