Digital Transformation in Inventory and Material Management: A Study of SMEs in Vijayapura District

Abstract: The rapid evolution of Industry 4.0 technologies has significantly transformed traditional inventory and material management practices, particularly in Small and Medium Enterprises (SMEs), which serve as the backbone of regional economies, and this study investigates the extent of digital transformation in inventory and material management within SMEs in Vijayapura District, exploring the adoption of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI)-driven predictive analytics, blockchain for supply chain transparency, and cloud-based Enterprise Resource Planning (ERP) systems, while also analyzing the impact of these technologies on operational efficiency, cost reduction, real-time decision-making, and supply chain resilience, given that SMEs often face financial and technical barriers in adopting digital solutions, making it crucial to evaluate the drivers, challenges, and outcomes of digital integration in inventory and material management, particularly in the context of limited technological infrastructure and skilled workforce constraints in semi-urban and rural settings like Vijayapura District, thereby necessitating a conceptual and theoretical exploration of frameworks such as the Technology Acceptance Model (TAM), the Resource-Based View (RBV) of firms, and the Digital Maturity Model to understand the adoption patterns, capabilities, and competitive advantages derived from digitalization, further highlighting the necessity for SMEs to transition from traditional stock-keeping methods towards data-driven inventory optimization, automation, and demand forecasting, which can lead to improved cash flow management, minimized stockouts and overstocking, enhanced supplier collaboration, and better responsiveness to market fluctuations, and in this regard, the research employs a mixed-methods approach, integrating qualitative case studies with quantitative survey data collected from SME owners, managers, and supply chain professionals, using Structural Equation Modeling (SEM) to analyze the relationship between digital adoption and business performance metrics, while also incorporating secondary data from industry reports, government publications, and global case studies to benchmark digital transformation levels in SMEs, and ultimately, the findings are expected to reveal how digital inventory solutions contribute to operational scalability, cost-effectiveness, and competitive sustainability for SMEs in emerging markets, particularly within the Indian manufacturing and retail sectors, thereby offering policy recommendations on facilitating digital adoption through financial incentives, government-backed digital literacy programs, and SME-specific technology incubators, which are critical for fostering an inclusive digital economy in the Business 4.0 era.