Accelerating regulatory mandates, like the U.S. FDA's 2026 electronic food traceability rule, pressure supply chains to adopt Blockchain and AI. A key adoption barrier is the scarcity of empirical evidence on measurable operational benefits. This study addresses this gap by analyzing 102 real-world Blockchain and AI use cases from 54 Fortune 500 firms. Using the Supply Chain Operations Reference (SCOR) model as an analytical framework, this study maps performance outcomes to Plan, Source, Make, Deliver, Return, and Enable processes, and provides overwhelming empirical support for significant gains across all SCOR dimensions. This research thus delivers a structured, evidence-based catalogue of benefits to guide investment and accelerate the transition to transparent, efficient, and resilient next-generation supply chains.
Empirical Documentation of Operational Performance Gains from Blockchain and AI Integration: A SCOR Model Analysis of Industry Cases
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