Choosing the appropriate distribution channel for companies is one of the main marketing activities in the supply chain. Accordingly, the purpose of this study is to design a system for predicting success of the distribution channel in the supply chain of the petroleum industry using ANFIS and the PSO algorithm for the national oil products distribution company in the two regions of West Azerbaijan Province. The research method was descriptive-modeling and the statistical population of this research included all the locators in the two regions (south and north) of West Azerbaijan.  We collected data in this research through a questionnaire and documents of the National Oil Distribution Company of West Azerbaijan.  We analyzed the data in this study through combining neuro-fuzzy adaptive network with Particle Swarm Optimization algorithm.  Our research results show that, based on the designed system, the branding scheme has better performance than the traditional method.
JEL Classification: L11, P23, C45, C53
Keywords: Distribution Channel Success, Oil Industry, ANFIS, PSO