Case Studies

Food City reduced its refrigerant leak resolution time by 58% across 130+ stores by implementing an automatic leak repair workflow - from initial detection through confirmation of the repair and associated ALD compliance documentation for the EPA.

Using AI-powered software for refrigeration to enable proactive management of refrigeration assets across a large-scale retail grocery fleet.

A high-level look at deploying AI-driven setpoint optimization across a multi-state fleet.

Shifting from reactive repairs to proactive monitoring to eliminate emergency truck rolls.

A head-to-head test proving AI software identifies leaks 47 days faster than physical hardware.

A technical breakdown of catching two consecutive leaks in a single week before they caused outages.

Optimizing fulfillment center refrigeration using existing data to hit sustainability targets.

Transforming refrigeration from a cost center into an asset that improves cash flow.

A large-scale deployment focusing on uptime and automated demand response revenue.

Identifying liquid refrigerant return issues before they cause mechanical failure.

A specific site incident report detailing the speed of AI-based leak identification.

Using data models to identify failing compressors days before they actually trip.

Monitoring heat rejection performance to identify fouled or failing condensers early.

Using intelligent pre-cooling to shift energy loads and reduce expensive demand charges.

Demonstrates how refrigeration loads can be dispatched like a battery to support the grid.