Integrating AI Technologies into Business Intelligence Systems for Smarter Supply Chains

Abstract

This study examines the integration of artificial intelligence (AI) into business intelligence (BI) systems and its influence on supply chain performance. It focuses on awareness, adoption, benefits, challenges, and user satisfaction related to AI-enabled BI systems. The research adopts a quantitative approach using a structured questionnaire to collect primary data from practitioners across manufacturing, retail, logistics, healthcare, and energy sectors. A total of 318 valid responses were analyzed using descriptive statistics and reliability testing. Key variables, including AI adoption, supply chain performance, strategic benefits, and implementation challenges, were measured through a Likert scale. Cronbach’s Alpha values ranged from 0.812 to 0.901, confirming strong reliability of the research instrument. The findings reveal that most respondents possessed high or very high familiarity with AI in BI systems, indicating considerable organizational awareness. In terms of adoption, many organizations reported partial implementation, while others had fully integrated AI into their BI processes, suggesting a growing trend toward adoption. Machine learning and predictive analytics emerged as the most commonly used AI technologies. AI integration was found to positively affect real-time decision-making, forecasting, inventory management, and risk identification, demonstrating its practical value in enhancing supply chain efficiency. However, high implementation costs and poor data quality were identified as major barriers to successful integration. Despite these challenges, user satisfaction was largely positive, with most respondents expressing confidence in the reliability and usefulness of AI-generated insights. The study offers valuable implications for managers, policymakers, and organizations by emphasizing the importance of effective data management, workforce training, infrastructure, and strategic planning to maximize AI benefits in BI systems and create smarter, more resilient supply chains.

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