Transforming Grocery and Cold Storage with Data
Amrit Robbins of Axiom comes on the podcast to discuss how we can use data science to transform grocery and cold storage.
Axiom Cloud uses cloud analytics and AI to map data and analyze trends on refrigeration racks. It can be particularly useful to keep track of readings all the time because it’s impractical to rely on a human to take and record readings 24/7.
Grocery stores are unique because they have so much product at stake and are relatively inflexible in their usage of energy. If something goes wrong on a rack, thousands of dollars worth of products may be lost.
If we could collect and review data at our fingertips, we could spot potential problems before the store loses money. These systems may also have alarms for case temperature problems, floodback conditions, and even some less immediate issues, such as a lack of floating suction.
Axiom Cloud also monitors when systems go into defrost, so you can assess the cycles of case groups and figure out if they correspond to any issues.
When you have data collection, you’re not relying on a “virtual technician” to automate HVAC work. Instead, data science can empower HVAC technicians and help them do their jobs more efficiently so that they can respond to issues before they become emergencies and serve customers better. After all, computer-based systems can’t repair or clean units!
Amrit and Bryan also discuss:
- Generating value on behalf of the customer
- Compressor failures
- Technician labor shortage
- Creating sustainable working hours
- Developing more flexible energy usage
- Monitoring temperature rise across cases
- Thermal banking
- Preparing for data analytics to come to the industry
Learn more at axiomcloud.ai.
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