Algolia's Recommend feature uses analytics data and machine learning to provide personalized product recommendations to customers, increasing satisfaction and conversion rates. To set it up, users must first capture significant user activities (events) through code additions on their website pages, then send those events to Algolia via its API. Once enabled in the dashboard, Algolia's models generate recommendations based on these events, which can be displayed to users after a short period of time. By leveraging Recommend, businesses like Gymshark have seen increased revenue and customer loyalty through effective upselling and cross-selling strategies.