ADVANCE AFFORDABILITY
Identify income-qualified households at the premises level, match them to the right programs, and prove outcomes your regulators and stakeholders can defend.
JOBS TO BE DONE
Move beyond ZIP code averages and census-block proxies. Bidgely detects income-qualified customers at the premises level by combining income estimation, energy usage, energy density, arrearage data, and program participation into a single confidence-scored profile.
Customers often qualify for multiple programs but get enrolled in one at a time, often starting with the wrong one. Bidgely sequences interventions by urgency: bill stabilization before weatherization, assistance before efficiency upgrades.
AI-powered outreach dynamically adapts language, timing, and program recommendations to each household. Multilingual, personalized, and delivered across email, SMS, web, and print.
Measure pre- and post-program energy savings, billing relief, and arrearage reduction at the premises level. Enrolled customers save an estimated $300–$500 per year. Show regulators exactly who benefited, by how much, and that energy burden moved from above 8% toward the affordable threshold.
USE CASES
Every utility has customers who need help but can’t be found with traditional methods. Each use case runs on the same premises-level intelligence layer so your affordability, Demand-Side Management (DSM), and regulatory teams operate from one source of truth.
AGENTIC AUTOMATION IN AFFORDABILITY
Bidgely’s agentic layer automates the IQ workflows your team currently does manually, from premises-level detection to program recommendation to equity reporting, without adding headcount.
per year in customer bill savings from incremental IQ enrollment, plus $500K/year in reduced outreach waste from precision targeting.
Continuously scores every premises for IQ eligibility using income estimation, energy burden, arrearage risk, and program enrollment status. Surfaces the “stacked eligibility” segment: customers eligible for 3+ programs but enrolled in none. Generates prioritized outreach lists ranked by urgency and savings potential.
For each identified IQ customer, determines which programs to recommend and in what sequence. Applies a decision hierarchy: arrears management first for accounts at disconnect risk, rate assistance second for high energy burden, weatherization third for inefficient housing stock, and electrification rebates for eligible homeowners.
Tracks IQ program participation by geography, income band, and demographic segment. Flags enrollment gaps against Justice40 and state equity mandates. Generates regulator-ready reports showing who was reached, who was missed, and what outcomes were delivered.
GENAI IN AFFORDABILITY
Bidgely’s GenAI layer powers personalized, multilingual IQ outreach at a scale no human team can match. Every message is grounded in that customer’s actual usage, energy burden, and program eligibility.
A conversational AI embedded in your portal or app that helps IQ customers understand their energy burden, explore available programs, and check eligibility with clear, plain-language explanations grounded in their actual usage profile.
GenAI-powered Next Best Interactions dynamically adapt language, timing, and program recommendations to each IQ household. Incorporates income probability, energy usage, arrears patterns, and weather to ensure every interaction is timely and relevant.
When a customer calls about a high bill or payment difficulty, the CSR Copilot surfaces their IQ eligibility status, energy burden score, and recommended program stack so the agent can connect them to the right help in one call.
PROVEN RESULTS
DEPLOYED WITH
“Bidgely helped us create a segment to isolate customers who were below $70,000 and in the top 10% of electrical usage.” Barb Modey, Customer Satisfaction Market Research Manager, PacifiCorp
160,000+ eligible households identified. Heating costs reduced from $424 to $163/month for one targeted household, saving ~$700 over three months. 90 rural customers qualified for USDA grants in 10 minutes. ~27% reduction in high-bill truck rolls. Low-income customers who previously rated their utility lower on trust and satisfaction are now receiving the personalized support that rebuilds that relationship.
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