Case Study: Sary (B2B wholesale marketplace) achieves 500x faster search and 3x higher CTR with Algolia

A Algolia Case Study

Preview of the Sary Case Study

How Sary Used Algolia to Improve Search & Better Understand Its Customers

Sary is a Riyadh-based B2B wholesale marketplace that connects small businesses with wholesalers across the MENAP region, offering over 30,000 SKUs via web and mobile. As the company scaled, its simple open-source search struggled with keyword accuracy, Arabic-language queries, and recognizing customer intent, which hurt product discovery and conversion.

In a two-month rollout Sary adopted Algolia’s Search API, Recommend and features like Rules, Dynamic Re-ranking, Personalization and A/B testing. The solution improved Arabic search, enabled easy brand/category boosts and experimentation, and delivered clear business impact — about 500x faster search, a 3x increase in click-through rate, more frequent purchases of recommended products, and stronger insights into customer behavior.


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Sary

Abdulaziz Binghannam

Head of Engineering


Algolia

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