Prescriptive analytics
for Food & Beverage

Fast-changing consumer behavior underscores the need to leverage big data, analytics, and artificial intelligence in the Fast-Moving Consumer Goods (FMCG) space, and even more so in the food and beverage sector.

The majority of product development in F&B companies follows an outdated model, where disconnected 3rd party datasets and insights are applied within a stage/gate process. This way of innovating simply isn’t feasible or profitable anymore, due to the speed of market trend changes. The right type of alternative is needed.

Category coverage

Group-2168@2x
Energy Drinks
Group-2180@2x
Snacks
Group-2205@2x
Dairy
Group-2225@2x
Ready-made meals
Group-2237@2x
Cereal
Group-2250@2x
Plant-based
Group-2260@2x
Coffee & tea
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Confectionery

The Foodpairing advantage for Food & Beverage businesses

REDUCE PRODUCT DEVELOPMENT TIME AND SPEED UP TIME-TO-MARKET
BENEFIT 01

The Foodpairing solution offers the opportunity to quickly and efficiently test an unlimited number of ingredient, flavor, and aroma variations before deciding on the winning combination.

This is a much more efficient and result-oriented way to conceive innovative and successful final products.

VALIDATE PRODUCTS EARLY IN THE INNOVATION CYCLE
BENEFIT 02

Leveraging consumer preference data through applied AI and prescriptive analytics offers a sizable opportunity for the food & beverage industry to validate proofs of concept early in the innovation cycle, saving time, effort, and resources.

REDUCE RISK BY MAKING BETTER-INFORMED DECISIONS
BENEFIT 03
  • Innovation is a risky business, especially in the food & beverage industry, where product success chance ranges between 10%-30%.
  • New product development (NPD) takes between 12-24 months, and multiple stakeholders are involved in the decision-making process.
  • Moreover, the large volume of ingredient data available today makes it impossible to make the right product bets solely based on a gut feeling, past performance, or business acumen.

This is where the Foodpairing platform comes in – we help you make better informed decisions about the future of your product portfolio.

 

 

 

Kellogg’s

The Pringles NPD team was interested in launching new Pringles flavors that pair with certain beverages. 

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Unilever

Unilever Knorr aims to have 50% of its product portfolio plant-based by 2025. Foodpairing supported the Knorr product development team and development chefs with aroma and science-based insights.

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Kraft Heinz / Mondelez

Kraft Heinz came up to us to look for innovative solutions for Philadelphia cheese. The Milka product team was on search for new ways to stretch the brand and bring new customers in.

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Danone

The Alpro marketing team wanted to activate its loyal core customer base and increase traction and online engagement on their website.

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ABInBev

AB InBev and Foodpairing partnered to increase sales by positioning their global flagship brand Leffe in "the aperitif moment".

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How AI Can Transform Customer Centricity in NPD

Expanding To Global Markets With Digital Twin Technology

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Sam Beelprez

Head of Data, Analytics & Social Listening - Europe @ AB InBev
With Foodpairing, we were able to make our NPD process faster, cheaper and better. Faster because we are able to pick up trends in the market quicker and speed out go-to-market strategy. Cheaper because we are able to scale the amount of tests and concepts to test. Better because we can take into account a lot more different variables using data analytics and we don't have the bias that people have when they make custom decisions.