Personalised product discovery
The engine analyses what each visitor views, adds and abandons, then reorders your product recommendations for them specifically. No two shoppers see the same suggestions.
Revenue per order
AI Product Recommendations & Upsell Automation
Raise average order value with AI that recommends the right product, at the right moment, to every single visitor.
Most stores show the same product grid to every visitor. Our AI recommendation engine reads browsing behaviour, purchase history and cart contents in real time, then surfaces the products each shopper is most likely to buy. It works on product pages, in the cart, at checkout and in post-purchase emails.
24/7
Always personalised
10–14 days
From discovery call to launch
14 days
Close support after launch
Your catalogue
Only suggests products you sell
What you get
Cart and checkout upsells
Bundle and add-on suggestions appear at the moment of highest intent, based on what is already in the cart and what similar customers bought alongside it.
AI shopping assistant
A conversational assistant helps shoppers find the right product by asking about their needs, size, budget or use case, then recommends from your live catalogue.
Post-purchase cross-sell
After an order is placed, an automated sequence recommends complementary products timed to arrive when the customer is most likely to buy again.
Works with
- Product pages
- Cart and checkout
- Website chat widget
- Email recommendations
- WhatsApp Business
- Instagram DMs
How we build it
Typical timeline: 10 to 14 days. We confirm yours before any work begins.
- 1
Day 1
Catalogue and behaviour audit
We review your product catalogue, category structure, current average order value and your existing recommendation setup, if any.
- 2
Days 2 to 9
Build and connect
We build the recommendation logic, connect it to your Shopify or WooCommerce catalogue, and configure the placement rules for product pages, cart and checkout.
- 3
Days 10 to 12
Test and tune
We run the engine against your historical order data to validate that its recommendations match real buying patterns, then tune the weighting before launch.
- 4
Days 13 to 14
Go live together
We launch on a call, confirm every placement is rendering correctly, and monitor average order value closely across the first fortnight.
Pricing
from USD $1,799 setup
USD $549 per month, optional. Every build includes:
- AI recommendation engine, fully configured
- Product page and cart placements
- Checkout upsell logic
- Conversational shopping assistant
- Post-purchase cross-sell sequence
- 14 days post-launch email support
- Full written documentation and video walkthrough
Common questions
Will the recommendations feel pushy?
No. We configure the engine to suggest relevant products rather than the highest-margin ones. The suggestions appear where shoppers expect them, in numbers that help rather than overwhelm. Relevance is what raises order value, not volume.
Does it work with a small catalogue?
Yes, though the benefit grows with catalogue size. Stores with fewer than fifty products see the most value from the conversational assistant and the post-purchase cross-sell rather than on-site recommendations.
Do I need historical sales data for this to work?
It helps but is not essential. With order history we can train the engine on real buying patterns from day one. Without it, we start with rule-based logic built from your category structure and switch to behavioural data as it accumulates.
Will it slow down my store?
No. All recommendation logic runs asynchronously and is cached. Page load impact is typically under fifty milliseconds. We measure this before and after launch and share the numbers with you.
Ready to raise the value of every order?
Book a free 30-minute call. We will look at your current average order value and show you exactly where personalisation would add the most revenue. No commitment required.
contact@mediabooster.agency+1 (334) 605-8005Mon to Fri, 9am to 6pm GMT