Abstarct: Abstract The tourism industry is vital to the economies of countries around the world. Tourism has increased the income of the economy; It creates thousands of jobs and develops the infrastructure of a country and causes cultural exchange between countries. The tourism supply chain is a network of tourism organizations that provide various tourism products and services, such as accommodation and flights for the distribution and marketing of final tourism products in a specific tourism destination. Like other economic fields, this industry is also the emergence of new competitors everyday Continuous profitability requires that its supply chain be evaluated and optimized. This research aimed to comprehensively evaluate the tourism supply chain in Shiraz city, investigated the conceptual structure model of the tourism supply chain in Shiraz city and then presented a model baxsed on deep neural networks to evaluate the tourism supply chain. The results of examining different configurations of the deep network model indicated that the best error rate in the tested configurations is 0.02475.