Dynamic pricing solution for Dr.Max​

36%

Revenue increase in POC country

12%

Proven long-term revenue growth when rolled out to other markets

Higher customer retention

 due to the fair prices

DataSentics

Thanks to the DataSentics team’s technical expertise and good collaboration, we successfully implemented an AI-powered dynamic pricing solution that optimizes  prices in real time. The rollout of the dynamic pricing solution across multiple markets has driven significant revenue growth and improved our market responsiveness.

Iva GergelovaGroup Pricing Specialist, Dr.Max

About the Client

Dr.Max is the second largest pharmacy chain in Europe, operating in 8 countries. It sells more than 1,300,000 products every day. They are dedicated to improving healthcare by ensuring access to a wide range of medicines and services.

The Challenge

Dr.Max faced the challenge of replacing its current dynamic pricing solution, which lacked the ability to take into account key factors such as competitor pricing, market share and product characteristics. A major technical hurdle was low price volatility - historically only a few price points per product have been observed. As a result, traditional models tend to undervalue price as a key factor and struggle with predictions for untested price points. As a result, they may exhibit non-monotonicity problems or incorrectly assume constant demand even at higher prices, making accurate pricing decisions difficult.

The Solution

Our solution leverages advanced machine learning to integrate key factors such as market dynamics and competitor pricing, enabling a more effective and data-driven pricing strategy. The Dynamic Pricing Engine is built on the Databricks data platform and hosted in Microsoft Azure, ensuring scalability, security, and high performance.

The Benefits 

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Key contacts

Jan Císař - DataSentics

Jan Císař

Vertical AI Solutions PreSales Lead

Fanny Frafer - DataSentics

Fanny Frafer

Vertical AI Solutions France Lead