Authentication and Completeness: Ongoing Complexities in Modern Supply Chains The present-day, increasingly diverse supply chains grapple with significant challenges surrounding verification and completeness. Despite the potential of block chain technologies to provide an unaltered trail through manipulation-resistant audits, they fall short in resolving the confidence deficit linked not only to the sequence of chain activities but also the encompassing data related to the entire product life cycle. In this context, the notion of confidence becomes paramount. Existing mechanisms of reputation hold promise as a remedy for this faith predicament. However, these credibility structures prove less than ideal for blockchain-based supply chain applications due to their limitations in granularity, scope, and the absence of an in-depth discussion on overhead and automation. We propose a three-tiered confidence system for addressing these concerns. Our management platform employs a blockchain consortium to meticulously track relationships among supply chain stakeholders. Trust and reputation are dynamically attributed based on these interactions. The crux of innovation lies in our comprehensive model, which evaluates product quality and individual trust through a multitude of observations that emphasize credibility attributes during supply chain events. By tackling the intricate challenges of trust and transparency, we pave the way for a more streamlined, effective, and secure supply chain ecosystem.