The world's first
prescriptive analytics
platform for product success.
The Foodpairing platform reimagines and automates the food, beverage, and personal care product development process from the insights, ideation, formulation, and launch phases all the way to final product activation.
It empowers your branding, marketing, R&D, management, and sales teams to achieve unprecedented success and growth in the packaged goods sector.
Faites vos jeux!
A wise CEO once said that innovating and developing products is like gambling: you never know if you are going to win but you certainly know that you will lose a large sum of money.
The Foodpairing platform reduces product development risk by identifying the exact future winners in your markets. You do not need to bother with confusing and time-consuming consumer panels, inefficient brainstorm sessions, or endless concept testing. Once a set of data models is trained for your business, next-gen product concepts are created immediately and automatically — that is the power of prescriptive analytics.
Solutions across your entire value chain.
The Foodpairing® platform delivers 11 interconnected solutions in 5 areas.
Two key solutions form the focus of every client collaboration:
- Core product upgrades.
- Line-extensions and product innovations.
TRENDS &
CONSUMER
INSIGHTS
Solutions
Trend & consumer insights.
Market insights.
STRATEGY &
PORTFOLIO
MANAGEMENT
Solutions
Core product insights
Portfolio insights & white spaces
Competitor product insights
IDEATION &
PRODUCT
DEVELOPMENT
Solutions
Core product upgrades
Line-extension & new product innovation
Consumer choice modelling
LAUNCH &
ACTIVATION
Solutions
Product navigation & recommendation for e-comm
Food & drinks activation
sales &
market
development
Solutions
Market development
The core of our platform
The platforms core is built on a web of machine learning algorithms and data sets that collect and analyze disparate pieces of data. It is based on thousands of readily available data sources, millions of data points and many algorithms, with more being built. It demonstrates network effects—the predictive & prescriptive power grows as we add more data.