Al-Futtaim Group drives 206% search revenue growth and 221% order increase with Algolia AI Search
Al-Futtaim Group faced poor search relevancy from their out-of-the-box onsite search algorithm, a drastic mismatch between category page and search results, and a fully manual merchandising process that prevented teams from focusing on planning and optimization.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer search on PLP or search page
Algolia is integrated on product listing pages and search pages where customer searches are processed.
After adopting Algolia across Al-Futtaim Group's retail sites, ACE search sessions increased by 128%, search revenue by 206%, search CVR by 41%, and search orders by 221%. In ACE UAE specifically, search usage jumped from 8% to 18% with a threefold increase in search revenue, indicating customers can now find products more effectively.
What failed first
The out-of-the-box onsite search algorithm delivered poor search relevancy, with a drastic difference between category page results and search results.