ATLAS tracks demand charges, time-of-use rates, and peak events across every facility, then manages against them automatically. No more finding out what you owe after the invoice arrives.
“We saved $500,000 to $600,000 in one month at just one facility, by controlling demand and responding to the coincident peak events.”
— Nick Green, Americold
See how ATLAS manages demand charges across your sites.
A member of our team will follow up to find a time that works.
Demand charges climb. Rate structures shift by region, or reset entirely the moment a new facility lands in unfamiliar utility territory. Static schedules and manual curtailment plans can’t keep pace, so teams chase kWh savings while getting crushed on kW charges. By the time anyone can operationalize the new tariff, the peak has already passed, and the savings went with it.
ATLAS reads utility rate structures the same way it reads facility conditions: continuously, not once a quarter. It orchestrates load shifting, demand response, and curtailment against the rate schedule actually in force, so the strategy adjusts the moment the rate does instead of waiting for someone to notice.
ATLAS acts on demand charges and TOU windows in real time, so curtailment happens ahead of the peak instead of reacting to the bill afterward.
A facility in a new utility territory inherits a working strategy on day one instead of starting a rate playbook from scratch.
Savings are measured and verified as they happen, so the number holds up when it’s time to qualify for a utility incentive or demand response program.
Demand actions run inside the safety and compliance guardrails already governing the facility. How product is handled and how the site stays compliant doesn’t change because ATLAS is managing the rate response, and it works with the OEM systems already installed. ATLAS is SOC 2 compliant, so IT and security get specifics instead of taking your word for it.
When Americold expanded into new territory, CrossnoKaye worked directly with the utility to shape a better rate structure before the meters started running, not after the first bad invoice landed. That’s a different starting point than a platform that only optimizes around whatever rate a facility happens to be stuck with.
“We saved $500,000 to $600,000 in one month at just one facility, by controlling demand and responding to the coincident peak events.”
— Nick Green, Americold
Talk to someone who’s negotiated rate structures with utilities directly.
Schedule a Demo