Algolia Recommend

Algolia Recommend suggests related and frequently bought together products using AI, so shoppers see more relevant items and we can lift basket size. It sits alongside Algolia's search product. We would use it when we want recommendations without building our own models.

It can be, if we have a developer or agency. Algolia has a free Build tier and pay-as-you-go plans, but profiles note that customisation and personalisation often need engineering time. Without developer support, a ready-made app on our ecommerce platform may be easier.

Algolia's pricing page lists a free Build tier that includes 10,000 AI recommendation requests per month, then pay-as-you-go Grow and Grow Plus tiers and custom Elevate pricing. We could not confirm the exact Recommend rates beyond the free allowance. Costs reportedly rise with traffic and records, so confirm on the vendor pricing page.

We could show related products, bought-together suggestions and trending items, and use it alongside Algolia search and re-ranking. It works through APIs and front end libraries such as InstantSearch. We would check which recommendation models are included in our plan.

It helps rather than replaces. It automates the choosing of recommended items, but we would still need someone to set it up, review the results and decide where recommendations appear.

Algolia offers SDKs and connectors for major web and mobile stacks, and profiles mention ecommerce platform connectors plus Segment and GTM. Custom or legacy systems may need bespoke work. We would confirm that our platform is supported before committing.

We would check how the usage based billing scales, since profiles report billing disputes and unexpected overages. We would also check support levels on lower tiers. Reviews are generally positive (G2 about 4.5, Capterra about 4.7 per a third-party profile), but Trustpilot was low at 2.6 from only 7 reviews, so we would test with the free tier first.