Illustrative example — a realistic scenario based on Ultra Edge’s capabilities, not a completed, named project.
Situation
A manufacturing site runs multiple solar inverters alongside grid and generator supply, under industrial tariff rules where peak, off-peak, and demand-charge pricing genuinely change what a given hour of production actually costs — but shift scheduling and load-timing decisions are currently made from experience and habit rather than from a number anyone’s actually looking at in the moment.
Where the obvious fix falls short
Solar inverter monitoring software shows what the panels are generating, and a separate grid meter shows consumption, but neither one, on its own, answers the question that actually matters operationally: given what’s being generated, what’s being drawn from the grid, and what the current tariff period costs, would shifting this process by an hour actually save anything — and if so, how much.
What Ultra Edge deploys
The energy-mix layer sits on top of the same process-control core already monitoring the plant, combining solar generation, grid draw, generator use, and the applicable tariff structure into one live figure: what the current hour is costing, and what a shift in timing or load would change. This isn’t a separate app to check — it’s a layer on the system operators and management are already using for process visibility.
What this achieves
Load-shifting decisions the plant’s management was already trying to make by habit and rough memory of the tariff schedule now come with an actual modelled figure attached, turning “we should probably run that later” into a specific comparison.
What this doesn’t claim
This doesn’t change the plant’s actual tariff agreement or negotiate better rates — it works within whatever tariff structure applies and makes the cost implications of scheduling visible. It also doesn’t guarantee a specific percentage saving; the achievable benefit depends entirely on how much of the plant’s load is actually flexible enough to shift, which varies by process and is assessed at the site survey.