E-commerce Inventory Auditing: Best Practices, Challenges, and the Role of Technology
Keywords:
E-commerce Inventory Auditing, Real-time Tracking, Data Analytics, IoT (Internet of Things)Abstract
This study conducts a systematic literature review to illuminate the contemporary landscape of e-commerce inventory auditing, emphasizing key trends, challenges, and technological integrations. The exploration reveals a notable transition toward real-time tracking and data analytics, enabled by advanced technologies like RFID and IoT, marking a departure from traditional periodic audits in favor of dynamic, responsive approaches. However, challenges abound, encompassing the complexities of managing global supply chains, the omnipresent risk of inventory inaccuracies from system errors and external disruptions, and the imperative for skilled professionals in the e-commerce inventory management workforce. A prominent theme in the literature is the integration of artificial intelligence (AI) in auditing processes, with AI-driven algorithms and machine learning models promising enhanced accuracy, anomaly detection, and automation of routine tasks. This integration emerges as a transformative force poised to revolutionize conventional auditing methodologies, aligning them with the dynamic nature of e-commerce operations. Additionally, the study underscores the strategic importance of ensuring data security and privacy in e-commerce inventory auditing processes, advocating for robust cybersecurity measures and compliance with data protection regulations. In essence, this study provides a comprehensive understanding of e-commerce inventory auditing, offering valuable insights for practitioners, researchers, and policymakers navigating the complexities of digital-age inventory management.
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