Factors Influencing Digital Warehousing and AI Utilization in Modern Supply Chains: Implications for Warehouse Maintenance Costs and Product Pricing

Abstract

In order to improve operational efficiency and competitiveness, supply chains currently we have to combine digital technology and artificial intelligence (AI). The adoption of digital warehousing and the application of artificial intelligence (AI) in supply chain management are examined in this study, with particular attention to how these developments may affect product pricing and warehouse maintenance expenses. Utilizing a comprehensive literature review and empirical analysis, this study identifies the primary factors driving the integration of artificial intelligence (AI) and digital warehousing into supply chain processes. The results illustrate the tactical implications for supply chain professionals in terms of refining maintenance procedures, streamlining warehouse management procedures, and product pricing strategies. For any given business, a smoothly running supply chain is essential to success. Possessing a highly accurate inventory estimate gives you a significant competitive edge. The operation of the entire supply chain is affected by an extensive variety of external as well as internal variables, including the environment, excessive volatility, shifts in customer perception, and media coverage. Examples of internal elements that impact supply chain performance are product releases and distribution network expansion. Artificial Intelligence (AI) has demonstrated in recent years to be a brain extension, allowing us to operate at levels above our wildest expectations. Contrary to common perception, artificial intelligence (AI) will not replace individuals; rather, it will enable us to achieve our full innovative and tactical potential. [Yang, M., Fu, M., & Zhang, Z. et al 2021]