Abstract
Abstract: The global economy's rapid expansion has expedited the supply chain sector, which demands efficient, flexible, and responsive logistics services. To convey information between clients and logistics providers, internet technology has been highly successful. However, the current disconnect between the flow of goods and the flow of information in logistics services has made it difficult for decision-makers to obtain real-time information on products that are sensitive to temperature. A promising approach to managing the cold supply chain is the Internet of Things. In this paper we propose a IOT based cold supply chain management system that helps to enhance the decision support through managing, monitoring the real-time environmental factors like Temperature, Humidity & air quality of the cold chain and predicting the shelf life of temperature-sensitive products.
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