Case Study: Melisa organizes 21,000 product descriptions with Strix’s AI-powered data cleaning

Melisa organizes 21,000 product descriptions with Strix

Strix helped Melisa, one of the largest drugstore chains in Poland, organize its massive and chaotic product data. The customer faced the challenge of preparing 21,000 inconsistent product descriptions, filled with old HTML and mixed formats, for use in the Ergonode PIM system to power its e-commerce expansion. Manual cleaning would have taken a prohibitively long time and large team.

Strix implemented a hybrid AI and development solution, using a custom-built tool to clean and structure the data through intelligent, controlled stages. This approach delivered a ready-to-use, consistent product catalog for the PIM system at a minimal unit cost of just a few cents per description. The project was completed on schedule, enabling Melisa to efficiently publish product information across its online store and sales channels like Allegro.

Melisa