A Study on Improving Smart Warehouse Management Processes Using RFID and AI Technologies in Modern Retail Business

The rapid evolution of 'New Retail' necessitates unprecedented levels of operational agility and inventory precision. This study examines the transformative impact of integrating Radio Frequency Identification (RFID) and Artificial Intelligence (AI) technologies on warehouse management within the Thai modern retail sector. The research objectives were two-fold: (1) to compare operational efficiency before and after technology implementation using a Paired Samples t-test, and (2) to validate the structural integrity of the smart warehouse development framework. Data were collected from 380 logistics professionals using purposive sampling. The empirical results from the Paired Samples t-test demonstrated significant improvements across all key performance indicators (p<0.001), with the most notable gain observed in inventory auditing time, which was reduced by 78 % (from Mean = 55.08 to 12.1). Furthermore, the demographic analysis revealed that the majority of respondents held Master's degrees (58.7%) and had 1-3 years of logistics experience (38.4%), reflecting a digitally capable workforce. Effect size analysis confirmed that the operational improvements were of exceptionally large practical magnitude, with Cohen's d ranging from 2.96 to 3.52 across all KPIs, and an Overall Efficiency Index of 78.72 %, underscoring the transformative impact of the integrated RFID-AI system. Based on these findings, the study proposes a strategic roadmap emphasizing continuous infrastructure expansion, data-driven governance, and systematic skill transformation for warehouse personnel. This research concludes that a successful smart warehouse transition requires a socio-technical alignment between advanced automated identification and a culture of digital innovation to sustain long-term competitiveness in the digital есо∏оту.