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Rethinking Supply Chain Performance Metrics in the Artificial Intelligence and Digital Age

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  • Nubi Achebo

    (Nigerian University of Technology and Management Apapa-Lagos)

Abstract

Deep within global supply chains, performance is being transformed as artificial intelligence (AI) and digital technology redefine what is possible and how these new possibilities can be measured. Old-school measures like cost efficiency, customer service levels and inventory turns can be helpful, but increasingly do a poor job reflecting the agility, resilience, customer centricity and sustainability that is the hallmark of success in today’s hyper-volatile and highly networked economy. This article challenges the limits posed by traditional metrics and re-imagines the horizons of supply chain measurement by investigating the transformative powers that AI-enabled analytics, automation, predictive modeling and real-time data processing hold for re-shaping performance. It explores how digitalization offers more agile, transparent and customer centric metrics with examples of case studies from various sectors and reviews evolving practices as well as the cultural, technological and data privacy challenges faced by practitioners. The paper posits that rethinking supply chain metrics is not just a matter of operational requirement; rather, it is a strategic imperative for firms desiring long termcompetitive advantage, robustness and alignment with global sustainability objectives.

Suggested Citation

  • Nubi Achebo, 2025. "Rethinking Supply Chain Performance Metrics in the Artificial Intelligence and Digital Age," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 562-574, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:562-574
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    References listed on IDEAS

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