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E-commerce & DTC Brands

Higher AOV on every session without adding ad spend

A recommendation engine built from your own Shopify data. It runs on product pages, cart, post-purchase, and email.

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Sound familiar?

Your recommendations show the same bestsellers to everyone
Bestseller lists are not recommendations. A customer who already bought your flagship sees it again.
Third-party widgets share your data with competitors
Most plug-in tools train on one shared model. Your customer data helps the brand selling against you.
Post-purchase upsell is an afterthought
Right after checkout is the highest-intent moment. Most brands waste it on a static discount code.
Email recommendations are static blocks
Every email shows the same featured products. Personalised picks can double email revenue.

What we actually do

A model trained on your Shopify purchase history and browse events. Widgets on PDP, cart, and post-purchase. Dynamic picks in Klaviyo. You own the model and the data.

What's included

Shopify event pipeline: browse, add-to-cart, purchase
Recommendation model trained on your catalog and customers
PDP widget: complementary and frequently-bought-together products
Cart widget: upsell and cross-sell at checkout
Post-purchase page: next best purchase
Klaviyo integration: dynamic product blocks per recipient
Dashboard tracking recommendation CTR and attributed revenue

How it works

Data

We audit your Shopify events and catalog data.

Model

We train the model on your purchase and browse history.

Embed

We add widgets to PDP, cart, and post-purchase.

Measure

We track CTR, AOV lift, and email revenue monthly.

The Meatery
AI Voice CRM, Shopify multi-tenant
Read the case study

Model build included. Retraining and widget updates ongoing.

Frequently asked

Ready to get started?

Let's build your ai product recommendations system

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