17+ models. Every placement. One brain.
We train one personalization model on your catalog and behavior, then deploy it to every surface where a shopper makes a decision: product page, cart, home, collection, and email (Klaviyo, Growth+), all sharing the same signal.
From your warehouse to your storefront, in six steps.
The whole loop runs continuously. No manual retraining, no data engineer required.
Catalog, orders, sessions, search logs, reviews, inventory.
Each SKU and customer becomes a vector grounded in your data.
Candidates scored per visitor, per surface, per moment.
Business rules, inventory, exclusion lists.
Redis + Typesense hot path, no database on the read.
Every impression, click, and purchase feeds the next refresh.
Trained on your store, not the whole internet.
Every signal we read is yours and trains your store's models only. Nothing is shared with other merchants, and you can revoke any source at any time.
17+ models, grouped by what they do.
Every model works out of the box, trained on your catalog. Rule-based models serve immediately; ML models turn on as your data builds.
Cross-sell & upsell
4 modelsTurn one item into a bigger order.
Discovery & exploration
4 modelsHelp every visitor find their thing.
Curated collections
6 modelsMerchandise the storefront automatically.
Retention & repeat
3 modelsBring shoppers back to buy again.
What merchants see after switching.
“We stopped manually merchandising bestsellers. The model does it now.”
“It grouped products in pairs we'd never have thought to bundle.”
“Cart bundles paid for the install almost immediately.”
Put every model to work in one install.
17 specialized models, placed and tuned for your catalog from day one, learning from every session after that.
