Research on Rural Logistics Terminal Distribution Efficiency Improvement in Rural Revitalization Strategy Assisted by Artificial Intelligence

Abstract The rural revitalization strategy requires the establishment of an express delivery industry service system with high-quality service, advanced technology, universal urban and rural benefits, green energy saving, safety and efficiency. In order to improve the efficiency of rural logistics terminal distribution, this paper first proposes a crowdsourcing service model of logistics terminal distribution for the current situation of rural logistics distribution. Then, the LRP model of hybrid mode of rural logistics terminal distribution to home self-pickup is constructed, and an improved potential field ant colony algorithm is proposed by combining the ant colony algorithm and artificial potential field algorithm to realize the optimization of logistics terminal distribution efficiency assisted by artificial intelligence. Finally, an arithmetic example analysis is carried out and structural equation modeling is used to further analyze the influencing factors of improving rural logistics terminal distribution efficiency, so as to propose a path suggestion. The error between the optimal solution and the worst solution obtained by the potential field ant colony algorithm is small, and the error is 0 in 61.54% of the cases in the small-scale problem, which is better than the unimproved ant colony algorithm, which can effectively reduce the distribution cost and optimize the distribution path, and it is suitable for solving the optimization of rural logistics terminal distribution. In addition, the informationization level and eco-efficiency of logistics terminal distribution have a positive effect on service quality, industry development and organizational efficiency have a positive effect on economic efficiency, and service quality has a significant positive effect on economic efficiency.