Outfit stylist: a complete look by size, stock, budget and style
The customer sends a photo and a sentence; the agent builds three looks that are in stock, fit and within budget, and adds the chosen one to the cart.
Outfit stylist: a complete look by size, stock, budget and style is an agent scenario in the Retail & E-commerce sector running on the app, web, whatsapp channels. Trigger: "What do I wear with this" request over the app, web or WhatsApp. The Style Supervisor coordinates 4 specialist agents (Vision Agent, Stylist Agent, Catalogue Agent, Cart Agent) across 5 systems (WhatsApp Business, Product Catalogue (PIM), Inventory, Customer Profile, Cart & Checkout API); of 10 steps, 2 write to systems and 1 are checks or approvals. Outcome: Three looks presented, one in the cart; size profile and preferences saved. Approval rule: Discount outside campaign rules or a bespoke price request → customer service.
Outfit stylist: a complete look by size, stock, budget and style
- WhatsApp: jacket photo + "Friday dinner, smart casual, up to 3,000"
- Garment: navy wool-blend blazer, slim fit; matching catalogue item found
- Size profile: 50 / 32-32 / 43; past returns show narrow-fit trouser deviation
- Plan: fetch candidates → drop return-risk items → build 3 looks → confirm stock → cart
- Shirt, trousers, shoes, accessories: 38 candidates after size and budget filter, all in stock
- 5 items with return rate > 35% removed; 2 trousers with size-chart deviation dropped
- 3 looks: 2,740 / 2,890 / 2,980; with colour and fit reasoning, visual collage prepared
- Looks sent on WhatsApp; the customer picked look 2 and asked for shoes in 44
- 4 items added to the cart, shoes in 44 confirmed; 2-hour store pickup available
- Size profile and style preferences updated; note stored for the next recommendation
- ■completed
Simulation · derived from real agent definitions · every agent can be built by dialogue with the Autonomous Agent and validated with a test corpus
"What do I wear with this" request over the app, web or WhatsApp
Three looks presented, one in the cart; size profile and preferences saved
Agents
Style Supervisor
Decomposes the objective, delegates to agents, manages approval points, merges the result.
Vision Agent
Extracts type, colour, fit and fabric of the submitted garment
describe_garmentmatch_catalogue_itemStylist Agent
Builds and explains looks from style rules, size profile and budget
get_style_rulesget_size_profilecompose_outfitsCatalogue Agent
Fetches candidate products filtered by stock, size and price
search_cataloguecheck_stockget_return_rateCart Agent
Adds the choice to the cart, states delivery and return terms
add_to_cartget_delivery_optionssave_preferencesSteps
| # | Kind | Agent | What happens | System | ms | tok |
|---|---|---|---|---|---|---|
| 01 | ingest | Style Supervisor | WhatsApp: jacket photo + "Friday dinner, smart casual, up to 3,000" | WhatsApp Business | 180 | — |
| 02 | reason | Vision Agent | Garment: navy wool-blend blazer, slim fit; matching catalogue item found | Product Catalogue (PIM) | 1,300 | 760 |
| 03 | retrieve | Stylist Agent | Size profile: 50 / 32-32 / 43; past returns show narrow-fit trouser deviation | Customer Profile | 420 | 180 |
| 04 | plan | Style Supervisor | Plan: fetch candidates → drop return-risk items → build 3 looks → confirm stock → cart | — | 240 | 220 |
| 05 | tool | Catalogue Agent | Shirt, trousers, shoes, accessories: 38 candidates after size and budget filter, all in stock | Inventory | 560 | — |
| 06 | verify | Catalogue Agent | 5 items with return rate > 35% removed; 2 trousers with size-chart deviation dropped | — | 380 | 150 |
| 07 | reason | Stylist Agent | 3 looks: 2,740 / 2,890 / 2,980; with colour and fit reasoning, visual collage prepared | — | 2,200 | 1,500 |
| 08 | notify | Cart Agent | Looks sent on WhatsApp; the customer picked look 2 and asked for shoes in 44 | WhatsApp Business | 1,800 | 240 |
| 09 | write | Cart Agent | 4 items added to the cart, shoes in 44 confirmed; 2-hour store pickup available | Cart & Checkout API | 520 | — |
| 10 | write | Cart Agent | Size profile and style preferences updated; note stored for the next recommendation | Customer Profile | 300 | — |
Where is my order? (WISMO)
Customer asks, order and carrier events join instantly; on delay a new ETA is given and a trace opened.
Returns and refunds
Policy and history checked in seconds, label issued; the refund executes when the carrier scans the parcel.
Product Q&A assistant
Size, compatibility and spec questions answered from catalogue and return data; stock and price verified.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis