Artificial intelligence integration into business-to-business e-business systems represents a transformative advancement, enhancing operational efficiency, predictive capabilities, and customer relationship management. This paper explores the role of AI in revolutionizing B2B E-business, focusing on implementing AI-driven predictive analytics, automated processes, and advanced decision-making frameworks. By leveraging comprehensive literature reviews and case studies, particularly the Sirvis—a Software as a Service innovative online marketplace initiative—this study highlights AI’s potential to streamline operations, foster innovation, and create competitive advantages in the B2B sector. The research contributes to the growing body of knowledge by providing a detailed model for AI adoption in B2B contexts, offering insights for future implementations, and addressing the challenges and opportunities of AI integration in B2B e-businesses.

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The Role of AI in B2B E-business

  • Hesam Jafarzadeh,
  • Dušan Barać,
  • Milica Simić

摘要

Artificial intelligence integration into business-to-business e-business systems represents a transformative advancement, enhancing operational efficiency, predictive capabilities, and customer relationship management. This paper explores the role of AI in revolutionizing B2B E-business, focusing on implementing AI-driven predictive analytics, automated processes, and advanced decision-making frameworks. By leveraging comprehensive literature reviews and case studies, particularly the Sirvis—a Software as a Service innovative online marketplace initiative—this study highlights AI’s potential to streamline operations, foster innovation, and create competitive advantages in the B2B sector. The research contributes to the growing body of knowledge by providing a detailed model for AI adoption in B2B contexts, offering insights for future implementations, and addressing the challenges and opportunities of AI integration in B2B e-businesses.