ApoloTor
A luxury AI shopping experience for a perfume brand
Customer chat
Preferences, mood, occasion
ApoloTor AI
Guided recommendation engine
Guided purchase
Recommend · customise · track
Wired together
LLM
Recommendation & brand voice
Store & orders
Catalogue & live tracking
Feedback capture
Into product development
How the systems connect — drawn instead of screenshotted, so nothing client-specific leaves the room.
01 — The challenge
ApoloTor sells a premium, considered product. Generic e-commerce flows — category pages, filter-by-note dropdowns — weren't working. Customers needed guidance, not search bars. The challenge was building something intelligent enough to personalise the journey while keeping the brand feel intact.
02 — What we built
- Conversational product recommendation engine based on stated preferences, mood, and occasion
- Guided custom scent creation flow for customers wanting something unique
- Live order tracking integrated directly into the chat interface
- Post-purchase feedback collection feeding product development
- Tone of voice and response calibration to maintain the brand's luxury register throughout
03 — The result
Higher engagement at every stage of the purchase journey. Customers spend more time exploring and convert with more confidence. Brand voice held consistently across thousands of automated interactions.
Operational impact
- Guided
discovery over search
A conversation replaces category pages and note filters — customers are led to a fragrance rather than left to hunt for one.
- In-chat
order tracking
Live order status surfaces inside the same conversation, so support questions never leave the chat.
- Custom scents
created in-flow
A guided flow lets customers compose a bespoke combination without dropping out of the shopping journey.
- On-brand
across every reply
Tone and register are calibrated to the luxury positioning and held across thousands of automated interactions.
- Guided discovery replaces category pages and filter-by-note dropdowns
- Customers spend more time exploring and convert with more confidence
- Custom scent creation handled in-flow, without breaking the journey
- Brand voice held consistently across thousands of automated interactions
Under the hood
- AI
- LLMRecommendation logicBrand voice layer
- Commerce
- Product catalogueOrder trackingCheckout handoff
- Experience
- Chat interfaceGuided scent builderFeedback capture
What's connected
- Store & orders
- Live order status and the product catalogue flow into the chat, so tracking and recommendations use real data, not a static list.
- LLM
- Drives recommendation, guided scent creation, and support replies — every response calibrated to the brand register.
- Feedback capture
- Post-purchase responses are collected in-conversation and fed back into product development.
Want something like this?
Book a free consultation — we'll map your workflows and tell you exactly what to build.