Case Study: DataSentics achieves smarter product recommendations and up to 20% retailer revenue growth with Microsoft Azure

DataSentics enhances product recommendations for retailers powered by Azure Machine learning

Prague-headquartered DataSentics is an AI product studio that helps retailers personalize customer experiences. When online retailers Mall Group and HAVEX-auto needed to simplify product recommendations and bring the helpful, decision-making aspects of in‑store shopping online, they adopted DataSentics’ Betterfy platform to deliver clearer, more relevant product comparisons and recommendations.

Built on Azure (including Azure Databricks, Azure Functions and Azure Machine Learning), Betterfy uses machine learning to generate intelligent, transparent product comparisons and personalized suggestions; DataSentics also adapted its Shelf Inspector tool for accessibility. The solution improved the digital buyer journey, increased customer satisfaction and drove revenue—boosting sales by up to 20% in certain categories—while enabling the team to scale and tailor deployments for other retailers.

DataSentics

Andrej Bodi

Data Science Manager in Retail & E-commerce