A woman in a plum kurta
A man in a rust shirt

Colour, your way

Face shapeBody shapeSkin tone

Editorial imagery. Personalization is optional style guidance.

Stylz Sense · AI Personalization

Built around your shoppers. Not one standard of beauty.

Help shoppers explore your catalogue through face shape, self-selected body shape and personal colour. Style guidance for Indian fashion — not rules about how anyone should look.

For fashion brands, D2C teams and ecommerce retailers.

One catalogue. Many perspectives.

One catalogue. Different ways to find your style.

Build on your existing discovery experience with another lens: the individual. Personalization can surface different routes through the products you already sell.

A shared starting point

The same collection, in catalogue order.

  • Relaxed kurta

  • Draped co-ord

  • Linen shirt

Illustrative UI concept · not a live recommendation

An individual starting point

Explore shape, colour and preference together.

  • Draped co-ord

    Fluid layers

  • Relaxed kurta

    Easy silhouette

  • Linen shirt

    Warm colour

Illustrative UI concept · not a live recommendation

A different order is a starting point, not a restriction. Shoppers should stay free to browse beyond any suggestion.

01 / Personalization signal

Face Shape Intelligence

Proportions as a style signal. Not a beauty score.

The signal
The published journey uses a guided selfie to derive face shape. Facial proportions are one input for style exploration.
For the shopper
Offer another way to consider neckline and garment-detail choices, alongside personal preferences.
For your brand
Make relevant catalogue attributes easier to explore. Confirm supported apparel categories in a demo.

Not attractiveness assessment or identity recognition.

A woman in a plum kurta
A style lens, not a labelExplore neckline details. Keep personal taste in the lead.

02 / Personalization signal

Body Shape Intelligence

More ways to explore a silhouette. No “ideal” body.

The signal
Shoppers self-select a body shape in the published B2B journey. This is not an automatic body scan.
For the shopper
Discover cuts, proportions and silhouettes that reflect how they want to dress.
For your brand
Connect product shapes and styling details to individual discovery paths.

Not body measurement, garment sizing or a fit guarantee.

A woman in a green kurta and white trousers
Selected by the shopperExplore fluid layers, relaxed cuts and different proportions.

03 / Personalization signal

Skin Tone and Colour Intelligence

Colour discovery without a hierarchy of skin tones.

The signal
The published journey derives a colour season from a guided selfie. Lighting and capture conditions deserve review.
For the shopper
Explore a personal palette as inspiration — and choose any colour they love.
For your brand
Give colour-rich collections another route to discovery, across ethnic and contemporary wear.

Optional guidance. Never a skin-tone ranking or a universal rule.

A man in a rust shirt
A palette to exploreRust · Plum · Forest. Inspiration, not colours to avoid.RustPlumForest

Individuals, not averages

Indian fashion has many stories. So do your shoppers.

A sari for a celebration. A kurta for work. Contemporary layers for every day. Shape and colour sit alongside preference, occasion and the choices that make style personal.

Five friends in sarees, kurtas and contemporary clothes in a sandstone courtyard
  • Many ways to dress

    Ethnic, contemporary and everything in between.

  • One person, many contexts

    Preferences can change with mood and occasion.

  • No regional shortcuts

    Individual variation matters more than a label.

Editorial representation, not evidence of dataset composition or population coverage.

From input to exploration

A personal journey. In three steps.

  1. 01

    Understand the shopper

    Phone OTP, styling choice, self-selected body shape and guided selfie in the published journey.

  2. 02

    Personalize discovery

    Use style signals to inform recommendations from your own catalogue.

  3. 03

    Help shoppers explore

    Offer reasons to consider different pieces. Leave the final choice with the shopper.

Published product journey shown for context. Confirm input choices, consent and supported categories for your launch.

For merchandising, product and ecommerce teams

Built for better questions. Not bigger claims.

  • Discovery

    More relevant discovery

    Give shoppers an individual starting point within the catalogue they came to explore.

  • Exploration

    Better product exploration

    Help shoppers consider cuts, details and colours beyond the filters they usually use.

  • Understanding

    Deeper shopper understanding

    Explore aggregated signals with your team, subject to data practices and report availability.

These are benefits to evaluate in a pilot, not verified conversion, sales or returns outcomes.

The experience, in context

Your products. A more personal way in.

STYLZ SENSEReference preview

Complete the look on a store, with an outfit score on each piece
Supplied brand-reference imagery. Preview only; confirm the current experience and category support in a demo.

Illustrative explanation

Reasons to explore. Room to choose.

  • Face shapeA lens on garment details.
  • Body shapeSelf-selected proportions and silhouettes.
  • Skin tone & colourA starting palette, not a limit.

The public product describes style, fit and colour scores. These are not garment measurements or guarantees.

Responsible personalization

Personalization should feel helpful. Never intrusive.

A selfie is a meaningful ask. Make the purpose clear, keep style guidance optional and review data practices before you launch.

Read the privacy policy ↗
  • Explain the input

    What is collected, why it is needed and which choices a shopper has.

  • Review the lifecycle

    Confirm processing locations, retention, training use and erasure.

  • Keep people in control

    Validate consent, alternative journeys and help routes with your product team.

Questions brands
ask in demo

Will it slow my store down?

No. The plugin loads after your page and only draws the badge once the product images are in. Nothing blocks your first paint.

Do my shoppers need the Stylz app?

No. Everything runs inside your store in the browser. A profile made on your store also works in the Stylz app, and vice versa.

What does setup involve?

You give us access; we install the plugin, switch on the features you want and fit the design to your theme. Typically live within 24 hours.

What does the pilot cost?

Nothing for 60 days. No platform fee, no catalogue work. We agree commercial terms before day 60; nothing is charged automatically.

Can I control which features show?

Yes. Each feature — banner, badge on product pages, badge on collections, complete-the-look on product pages and in cart, each search mode, the just-for-you page — has its own switch in your admin.

Does it work with my theme?

It works with standard themes out of the box. Where a theme needs it — a chat widget in the way, a sticky add-to-cart bar — we adjust placement per store.

Do my product photos need to be a certain way?

Standard front-facing product photography works — on a model or flat-lay. We check your imagery in week 1 and tell you if anything needs attention.

Is it built for India?

Yes. Phone-first login, and models trained on Indian body types, skin tones and occasions.

What happens to the data if I uninstall?

Uninstall triggers store-data erasure. Shoppers keep their own Stylz profile, which belongs to them.

Let’s explore your catalogue

Make fashion discovery feel more personal.

See the shopper journey, discuss category support and agree what to validate for your brand.

Book a Demo