Vol. XI · Functory Quarterly№ 001 · Edition 2026
I
Components

Recommendations.

Show each customer what they are most likely to want

Suggest products, listings, or content based on what each customer has viewed, liked, saved, and bought. Start with built-in rules that need nothing extra, and switch to machine learning once you have the data to support it.

II
Under the hood

For your engineers.

What is included, in the terms your technical team will ask about.

  1. 01

    Rule-based or AWS Personalize backends, chosen per tenant

  2. 02

    Signals from interactions, browsing history, favorites, and purchases

  3. 03

    Similar items for whatever a customer is viewing

  4. 04

    Trending feed, filterable by category

  5. 05

    Scheduled refresh into each user's recommendations, plus refresh on demand

  6. 06

    Admin preview of what any user would be shown

III
Integrations

Works with everything.

Recommendations integrates seamlessly with other Functory capabilities and your existing tools.

Event-Driven ArchitectureTask SchedulingNotificationsREST & GraphQL APIsYour AWS Account

Coda

Ready to ship?

We build with Recommendations, so you do not have to.

Tell us what you are building, or browse the rest of the catalogue.