"In terms of speed, I was quite impressed because we then—practically immediately—got the estimations that we needed."
Head of PRGM and Commercial Strategy at Danone Germany
"We can build our two or three scenarios, export it, and quickly evaluate the impact of the changes that we were going to make."
Head of Commercial Strategy at pladis
"It's really a shift in our thinking away from assumption-based and survey-based research to data-driven, consumer-led decision-making."
Senior Category Development Manager at Harry's
By simulating different pricing and promotion scenarios, a leading food and beverage company identified a strategy that led to a 20% increase in unit sales during the first three weeks.
By testing different pricing and PPA scenarios, a global snack company identified a 'Triple Win' strategy and a potential profit increase of more than 5%.
The skincare manufacturer was able to forecast the sales impact of price increases with >85% accuracy. This allowed them to make better pricing decisions, minimizing the risk of negative effects on sales volumes.
In just 12 weeks, the company was onboarded onto Buynomics' platform, integrated its data sources (sell-out, product data, and more), and started making decisions based on data.
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