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Case study

KrishiSetu

Bridging farmers and market.

Connecting farmers directly with wholesale buyers through trusted produce, transparent pricing, and AI-powered communication.

Role
UI/UX designer
Platform
Mobile app
Languages
English and Marathi
Welcome
Find crops
Product details
Translation chat
Order tracking

Problem

Selling produce directly to wholesale buyers is hard to set up. A farmer cannot easily see what a buyer will pay, a buyer cannot easily judge whether the produce can be trusted, and the two may not share a language.

This is my own working view of direct trade. I have not run farmer or buyer interviews yet, so each point still needs to be validated.

Problem statement

Farmers and wholesale buyers need a direct, trusted way to trade produce, with prices both sides can see and a conversation both can follow in their own language.

Who it is for

The app has two sides, and a Buyer and Seller switch on the home screen moves between them.

Farmer (seller)Wholesale buyer
What they needReach buyers directly and see the price a buyer is aiming forFind produce they can trust at a clear price
Home screenFind buyers: buyer cards with a target price per kg and a delivery dateFind crops: categories and crop cards with grade, quantity and price per kg
Main actionPost availabilityPlace order

Design decisions

Each decision supports one part of the idea: trusted produce, transparent pricing and AI-powered communication.

Trusted produce

  • A Verified Farmer badge and a farmer snapshot show experience, land area, years on KrishiSetu and a rating.
  • Every crop card states the grade and the quantity available.
  • Orders include an inspection step, and its status stays visible until the result is in.

Transparent pricing

  • The price per kg is on every crop card, and buyers’ target prices are shown to farmers.
  • The order review splits the estimate into crop, transport, inspection and tax: ₹4,800 + ₹800 + ₹200 + ₹180 = ₹5,980.
  • Payment by UPI is shown after the final quote is approved, so the sequence is clear before anyone confirms.

AI-powered communication

  • A translation chat between English and Marathi lets a farmer and a buyer talk in their own languages.
  • Each message is labelled Machine translated, so people know when to double-check the key terms.
  • Quick replies such as Best price? and Supply 200 kg? cover the most common questions.
  • A Confirm terms card turns the agreed crop, quantity and price into an order.

In the farmer’s language

  • The farmer home is available in Marathi with the same layout as the English version, so nothing moves when the language changes.

Final screens

Find crops

The buyer side: browse crops, check the details and see who is selling.

Find crops
Product details
Farmer profile

Find buyers, in two languages

The farmer side, in English and in Marathi.

Farmer home, English
Farmer home, Marathi

Talk and agree

A translation chat that ends in confirmed terms.

Translation chat

Order and track

From a clear estimate to a tracked delivery.

Review order
Order confirmation
Order tracking

Constraints and tradeoffs

  • Sample data is labelled. The farmer rating, reviews and profile stats are marked as sample data, so the prototype does not claim results it has not earned.
  • The barcode is decorative. The order confirmation says so on the screen.
  • Translation is machine-made. Labelling it keeps people alert to mistakes, at the cost of a little extra text in the chat.
  • Inspection adds a step. The order tracker shows it clearly, because trust in the produce matters more than a faster order.

Testing and next steps

No usability testing has been done yet, so there are no results to report. The next steps are:

  • Test the Marathi copy with Marathi speakers.
  • Test whether wholesale buyers understand the price breakdown without help.
  • Test the translation chat with farmers and buyers who speak different languages.
  • Extend the crop list beyond tomatoes and onions.