Optimizing Cold Chain Operations: On-Demand Chiller Control through Integrated Temperature Monitoring
Zomato Blinkit
UN SDG 9 - Industry, Innovation and Infrastructure
Bengaluru, India
Pain Points
Uncontrolled cooling caused energy loss and temperature imbalance in cold storage areas.
Invisible Energy Wastage
Chillers operated continuously without demand awareness, leading to unnecessary energy usage.
Risk of Product Spoilage
High temperatures affected product quality, while overcooling increased power consumption.
Manual Cooling Operations
Lack of automation resulted in inefficient temperature control across dark store cold storage.
Our Offerings
IoT-based temperature monitoring with automated, demand-driven chiller control.
Cold Storage Temperature Monitoring
Continuous temperature data collection across cold storage zones for real-time visibility.
On Demand Chiller Control
Chillers activated only when temperature crossed defined thresholds.
Temperature Analytics
Historical and live analytics helped identify overcooling and inefficiencies.
Optimized Cooling Logic
Automated control logic balanced food safety with energy efficiency.
Outcomes
10–15% Energy Savings
Eliminated unnecessary chiller runtime through demand-based operation.
Consistent Cold Storage Temperatures
Maintained optimal temperature ranges for perishable product safety.
Reduced Product Spoilage
Improved temperature control minimized spoilage risks in dark stores.
Operational Efficiency
Automated cooling reduced manual intervention and operational dependency.
On-demand cooling helped achieve 10–15% energy savings while protecting inventory.
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