The Optimization of E-Commerce Team Collaboration Model on Operational Performance

电商团队在面对日益复杂的市场环境和客户需求时，传统的协作模式逐渐暴露出效率低下、信息孤岛严重、决策滞后等问题。本研究提出新型电商团队协作模式。本研究首先通过集成企业内部信息系统(ERP, CRM等)以及外部电商平台API，建立统一的数据中心，确保所有相关数据能够实时同步更新，消除信息孤岛；采用微服务架构设计团队协作平台，将订单处理、库存管理、客户服务等功能模块化，提高系统的可扩展性和灵活性。此外，引入ARIMA-XGBoost对销售数据进行预测分析，优化库存管理和营销策略，提高销售额。新型协作模式缩短了订单处理时间、提高了库存周转率并降低了滞销品占比。本文为电商企业在激烈的市场竞争中提升运营效率和业务收益提供了理论依据和实践指导。When e-commerce teams face increasingly complex market environments and customer demands, traditional collaboration models gradually expose problems such as inefficiency, serious information islands, and delayed decision-making. This study proposes a new e-commerce team collaboration model. This study first integrates the internal information systems of the enterprise (ERP, CRM, etc.) and the external e-commerce platform API to establish a unified data center to ensure that all relevant data can be updated in real-time and eliminate information islands; the team collaboration platform is designed using a microservice architecture to modularize functions such as order processing, inventory management, and customer service to improve the scalability and flexibility of the system. In addition, ARIMA-XGBoost is applied to predict and analyze sales data, optimize inventory management and marketing strategies, and increase sales. The new collaboration model shortens the order processing time, improves inventory turnover, and reduces the proportion of unsalable products. This paper provides a theoretical basis and practical guidance for e-commerce companies to improve operational efficiency and business benefits in the fierce market competition.