Maturity is closely related to logistics deterioration and fresh fruit quality. Considering the postharvest maturity characteristics and high perishability of fresh fruit, this study aims to develop an integrated fresh fruit harvest and distribution model considering maturity to improve logistics efficiency and consumer satisfaction. First, fresh fruit’s postharvest maturity is quantized using the fuzzy classification method and kernel clustering rule. Then, the collaborative optimization condition between maturity and logistics decisions is investigated to formulate an objective function containing maturity deviation. Finally, the time–space network is introduced to establish an integrated model due to the complex spatio-temporal characteristics of fresh fruit logistics. The study compares the proposed integrated model with an economic model, and the results show that the integrated model considering maturity could improve service quality by 22.57–50.21%. Integrating maturity and logistics decisions has satisfactory efficiency and promising applications for farmers in the development of economical distribution scheduling and scientific market strategies.