Abstract: A system and method for predicting prices for commodities in a computing environment is disclosed. The method includes obtaining supply chain attributes associated with a product from internal and external data sources. The method further includes predicting current demand value of the product based on the supply chain attributes using artificial intelligence-based models. Further, generating an optimum price value for the product based on the current demand value. Additionally, computing average price value at a regional level for the product based on regional product information retrieved from one or more local authority databases using artificial intelligence-based models. The method further includes determining a best suitable price value. Also, simulating the best suitable price value for the product in a simulation environment using one or more artificial intelligence-based models. Furthermore, the method includes generating a final price value.