AI Clienteling Commerce OS · for luxury retail
Turn intent into the sale, the appointment and the relationship.
Not a chatbot. A conversion, clienteling, appointment and transaction layer that turns a vague request into a curated edit, a draft basket, a booked stylist, a saved return and measurable AI-attributed revenue.
The product thesis
Luxury retail has four commercial leaks. MaisonAgent closes each one.
Intent doesn't convert
High-intent customers leave because they don't know what to buy.
→ Curated edit + draft basket
Stylists drown in intake
Talent spends time on poor intake instead of high-value clienteling.
→ Auto stylist brief + booking
Gifting is under-orchestrated
High-margin gifting and events left to chance.
→ Occasion-aware concierge
Returns become refunds
Refunds leak revenue that could be retained as exchanges.
→ Exchange-first return save
Live, scripted walkthrough
Four customer journeys, one governed agent layer.
Each tab plays a self-running journey — or switch to Presenter mode (top-right) to step through with →. Then see how every interaction rolls up into attributed revenue.
Gifting
Concierge · Gifting
Vague intent becomes a curated edit, a draft basket, gift packaging and a checkout link — in one flow.
Governed by design
Every action is bounded by an authority level (L0–L7). High-value baskets, VIP and private actions route to human approval — the Brand Policy rail blocks before it recommends.
MaisonAgent
Web widget · live
Platform architecture
A rails-based commerce OS
Schema-first, registry-first, manifest-first — a governed, API-first commerce layer with usage-based billing and full auditability.