India’s decentralized milk supply chain continues to face critical challenges, including adulteration, unauthorized container access, and undocumented handling—issues exacerbated by limited digital infrastructure in rural regions. Existing traceability mechanisms, such as QR codes and cloud-dependent platforms, lack tamper-evidence, are easily duplicated, and perform poorly in offline environments. This study proposes a blockchain-enabled, NFC based smart lid system designed to establish secure, low-cost, and tamper-evident traceability tailored to these constraints. Enhance the system’s intelligence and responsiveness, we integrate artificial intelligence across key functions: tamper prediction and detection, anomaly monitoring, fraud prevention, route optimization, demand forecasting, and predictive maintenance. These capabilities enable initiative-taking risk mitigation, data-driven logistics, and improved operational reliability, while maintaining compatibility with intermittent connectivity. By combining AI-driven insights with blockchain-backed immutability, the proposed solution delivers scalable, verifiable, and offline-capable traceability—supporting greater transparency, efficiency, and trust across India’s rural dairy network.