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Arcade Alliance

Live demo · AI tool · Restaurants, hotels, clinics & retail chains

What 400 reviews say, in one screen.

Every review from every platform, read and sorted by topic and feeling for each outlet. Replies are drafted in your tone; hygiene and staff complaints go straight to the manager.

Try it live Make it yours

The problem

“We have thousands of Google reviews and no idea what they say overall.”
The problem this demo is built to solveLive demo · sample data

What is review sentiment analysis?

Review sentiment analysis uses AI to read every customer review — from Google, Zomato, Swiggy, booking sites and more — and sort it by topic (taste, delivery, staff, price, hygiene) and by positive or negative feeling. For a business with several outlets, it shows what each outlet does well and badly, drafts replies, and sends serious complaints to the right manager.

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

Knowing what reviews say

Before: A few read by handWith the system: All sorted by topic and outlet

How the system works · how we measured

In the demo a week’s reviews are collected, tagged by topic and sentiment, compared by outlet and given reply drafts in one run.

01 · The problem

What problem does it solve?

A restaurant brand with four outlets gets 400 reviews a week across Google, Zomato and Swiggy. Managers read a few, reply to fewer, and the owner looks only at the star rating.

One outlet’s delivery times have been slipping for a month, but the 4.2 average hides it.

  • Hidden problems

    Averages hide one outlet’s slide.

  • Unanswered reviews

    Customers who complained hear nothing.

  • Slow escalation

    Hygiene complaints found days later.

  • Manual reading

    Hours a week, and still not everything.

02 · The solution

How does Review Sentiment Analysis fix it?

  1. 01

    Collect everything

    Reviews from Google, delivery apps and booking sites, gathered daily.

  2. 02

    Topics and feeling

    Each review is tagged by topic and sentiment, even when it praises the food and complains about the wait.

  3. 03

    Compare outlets

    Each outlet against its own past and the others, topic by topic.

  4. 04

    Reply and escalate

    Drafted replies for approval; hygiene, safety and staff complaints go to the manager at once.

03 · The result

What changes?

Knowing what reviews say

Before: A few read by handWith the system: All sorted by topic and outlet

How the system works · how we measured

In the demo a week’s reviews are collected, tagged by topic and sentiment, compared by outlet and given reply drafts in one run.

Review, every platform
Every
And sentiment per outlet
Topics
Replies in your tone
Drafts
Serious complaints, same day
Escalated

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. 1See which topic gets more complaints than praise.
  2. 2Approve all the drafted replies.
  3. 3Read this week’s reviews and compare the outlets.
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
  • Reading reviewsToday: A few, by handWith the system: All of them, sorted
  • ProblemsToday: Hidden in the averageWith the system: By topic and outlet
  • RepliesToday: Some, eventuallyWith the system: Drafted for approval
  • Serious complaintsToday: Found laterWith the system: Sent to the manager the same day

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

49 hours a month

About 6.1 working days back every month.

1,732 review read and answereds a month × 1.7 minutes saved each. Your numbers stay in this browser.

Make it yours

Built around your business.

Choose what your version of Review Sentiment Analysis needs. Your brief builds itself — send it, and we reply with a plan.

Often asked for by businesses like yours

  • Your topics (rooms, doctors, delivery…)
  • Reply tone and sign-off
  • What counts as serious
  • Which manager gets which outlet
  • Platforms you care about
Always included
  • Review collection
  • Topics & sentiment
  • Outlet comparison
  • Reply drafts
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

  • Google, Zomato, Swiggy & booking-site reviews
  • Outlet list
  • Your reply tone

The engine

  • Topic & sentiment model
  • Outlet comparison
  • Reply drafting & escalation rules

Outputs

  • Topic dashboard
  • Reply drafts
  • Weekly report per outlet

Modules

  • Review collection
  • Topics & sentiment
  • Outlet comparison
  • Reply drafts
  • Escalation of serious complaints
  • Weekly report

Connects to

  • Google Business Profile
  • Zomato & Swiggy exports
  • Booking.com / MakeMyTrip
  • Practo
  • WhatsApp Business API

Stack

  • Claude / GPT for topics & replies
  • Google Business Profile API
  • Delivery-platform exports
  • PostgreSQL
  • WhatsApp alerts for managers

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.

  • Reply rate

    Reviews answered within 48 hours.

  • Negative share

    By topic and outlet, week on week.

  • Escalation time

    Complaint to manager response.

  • Rating trend

    Per outlet and platform.

FAQ

Review Sentiment Analysis FAQ

All questions →
What is review sentiment analysis?

Review sentiment analysis uses AI to read every customer review — from Google, Zomato, Swiggy, booking sites and more — and sort it by topic (taste, delivery, staff, price, hygiene) and by positive or negative feeling. For a business with several outlets, it shows what each outlet does well and badly, drafts replies, and sends serious complaints to the right manager.

Which review sites can it read?

Google through its API; delivery and booking platforms through the exports or partner access they offer. We confirm what is available for your listings.

Can it post replies automatically?

It drafts them; a manager approves. Some businesses let it auto-post thank-yous to 5-star reviews only.

Does it understand Hinglish reviews?

Yes — reviews in Hindi, Hinglish and English are tagged the same way.

How is this different from the star rating?

The rating tells you how people feel; topics tell you why — and which outlet to fix.

Can it track competitors?

As an add-on, public reviews of nearby competitors can be compared topic by topic.

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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