Art Ilk: +19% sales and +22% AOV from a Shopify-powered chat assistant
The brief.
Art Ilk is an online retailer selling over 1,000 unique art prints. Their catalogue is their strength and their challenge: with so much choice, customers frequently browse without converting, unable to locate the style or size they're looking for without significant effort.
The brief was direct: reduce browse-without-buying behaviour by helping customers navigate the catalogue conversationally. The assistant needed to feel like a gallery expert, not a search bar — asking the right questions to surface the right prints, then making a confident recommendation.
The strategy.
We built an on-site chat widget that connects directly to Art Ilk's Shopify store in real time. Rather than a static product recommender, the assistant queries live inventory, pricing, and availability as part of the conversation — so the recommendations it makes are always in stock and correctly priced.
The assistant guides customers through a short preference conversation (room, style, colour palette, size, budget) and surfaces three to five tailored options with direct add-to-cart links. For undecided customers, it offers comparison framing and upsell context — explaining why a canvas print in a larger size works better in a particular room, for example.
Live Shopify integration
Every recommendation is pulled from live inventory. The assistant never suggests an out-of-stock item or an outdated price — credibility that static recommendation widgets can't match.
Preference discovery, not filtering
Instead of asking customers to operate filters, the bot asks what they're trying to achieve: the room, the feeling, the existing colours. Answers map to Shopify tags, surfacing prints the customer wouldn't have found by browsing.
Upsell and comparison framing
When a customer shortlists two options, the assistant offers informed comparison — dimensions in context, framing options, delivery timelines. Higher-confidence decisions led directly to the AOV improvement.
What we shipped.
The build connected ChitChatBot.ai's flow engine to the Art Ilk Shopify store via API. We handled the conversational architecture, product mapping, and the on-site widget embed — Art Ilk's team handled any merchandising decisions about which product tags to prioritise.
- ✓ Real-time Shopify API integration — live inventory, pricing, and product metadata
- ✓ Preference discovery flow: room type, style, colour palette, size, and budget inputs
- ✓ Dynamic product recommendation engine pulling 3–5 tailored results per conversation
- ✓ Direct add-to-cart links embedded in chat recommendations
- ✓ Upsell framing module for canvas vs. print, size comparisons, and framing options
- ✓ On-site widget with brand-matched styling deployed across all product and category pages
- ✓ Fallback to human team for bespoke or wholesale enquiries
The numbers.
Both metrics improved within the first full month of the assistant being live — without any changes to the product catalogue, pricing, or marketing spend.
The assistant genuinely helps people find prints they love. The uplift in both sales and order value came from customers buying with more confidence, not from pressure.
What this means for similar businesses.
Any e-commerce business with a large catalogue and a high browse-to-abandon rate has the same underlying problem Art Ilk had: choice paralysis. The customer wants something but can't easily find it, so they leave. A real-time connected assistant turns the catalogue from a browsing problem into a conversation.
The Shopify integration pattern works for any store with well-structured product tags. The investment pays back quickly when average order values and conversion rates both move — the compounding effect means the economics improve with volume.
This is particularly relevant for retailers where product knowledge matters: art, interiors, fashion, outdoor gear, wine. Anywhere that a knowledgeable sales person would genuinely help, a well-built assistant can replicate that conversation at scale.
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