AI Cold Storage Optimization
The Problem
“Reducing cold storage vacancies and energy waste”
Organizations face these key challenges:
1
Unpredictable tenant volumes and seasonality causing over/under-allocation of freezer, cooler, and tempering zones
2
High and volatile utility costs (peak demand charges) with limited visibility into which operational behaviors drive spikes
3
Manual slotting, setpoint, and defrost decisions increasing labor, temperature excursions, and SLA/claim risk
Impact When Solved
8-15% reduction in kWh and demand charges via AI-driven operational optimization3-7% increase in sellable capacity utilization and improved lease yield through dynamic allocation10-20% fewer unplanned outages and 20-40% reduction in temperature-excursion-related claims