用RFID追踪顾客行为，实现零售数据驱动决策。
The system of processing and analysis of customer tracking data for customer journey research on the base of RFID technology
- 构建RFID与POS数据融合的ETL处理架构
- 打通销售与顾客动线数据，支持多维度分析
- 适合零售业做顾客旅程优化与运营提升
本文研究基于RFID技术的顾客轨迹数据处理与分析系统，用于零售场景下的顾客旅程研究。文章梳理了RFID技术的发展、核心原理及在零售中的应用，涵盖库存管理、防损和顾客体验优化。重点设计了数据采集、处理与集成架构，采用ETL（抽取、转换、加载）方法将原始RFID与销售点（POS）数据转化为结构化分析仓库。提出一个逻辑数据库模型，整合财务销售指标与顾客行为路径，支持全面分析。通过平衡计分卡（BSC）评估实施效果，涵盖财务绩效、客户满意度和内部流程优化。结论指出，追踪与交易数据融合为零售转型为精准数据科学奠定基础，实现对实体商品流动与消费者行为的前所未有的可视化洞察。
原文摘要 · Abstract (English)
The article focuses on researching a system for processing and analyzing tracking data based on RFID technology to study the customer journey in retail. It examines the evolution of RFID technology, its key operating principles, and modern applications in retail that extend beyond logistics to include precise inventory management, loss prevention, and customer experience improvement. Particular attention is paid to the architecture for data collection, processing, and integration, specifically the ETL (extract, transform, load) methodology for transforming raw RFID and POS data into a structured analytical data warehouse. A detailed logical database model is proposed, designed for comprehensive analysis that combines financial sales metrics with behavioral patterns of customer movement. The article also analyzes the expected business benefits of RFID implementation through the lens of the Balanced Scorecard (BSC), which evaluates financial performance, customer satisfaction, and internal process optimization. It is concluded that the integration of tracking and transactional data creates a foundation for transforming retail into a precise, data-driven science, providing unprecedented visibility into physical product flows and consumer behavior.
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