Case Study: Flaconi achieves faster, more flexible product discovery with Algolia

How Algolia helped flaconi transform its search experience at MACH speed

Flaconi, a beauty retailer, needed to re-platform its online store because its in-house monolithic system was cumbersome, limited flexibility, and made it hard to keep up with growing consumer expectations. As part of its move to a MACH architecture, Flaconi selected Algolia for search and discovery to help improve product findability and support features like personalization.

Algolia implemented sitewide search across product listings, categories, brands, sales, and promotions, with Algolia Facets & Filters powering filters throughout the site. The rollout took just two to four weeks, supported by clear documentation and responsive help, and Algolia also enabled pinning, custom rules, and dynamic re-ranking so Flaconi’s teams could test ideas without heavy engineering support, giving the company faster delivery and greater flexibility.

Flaconi

Adeel Younas

Head of Engineering