Deliver your Behavior EE savings while uplifting your CSAT.
Appliance-level personalization raises engagement where generic neighbor comparisons go flat.
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MAXIMIZE DSM PERFORMANCE
Programs for the Right Customer. Not the Average Customer.
Speak with an ExpertRegulators want higher savings at lower cost. Budgets are flat. And the customers who can actually move the needle are buried in large populations. Bidgely identifies who can save, which appliance can shift, and who will enroll, at every address.
JOBS TO BE DONE
DSM outcomes you can actually own.
Cut your per-kW and per-kWh costs permanently.
Precision targeting means fewer wasted incentives and higher-performing enrollees.
Recruit the right customers into every program.
Bidgely narrows a large population down to the customers with the right appliances and the highest propensity to act.
Prove program impact to regulators and executives.
Savings attributed at the appliance level, not modeled estimates. Measurable. Defensible.
USE CASES
Where appliance-level intelligence meets DSM outcomes.
Each use case uses the same appliance-level intelligence layer, so your energy efficiency, demand response, and program marketing teams operate from the same source of truth.
Home Energy Reports (Behavioral EE)
Personalized savings engagement, built to scale.
Legacy HERs flatten over time. They rely on neighbor comparisons, treat different households identically, and struggle to prove savings to evaluators. Bidgely replaces generic with precise.
- 2+ TWh in cumulative savings across Bidgely HER deployments
- Pacific Power: 200% of forecast savings in Oregon, 136% in Washington, top CSAT from evaluator
- Rocky Mountain Power: 41 GWh saved, 25% program cost reduction vs. legacy HERs
- PNM: 9.2 GWh evaluated savings, 127% of filed goal after redesign
- SoCalGas: 565K therms saved in year one
Demand Response Targeting & Recruitment
Find the customers who can shift load before you spend a dollar on outreach.
Bidgely reads cooling capacity, EV charger amplitude, charging windows, and pool pump type directly from meter data. No surveys. No proxies. Your recruitment list is built on confirmed shiftable load.
- 43% lower cost per kW through targeted DR recruitment ($149 vs. $260/kW)
- 73% improvement in cost-effectiveness for smart thermostat programs targeting top cooling consumers
- NV Energy: 33,000 EV candidates narrowed to 1,000 targets, 41% click-through rate, 1.2 kW/car load reduction vs. 0.2 to 0.3 kW industry benchmark
- PSEG Long Island: 70% reduction in on-peak EV charging through targeted TOU coaching
Energy Efficiency Program Targeting & Recruitment
Put every EE rebate in front of the customer most likely to convert.
Traditional EE targeting uses billing data and demographics. It cannot tell a degraded HVAC from a home that just runs hot, or flag a single-speed pool pump, an inefficient water heater, or high-saturation heating. The highest-potential savers go untouched.
- improved program uptake through appliance-level targeting
- 15% reduced marketing cost per enrollment
- NW Natural drove 238% of contracted savings in year one with a 97% realization rate
- CVA achieved 112% of savings goal
- 2.5x improvement in weatherization program participation through targeted outreach
AGENTIC AUTOMATION IN DSM
Agents that run your DSM programs. Not just report on them.
Bidgely’s agentic layer runs the DSM workflows your team currently does manually, from program health monitoring to targeting list generation to mid-cycle course correction, without adding headcount.
Agentic Value, Modeled
$3M+
In avoided DSM marketing waste. $4–6M/year in modeled value per utility across DR cost reduction, enrollment lift, and analyst time savings.
DSM Performance Monitor Agent
Monitors every program in your portfolio — DR, EE, TOU, managed charging — against enrollment and savings targets in real time. Flags underperformance mid-cycle before monthly reviews, identifies the root cause, and generates ready-to-act targeting lists for course correction.
Behavioral Engagement Agent
Runs personalized HER campaigns across paper, email, and digital channels continuously. Selects the next-best interaction for each customer from a library of behavioral tips, program promotions, and rate coaching, adapting to each household’s appliance profile, DER status, and savings potential.
Program Targeting Agent
Continuously scores every premise for EE, DR, TOU, and electrification program fit based on live appliance profiles, efficiency ratings, and behavioral signals. Delivers fresh candidate lists to your DSM and marketing teams without manual data pulls or analyst bottlenecks.
GENAI IN DSM PERFORMANCE
Plain-language answers to complex DSM questions.
Bidgely’s GenAI layer gives your DSM, program management, and customer operations teams a conversational interface to the data that drives every targeting decision and savings measurement.
