Case Study: Zeeman achieves faster, more stable search and improved conversions with Algolia

Zeeman improves Search performance and gives customers a ‘remarkably simple’ experience with Algolia

Zeeman, a family-founded discount textile retailer with 1,300 stores across seven European countries, experienced a major e-commerce outage in October 2021 when its existing search engine collapsed under campaign traffic, causing downtime, lost revenue, and jeopardizing long-term goals. The company, which emphasizes “remarkable simplicity” and everyday low prices, needed a faster, more stable, and scalable search solution.

Zeeman implemented Algolia (MVP live in two weeks), integrating features like Search API, Dynamic Synonyms, Rules, Recommend, and Merchandising with its Adobe Commerce platform and multilingual indexes. The switch delivered stable, faster, and more relevant search results, increased conversions and average order value (especially on mobile), reduced cart abandonment, eliminated downtime, and provided a roadmap for continuous, customer-focused improvements.

Zeeman

Alex Bloemendal

Manager eCommerce