Find the households that already bought an EV or heat pump.
Identify new large electric loads on the grid, help customers sign up for the best dynamic rate to minimize their bills, and shift peak load at the same time.
ACCELERATE BENEFICIAL ELECTRIFICATION
Don't let your operational investments stall. Find out how to unlock ROI, reliability, and resilience across your utility.
OUTCOMES
Four jobs Bidgely gets done for electrification teams — all powered by the same appliance-level intelligence.
Identify new large electric loads on the grid, help customers sign up for the best dynamic rate to minimize their bills, and shift peak load at the same time.
Identify heat pump, water heater, and EV charger candidates with our propensity algorithms before they make a purchase decision so your rebate drives the conversion instead of subsidizing it.
Know where EV charging, heat pump adoption, and water heater loads are concentrating at the transformer, feeder, and substation level before they stress it.
Measure and report verified savings and load shift & reduction from electrification programs with appliance-level attribution, not billing regression estimates.
Solutions
Each use case uses the same appliance-level intelligence layer — so your CX, DSM, and marketing teams operate from the same source of truth.
Find who will benefit most and is ready to move — before you spend a dollar on outreach.
Replace the highest-cost appliances first — with precision.
Get ahead of home charging load before it concentrates on your grid.
AGENTIC AUTOMATION IN ELECTRIFICATION
Bidgely's agentic layer runs the electrification workflows your team currently does manually — from candidate identification to rebate recruitment to grid impact monitoring — without adding headcount.
Saved in infrastructure deferral, modeled on 1M customers
Continuously scores every premises for heat pump, water heater, and EV charger readiness using live appliance profiles, income signals, and DER data. Updated candidate lists feed directly to DSM and marketing with no manual pulls.
Identifies program-eligible customers, segments by propensity and timing, and runs targeted outreach journeys — including follow-ups and re-engagements — without manual campaign management.
Tracks EV load, heat pump adoption, and water heater concentration by feeder and substation in real time. Flags stress points before they escalate and feeds directly into grid planning, DERMS, and VPP program enrollment.
GENAI IN ELECTRIFICATION
Bidgely's GenAI layer runs on real data, not generic prompts. Every answer is grounded in that customer's disaggregated appliance profile and electrification readiness score.
Conversational AI embedded in your portal or app that answers “what if I buy a heat pump, EV, or water heater” questions with personalized cost estimates, rebate eligibility, and rate comparisons — based on that customer's actual usage.
A GenAI assistant for program and DSM teams. Ask plain-language questions about pipeline, candidate segments, and grid impact. Get appliance-level answers without building a custom query.
Auto-generated plain-language explanations of why a specific customer qualifies for a rebate. Embed directly into outreach and portal experiences to improve conversion.
PROVEN RESULTS
Peer Utilities:
Nova Scotia Power needed to accelerate residential heat pump adoption while managing the grid impact of new electric heating load. Using Bidgely's appliance-level intelligence, NSP identified high-propensity candidates already running inefficient electric resistance or aging gas heating — targeting them before broad-market campaigns reached saturation.
“Bidgely's heat pump detection gave our team a targeted list we could act on immediately — we stopped spraying marketing dollars at the whole territory and started converting the customers who were already ready.”
Featured in a joint Bidgely + Utility Dive campaign — how NV Energy used AMI-based EV detection to find thousands of unknown EV households and enroll them in managed charging.
Read the Case StudyA combined deployment that unified Avista's electrification marketing and grid planning teams around a single appliance-level view of the territory.
Read the Case StudyHydro One used Bidgely to flag where EV charging was concentrating at the feeder level before it caused transformer stress — enabling proactive upgrades instead of reactive spend.
Read the Case StudyResources