AI DESIGN ASSISTANT
From “not sure”
to add to cart.
An AI shopping assistant that reads your customers’ spaces, recommends across every category, and seamlessly opens the room visualiser — all in a single conversation.
01 — SPATIAL ANALYSIS
A photo is
all it takes.
Drop in a photo of your space — the assistant reads dimensions, colour palette, style DNA, and light quality automatically.
READY TO TRANSFORM YOUR RETAIL?
Turn browsers
into buyers.
Help shoppers buy with confidence. Reduce returns. Lift conversion. Install on Shopify in days.
Imersian's AI Shopping Assistant guides shoppers through product discovery using room context — making recommendations based on the dimensions, colour palette, and style of the shopper's actual room. It moves beyond keyword search and filter navigation to deliver context-aware guidance at the moment of highest purchase intent: when the shopper is actively designing in their space. It is the spatial selling layer of Imersian's three-layer spatial commerce platform.
3x increase in engagement.
An AI that helps shoppers find the right product — and buy with confidence
Embed on your product pages
The AI Shopping Assistant drops into your Shopify store as a Theme App Extension. No developer work required — configure once and go live.
Shoppers describe what they need
Customers chat naturally — 'I need a rug for a 3×4m living room with grey sofas' — and the assistant understands context, style, and room constraints.
AI recommends the best-fit products
The assistant surfaces relevant SKUs from your catalog with explanations, cross-sell options, and direct links to visualise each product in the shopper's room.
Confident shopper adds to cart
With the right product surfaced and visualised, shoppers convert faster and return less. Average order value rises as confident buyers explore complementary pieces.
Frequently Asked Questions
What is the Imersian AI Shopping Assistant?
It is a guided product discovery layer that helps shoppers find the right product for their room. It draws on the same spatial data as the Visualiser, so recommendations factor in scale, style, and category fit — not just text similarity.
How is this different from a generic ecommerce search bar?
Generic search relies on keywords and tags. The AI Shopping Assistant understands intent, room context, and product attributes, so a question like 'a rug for a small living room with a beige sofa' returns a curated set rather than a keyword match.
Where does it sit in the buyer journey?
It is a mid-funnel discovery tool. Shoppers who are still narrowing options use it to filter, compare, and shortlist; the Imersian Visualiser then closes the confidence gap once they have candidates.
How does it integrate with our catalog?
The Assistant indexes your product catalog through the same Shopify or API connection that powers the Visualiser. Variants, attributes, and inventory state stay in sync, so recommendations reflect what is actually purchasable.
What metrics improve when this is deployed?
Retailers using the Assistant typically see lower bounce rates on PDP entry, higher products-viewed-per-session, and improved add-to-cart rates from guided sessions versus standard search journeys.
Key Takeaways
- Uses spatial room data to recommend products appropriate for the shopper's specific space, dimensions, and existing décor context.
- Context-aware guidance accounts for room dimensions, colour palette, lighting conditions, and style signals from the uploaded room photo.
- Moves beyond filter-based navigation to guided, conversational product discovery at the moment of highest purchase intent.
- Operates when the shopper is actively designing in their room — the highest-intent point in the purchase journey.
- Represents the spatial selling layer of Imersian's three-layer spatial commerce platform: visualization, intelligence, and selling.