Ali Shahgharar - PhD student, Department of Industrial Management, Tabriz branch, Islamic Azad University, Tabriz, Iran.
Majid Bagherzadeh Khajeh - Assistant Professor, Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Sahar khoshfetrat - Assistant Professor, Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Naser Faqhi Farhamand - Associate Professor, Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product supply chain not only improves the information level of the supply chain but also reduces the risk of product security problems, especially perishable products, by controlling the supply chain. Also, when a product security problem occurs, companies can help solve this problem through intelligentization and knowledge management. In this research, by comparing the regression rate, which is closer to the desired number of one, and the MSE rate of the obtained error value, which is very close to zero, in the best case, the results related to one hidden layer and two neurons were selected. Then, by calculating the sum of the weights of each layer and normalizing the weights, the importance of each input layer was determined. The research results showed that the order of importance of the independent variables in the neural network structure model is cultural factors, economic factors, environmental factors, and social factors. measures to be taken by businesses to realize digital transformation.

Intelligent management, Sustainable Supply Chain, Artificial intelligence, Knowledge extraction