AI-Driven Cold Chain Optimization for Reducing Food Loss in Perishable Supply Chains
Abstract
With the combination of IoT-based monitoring, predictive analytics, and intelligent decision-making, AI-powered optimization of cold-chains increases the efficiency, reliability, and sustainability of perishable chains. Sensors can provide real-time data, therefore, monitoring the temperature, humidity, and logistics status continuously and predict risks of spoilage and optimizing routing, storage, and inventory control with AI models. In case studies in dairy, seafood and fresh produce, there has been a substantial decrease in the spoilage and increased efficiency in work. Traceability and compliance are additionally improved with the help of the blockchain integration. In general, cold-chain systems with AI will help minimize food waste, advance food quality, and sustain logistics in complicated supply chains.