Design rates that actually reshape the load curve.
Model TOU, TOD, CPP, and demand-charge rates against real appliance-level usage to predict bill impact and segment customers before a single enrollment email goes out.
IMPROVE PEAK LOAD SHAPING & SHIFTING
Stop Hoping Customers Will Shift. Start Knowing Which Ones Can. And Proving They Did.
Talk to an ExpertTOU and DR programs run on assumptions: generic outreach, stale baselines, and hope. The customers who can actually reshape your load curve are already in your territory. Bidgely finds them, coaches them to shift, and proves they did.
JOBS TO BE DONE
The flexibility is already in your customer base. These outcomes prove it.
Stop wasting budget on the wrong customers.
Target by actual shift potential, not billing averages. Per-household bill simulations and personalized messaging consistently outperform generic outreach on enrollment and conversion.
Coach customers past sign-up into lasting load shift.
Appliance-specific recommendations show each customer exactly what to change and how much they will save.
Prove grid value with verified post-enrollment analytics.
Quantify before-and-after load shapes from actual customer data, not modeled estimates. Stale 12-month pre-enrollment baselines don't cut it anymore.
USE CASES
What UtilityAI™ makes possible in load shaping and shifting.
The flexible load exists. The challenge is finding it, moving it, and proving it. One intelligence layer. One source of truth
TOU / TOD / CPP Rate Design & Launch
Design smarter rates. Recruit the right customers. Coach them to shift. Prove it.
Most TOU programs enroll based on billing data and hope. Wrong customers get bill shock. Right customers never enroll. Regulators see participation numbers with no verified load shift behind them.
- 10X higher TOU conversion with personalized recruitment vs. generic messaging
- 900K customers auto-migrated to Time of Day (TOD) rates with 97–98% retention (PSEG Long Island)
- 72% reduction in customers increasing peak usage after targeted coaching (OG&E SmartHours)
- 9.2 MW demand swing from coaching alone, equivalent to $200K+ in avoided event-based Demand Response (DR) incentive payments, using only 2–3 personalized emails with no additional incentive spend
- 97 MW SmartHours demand savings, 114% actual-to-target performance
- 81%+ CSAT on coached TOU programs
Behavioral Demand Response
Turn peak events from blunt-force curtailment into precision demand flexibility.
Traditional BDR sends the same message to every customer. Without knowing which appliances drive each customer's peak contribution, cost per kW stays high and regulators question whether the program delivers real capacity value.
- 450,000+ customers enrolled in behavioral DR programs
- 0.2–0.5 kW peak demand reduction per participating customer
- Appliance-level segmentation identifies high-impact HVAC, water heater, and EV loads for targeted event messaging
- Self-serve utility console for seamless DR event triggering and post-event close-the-loop communications
- Pre-event, during-event, and post-event personalized communications powered by disaggregation insights
DERMS / DRMS / VPP Targeting & Recruiting
Find the flexible assets hiding on your grid. Recruit the customers who own them.
The flexible capacity you need is already on your grid. You just can't see it yet. Broad campaigns keep missing the highest-value DER owners because they target the wrong signal.
- 43% lower cost per kW through targeted DR recruitment ($149 vs. $260/kW)
- 1.3 kW/car load reduction from targeted EV recruitment, 3X the industry average²
- 41% click-through on targeted DER campaigns vs. single-digit industry benchmarks³
- 33,000 EV candidates compressed to 1,000 high-value targets (NV Energy)
- Cost of load shifting drops from ~$250/kW to sub-$90/kW at scale with targeted approach
- Capacity procured through targeted DER recruitment costs a fraction of supply-side alternatives
AGENTIC AUTOMATION
AI agents that keep your demand flexibility programs running and improving—without manual intervention.
Built on years of proven AI intelligence, these agents automate the work your team either spends too much time on or never gets to.
Agentic Value, Modeled
$3–5M
In annual value from higher load shift per dollar spent, faster program iteration, reduced analyst hours, and lower cost-per-kW for DR capacity. One utility’s targeted coaching produced a 9.2 MW demand swing worth $200K+ in avoided incentive payments.
Demand Flexibility Agent
Monitors TOU and DR performance by segment. Flags poor performers mid-cycle, triggers coaching interventions, and identifies high-value participants for retention before the season ends.
Rate Simulation Agent
Models proposed and active TOU, TOD, CPP, and demand-charge structures across your customer base. Surfaces bill-impact distributions, shiftable-load potential, and recruitment cohorts without custom analysis.
DR Event Optimization Agent
Identifies the highest-impact customers for each event based on real-time appliance profiles, triggers personalized communications, and closes the loop with post-event analytics.
GENAI
Personalized load-shift coaching at a scale no human team can match.
Energy Assistant
Customers ask plain-language questions about their Time of Use (TOU) rate, peak usage, and what they can do to save. The Energy Assistant responds with appliance-specific, dollar-based answers grounded in that customer’s actual usage, not generic tips.
Example: “Your EV is charging during peak hours 4 days a week. Shifting to your super off-peak window could save you $22/month.”
CSR Copilot
When a TOU customer calls about a high bill, the CSR Copilot instantly surfaces which appliances drove the increase, shows before-and-after rate-period costs, and suggests personalized load-shift actions the agent can walk through. CSRs equipped with appliance-level TOU context at one utility contributed to a modeled $688K in annual operational savings from lower call volume, reduced handling time, and higher first-call resolution.
PROVEN RESULTS
Utilities that stopped guessing and started knowing.
DEPLOYED WITH
FEATURED CASE STUDY
OG&E Revitalizes TOU Program With Behind-the-Meter Insights
“Of the tools that I use to do my job, this is the one that I’ve become most heavily dependent on over the past year. Every question that I’ve asked is not only answered very quickly, but also, I look a month from now and the tool has changed in a way that I wouldn’t have had to ask that question again.” Maddie Emerson, Manager, Product Development & Programs, OG&E
- 97 MW SmartHours demand savings
- 72% reduction in customers increasing peak usage
- 9.2 MW demand swing from coaching alone
- 114% actual-to-target performance
Resources
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Video
Bidgely Voice Assistant Featuring Google Voice
The discussion covers how data-driven insights are helping utilities build a more resilient grid and improve customer response during outages. -
Video
Energy Intelligence Boosts Utility Tech Stack
Integrating seamlessly from billing to CRM, providing high-fidelity insights that power better decision-making. -
Webinar
EMACS WEBINAR SERIES: Achieving Behavioral Energy Efficiency at Scale
In this webinar, learn how gas utilities SoCalGas and Columbia Gas of Ohio have successfully deployed residential behavioral Energy Efficiency programs. Gas utilities have an opportunity to leverage their meter data—monthly, hourly, or 15-minute—in digital communications that empower residential customers to take control of their energy usage, especially during the ... -
Video
Four Phases to Scale Utility Electrification
This granular view is essential for forecasting electrification impacts and optimizing transformer loading. -
Video
Bidgely Engage: Puget Sound Energy & SECC Collaboration
Hear how personalization and segmentation are critical for building trust and navigating the energy transition. -
Video
Austin Energy EV Champions & Bidgely AI Solutions
Leverage UtilityAI™ to target, enroll, and manage EV loads effectively, reducing peak stress and aligning operations with climate goals. -
Video
Bidgely Home Energy Reports 2.0 Webinar
Explores how next-generation, behavioral HERs uplift customer experience and energy savings while supporting equitable engagement across diverse segments. -
Video
Con Edison Clean Energy Gold Standard Q&A with Smart Energy Decisions
Hear about the foundational role AI plays in driving customer engagement, managing DERs, and achieving clean energy benchmarks.