Personalized food recommendations play a central role in powering the next generation e-commerce, smart kitchen and mHealth applications; ultimately to drive smart purchasing and increase consumer satisfaction.
We digitize flavor to have the smartest & most accurate recommender for food. Foodpairing’s flavor.id® combines the scientific aromatic profile and nutritional values of ingredients, with consumer flavor preferences. This makes us unique!
By state-of-the-art scientific analysis
data analysis on food specific metrics
aided by machine learning
description, categorization, nutrition,
origin, seasonality, cuisine, …
Data science at work
based on aroma interaction
unique, new recipes
with quantified ingredients
- different languages
- combo deals
- explanation why they match
- recipes including quantities
- alternative ingredients to replace
- ingredients in recipe
Happy using our API
case Consumer activation
Power you smart kitchen application with recipe and pairings advise for the next generation creative consumer.
E-grocery / E-commerce
Increase your online sales with smart recommendations starting from the flavor preferences of your customer.
Move towards a more healthier diet and goals with smart recommendations starting from the flavor preferences of your customer.