API-First Modernisation and AI-Enabled Supply Chain for B2B

Monolithic supply chain management systems are merely rigid and stretched to accommodate these dynamically evolving needs of the global markets today. The current paper proposes API first architecture to be coupled with AI-based supply chain optimisation in order to offer adaptable, interoperable, and intelligent B2B supply chain environments. The suggested model will incorporate the concept of microservices, API gateway, predictive analytics, reinforcement learning, and real-time data integration to improve the process of better decision-making, predicting demand, managing inventory, and optimizing logistics. A larger literature review and a large-scale modeling based on simulated B2B transaction data prove the model to be superior in its supply chain responsiveness, accuracy of its forecast, inventory turnover and customer satisfaction in its empirical evaluation relative to the legacy systems. This study presents a step-by-step guide that B2B companies can follow to transform supply chains by integrating and modernising processes with APIs and intelligence powered by AI.

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