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UONEX AI.

A conversational shopping platform for Indian malls. Shoppers describe what they want in their own words, slang included, instead of walking a directory store by store.

  • 60%Less time to discover a product
  • 3xEngagement and session duration
  • +40%Onboarding completion
Inorbit Mall, Kalyan West: a mall profile with rating, a store directory search and categoriesNike Factory Outlet store page with the store photo, rating, directions and products by categoryUONEX home screen: Discover Fashion, Shop Nearby, with a search bar, shopping near Mumbai, gender categories and new arrivalsProduct page for a reversible angora cardigan with images, price, discount, colours and sizesH&M brand page with followers, a follow button, a campaign banner and products in store

My role

Founding designer, and the only one.

No design team, no handoff templates, no design system and no prior research. In four months from research to App Store launch, every decision also had to be buildable by a small team, fast.

  1. 01

    Research and IA

    What Gen Z shoppers actually do in a mall, and the structure that follows from it.

    • Research and information architecture with no prior user research to build on
    • Dual-world architecture: AI World for intent, Browse World for exploration
  2. 02

    Product design

    Every screen, from onboarding to store profiles, built without an existing system.

    • Every product screen, with no existing design system
  3. 03

    Brand and launch

    The identity, the marketing system and the physical touchpoints in the mall.

    • Full visual identity and marketing system for the Indian market launch
    • In-mall QR signage and physical placement design
Worked with
The founder and a 3-person engineering team
Scope
Everything from the first user flow to the in-mall QR signage
Status
Live on the App Store and Play Store

Impact

  • Less time to discover a product

    60%

    We stopped making users speak algorithm.

  • Engagement and session duration

    3x

    Shoppers stayed when the mode fit.

  • Onboarding completion

    +40%

    A real result in the first 30 seconds.

  • Satisfied with recommendations

    70%

    From post-interview feedback.

  • Clients landed on the app design

    20+

    Won on the strength of the product.

Why do shoppers leave empty-handed?

Malls have everything. Finding it is the problem.

The problem

Malls have everything, but shoppers still leave empty-handed.

Hundreds of stores, and no way to find what you want quickly. Discovery meant memory, luck, or asking staff who may or may not know their own inventory.

  1. 01

    No cross-store visibility

    Nothing connected what a shopper wanted to which store had it, or where that store was.

  2. 02

    Directories repeat the problem

    Most apps answered with a directory, which is just a digital version of walking the mall.

  3. 03

    Two minutes, then they leave

    When shoppers can’t find something quickly, they don’t try harder. The outcome had to move from “gave up” to “bought it.”

The cross-store discovery gap in a multi-store mall

The cross-store discovery gap in a multi-store mall

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Search, or browse?

Both, in one app, without a switch.

The core decision

Two worlds in one app: AI for intent, Browse for wandering.

Most discovery apps pick a lane, search-first or browse-first, and lose whoever isn’t in that mode today. I built a dual-world architecture so the app matches how people actually shop: the AI World answers a specific want, the Browse World supports open exploration, and shoppers move between them without noticing a switch.

AI Worldfor intentBrowse Worldfor wanderingone app
Two modes, no switch. Shoppers move between them without noticing.

shoppers never see a switch

How should it feel?

Like texting someone who knows every store.

Decision 01 · Discovery

One conversational exchange, in the shopper’s own words.

Shoppers used to touch three to seven stores before finding what they came for. Now they type what they want the way they’d say it out loud. The system reads intent, searches every store in the mall, and returns ranked results with exact locations.

Conversational product discovery, typing a request in natural language and receiving ranked results with store locations

Conversational product discovery, typing a request in natural language and receiving ranked results with store locations

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Decision 02 · Modes

Moving between worlds without friction.

AI World handles intent, Browse World handles wandering, and both live in the same app. A shopper who came for one thing and started browsing never has to change apps or start over.

Moving between AI World and Browse World within the same app

Moving between AI World and Browse World within the same app

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Decision 03 · Onboarding

Onboarding that demonstrates instead of explains.

Users opened the app, couldn’t tell what it did, and closed it. I rebuilt onboarding around one real query and an actual result, so by the time setup finished, users had already used the core product.

