Every page shows the shelf they were looking for
AI Recommender learns from what shoppers view, add and buy in your store, then places the right products on your home, product, cart and thank-you pages. A shopper who keeps opening blue kurtas sees blue kurtas first. A gift hunter sees gift sets.
The browser, one visit
- 9:20 pm
Riya opens a blue cotton kurta from a Google Shopping ad.
- 9:21 pm
She views two more blue pieces. The home page reorders around blue and cotton.
- 9:23 pm
The product page shows "Complete the look" with a matching dupatta and juttis.
- 9:26 pm
She checks out with the kurta and dupatta. The thank-you page suggests a care kit for next time.
Built for how real shoppers buy
Learns from live behaviour
Views, add-to-carts, purchases and search terms in the current session shape the next page within seconds.
Several block types
Frequently bought together, complete the look, similar items, recently viewed, trending in category and new for you.
Understands attributes
Colour, fabric, size, price band and occasion are read from your catalogue so matches feel picked by a person.
Stock and margin aware
Out-of-stock items and sizes are hidden. Low-margin products can be weighted down or excluded.
Merchandising rules
Pin hero products, bury items you are phasing out, and keep certain collections apart.
Works from the first visit
New shoppers see popular items in the category they landed on until their own signals build up.
In the places shoppers decide
- 01Home page
A personalised row for returning shoppers and category bestsellers for new ones.
- 02Product page
Complete the look and similar items placed under the add-to-cart button.
- 03Cart
Small add-ons that pair with what is already in the cart.
- 04Thank-you page
Next-visit picks based on the order that was just placed.
Your store, your rules
- Choose which blocks appear on each page and in which order
- Exclude collections, tags or products from all recommendations
- Set a minimum margin for any product that can be recommended
- Match the block styling to your theme fonts and colours
What you see in Conversion Reports
Every number for AI Recommender sits in its own report, next to the rest of your store.
See which block shoppers actually use on each page.
Orders that include a product a shopper first saw in a block.
Average order value for sessions with and without a recommendation click.
How recommendations use shopper data
- Recommendations use behaviour in your store only. Data from one store is never used to train or serve another.
- No sensitive personal data such as health, religion or finances is used to decide what a shopper sees.
- Shoppers' cookie choices are respected. If tracking is declined, blocks fall back to non-personal bestsellers.
- Shopper data belongs to your store, is encrypted in transit and at rest, and is never sold.
How much data does the recommender need before it works well?
It starts with category bestsellers on day one. Most stores see personal picks settle within a week of normal traffic.
Can I control the look of the blocks?
Yes. Blocks inherit your theme fonts, and you can change card style, spacing, titles and how many products show.
Will it recommend products I do not want to push?
No. You can exclude products, tags or whole collections, and set a margin floor for anything recommended.
- Deliver to
- Your online store
- Contents
- Every feature, all plans unlocked
- Setup
- Under an hour for most stores
Try Sweanzystore free for 14 days.
- PackedYou sign up
Tell us your store and platform. Login details arrive by email.
- ShippedInstall the app or script
Shopify and WooCommerce apps, or one script tag for custom stores.
- Out for deliveryFeatures go live
Recommendations, search and offers appear in your theme style.
- DeliveredYour first report
See conversion, order value and revenue for each feature.