Enterprise AI Suite

AI that puts fashion
enterprises in front row.

Three AI engines working together: fashion discovery, customer service intelligence and market analytics. Helping your brand know the customer better, serve them faster and sell smarter.

The market shift

The fashion customer's
journey has changed.

Consumer behaviour has fundamentally shifted. Customers decide what to buy, and from whom, long before entering a store. Brands that capture this digital intent and serve it intelligently will define the next era of fashion retail.

62%
of e-commerce journeys begin with a search engine. Customers compare brands before they visit a store.
Source: WPP Media
40%
average return rate for online fashion, driven by poor discovery and size uncertainty.
Source: Eco-Age
4/10
online consumers rate their product discovery experience as grade C or lower.
Source: PR Newswire
The suite

One suite. Three engines.
Complete intelligence.

Each engine works independently, but together they form a closed loop: the assistant generates data, the service engine learns from every interaction, and the intelligence layer turns it all into competitive advantage.

The discovery engine

AI Fashion Assistant

A conversational AI shopping engine that lets customers discover, try on and purchase fashion through a single personalised interface. The front door that generates the data powering the entire suite.

  • Conversational outfit curation
  • Real-time virtual try-on
  • Visual search from any image
  • Personalised recommendations
The service engine

AI Customer Service

AI trained on real operator-customer conversations to replicate and scale the best of your human service. Your brand’s tone of voice, product knowledge and service standards, available 24/7, in every language.

  • Trained on real conversations
  • Brand tone-of-voice calibration
  • Auto-generated knowledge base
  • Multilingual, always-on support
The insight engine

Data & Market Intelligence

Real-time analysis of sales patterns, customer behaviour and market signals. From buyer decisions to customer profiling, every interaction becomes actionable intelligence for your business.

  • Sales & behaviour analytics
  • Buyer decision support
  • Customer profiling & segmentation
  • Trend forecasting & brand affinity mapping
Assistant generates dataService engine learnsIntelligence drives decisionsLoop closes
The three engines

A complete AI layer
for your fashion business.

Talk to our team
01

AI Fashion Assistant

Discover, try on, buy. In one conversation.

Your customers interact with a conversational AI that understands body type, style preferences, budget and occasion. It curates personalised outfit selections, lets users visualise garments on their own avatar with real-time virtual try-on, and enables visual search from any photo. The result: higher conversion, fewer returns, and a shopping experience that feels like a personal stylist at scale.

  • +Conversational AI shopping engine
  • +Real-time virtual try-on on user’s avatar
  • +Visual search: snap a photo, find the garment
  • +Body-type, budget and occasion personalisation
  • +200+ brand catalogue, unified checkout
  • +Data engine for the entire Avenor suite
02

AI Customer Service

Your best operator’s knowledge, available 24/7.

We train AI models on the real conversations between your operators and customers. The system absorbs your brand’s tone of voice, product expertise and service protocols, then uses this knowledge to handle inquiries autonomously, with the nuance and warmth of your best human agents. The result: consistent, brand-aligned responses at any hour, in any language, while your team focuses on high-value interactions.

  • +Trained on real operator-customer conversations
  • +Brand tone-of-voice and personality calibration
  • +Automatic knowledge base generation from chat history
  • +Context-aware responses with full purchase history
  • +Multilingual support, always on
  • +Escalation to human agents when needed
03

Data & Market Intelligence

Every interaction becomes a business insight.

Every search, every try-on, every purchase and every customer service conversation feeds the Avenor Fashion Graph: a real-time intelligence layer that maps style trends, brand affinities, size patterns and purchasing behaviours. Your buyers know exactly what to stock, your marketing team knows which segments to target, and your leadership has a live pulse on how the market is moving.

  • +Sales pattern and customer behaviour analytics
  • +Buyer decision support: what to buy, how much, when
  • +Customer profiling and micro-segmentation
  • +Fashion Graph: trend, affinity and intent mapping
  • +Real-time dashboard or periodic market reports
  • +GDPR-compliant, privacy-first architecture
The market opportunity

A $2.3 trillion market.
No dominant AI player.

$2.3T
Global fashion e-commerce market size projected by 2034, growing at 10% CAGR from $897B in 2024.
AI fashion discovery market size (2025)$3.1B
AI fashion market CAGR (2025-2030)40%
AI customer service market CAGR (2025-2030)24%
Customers who research online before buying74%
Gen Z preference for AI-assisted shopping81%

Competitive matrix

No existing player combines AI fashion discovery, virtual try-on, AI customer service and data intelligence into a single enterprise suite. Avenor is the only full-stack solution.

Avenor ✦
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
Constructor
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
YesPlz AI
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
DRESSX
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
ViSenze
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
Daydream
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
Lily AI
AI Discovery
Virtual Try-On
Customer Service
Data Intelligence
Competitive landscape

We studied the market.
Here's what we found.

