Evaluation of Rural E-commerce Logistics Service Quality Based on BP Neural Network Model

To improve the quality of rural e-commerce logistics services, based on the LSQ model and SERVQUAL model, evaluation indicators for rural e-commerce logistics service quality are established from five dimensions: convenience, responsiveness, economy, reliability, and empathy. Based on this, a hybrid logistics service quality evaluation model based on BP neural network was constructed, and Suning Yigou was selected as the research object for empirical analysis. The results indicate that the rural e-commerce logistics service quality evaluation model based on BP neural network evaluation method can be effectively applied in practice, and the evaluation results are scientific and reasonable, with strong practicality.