Skip to content

Recommendation engine

A recommendation engine built for your store and your shoppers

Recommend the right products to each shopper from their own behaviour and purchase patterns — on Shopify or any B2C storefront.

The problem

Generic “you may also like” widgets recommend what is popular, not what this shopper is likely to buy next. The result is recommendations people scroll past and carts that stay small.

What we build

  • A recommendation model trained on your own catalogue, sessions and order history
  • Placements where they earn their space — product pages, cart, post-purchase, email
  • Integration with Shopify or the B2C website you already run
  • Monitoring, so recommendations stay relevant as your catalogue and season change

What it learns from

  • Browsing behaviour and sessions
  • Purchase history and repeat-purchase patterns
  • Products commonly bought together
  • Catalogue attributes and availability

What you get

  • Higher total cart value
  • More products per order
  • Revenue growth from the traffic you already have

Built for

The people who own the decision

  • E-commerce managers
  • Founders and CEOs
  • Heads of digital
  1. 01

    Fit sprint

    We check your data sources and integrations against the problem, confirm what the data can support, and pick the right solution, architecture and platform — before anything is built.

  2. 02

    Milestone-based build

    We develop the decision engine in milestones you can see and check. Depending on scope it runs from about a month to six months, or up to a year.

  3. 03

    Go-live and maintenance

    We deploy it, run it and maintain it after launch, so it keeps working as your business and your data change.

Recommendation engine: questions

Does it work with Shopify?

Yes. We integrate the recommendation engine with Shopify or any other B2C website you run, and handle the integration ourselves.

Is this an app we install?

No. It is built for your store, from your data, and we deploy and maintain it. There is no off-the-shelf app to configure.

Other solutions

Have a decision your data should be making?

Start with a fit sprint. We check your data, confirm what it can support, and show you the architecture and milestones before anything is built.