Food retailers are now able to reduce shrink, and improve food quality and safety by harnessing advancements in technologies such as automation, cloud-based networks, the Internet of Things (IoT), and yes, robots. Schnuck Markets in Missouri has robots traveling the aisles three times a day to scan 1.5 million products, providing more accurate and comprehensive operational insight.
Retailers have traditionally relied on staff and clipboards to track product temperatures or on energy management systems to track failures in refrigeration equipment. Emerging tech from Lizard Monitoring monitors temperatures via wireless sensors installed throughout the store to ensure food safety and track resolution to temperature events. Managers can see trends in temperature data, employee resolution time, and predict the failure of refrigeration equipment before it happens.
What’s more, Lizard’s sensors monitor product versus just air temperature, meaning there are less false alerts from defrosting or door openings. Lizard also recently developed an exposure alert feature. “We can now show how long the product may have been in the danger zone where bacteria can form and replicate,” says Terry Cates, co-founder. “Operators can then create a standard operating procedure for staff to take action whether the product should be thrown out or can be kept.”
Combined with cloud-based predictive analytics and machine learning, the sensor-equipped pallets and corresponding database improve freshness management from field to store, says Mehring. It also improves traceability in regards to food safety. “Say a grower found out their avocado crop was contaminated with Listeria,” says Mehring. “They would update the database in our system and every distributor and retailer where they were sent would be automatically notified. Typically, blockchain only works in reverse: If I have a product in my hand and I scan it, where did it come from? This facilitates communication in both directions.”
