Cold Storage

Small and powerful, our sensors ensure food stays sellable.

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Spoiled food is unsafe for customers and expensive for grocery stores. Manually monitoring temperatures is time-consuming. Sensors from Disruptive Technologies can help you maintain proper conditions while saving time and money.
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Keep food safe and

customers happy

You can’t risk selling spoiled food. For many products, consistent refrigeration is required to maintain freshness. Fresh fruits and vegetables are particularly sensitive to spoilage and must be monitored carefully. One undetected refrigerator malfunction can result in $30,000 in lost stock. Cold storage monitoring helps you avoid sick customers, insurance claims, lawsuits and damage to your reputation.

Comply with regulations and decrease labor costs

To comply with regulatory requirements, such as Hazard Analysis and Critical Control Point (HACCP), food retailers must monitor and document temperature for food at least three times each day. Sensors applied to refrigeration and freezer units let grocery stores remotely monitor temperatures and confirm equipment is working. If sensors detect unexpected changes, they can alert site managers and service technicians to address problems immediately. Staff can quickly relocate perishable food, ensuring it is safe for sale. Sensors free up time for employees, allowing them to focus on other work functions that improve the customer experience.

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Related Case Studies

disruptive technologies global restaurant chain
Global Restaurant Chain Immediately Saved £1.25M with Sensor Technology

How to monitor daily freezers as per UK regulations when employees are not on location due to the COVID-19 lock-down?

Case study
disruptive technologies cold storage case study
Popular Gelato Shop Saved Food & Money with Sensor Technology

Like most restaurants, Sval must adhere to regulations that require careful storage and preservation of food. These regulations require monitoring the temperature of each cold storage unit and entering the information into a log.

Case study

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