Onboarding built around a real query returning an actual result

Onboarding built around a real query returning an actual result

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Decision 04 · Store profiles

Mapped to how people actually move through a mall.

Getting from "the AI found it" to "I’m standing in front of it" had to be frictionless. Store profiles show real-time availability alongside in-mall directions.

Store profiles showing real-time product availability alongside in-mall directions

Store profiles showing real-time product availability alongside in-mall directions

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Browse World

The mall, in your pocket.

Before anyone typed a word to the AI, there was the Browse World: the way in for shoppers who came to wander. Malls, stores, brands and products, laid out in the order you’d walk them, with editorial type, warm tones and one question answered on every screen: where can I get this near me?

From the mall to the cardigan

  1. UONEX home screen: Discover Fashion, Shop Nearby, with a search bar, shopping near Mumbai, gender categories and new arrivals

    01Home

    Start with who you’re shopping for, and what’s new nearby.

  2. Inorbit Mall, Kalyan West: a mall profile with rating, a store directory search and categories

    02Mall

    Every mall gets a profile, opening hours and a store directory.

  3. Nike Factory Outlet store page with the store photo, rating, directions and products by category

    03Store

    A store’s hours, rating and directions, then its products.

  4. H&M brand page with followers, a follow button, a campaign banner and products in store

    04Brand

    Brand pages with followers and what’s in store right now.

  5. Product page for a reversible angora cardigan with images, price, discount, colours and sizes

    05Product

    Colour, size and price, with offers in view.

  6. Product details with brand and store details and the same item also available at nearby Zara stores

    06Nearby

    The store it’s in, and the others close by that have it too.

  7. An autumn collection feature and a row of brands to explore with campaign images

    07Editorial

    Collections and brands to explore, set like a magazine.

Trade-offs · where it landed

Four months of picking a side, or refusing to.

Where most apps commit to one answer, UONEX kept both, and spoke the shopper’s language.

SEARCH-FIRSTBROWSE-FIRSTSEARCH SYNTAXNATURAL LANGUAGEEXPLAINDEMONSTRATEDATABASE ORDERPHYSICAL LAYOUTGENERIC APPCULTURALLY ROOTED

Small dots are what we considered. Big ones are where it landed.

Behind the work · 21 notes

A wall for a product that didn’t exist.

Four months, no research to build on and no design system, so everything started as a note.

  • Malls have everything
  • Shoppers leave in 2 minutes
  • 3 to 7 stores per search
  • A directory is the same problem
  • Talk like a friend
  • Slang is fine
  • Gen Z, busy mall, no patience
  • AI World for intent
  • Browse World for wandering
  • No mode switch
  • Onboard with a real query
  • First result in 30 sec
  • Found it → standing in front of it
  • Store map, not a database
  • Real-time availability
  • Ranked results + location
  • No design system yet
  • Small eng team, ship fast
  • QR signage in the mall
  • Brand for the India launch
  • Social content for launch

What went beyond the app?

The brand was working before anyone opened it.

Beyond the app

The first impression was already working before anyone opened the app.

  1. 01

    Visual identity

    A visual identity designed for the Indian launch.

  2. 02

    In-mall QR signage

    Physical placement that turned foot traffic into organic downloads.

  3. 03

    Launch and social

    The marketing system and social content that carried the brand into launch.

Conclusion:

What this project was really about.

Conclusion

Making a mall feel intelligent took more than a smarter search bar. It meant designing for how people actually move, talk and decide, then building both the product and the physical context around it. 60% less search time was the stat. What it meant was that shoppers trusted the app enough to stop wandering.

Bhavesh Mhatre

Product designer in New York, designing the systems underneath the screens.

Reading

  • Immortals of Meluha
  • Surrounded by Psychopaths

Watching

  • Lenny’s Podcast
  • Formula 1
  • UEFA Champions League

Learning

  • Sustainable & circular design
  • Physics-aware AI & simulation

Painting

  • Krishna portrait
Everythingoesev·ry·thing·goes nounEverything goes somewhere. Every idea evolves, every experience leaves something behind, and every ending makes room for a beginning. Nothing stays the same, and perhaps that’s the beauty of it all.The purpose of life is experience.

© 2026 Bhavesh Mhatredesign@bhaveshmhatre.com