See it working

For Indian ethnic wear stores

Turn every late-night question into a sale.

Clarisell is the sales assistant for Indian ethnic wear stores. It asks what she is shopping for, answers on fit and fabric, remembers her next visit, and takes her from question to cart.

See it workingWatch the one-minute story

One evening, start to finish

See what happens when every question gets an answer.

A sample conversation, about a minute long.

Chapter 1 of 5

Sells proactively

“Help me find a product.”

Then it shows what the store really has. Not thirty that match a keyword.

A sample conversation. Order changes and returns started in chat work for signed-in shoppers.

The conversation, as text

Sells proactively

The shopper: Help me find a product.

  • Shopper taps: Help me find a product
  • Clarisell: Welcome to our collection. These are a few popular pieces to start with, and we'll help narrow it down for you.
  • Clarisell asks (1 of 5): Who are you shopping for? Shopper picks: Women
  • Clarisell asks (2 of 5): What's the occasion? Shopper picks: Sangeet / Cocktail / Party
  • Clarisell asks (3 of 5): What kind of product? Shopper picks: Lehengas
  • Clarisell asks (4 of 5): Any particular type? Shopper picks: Jacket Lehenga
  • Clarisell asks (5 of 5): Ready to wear, or stitched to your measurements? Shopper picks: Ready-to-wear
  • Clarisell: Our ready-to-wear collection includes these lehengas, with a few additional suggestions alongside.
  • Shows (Matching): Wine raw-silk lehenga, ₹58,000; Ivory organza lehenga, ₹46,500; Sage zari lehenga, ₹34,000

More sales

The shopper: I'll take this one. What goes with it?

  • Shows: Wine raw-silk lehenga, ₹58,000
  • Shopper: What goes with this lehenga?
  • Clarisell: It pairs beautifully with an ivory net dupatta, and here are a few more pieces that go with it.
  • Shows (Matching): Ivory net dupatta, ₹4,200; Sage zari dupatta, ₹5,800
  • Cart: 2 items · ₹62,200. Checkout opens on the store.

Fewer returns

The shopper: Will it fit? Every label means something different.

  • Shopper: Which size should I order? Bust 36, waist 30.
  • Clarisell: For the Wine raw-silk lehenga, the store's chart places you in size M: bust 36, waist 30, hip 40 inches. Size M is in stock, with only 2 left.
  • Shows: Wine raw-silk lehenga, ₹58,000

Support at any hour

The shopper: Where is my order?

  • Shopper: Where is my order?
  • Clarisell: Sure. Please share your order number and the email or phone used when ordering.
  • Shopper: #1042, shopper@example.com
  • Order #1042: Confirmed · ships tomorrow
  • Shopper: Can I get a handwritten gift note?
  • Clarisell: I don't have that detail to hand. Shall I check this with our team for you?
  • Shopper taps: Yes, please
  • Clarisell: I've passed this conversation on to the store's team.

Trust in your brand

The shopper: I have never heard of this brand.

  • Shopper taps: Return & refund policy
  • Clarisell: Returns and exchanges are accepted for unused pieces with original tags and packaging. Made-to-measure pieces cannot be returned. Refunds go back to the original payment method.
  • Shopper taps: Continue shopping
  • The store sees what shoppers asked for: Heavy lehenga, wine, under ₹80,000, 14 shoppers, nothing matched; Ready-to-wear sherwani, delivery under 10 days, 9 shoppers, nothing matched; Pastel organza saree for a day mehendi, 7 shoppers, found; Plus-size anarkali, above size 44, 6 shoppers, nothing matched. Sample data.

Put an owner on the twenty minutes nobody covers.

A shopper finds a lehenga she loves at 11 pm. Can it be stitched and delivered before the fourteenth? Will the wine shade work under hall lighting? There is nobody to ask, and she does not fill in a contact form at midnight. She opens the next tab.

And it is nobody's fault, which is the actual problem. Somebody owns your photography. Somebody owns the ads. Somebody owns the shop floor, and is very good at it. The twenty minutes where a shopper is deciding, on a phone, at night, belong to no one.

Clarisell takes them over.

What changes

Five things you will notice on your store.

  1. 01

    It sells proactively.

    It does not wait for her to know what to type. It asks who it is for, the occasion, the kind of piece and her taste, using the questions your own catalogue calls for, then shows what fits and asks the next thing.

  2. 02

    More sales.

