Case Study for Dairy Industry in Kerala using
IoT-enabled Cold Chain Monitoring solution.
The company implemented real-time remote cold chain monitoring for their temperature-sensitive products. Using data collected and IoT data analytics help them to reduce the cold line spoilage by 4%, optimized power consumption by 7%, and eventually improved the quality of the product and brand value.
Business Problem
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Spoilage and reduction in quality of Milk and Curd due to improper maintenance of temperature at the cold storage level.
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The power consumption of cold storage units is high from normal running.
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Manual recording of temperature reading often go wrong or missed due to human errors.
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There is no Pasteurization unit temperature log for the auditing and quality checkup.
Solution Offered
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IoT-enabled wireless temperature dataloggers and sensors can record the temperature in real-time and posting data to cloud servers.
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Mobile app to get the current temperature of the cold storage and to receive alerts and messages when the temperature of the cold storage crosses the set limit.
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A reporting and analytics tool to analyze the data from the sensors to predict the potential variation of the cold storage temperature.
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IoT based sensors to record temperature from the pasteurization units
Benefits
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Spoilage of the temperature-sensitive dairy products are reduced to 4% thereby the quality of the products improved and better brand acceptance.
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The power consumption of the cold storage is reduced by 7%. - Standard operating procedure for the cold storage is defined for operating staff.
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The mechanical problem of the storage units can be identified well in advance by analyzing the regular drop in temperature or temperature data