Case Study: Paul&Shark boosts SEO and conversions with Algolia AI-powered search

How Paul&Shark’s AI-Fueled Search Boosts SEO & Conversions

Paul&Shark, an international apparel retailer, faced the challenge of capturing and retaining consumers in a noisy digital marketplace. The company wanted to improve its online visual merchandising, provide more relevant product listings, and alleviate the heavy maintenance requirements for its e-commerce team. To address this, Paul&Shark partnered with vendor Algolia for its AI-powered search and discovery platform.

By implementing Algolia's technology, Paul&Shark automated manual product updates and leveraged AI to serve highly relevant content. The solution included the use of the GPT-3 prediction model to improve query quality. The results were significant, including an 8.5% increase in overall revenue, a 9.6% growth in conversion rates, and a 90% improvement in query quality. Algolia's platform also provided a major boost to SEO and freed the e-commerce team to focus on new opportunities.

Paul&Shark

Giuseppe Miriello

Global Digital Director