Optimizing Market Interventions a Data-Driven Approach to Price Stabilization

This research study proposes data-driven approaches to track and maintain prices of food products. It develops an all-inclusive database of market data based on real-time pricing information generated from reporting centers spread all over the country. Based on ARIMA forecasting models and news API, the system analyzes historical data, seasonal trends, and estimates of crop production to prepare proper predictions regarding future trends in pricing. It senses the price fluctuations and takes a call whether to uncheck the freed buffer stocks or wait for the market. These are projections that would enable active steps towards enabling a feasible and sustainable food supply chain through stabilization of prices, food safety, and optimum use of available resources.