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Arcade Alliance

Live demo · AI tool · Online stores & D2C brands

The salesperson your website was missing.

Shoppers say what they need in their own words. The assistant asks two questions, recommends from your catalogue with reasons, compares the options and adds the right size to the cart.

Try it live Make it yours

The problem

“Shoppers can’t decide between products and leave to “think about it”.”
The problem this demo is built to solveLive demo · sample data

What is an AI shopping assistant?

An AI shopping assistant is a chat on your online store that helps a shopper choose, the way a good salesperson would: it asks a few questions, recommends two or three products from your own catalogue with the reasons, compares them, checks the size is in stock and adds the choice to the cart. It answers delivery and return questions too, and hands over to a person when needed.

Built around your workflow: this demo is a starting point — screens, fields, rules and integrations are made to fit your business.

From question to cart

Before: Five tabs and a guessWith the system: 3 messages

Counted on the demo · how we measured

Counted on the demo: say how you run, pick a suggestion and give your size — the shoe is in the cart after three messages.

01 · The problem

What problem does it solve?

A sportswear D2C brand sells 140 shoe styles online. Shoppers compare five tabs, can’t tell which shoe suits flat feet or the treadmill, and leave to “think about it”. Wrong-size orders make up a large share of returns.

In the brand’s own store, a staff member asks three questions and sells the right shoe in two minutes. Online, nobody asks.

  • Undecided shoppers

    Leave with full tabs and an empty cart.

  • Wrong choices

    Returns from the wrong model or size.

  • Repeated questions

    Support answers “which one is better?” all day.

  • Lost insight

    Nobody knows what shoppers were looking for.

02 · The solution

How does AI Shopping Assistant fix it?

  1. 01

    Ask like a salesperson

    Two or three questions about use, fit and budget — in the shopper’s words, not a form.

  2. 02

    Recommend from your catalogue

    Only products you sell and have in stock, with reasons taken from your specs and reviews.

  3. 03

    Compare and add to cart

    Side-by-side differences on request, and the right size added to the cart in the chat.

  4. 04

    Answer and hand over

    Delivery, returns and offers from your policies; a person takes over when asked.

03 · The result

What changes?

From question to cart

Before: Five tabs and a guessWith the system: 3 messages

Counted on the demo · how we measured

Counted on the demo: say how you run, pick a suggestion and give your size — the shoe is in the cart after three messages.

Products suggested, with reasons
2–3
Catalogue and stock only
Your
Size added in the chat
Cart
To your store team
Handover

Live demo

Try it live.

A scripted demo with sample data, so it behaves the same for everyone. Nothing you do here is saved or sent anywhere.
  1. 1Ask which shoe suits flat feet, then compare the two it suggests.
  2. 2Pick a size and watch it go into the cart.
  3. 3Ask about returns, or for a person.
Make it yours
Loading the demo…

Before & after

The same day, two ways.

Watch each task move from the way it’s done today to the way it runs on the system — or drag the slider yourself.
Today
With the system
  • ChoosingToday: Five tabs and guessworkWith the system: Two questions, two suggestions
  • ComparisonsToday: Spec sheetsWith the system: The difference in plain words
  • SizeToday: GuessedWith the system: Checked against stock
  • What shoppers wantToday: UnknownWith the system: In the chat reports

Your numbers

What could it save you?

Put in your own volume and timing. It’s your estimate, worked out in your browser — not a promise from us.
min
min

Our estimate for the same task — change it if you like.

₹ / hr

Your estimate

117 hours a month

About 14.6 working days back every month.

1,560 “which one should I buy?” chats a month (26 working days) × 4.5 minutes saved each. Your numbers stay in this browser.

Make it yours

Built around your business.

Choose what your version of AI Shopping Assistant needs. Your brief builds itself — send it, and we reply with a plan.

Often asked for by businesses like yours

  • The questions your best salesperson asks
  • Brand tone
  • Products never to push
  • When to offer a person
  • Margin-aware suggestions
Always included
  • Guided questions
  • Catalogue recommendations
  • Add to cart
  • Policy answers
Add modules
Connect to the tools you use
Runs on
Languages
Hosting
Team size

Under the hood

How is it built?

Where the data comes from, what the system does with it, and what comes out.

Inputs

  • Catalogue, specs & stock
  • Reviews & size charts
  • Store policies

The engine

  • Guided questions
  • Retrieval over your catalogue
  • Cart and stock tools

Outputs

  • Recommendations with reasons
  • Items added to the cart
  • Reports on what shoppers ask

Modules

  • Guided questions
  • Recommendations from your catalogue
  • Compare products
  • Add to cart
  • Returns & delivery answers
  • Conversion analytics

Connects to

  • Shopify
  • WooCommerce
  • Your custom store
  • Inventory systems
  • WhatsApp Business API
  • Google Analytics 4

Stack

  • Claude / GPT / Gemini
  • Vector search over the catalogue
  • Shopify / WooCommerce / custom store API
  • Inventory API
  • WhatsApp (optional)

Proof, the honest way

What would you measure?

This is a demo, so we don’t claim client results. In a real roll-out, these are the numbers we track from week one — before and after.

  • Chat-to-cart rate

    Chats that end with an item added.

  • Conversion

    Shoppers who chat vs those who don’t.

  • Size returns

    For products bought after a chat.

  • Unanswered questions

    Gaps in your catalogue information.

FAQ

AI Shopping Assistant FAQ

All questions →
What is an AI shopping assistant?

An AI shopping assistant is a chat on your online store that helps a shopper choose, the way a good salesperson would: it asks a few questions, recommends two or three products from your own catalogue with the reasons, compares them, checks the size is in stock and adds the choice to the cart. It answers delivery and return questions too, and hands over to a person when needed.

Will it recommend products we don’t sell?

No. It searches only your catalogue and stock, and says so when nothing fits rather than inventing a product.

Does it work with Shopify?

Yes — Shopify, WooCommerce or a custom store, through their APIs for products, stock and the cart.

Can it explain why it suggests something?

Every suggestion comes with reasons drawn from your product specs and reviews, which shoppers trust more than a bare list.

Can it answer delivery and return questions too?

Yes — from your own policies, with the source shown — and it hands over to your team for order-specific problems.

Will it push the most expensive item?

Only if you tell it to. Most brands ask it to suggest the best fit first, which cuts returns.

Built around you

Every demo is a starting point.

Nothing here is sold as-is. Each one is rebuilt around your business — these are the things we tailor on every project.

  • Your workflow

    Steps, approvals and statuses the way your team works today.

  • Roles & permissions

    Who sees and changes what — by branch, team or person.

  • Fields & forms

    Your terms, your fields, your numbering and units.

  • Reports

    The numbers you check every day, in your format.

  • Integrations

    Tally, WhatsApp, payments, couriers and the tools you already use.

  • Your brand

    Your name, logo and colours on every screen and document.

  • Language

    English, Hindi or a regional language for staff and customers.

  • Hosting

    Our cloud, your cloud account or your own server.

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Updated 30 Oct 2026 · Arcade Alliance Network is a web, app, software and AI development company in Lucknow, India, building custom software for businesses in India and worldwide.

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