DSM Program Copilot
A GenAI assistant for program managers. Ask plain-language questions about program health, enrollment gaps, and savings trajectory. Example: “How is my summer cooling DR program tracking?” → enrollment vs. target, participation rate, kWh savings vs. target, and key gap drivers.
Home Energy Advisor / Assessment
A conversational AI embedded in your portal or app that helps customers understand their usage, find savings opportunities, and explore program eligibility — with answers grounded in their actual appliance profile, not generic FAQs.
Program Eligibility Explainers
Automatically generated plain-language explanations of why a specific customer qualifies for a rebate, program, or rate plan — embedded in outreach to improve conversion and reduce call center inquiries.
PROVEN RESULTS
Deployed at scale. Measured at the meter.
FEATURED CASE STUDY
Compressed 33,000 EV candidates to 1,000 high-value targets using appliance-level intelligence. Achieved 41% click-through rate (vs. 5–15% industry norm), recruited 300+ customers in the first 24 hours, and delivered 1 kW/car load reduction — 3–5x the industry benchmark.
Read Case Study
20M personalized emails, 59% open rate, 81% customer satisfaction, 70% reduction in on-peak EV charging. J.D. Power #1 ranking.
238% of contracted savings in program year one, 97% realization rate.
Highest CSAT scores Cadmus has evaluated among behavioral programs. 200% of forecast savings in Oregon.
Footnotes — Industry benchmarks (not Bidgely data): ¹ Industry estimate cited in Bidgely DR Webinar materials. ² Industry benchmark for per-vehicle load reduction (0.2–0.3 kW/car), used as comparison to Bidgely/NV Energy result of 1 kW/car. ³ Industry norm for email CTR (5–15%), used as comparison to Bidgely/NV Energy result of 41%.
Resources
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Case Study
NW Natural Gas Customer Snapshot: NW Natural Delivers 197K+ Verified Therm Savings with AI-Powered Gas Intelligence
NW Natural needed a way to deliver measurable energy savings and customer bill relief while maximizing program resources. Using existing monthly gas billing data and Bidgely’s UtilityAI™-powered Home Energy Reports, the utility identified heating usage patterns and uncovered where customers had the greatest savings potential. By separating heating usage from ... -
Webinar
How FortisBC Transformed a Program Reset into AI-Driven Excellence
FortisBC saw an opportunity to enhance and expand their Home Energy Reports (HER) program—delivering better customer support and greater operational impact. The team set out to build on their existing foundation, evolving toward a more scalable, efficient, and insight-driven strategy. On June 16, 2026 at 12 PM ET, learn how ... -
Solution Brief
Bidgely Edge Intelligence Platform
Utilities face mounting pressure to detect emerging loads like EVs and behind-the-meter solar, and to scale analytics across millions of meters without growing cloud costs. AMI 2.0 introduces on-meter compute, enabling a new model for real-time intelligence at the grid edge. Bidgely's Distributed Intelligence platform deploys purpose-built software agents directly ... -
Video
The Energy Advisor Pivot: Succeeding in the age of Volatility, with AI (copy)
In this keynote, Nipun Jain explores how utilities can overcome the "Triple Squeeze" of hyper-volatility and new DER loads by pivoting toward an AI-driven advisor model. By transforming raw smart meter data into actionable intelligence, utilities can solve the paradox of green abundance where consumers often pay more despite negative ... -
Video
UtilityAI™ In-Depth: Bidgely - Itron Partnership Equips Utilities to Optimize AMI Data
Explains how the combined strengths enable utilities to unlock new value from AMI deployments through edge intelligence and enterprise analytics. -
Video
Highlights: Becoming a Digital Utility (DistribuTECH Plus)
Distills lessons emphasizing that modern utilities must be stakeholder-led and integrated, requiring cohesive digital transformation strategies for scalable outcomes. -
White Paper
Designing Cost-Effective EV Load Shift Programs
With millions of EVs hitting the grid, utilities need precise targeting to manage charging loads while maintaining grid stability. -
Video
AI-Powered Grid Planning at the Home Appliance Level
AI-powered disaggregation provides planners with highly accurate inputs for grid models that support better asset planning and DER integration. -
Article
AI-Powered Smart Alerts: Dynamic Customer Engagement
Deliver timely, personalized engagement that drives energy savings and program participation by reaching customers at the right moment. -
Article
Decarbonization: Six Utility Strategies
Outlines how leveraging AI, customer-level data, and flexible loads can align operational reliability, policy objectives, and customer expectations.