THE EDIT / new season
Apprel GPT • active
CURATED FOR A MEDITERRANEAN WEEKEND
Selected from this retailer’s catalogue
Linen overshirt
€129
94% Match
Relaxed trousers
€145
91% Match
Apprel GPT understood Weekend + Warm weather + Minimal + Neutral palette · and styled beyond the search
Complete the look
✦ Styled by Apprel GPT
Pieces from this retailer’s catalogue selected to work with your search.
Minimal leather sneakers
€110 · Works with both pieces
Lightweight knit
€89 · Layering pick
Canvas weekend bag
€95 · Weekend complement
More discovery. More ways to shop the catalogue.
SEARCH WAS BUILT FOR PRODUCTS. NOT PEOPLE.
Traditional fashion search expects customers to know exactly what they want. But real shopping starts differently.
TRADITIONAL SEARCH
“black dress”
487 results
Category
Colour
Size
Price
Material
Length
APPREL GPT
“I need a black dress for a company dinner. Elegant, but I don’t want to look overdressed.”
Occasion — Company dinner
Style — Elegant
Constraint — Not overly formal
Colour — Black
12 relevant pieces
WHAT CHANGES WITH APPREL GPT
01 — UNDERSTAND
Understand what shoppers actually mean.
Apprel GPT reads natural language, context, style preferences, occasions, constraints and buying intent rather than relying only on keywords.
“Smart casual for Copenhagen next week.”
Occasion → Smart casual
Destination → Copenhagen
Timing → Next week
02 — DISCOVER
Turn intent into product discovery.
Connect shopper intent with the retailer’s catalogue and surface relevant products conversationally.
Conversation → Intent engine → Catalogue
Relevant products, without making the shopper start over.
03 — LEARN
See what your customers are trying to buy.
Every conversation becomes a source of customer intelligence for e-commerce, merchandising and CX teams.
ILLUSTRATIVE INTERFACE
Top intent: Everyday / Casual — 31%
Emerging demand: “linen trousers” +38%
Search → Product Engagement — 63%
THE INTELLIGENCE BEHIND THE CONVERSATION
Traditional search analytics tell you what customers typed. Apprel GPT helps reveal what they intended.
“I need something for a rooftop dinner.”
“Show me comfortable office shoes.”
“Going to Ibiza next month.”
“Something similar, but less formal.”
“I like this jacket but want it warmer.”
OCCASION · STYLE · BUDGET
DESTINATION · PREFERENCE · PRODUCT INTEREST
CONSTRAINT
BUILT TO EVOLVE
Apprel GPT starts where fashion shopping starts: finding the right product. The same conversational layer is being expanded to help retailers manage the first moments of customer assistance.
NOW AVAILABLE
Discover · Understand · Learn
Conversational product discovery
Customer intent recognition
Search & intent analytics
COMING NEXT: IN DEVELOPMENT
Assist · Resolve · Escalate
Answer common first-line questions
Handle appropriate initial requests
Create structured tickets with context
COMING NEXT
The same conversational layer will help fashion retailers handle the first moments of customer assistance, with clear context for the support team when human care is needed.
Concept interface, capability in development
Customer
“I ordered this jacket three days ago. Can I change the delivery address?”
Apprel GPT
“I can help identify the right next step. Let me check what information is needed.”
CUSTOMER REQUEST
NOT A GENERIC CHATBOT
Style-aware discovery
Understand language around aesthetics, occasions and styling preferences.
Catalogue intelligence
Connect conversational intent with retailer product information.
Fashion-specific context
Interpret formal, relaxed, oversized, minimal and seasonal shopping.
Retailer intelligence
Turn conversations into signals merchandising, e-commerce and CX teams can use.
FOUNDING PARTNER PROGRAM
We’re working with a limited group of fashion retailers to develop Apprel GPT in real shopping environments. Founding Partners get early access to conversational product discovery and customer intent insights while helping shape the capabilities that come next.
Limited founding partnerships available.
RETAILER QUESTIONS
Everything a fashion retailer needs to understand about Apprel GPT’s current focus and roadmap.
Be one of the retailers shaping what comes next.