LS ELECTRIC uses data to optimize power consumption with Sight Machine and Microsoft Cloud for Manufacturing
LS ELECTRIC, in collaboration with Sight Machine and Microsoft, is revolutionizing manufacturing sustainability and productivity through data optimization. By standardizing unstructured data, LS ELECTRIC gleans detailed insights into energy consumption, leading to a 20% reduction in power use on some manufacturing lines and integrating systems for better decision-making.
- Agent or tool
- Microsoft Copilot
- Topic
- Research & Data
- Reported on
- Case study (Microsoft)
- Added
- 2026-11-11
Why it matters
Research is mostly gathering, cleaning and comparing. Handing that groundwork to an agent leaves the person with the part that needs judgment: deciding what the findings mean. It is one of 201 sightings filed under Research & Data on Agent Sightings (number 78 by interest), and one of 39 involving Microsoft Copilot.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Microsoft Copilot or any similar agent and adjust the details to your situation.
I want an agent to take on this workflow, show its working, and wait for approval on anything that changes a system or contacts someone. The tool in the source case was Microsoft Copilot.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Case study (Microsoft): https://www.microsoft.com/en/customers/story/1787232539191932705-ls-electric-mi…. Our summary is a paraphrase; details are in the source.
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