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Case study AI app

How Provis built Gyanee.ai, an AI shopping assistant that finds the best deal, coupon, card offer and cashback in one chat.

Gyanee.ai is a free assistant for Indian online shoppers. They ask by text or voice and get the best price, coupons, card offers and cashback in one place. Provis built the Flutter app, the AI backend, the website and the admin tools.

  • Flutter app
  • AI backend
  • Website
  • Admin panel
The Gyanee.ai home page as it is live in October 2026: "Just ask. Get the best deal.", the App Store and Google Play buttons, two chat phones and the store logos
The Gyanee.ai app home screen: the My cards strip, quick prompts such as Find a deal and Compare phones, and a box to type or speak
Gyanee.aiBuilt by Provis Technologies
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What the product delivers

Ask one question, by text or voice, and get the best deal.

From the Gyanee.ai app, its app store pages and its offer data.

9
languages
Including English, Hindi and Hinglish, so shoppers can ask the way they talk
119/119
SBI card offers now work
Before the fix, none of them could be shown to shoppers. Now all of them can.
3,056
card offers
From HDFC, SBI, Axis and Kotak, as of October 2026

At a glance

  1. Problem

    Finding every coupon, card offer and cashback for one purchase took too many sites, so shoppers gave up and paid full price.

  2. Solution

    A chat assistant, by text or voice, that finds deals, coupons and card offers from one question and knows which of the shopper's own cards to use.

  3. Result

    An app on Google Play and the App Store, with a website, web chat, an admin panel and a sales-agent panel, working in 9 languages.

Product
Gyanee.ai, an AI shopping assistant
Industry
Consumer apps (shopping): the best price, coupons, card offers and cashback
Market
India
Platform
Android and iPhone app, website with web chat, admin panel and a panel for sales agents
Services
App development, AI development, website, admin tools, deal and offer data
Languages
English, Hindi, Hinglish, Bengali, Gujarati, Kannada, Marathi, Tamil, Telugu
Built with
Flutter; FastAPI on Python 3.12, PostgreSQL with pgvector, Redis; LangChain and LangGraph calling AI models through OpenRouter; Sarvam AI for voice; Next.js for the website and panels; headless WordPress for the blog; Docker Compose behind nginx
Connected tools
Cuelinks (deals, coupons, cashback), GyFTR vouchers, MSG91 (OTP over WhatsApp), Sign in with Apple, PostHog
The situation

Saving money on one purchase meant five separate jobs.

Gyanee.ai is a free assistant for Indian online shoppers. It earns affiliate commission when a user buys through a tracked link.

This is how a shopper looked for savings before, from the product's own overview. It says most people give up halfway and pay more.

How a shopper looked for savings

  1. Compare priceson Amazon, Flipkart, Myntra and more
  2. Search for coupon codesmany of them expired
  3. Remember the cardwhich credit card has a discount this week
  4. Check a gift voucherto see if it saves more
  5. Log into a cashback siteseparately

Gyanee.ai does all five from one question.

The problems, and what fixed each

Finding deals was easy. Showing only deals that are true was the hard part.

Four problems Provis found while real people used the app, and how each one was fixed.

  1. Answers took 15 to 25 seconds to appear

    The app waited for the full answer before showing anything, so people looked at a blank screen for up to 25 seconds.

    What Provis builtAnswers now appear as they are written

    The reply shows word by word, then the deal cards. While the app searches, a short message ("Searching for deals…") is shown. If the connection drops, the app reloads the conversation, and older versions of the app keep working.

  2. SBI card offers were saved but never shown

    Provis had saved 119 SBI card offers, but every one was missing its dates, so the app hid all of them.

    What Provis builtOffers read from the right page, with their dates

    The offers are now read from SBI's main offers page, which lists the dates, eligible cards and category of each offer. All 119 offers now show with the right dates, and loading them takes one page instead of about 120.

  3. The app gave the wrong card advice for a shop

    A tester with an Axis Bank Flipkart card asked which card is best on Flipkart. The app said 1% cashback, but that card gives 5% on Flipkart.

    What Provis builtCard advice that knows each shop's offer

    The app now checks what each card gives at the shop the user names, and lists the user's own cards first. A cheaper AI model was also tried and gave less honest answers, so the stronger model was kept, with a check that stops it being swapped by mistake.

