The government of Bangladesh is introducing an artificial intelligence data analysis system to predict potential food and commodity shortages and ensure a stable market supply.
Commerce Minister Khandakar Abdul Muktadir made the announcement during a meeting on e-commerce implementation at the Ministry of Commerce in Dhaka. Commerce Secretary Md Ataur Rahman Khan chaired the session.
The proposed platform will evaluate ten years of historical market data, domestic production records, and international trade trends to forecast potential supply bottlenecks. By identifying vulnerabilities well in advance, policymakers aim to take timely action to maintain price stability across the country.
Currently, various government departments share responsibility for overseeing essential goods. Khandakar Abdul Muktadir explained that a single, unified database is required to determine which products can be sourced locally, which depend on imports, and which require a balanced supply approach.
The primary objective of the initiative is to protect markets from supply disruptions that often spark sharp price increases. While traditional inter-ministerial evaluations can take significant time, the new artificial intelligence platform can generate detailed analytical reports in minutes, allowing officials to make rapid policy choices.
The system will track global market movements and assess the export capacities of supplier nations. For sensitive commodities such as lentils and onions, predictive analytics will forecast upcoming domestic deficits, enabling the government to organise imports before local stocks fall low.
The Ministry of Commerce will implement the platform in partnership with the Ministries of Agriculture and Food, as well as other relevant state bodies. The shared database will combine official government records with international open-source and subscription-based data to ensure accuracy.
Khandakar Abdul Muktadir acknowledged that constructing the database and training the algorithms will require time. However, he expressed confidence that automated analytical tools will eventually prove faster and more reliable than traditional manual evaluations, offering better protection for consumers through timely, data-driven decisions.
