Impact of advanced technologies on supply chain management: Legal challenges and integration strategies

The study aims to describe how artificial intelligence (AI), big data analytics (BDA), and business intelligence (BI) are redefining the game of supply chain management (SCM): making it responsive, efficient, and quick to make decisions. It points to the fact that BI can massively improve the quality of decisions and operational efficiency, particularly on scalable cloud frameworks in a sampled survey of 526 supply chain managers across the Middle East and North Africa (MENA) region. On the other hand, it enumerates some challenges like a high cost of implementation and a lack of skilled personnel as major obstacles to the usage of BI by small and medium-sized enterprises (SMEs) (Ramadan et al., 2024) The results thus advise the use of BI in a balanced way: integration of BI findings with human judgment should yield the best decisions without excessive reliance on automated systems. Eventually, this will outline strategic means of balancing the benefits of technology with cost constraints in response to scalability needs. The following insights, within this study, take a pragmatic approach toward guides on how BI, AI, and BDA can effectively support supply chains to be resilient, productive, and agile (Ashal & Morshed, 2024).