Market Intelligence and Forecasting Gaps

Problem Statement

Farmers often make planting decisions based on last season's prices, leading to price crashes (glut) or shortages (scarcity). They lack access to accurate, actionable market intelligence, demand forecasting, and future price predictions.

Innovation Opportunities

• AI-driven Crop-Area and Demand Forecasting: Solutions that use satellite imagery, historical data, and consumption patterns to predict next-cycle supply and potential future prices for major crops.
• Actionable Price Advisory Services: Tools that provide farmers with customised advice on what to grow, when to harvest, and where to sell based on real-time and predicted market data.

Use Case Example

Before sowing, a farmer checks an advisory tool. The tool suggests reducing the area under tomato and shifting to beans due to an anticipated oversupply of tomatoes in the harvesting window.