<![CDATA[The Smart Multi-Species Milk Bank System (SM²BS) is proposed as an integrated digital platform to improve milk supply chain management through cold chain management, digital traceability, and nutritional profiling. This study adopts a qualitative approach involving literature review, observation of milk handling processes, and stakeholder discussions to identify operational challenges and develop a conceptual framework for managing cow, goat, sheep, mare, and buffalo milk. Building on the existing Smart Milk Bank System (SMBS) prototype and preliminary goat milk quality testing conducted with CV Cahaya Firdaus, the proposed system integrates batch identification, quality records, storage conditions, and comparative nutritional data. Its disruptive novelty lies in connecting multi-species nutritional intelligence with cold chain monitoring and end-to-end traceability within a unified digital ecosystem. The framework is expected to support improved transparency, quality management, inventory coordination, and informed decision-making across milk supply chains. However, the proposed multi-species functionality and its operational benefits require further implementation and validation. This study provides a conceptual foundation for developing a more integrated, data-driven milk bank system and strengthening dairy supply chain resilience.]]>
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