    She adds to her real cart without leaving the chat, sees what goes with the piece she chose, and pays on your own store's checkout. We never touch payment.

  3. 03

    Fewer returns.

    Which size, is it in stock, how long will it take. She gets the answers before she orders, from your own size chart and product details, and it never picks a size of its own.

  4. 04

    Support at any hour.

    Order status, delivery and policy questions, and returns and exchanges for signed-in shoppers, answered at 11 pm or 11 am. What needs a person can be passed to your team.

  5. 05

    Trust in your brand.

    A shopper who has never heard of you has doubts. Ask whether it can be trusted and it answers from what your store publishes, for example support hours, payment options, shipping and returns, in your own numbers. It says only what your pages say.

What shoppers asked for

Last 7 days · sample data

  • Heavy lehenga, wine, under ₹80,000

    14 shoppersNothing matched

  • Ready-to-wear sherwani, delivery under 10 days

    9 shoppersNothing matched

  • Pastel organza saree for a day mehendi

    7 shoppersFound

  • Plus-size anarkali, above size 44

    6 shoppersNothing matched

Already happening

The biggest stores in the world already sell this way.

Amazon, Walmart and Myntra built shopping assistants of their own, and they report what it does for them. Your store does not need an engineering team to join them.

Amazon · Rufus

Nearly$12 billion

in incremental annualized sales in 2025, which Amazon credits to Rufus, its shopping assistant. More than 300 million customers used it.

Amazon's own estimate, not reported revenue.

Amazon Q4 2025 results, 5 Feb 2026

Walmart · Sparky

40%

more spent per order by customers who shop with Sparky, Walmart's assistant, than by those who do not.

A comparison of users with non-users, not a controlled test.

Walmart Q2 FY27 earnings call, 20 Aug 2026

Myntra · AI shopping tools

2X

higher conversion, according to a Myntra senior vice president, from its AI shopping tools.

Company-reported. The method is not given.

Inc42, 9 Jun 2026

These are their numbers, not ours. We will publish ours when a store has a measured result.

Core features

Everything in the chat, and everything behind it.

Remembers every shopper

  • A profile for each person she shops for: me, my sister, my mother.
  • Her answers saved, so she never repeats them, and she can review and change them.
  • Past chats she can reopen, archive or delete.
  • Nothing is saved until she agrees.

Finds the right piece

  • Asks who it is for, what she needs and her taste, then shows what fits.
  • Search by typing or by photo.
  • Checks live stock before it shows anything.
  • Sorts by price and discount when she asks.
  • Tested in 12 Indian languages, in their own script.

Closes the sale

  • Adds to her real cart inside the chat.
  • Opens your store's own checkout. We never touch payment.
  • Matches her size to your own size charts, and never invents one.
  • Size guides on every product.

Knows ethnic wear

  • Semi-stitched, custom-tailored or ready to wear, and what each means for delivery
  • Mehendi, haldi, sangeet and reception are not one occasion
  • Which fabrics survive a June wedding and which do not
  • What the embroidery is, and what it costs to alter
  • Cross-brand sizing, where the same M spans four inches
  • A kurta for a Tuesday and a sherwani for a wedding are not the same sale

Looks after her after the sale

  • Order tracking, with the order number and her email or phone.
  • Cancels or edits an unshipped order, and opens returns and exchanges, for signed-in shoppers, always after a clear yes.
  • Restock alerts when a size is back.
  • Answers from your policies, shipping and exchange pages.
  • Hands over to your team's inbox when a person should step in.

Keeps you in control

  • Switch add to cart, order tracking, restock alerts, order changes and handoff on or off.
  • A demand report of what shoppers asked for and could not find.
  • A support inbox where your team can reply or take over.
  • Sizing gaps and catalogue health, so you know what to fix.

What it is not.

Not another app you switch on and hope.

We set it up with you, read your catalogue, and fill in what your product pages never say.

Not a search bar with a chat skin.

It asks first.

Hallucination free.

Every piece it shows her is one you actually stock, at the price you set. It cannot invent one to fill a gap.

How it starts

Live on your store in hours. We set it up with you.

  1. 01

    Connect your Shopify store.

    A short setup that we do with you.

  2. 02

    We read your catalogue.

    And fill in what your product pages never say: the occasion, the fabric, the delivery.

  3. 03

    You see it on your own products.

    A real conversation on your catalogue first. Then you switch it on.

Put it on your store.

We set it up with you, personally.

See it working

A ten minute call. If it is not right for your store, we will say so.