DEMO
Turn AMI Data Into Personalized Energy Intelligence
Reveal appliance-level energy usage and customer insights to deliver more relevant, actionable experiences.
Bidgely's behind-the-meter load disaggregation transforms AMI interval data into detailed appliance-level intelligence for every customer. By identifying appliance ownership, usage patterns, and specific equipment attributes, utilities can move beyond generic customer segments to understand what is driving energy consumption.
The platform can identify patterns such as seasonal cooling demand, EV charging, water heating, HVAC degradation, and short cycling, while continuously refining detection and estimation accuracy. This intelligence creates a detailed customer profile that can include appliance usage, lifestyle characteristics, EV and solar adoption potential, and program eligibility.
Utilities can then use these insights to deliver personalized recommendations, timely alerts, appliance-specific coaching, and relevant program messaging. From time-of-use coaching and energy efficiency opportunities to EV and solar insights, Bidgely helps utilities create more meaningful customer journeys while supporting goals such as customer satisfaction, load shifting, and energy efficiency.
Appliance-Level Intelligence
Identify the appliances behind each customer's energy consumption and understand when and how they are being used.
Personalized Customer Profiles
Build detailed customer profiles using appliance usage, equipment attributes, lifestyle signals, and program eligibility.
Targeted Energy Engagement
Deliver timely recommendations, alerts, and program messaging based on each customer's unique energy profile.
Bidgely's AI fuels insights for 45+ utilities and their 38 million consumers.
