
Light-weight personalisation engine that turns clicks into conversion.
AIME Live reacts to signals including, clicks, likes, purchases in real time, adjusting product recommendations to match what each shopper wants, at the time. It works from the very first visit, with no login or history required.
Key Benefits
Increases session duration and product views
Works instantly - even for new, anonymous users
Reduces bounce with dynamic relevance
Deploys on home, PDP, cart, and more
Fully client-side for speed and scale
Where it works
Optimised for key touchpoints in the shopper journey.
01
Homepage
Works best as a prominent first-scroll carousel or featured row, instantly engaging users with relevant products based on their early signals and drawing them deeper into the store.
02
Product Pages
Once the shopper’s intent becomes clearer, AIME fine-tunes recommendations, surfacing alternatives, complements, or bundle opportunities that align with live interest.
03
Cart
Positioned at the point of intent, AIME suggests high-value add-ons based on the user’s session behaviour, increasing AOV without undermining the purchase.
04
Trending Widgets
Replace default “popular” feeds with dynamically curated selections that reflect what’s actually resonating with the user, keeping attention high and discovery active.
How it works
AIME Live runs predominantly in-browser, delivering real-time personalisation with minimal backend complexity and communication. It adapts instantly to shopper behaviour, integrates cleanly with Shopify logic, and respects performance, privacy, and scale.
Client-Side Execution
Instant Response
AIME LIVE runs directly in the shopper’s browser, minimising server calls and latency. This ensures every recommendation responds to behaviour in real time without perceptibly slowing down the page.
Shopify-Native Compatibility
Plays well with your existing logic.
Rather than replacing Shopify’s built-in recommendation systems (Trending, Bought Together, New), AIME Live enhances them, layering behavioural intelligence over native logic for sharper, session-aware output.
Flexible UI Deployment
Anywhere in the journey, any format.
AIME LIVE runs directly in the shopper’s browser, minimising server calls and latency. This ensures every recommendation responds to behaviour in real time without perceptibly slowing down the page.
Session-Based Intelligence
Understands intent as it unfolds.
Rather than replacing Shopify’s built-in recommendation systems (Trending, Bought Together, New), AIME Live enhances them, layering behavioural intelligence over native logic for sharper, session-aware output.
Smart Signal Persistence
Engagement memory, not user memory.
AIME Live retains behavioural signals across short sessions without requiring logins or IDs. It uses timeouts and decay settings to balance relevance with privacy, keeping the experience sharp, without tracking fatigue.

Turn clicks into
conversions.
AIME Live runs entirely in-browser, delivering real-time personalisation without adding backend complexity. It adapts instantly to shopper behaviour, integrates cleanly with Shopify logic, and respects performance, privacy, and scale.
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