Buynomics Receives Three 2026 POI Best-in-Class Category Distinctions

Buynomics has received three 2026 Best-in-Class Category Distinctions from the Promotion
Optimization Institute (POI) in the POI 2026 Consumer Goods Enterprise Planning & Retail
Execution Vendor Panorama.

The POI Best-in-Class Category Distinctions highlight functionality differentiators that POI
considers critical to CPG manufacturers. In 2026, Buynomics has been recognized in three
categories:

● Artificial Intelligence / Machine Learning
● Consumer Data & Insights Utilization
● RGM Bespoke Solution

Buynomics has achieved the Artificial Intelligence / Machine Learning and RGM Bespoke
Solution category distinctions for three consecutive years.

RGM Bespoke Solution

Buynomics provides the operating system for commercial decisions, offering global enterprises
in CPG, Telco, and beyond a unified platform to optimize all five RGM levers: pricing, PPA,
promotion, mix, and trade terms.

Artificial Intelligence / Machine Learning

Grounded in behavioral economics and decision theory, the Buynomics model creates Virtual
Shoppers that replicate shopper buying behavior, accounting for cannibalization and
interactions with competitor products. Trained on each organization's own data, each Virtual
Shopper is equipped with an individual set of preferences for different brands, product sizes,
and other product attributes.

Consumer Data & Insights Utilization

The model is trained using each organization's data, with accuracy improving as more data is
incorporated over time. Data sources may include transactional data, surveys, conjoint studies,
and expert judgment. The model identifies the willingness-to-pay (WTP) distribution for product
value drivers and, through data updates, continuously learns and adapts to different market
factors.

Buynomics 3.0

The defining capability of Buynomics 3.0, launched in June 2026, is prescriptive AI: the ability to
simulate scenarios and automatically search for the best possible scenario based on each
team's targets and constraints. The prescriptive engine powers a new generation of
Discoveries, purpose-built automations for the three core levers every commercial team
manages: pricing, PPA, and promotions.

Buynomics 3.0 gives teams the ability to start from a statistically grounded do-nothing baseline,
build an RGM action calendar on top of it, simulate the combined impact of all planned actions,
and tie the results back to the gross-to-net P&L.  Read the full Buynomics 3.0 release here.

These distinctions reflect the work our team has put into making Virtual Shoppers AI a model RGM teams can rely on. With Buynomics 3.0, our focus is putting that intelligence in the hands of every RGM user, so better decisions reach the market faster.

Sebastian Baier

Buynomics Co-founder

To access the full POI 2026 Enterprise Planning & Retail Execution Vendor Panorama, visit the POI website.

About Buynomics

Buynomics is an AI-powered SaaS platform that helps businesses optimize pricing, promotions,
and portfolio strategies through large-scale consumer simulations. Founded in 2018 by Dr. Ingo
Reinhardt and Dr. Sebastian Baier, Buynomics is headquartered in Cologne, Germany, with a
growing team of over 70 professionals from 14 nationalities and serves customers in over 25
countries worldwide.

About POI
The Promotion Optimization Institute (POI) brings together manufacturers, retailers, solution
providers, analysts, academics, and other consumer goods industry leaders to share knowledge,
network, and drive innovation. POI's Best-in-Class Awards recognize vendors whose innovative
functionality delivers value to CPG manufacturers and spotlight specific capabilities that drive
success in today’s marketplace.