Research on strategies for improving the quality of takeout logistics services in university canteens in Jiangsu Province with AI empowerment
AI赋能下江苏省高校食堂外卖物流服务质量提升策略研究

摘要

本文聚焦AI赋能下江苏省高校食堂外卖物流服务质量提升问题，结合政策背景与行业现状展开研究。通过问卷调查与实地调研发现，高校食堂外卖已成为主流就餐方式，但存在高峰期订单压力集中、服务稳定性不足、售后响应滞后、技术赋能不充分等问题。基于SERVQUAL模型，本研究创新性整合AI赋能特点，优化评价指标体系，并从AI赋能角度下从优化订单分配与分拣流程、建立服务质量监控体系、完善售后响应与信息保护机制、引入智能工具与预测性分析平台等方面，提出针对性提升策略。研究结果可为高校食堂外卖物流服务质量提升以及数字化转型提供理论支撑与实践参考。

Abstract

This paper focuses on the issue of enhancing the logistics service quality of university canteens' takeout in Jiangsu Province under the empowerment of AI, conducting research in conjunction with policy background and industry status quo. Through questionnaire surveys and field research, it is found that university canteens' takeout has become a mainstream dining method, but there are issues such as concentrated order pressure during peak periods, insufficient service stability, delayed after-sales response, and inadequate technology empowerment. Based on the SERVQUAL model, this study innovatively integrates the characteristics of AI empowerment, optimizes the evaluation index system, and proposes targeted improvement strategies from the perspective of AI empowerment, including optimizing order allocation and sorting processes, establishing a service quality monitoring system, improving after-sales response and information protection mechanisms, and introducing intelligent tools and predictive analysis platforms. The research results can provide theoretical support and practical references for enhancing the logistics service quality of university canteens' takeout and their digital transformation.