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Entrepreneurship · Mock
App + Web + Brand Business Model Canvas Gen Z target

StyleSmart — Your Virtual Fashion Stylist

A complete entrepreneurial concept for an AI-powered fashion assistant that picks outfits from your wardrobe daily, suggests new pieces to buy, and integrates budget-friendly shopping portals — so you no longer have to think about what to wear, again.

£20kAI build cost
£360BGen Z spend power
25%Global Gen Z share
£20/moSubscription price
Ideation & strategy

Ideation & strategy

Concept, USP, market thesis

UX / UI design

UX / UI design

App screens, wardrobe flows, prototyping

Web design

Web design

Live brand site & art direction

Business canvas

Business canvas

Full BMC — partners, costs, revenue

Gap in market

No on-demand styling exists

Personal stylists charge £100–£200/session. Existing platforms take 3–4 days and are inaccessible for Gen Z students and young professionals.

The pain point

Getting dressed is draining

Choosing outfits daily costs time, decision energy and mental bandwidth. Existing apps take 3–4 days and don't save you outfits in real time.

On-demand stylist

AI picks your outfit, daily

Personalised recommendations — event-wise, mood-wise, weather-wise — built from clothes you already own.

Shop high-street

Budget shopping, built in

Integrated access to affordable fashion retailers in one place. Buy a piece, it auto-syncs to your wardrobe — no manual updates.

Onboarding

Welcome & wardrobe set-up

User uploads existing wardrobe via photo or browsing partner apps — AI tags the pieces by fit, colour and category.

Daily outfit

Today's look

Morning outfit recommendation. AI considers location, weather, calendar event and your style preferences.

Wardrobe Manager

Your digital closet

Track how much, how often and how loved each piece of your wardrobe is. Mark items as laundry to swap suggestions — promotes sustainability.

Social Layer

Share & get feedback

Share outfit polls to Instagram, Snapchat or TikTok directly. Built-in voting from your own community.

App prototype walkthrough
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Website walkthrough
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25%

Gen Z's share of the world's population — our target segment

£360B

Combined purchasing power held by Gen Z worldwide

#1

Fashion is Gen Z's top spending category, year over year

Stylist match

Wishi

Matches you with a human stylist who builds a mood board over the course of 4–7 days. Slow to mid for modelling everyday outfits.

3–7 days lead time
Pay-per-consult

Stitch Fix · Armoire · Dia & Co

Online stylists recommend pieces to buy. The full process takes 3–4 days, costing £20+ depending on the package.

£20+ per consult
Creator tool

Combyne

Outfit creation platform — a canvas to mix creative looks, but it does not pair from the clothes you already own or shop for you.

No AI · No commerce
Our positioning

StyleSmart

Instant, personal, affordable. All wear-options live in one place — pulled from your own wardrobe plus partner stores — for £20/month.

Instant · £20/mo
Subscription model
£20 / month

Subscription model

Seven-day free trial, then £20/month for the full styling, shopping and wardrobe management toolkit.

Affiliate commission
% per sale

Affiliate commission

Earn a set percentage on every purchase made through the app, by partnering with online stores within the platform.

Advertising
£1 / click

Advertising

Fashion brands pay to feature banner ads or sponsored content — charged per impression or per click.

White-label solution
£150–£250 set-up

White-label solution

Partner brands license our app, customise it with their branding and inventory — recurring £50/mo maintenance.

Insight 01

Styling advice is the gap — not shopping

Competitors jump straight to buying. StyleSmart serves the 'what do I wear today' decision first.

Insight 02

£100–£200/session puts stylists out of reach

Affordable subscription bridges the gap between high-cost stylists and zero help at all.

Insight 03

Sustainability is a by-product

By maximising use of your existing wardrobe, StyleSmart reduces the impulse to constantly buy new clothes.

Insight 04

Style confidence is daily need, not a luxury

The core insight that turns a style decision tool into business that converts everyday consumers.

Key Partners

Key Partners

  • AI / Machine Learning experts
  • Cloud computing providers
  • Affordable fashion brands
  • Influencers + social platforms
Key Activities

Key Activities

  • Refining the AI styling algorithm
  • Customer data collection
  • Third-party app integration
  • Brand partnerships + community
Customer Segments

Customer Segments

  • Busy Gen Z (16–24)
  • Style-conscious individuals
  • Budget-conscious students
  • Youth wanting personalisation
Channels

Channels

  • Google Play + Apple App Store
  • Instagram, Snapchat, TikTok
  • Influencer partnerships
  • Word of mouth + email
Customer Relationships

Customer Relationships

  • Get: Partners' 'Add to wardrobe' button
  • Keep: First month free + reward points
  • Grow: Social, partners & referrals
  • In-app chat + email support
Cost Structure

Cost Structure

  • AI engine: £20–30k to develop
  • App development: ~£7k
  • Marketing: £100s/mo+ paid social
  • Hosting, servers, salaries
01

Research

Market sizing + competitor scan

02

Strategy

BMC + GTM positioning

03

Design

App flows + brand identity

04

Prototype

Hi-fi screens + sample site

05

Launch

Go-to-market & pitch deck

CanvaAdobe IllustratorFigmaFigjamInstagramNotion

Khushi Vijay

Design + Strategy lead

Vaishnavi Hegde

Research + BMC

Alyna Fatima

Marketing + Brand

"StyleSmart started as a question — why was getting dressed still so hard? The answer became a full pitched solution: AI that knows your wardrobe, your budget and your event — and shows up for you every single morning."