  4. Deals from Croma could not be collected

    Croma had more deals than any other shop (36), but its website blocked the tool that collects them.

    What Provis builtCroma deals are collected again

    Provis tested different ways of reading the site and moved to the one that worked. A new check also makes sure every shop that is switched on has search words, so no shop is missed again. Croma card offers now show in the app.

How the work ran

Built in four phases, from login and chat to memory and card offers.

  1. Phase 1, April to May 2026OTP login, semantic search, chat, deal cards, admin panel, website and the sales-agent panel; the app started on 20 May
  2. Phase 2, June to July 2026Streaming answers, an AI post generator, OpenRouter, a LangChain agent, Cuelinks and GyFTR, credit cards in chat, voice calls, web search and location
  3. Phase 3, August to September 2026AI cost dashboards, Sign in with Apple, campaigns with points, the memory engine, iOS live on 16 September, a blog, Add Your Cards, statement upload, Croma, SBI and HDFC offers
  4. Phase 4, October 2026A credit card banner on the app home, App Store version 2.0.3 on 8 October, local and radius search

  • What was built: a Flutter app for Android and iPhone, an AI backend on PostgreSQL, a website with web chat, an admin panel and a sales-agent panel.

    Flutter PostgreSQL

  • Deals and cards: deals, coupons and cashback from Cuelinks, GyFTR vouchers, and a card catalogue merged from five sources.

  • Hardest part: savings claims that are never wrong. When unsure, the team dropped a claim rather than widen it.

  • Changed on the way: from Azure OpenAI to OpenRouter, and from LiteLLM to LangChain.

AI in the product:

An AI agent with 18 tools finds the deal.

It answers by text or voice, and live voice calls work in Indian languages. Evaluation sets score its answers before a change ships.

Exact card-name matches, expiry checks on every read, and web results marked unverified.

A one-time consent screen names the AI services the app uses.

A live voice call pauses when the app leaves the screen.

How Provis builds AI into a product
The app

What a user sees in Gyanee.ai.

Screens from the Android app, version 2.0.3. Select one to enlarge it.

GET IT ONGoogle Play Download on theApp Store
  • The Gyanee.ai app home screen: the My cards strip, quick prompts such as Find a deal and Compare phones, and a box to type or speak

    Ask onceBy text or voice, with your cards at hand

  • The Gyanee.ai quick prompts: Find a deal, Compare phones, Food nearby, Best cards for me and Fashion deals

    Start with a promptDeals, phones, food, cards and fashion

  • A Gyanee.ai chat for the best laptop deals under 60000 for coding, with the question "What kind of coding laptop are you after?" and the answers Work, Student, Gaming and Any

    It asks firstShort questions to narrow the answer

  • Deal cards in the Gyanee.ai chat: Acer and Vijay Sales offers with expiry dates and a Grab this deal button

    Deals with datesOffers with expiry dates and a link to buy

  • The My cards screen: saved credit cards, with billing dates and a statement check on each

    Your cardsSave cards and check a statement

Where Gyanee.ai is today

On Google Play and the App Store, and still being built.

Gyanee.ai is live on the web, Google Play and the App Store, and Provis keeps adding to it. The figures below are from its own offer data, as of October 2026.

3,056
card offers
642
cards covered
1,100+
merchants
4,600+
coupons
4
banks' offers loaded
11
voice languages
See it live:gyanee.ai (opens in a new tab)Google Play (opens in a new tab)App Store (opens in a new tab)

After launch

Provis is still working on it.

The latest work at the time of writing is from 14 October 2026, on local search.

Added since launch: memory, Add Your Cards, a statement check, card offers, a blog and local search.

Provis has delivered 200+ projects since 2012, with a team of 25+ engineers, designers, QA and project leads.

Every Provis build comes with 24/7 monitoring and support after launch.

How every Provis project runs

  • One project leadyour single point of contact
  • A written weekly update and a demoof what was built that week
  • A staging link and your repoyou see the work as it is built; the code goes straight into your repo
  • QA before launchour QA team tests every feature
  • Yours from day onecode repo, cloud account and domain in your company's name; our team joins as collaborators, and you can remove access at any time
  • Our team works in India, on ISTUTC+5:30: 1.5 hours ahead of Dubai, 4.5 ahead of London (5.5 in winter), 9.5 ahead of New York (10.5 in winter)
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