Bidgely has announced that its Analytics Workbench is helping utilities improve energy equity and affordability programs through AI-driven customer targeting and behind-the-meter intelligence. The platform is designed to help utilities identify households eligible for income-qualified programs and deliver more personalized energy-saving support.
The company said the platform supports multiple utility use cases, including energy audits, EV load management, time-of-use rate programs, and weatherization initiatives.
Why This Matters for Utilities
Utilities are under pressure to manage several priorities at once: rising electrification, EV adoption, affordability concerns, grid planning, and customer engagement. Bidgely is positioning Analytics Workbench as a modular AI entry point that helps utilities start with specific problems and scale over time.
Abhay Gupta, CEO of Bidgely, said utilities no longer need to choose between EV management and income-qualified program adoption. He said the platform allows utilities to start with high-value use cases, prove ROI, and then expand AI across the enterprise.
Reported Utility Results
Bidgely cited several deployment outcomes. A South Central U.S. utility achieved more than 70% reduction from high-peak-usage customers through variable pricing optimization. A major Northeastern utility saw a 98% retention rate during a Time-of-Day rollout by reducing bill shock. NV Energy tripled demand response recruitment and achieved load-shift results between 2.5x and 10x greater than typical events.
The company also said Avista used the platform to identify weatherization opportunities in vulnerable communities, including one example of 7,500 kWh in energy savings and nearly $800 saved within three billing cycles.
A Single Data Layer for Customer and Grid Programs
Analytics Workbench functions as a centralized consumption analytics engine. Bidgely said it aligns marketing, demand-side management, and load research teams by replacing siloed data with appliance-level visibility.
That is important because utilities often manage affordability, EV, DER, rate design, and efficiency programs separately. A unified analytics layer can help match the right program to the right household while improving outcomes for both customers and the grid.
Why EnergyInsyte Readers Should Watch This
The utility sector is moving from broad customer programs to more precise, data-driven engagement. AI can help utilities identify which customers need support, which homes are likely to respond to specific programs, and which actions will reduce peak demand or improve affordability.
Bidgely says it serves more than 50 million homes and uses a platform backed by 19 foundational patents to turn meter data into energy intelligence for utilities.
For utility operators, the larger message is that AI adoption does not need to begin with a full enterprise overhaul. It can start with practical use cases such as affordability, TOU retention, EV recruitment, and weatherization targeting.
Official source: Business Wire
FAQ
What is Bidgely’s Analytics Workbench?
It is an AI-powered utility analytics platform that uses behind-the-meter intelligence to support programs such as energy audits, EV load management, TOU rates, and income-qualified customer engagement.
What results did Bidgely report?
Bidgely cited outcomes including more than 70% peak-load reduction, 98% TOU retention, tripled EV demand response recruitment, and targeted weatherization savings.
