Case Study: Praktiker improves catalog accuracy and boosts revenue with Aliz's Machine Learning solution

Praktiker improves catalog accuracy and boosts revenue with Aliz

The customer, Praktiker, a leading European hardware store chain, faced the challenge of analyzing vast volumes of search data to improve the accuracy of its product catalog. Vendor Aliz implemented a machine learning solution to address this challenge and support the customer's product portfolio expansion.

Aliz built a smart, ML-based data analysis solution that categorized and labeled the search data, delivering an intuitive visual representation of clusters to support business decision-making. This improved the effectiveness of Praktiker's product catalog, which resulted in a measurable boost to the company's revenue.

Praktiker