Understand what’s
driving usage.
Break total gas consumption into appliance-level insights for each home — heating, water heating, and other major loads.
Most utilities see gas consumption at the bill level. Bidgely transforms that data into appliance-level insights for every home — unlocking a deeper understanding of how energy is actually used.
UtilityAI extends and enriches your customer view using AMI or non-smart meter data — revealing usage patterns across heating, water heating, and other major gas loads. The result: better customer engagement, faster issue resolution, and more effective programs.
Jobs to Be Done
The data you need is already in every meter read. Decode it, decompose it by appliance, and put it to work.
Break total gas consumption into appliance-level insights for each home — heating, water heating, and other major loads.
Equip CSRs and digital channels with the data needed to explain high bills and resolve issues quickly.
Identify customers with inefficient heating or high usage patterns and match them to the programs that fit.
Drive therm reduction, cost savings, and faster program impact through precision insights — not broad assumptions.
Use Cases
Each use case runs on the same disaggregation engine — so your CX, EE, and digital teams operate from the same source of truth, all the way down to the appliance.
See beyond the meter.
Turn high bill calls into trust-building moments.
Target efficiency programs with precision.
Give customers clarity — and control.
Agentic Automation in Gas Disaggregation
Bidgely’s agentic layer monitors your gas customer base around the clock — flagging anomalies, surfacing program-eligible homes, and routing the right insight to the right team without manual effort.
Powering appliance-level insights from AMI and non-smart meter data
Continuously analyzes gas consumption to identify appliance-level patterns — heating, water heating, and other major loads — and surfaces changes as they happen.
Automatically flags bill anomalies and identifies likely root causes at the appliance level — so CSRs walk into every call already knowing the answer.
Matches customers to efficiency and savings programs based on actual gas usage and appliance profiles — not assumptions or broad demographic segments.
GenAI for Gas Customers
Every answer — to a customer or a CSR — is grounded in that home’s actual appliance-level usage, not a generic LLM prompt.
Explains gas usage in plain language. Example: “Your heating system is driving most of your gas usage this month due to colder temperatures. Improving insulation or adjusting thermostat settings could reduce your bill.”
Instantly surfaces appliance-level insights during calls — so agents can explain bills clearly, recommend next steps, and resolve in one touch instead of three.
Bill breakdowns and usage charts with embedded natural-language explanations. Customers tap any spike or line item and get a plain-English reason — powered by the same disaggregation that drives your CSR tools.
Proven Results
Peer Utilities:
With only monthly bill-level visibility, this utility’s CSRs were stuck explaining gas spikes they couldn’t actually see — and program teams were targeting efficiency offers without knowing which homes had inefficient heating. Bidgely’s disaggregation gave both teams appliance-level intelligence built on the same data they already had.
“Bidgely turned our gas bills into a conversation we could actually have with customers — at the appliance level. Our CSRs resolve faster, and our EE team finally knows which homes to target.”
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