The fashion AI space is fragmented. Most players focus on a single capability (search, VTO, or data enrichment) but none offer a complete enterprise suite combining discovery, customer service and market intelligence. This is Avenor's whitespace.

Constructor

Enterprise Search
LOW

General-purpose e-commerce search and product discovery. Serves large retailers (Sephora, Backcountry) with AI-powered site search, browse and recommendations.

$55M Series A raised|Val. ~$550M|~200 people|San Francisco, US
Strengths
  • +Proven enterprise search infrastructure
  • +Strong revenue ($30M+ ARR)
  • +Large engineering team
Gaps
  • No fashion specialisation
  • No virtual try-on
  • No customer service AI
  • No data intelligence layer

YesPlz AI

Fashion AI Search
MEDIUM

Fashion-specific AI search with visual style filters and natural language discovery. Strong Korea presence via NAVER Shopping integration.

~$3M raised|~8 people|San Francisco + Seoul
Strengths
  • +Deep fashion domain expertise
  • +Korea market via NAVER partnership
  • +Visual style navigation UX
Gaps
  • No real virtual try-on (only mannequin filter)
  • Very small team (8 people)
  • ~$1.2M ARR, limited scale
  • No customer service or analytics offering

DRESSX

Digital Fashion & VTO
MEDIUM

The most advanced virtual try-on technology in the market. Pioneered digital fashion and launched an AI shopping agent in September 2025.

$18M raised raised|~30-50 people|Los Angeles, US
Strengths
  • +Industry-leading VTO technology
  • +AI Shopping Agent (Sep 2025)
  • +B2B offering (DRESSX for Business)
  • +Zepeto partnership (metaverse)
Gaps
  • Digital fashion niche, not mainstream retail
  • No aggregated discovery across brands
  • No customer service AI
  • No enterprise data analytics

ViSenze

Visual AI Commerce
MEDIUM-HIGH

Visual AI search platform serving major fashion retailers including Zalora, Myntra, Meesho and Rakuten. The strongest existing player in Asian markets.

$20M+ raised|~80-100 people|Singapore
Strengths
  • +HQ in Singapore, strong Asia footprint
  • +Proven visual search technology
  • +Major fashion retailer clients
  • +Established B2B enterprise model
Gaps
  • No virtual try-on capability
  • No conversational AI assistant
  • Backend product matching, not consumer-facing
  • No customer service or analytics suite

Daydream

Consumer Fashion Discovery
LOW

Well-funded B2C fashion discovery app with an affiliate monetisation model (~20% commission). Consumer-only, no B2B offering.

$50M Seed (Khosla) raised|~15-20 people|San Francisco, US
Strengths
  • +$50M seed from Khosla Ventures
  • +Strong consumer UX
  • +AI-powered outfit curation
Gaps
  • No B2B product or offering
  • No virtual try-on (on roadmap)
  • Affiliate-only model, limited enterprise value
  • No service or intelligence layer

Lily AI

Backend Product Attribution
LOW

Backend product data enrichment and attribution platform. Not consumer-facing. Currently experiencing significant downsizing (117 to ~34 employees).

$30M+ raised|~34 (down from 117) people|Mountain View, US
Strengths
  • +Deep product taxonomy knowledge
  • +Fashion attribute tagging IP
Gaps
  • Not a discovery platform, backend only
  • No VTO, no search, no consumer UX
  • Major layoffs signal business instability
  • No customer service AI capability

Avenor's unique position

The only platform combining AI fashion discovery, real-time virtual try-on, AI customer service and market intelligence into a single enterprise suite. No competitor covers more than two of these pillars.

AI DiscoveryVirtual Try-OnCustomer Service AIData Intelligence
The team

Fashion expertise.
Technology precision.

FV
Fiammetta Viceconte
Founder & CEO
Shaped by private equity and the inner workings of top luxury maisons, then forged in a startup studio. Now building the AI layer the fashion industry is missing.
EMP
Emanuele Martino Podo
Co-Founder & COO
From banking infrastructure to enterprise platforms, he builds the operational backbone that turns complex technology into reliable, scalable products.
FT
Federico Targa
Chief Technology Officer
Software engineer specialising in AI-driven platform development and scalable consumer technology systems.
GAP
Giuseppe Antonio Podo
Product Engineer
Trained at the intersection of computer science and music, he brings a rare sensibility for rhythm, structure and user experience to every product decision.

Where fashion meets intelligence

Let's build this together

Ready to shape
the future of
fashion retail?

We are at an early and decisive stage. The ideal moment for a strategic partnership that positions both Avenor and our partners at the forefront of AI-powered fashion commerce.

Talk to our team