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Lindt • Buynomics

How Lindt & Sprüngli Moved Beyond Manual Scenario Modeling with Virtual Shoppers AI

To stay ahead, Lindt wanted to move beyond fragmented, manual tools and static analyses.



 

Founded in Zurich over 180 years ago, Lindt & Sprüngli is a global premium chocolate manufacturer with a portfolio that includes Lindt, Ghirardelli, Russell Stover, Caffarel, Hofbauer, and Küfferle. Operating in a highly dynamic and competitive confectionery market, Lindt must continuously navigate shifting shopper preferences, strong retailer power, and intense brand rivalry across markets and channels.

To stay ahead, Lindt wanted to move beyond fragmented, manual tools and static analyses. Scenario work was largely done in Excel, making it slow and difficult to model multiple pricing, promotion, and pack-price architecture options at scale. The team needed an integrated RGM solution that could reflect real shopper behavior, quantify trade-offs, and support faster, higher confidence decisions.

Lindt was looking for a platform that: 
  • Would help them move from Excel-based scenario modelling toward a faster, more scalable way to run and compare multiple what-if simulations in minutes.
  • Allow them to model pricing, promotions, and price-pack architecture in one place.
Results & Impact

"With Buynomics’ Virtual Shoppers AI, we have access to thousands of shoppers, their opinions, and their daily changing behaviour, which helps us unlock key business questions."

Hollistic Approach

“Buynomics is a one-stop shop for modeling pricing, promotion, and PPA. We can run multiple scenarios very quickly and get key outcomes, and the platform is extremely intuitive to use.”


Onboarding 

“Buynomics was great during the onboarding process. I liked that they did not go straight to solutionizing, but first took the time to understand our business, the market we operate in, and what we are trying to achieve.”

— Emily Dixon 

Senior Revenue Growth Manager 

Make better RGM decisions, faster!

Run agent-based simulations with Buynomics’ Virtual Shoppers AI to optimize all revenue levers, capturing cross-effects, cannibalization, and competition.

2-4%

Profit impact*

95%

Predictive Accuracy*

80%

Faster Decision-making

*Depending on data quality and completeness

Case Studies

pladis testimonial video

"Now we actually have a tool that is founded in data, that uses AI, that has all of the virtual shoppers that are out there being modeled around what the impact might be if we take these actions."

Mike Giambra

Head of Commercial Strategy, pladis 
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Harrys video testimonial

"We are able to see how consumers will react to changes we propose and the impact on competitors as well. So it's really a shift in our thinking—away from assumption-based and survey-based research to data-driven, consumer-led decision-making in our business."

Stephan Hibbit

Senior Category Development Manager, Harry's
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