AI
Not a decision tree — an assistant that knows the catalogue
Most storefront chat is either a rules-based tree that frustrates people or a support inbox nobody staffs at 11pm.
- Client
- Home Textile Retailer
- Year
- 2026
Situation
Neither option helps the customer who knows what room they are furnishing but not which product fits it.
Pointing them at a category page does not answer the question.
Approach
A conversational assistant sits on the storefront and answers with knowledge of the actual catalogue — size, material, room suitability, care.
It moves the conversation toward a specific product rather than a category page.
Brand voice, tone and product framing are configuration, not hard-coded, which is what let a second brand deploy on the same codebase without a fork.
Result
Two rules are enforced at the model boundary: never mention a competitor, never link outside the store.
Beyond correctness that is a commercial requirement — an assistant that helpfully sends a customer elsewhere is worse than no assistant at all.
Technology used
- LLM
- Shopify Storefront
- Katalog Bağlama
- Çok Marka Ayarı
What would a system like this do for you?
We audit your ad account and site, then hand you a written roadmap in five business days.