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.

Continuous temperature data collection across cold storage zones for real-time visibility.

Chillers activated only when temperature crossed defined thresholds.

Historical and live analytics helped identify overcooling and inefficiencies.

Automated control logic balanced food safety with energy efficiency.

Outcomes

8-10% 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.

Right Quote On-demand cooling helped achieve 8-10% energy savings while protecting inventory.

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