ARTIFICIAL INTELLIGENCE INTEGRATION IN MANUFACTURING SUPPLY CHAINS: A FRAMEWORK FOR B2B E-COMMERCE OPTIMIZATION
Keywords:
Artificial Intelligence (AI), Manufacturing Supply Chain, B2B E-commerce, Digital Transformation, Supply Chain OptimizationAbstract
Artificial intelligence (AI) is fundamentally transforming manufacturing supply chain management within the Business-to-Business (B2B) e-commerce landscape. This article examines the integration of AI technologies in manufacturing supply chains, focusing on their applications, benefits, and implementation challenges. Through a comprehensive article analysis of multiple manufacturing organizations, this article investigates how AI-driven solutions enhance demand forecasting, supply chain optimization, supplier relationship management, and quality control processes. The findings reveal that while AI implementation leads to increased operational efficiency, cost reduction, and enhanced customer experience, organizations face significant challenges related to data quality, change management, skills gaps, and cybersecurity risks. Furthermore, the article identifies emerging trends in AI adoption, including increased automation, collaborative platforms, sustainability initiatives, and advanced analytics applications. This article contributes to the existing literature by providing a structured framework for AI implementation in manufacturing supply chains and offers practical insights for B2B organizations pursuing digital transformation. The results highlight the strategic importance of AI in achieving competitive advantage and suggest future directions for technology integration in manufacturing supply chain management.
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