Research on AI-Enabled Practical Teaching Innovation of “Customer Relationship Management” Under Resource Constraints: A Case Study of Ordinary Second-Tier Universities

Abstract

Faced with the profound reshaping of business forms by artificial intelligence (AI), the practical teaching of the traditional “Customer Relationship Management” (CRM) course urgently needs upgrading in dynamics, digitalization, and intelligence. Based on the dual realistic conditions of “limited software and hardware resources” and “business students lacking basic programming skills” in ordinary second-tier universities, this study explores a low-cost teaching innovation path centered on inclusive and open-source AI tools. The paper constructs a new “three-dimensional integrated” practical teaching system, focusing on three core dimensions: data intelligence insight, interactive intelligent simulation, and process intelligent optimization. It deeply integrates generative large language models (such as DeepSeek), Python (AI-assisted generation), and cloud-based open-source CRM tools, and reconstructs teaching and evaluation methods through project-based learning. The study further analyzes the core challenges in the reform, such as teachers’ technological anxiety, lack of localized data, and academic integrity issues, and proposes systematic countermeasures based on interdisciplinary communities, school-enterprise resource co-construction, and process-oriented evaluation reform. This paper provides a “low-threshold, high-adaptability, and application-oriented” curriculum intelligent transformation plan for similar application-oriented universities, which has important practical reference value for cultivating compound marketing talents adapting to the intelligent business era.