Rebel Foods to use TagBox’s real-time cold chain monitoring system

• ByStartupStory     |    May 16, 2022

TagBox has announced that it is providing its AssetLens solution to Rebel Foods, the world’s largest internet restaurant company, for real-time temperature, door-open and power consumption monitoring.

The solution consists of IoT devices such as Tag360 sensors that monitor temperature, door opening and closing, and energy consumption, TagHub gateways, and  AssetLens software platforms, giving Rebel Foods a complete overview of the quality of cold chain storage conditions. Useful for. Temperature compliance and kitchen operational efficiency.

Uday Mahajan, SVP Engineering at Rebel Foods said, “At Rebel Foods we are committed to providing our customers with a safe, consistent and high quality experience. A critical element of this is maintaining all our SKUs at the correct temperature. This is also mandated by FSSAI, which requires us to monitor and log the temperature of our cold storage equipment once per day. With TagBox, we are able to eliminate this manual process and achieve real time accurate temperature monitoring of our equipment, with automated alerts sent to the kitchen staff and maintenance personnel in the event of any deviations.”

“All organizations dealing with perishable foods need to be additionally vigilant about the temperature conditions in which raw material and finished goods are being moved and stored. Most organizations do get temperature records from transporters when goods are in transit. However, for kitchens, retail stores or warehouses, companies are still reliant on local staff to monitor the temperature of chillers, freezers or cold rooms manually and record it in a register for audit purposes..” said Adarsh Kumar, CEO, TagBox.

The AssetLens platform incorporates features such as live temperature compliance scores for all assets in the network, real-time temperature deviation alarms, asset on / off status, and abnormal door open / close counts or durations. In addition, AssetLens provides a variety of analysis and reporting modules to help identify system failure points such as above average energy consumption of a particular asset. This can be a predictive signal of SOP violations such as asset malfunctions and inventory levels.

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