Development of a Digital Farm-to-Market Price-Discovery and Linkage Platform for Indian...

Objective: To design and prototype a platform that enables Indian farmers to access real-time market prices and connect directly with buyers, reducing information asymmetry and improving farm income.

Problem & Context: Indian farmers often face challenges in discovering fair market prices for their produce due to fragmented supply chains, lack of real-time information, and dependence on intermediaries. This leads to income losses and inefficient market linkage, especially for small and marginal farmers.

Approach & Methodology: The project will involve stakeholder interviews, analysis of existing platforms (eNAM, Agmarknet), and collection of price data from local mandis. The team will design a web/mobile prototype integrating real-time price feeds, buyer-seller matching algorithms, and basic analytics for farmers.

Deliverables & Analysis: Key deliverables include a business case, market research report, platform prototype (wireframes or MVP), price-discovery algorithm, and an impact assessment based on simulated user scenarios. Data analysis will validate improvement in price transparency and linkage efficiency.

Business Impact: The solution will empower farmers with actionable market information, enable direct connections to buyers (wholesalers, retailers, processors), and inform decisions on produce sale timing and locations, ultimately boosting farmer margins and reducing supply chain inefficiencies.