Transform utilities from commodity providers into customer-centric energy partners through AI-driven insights, hyper-personalized recommendations, and proactive omnichannel engagement.
As a residential customer, I need personalized energy insights and recommendations to understand my usage patterns and reduce my energy bills.
As a customer service manager, I need proactive engagement tools and predictive analytics to address customer needs before they contact us.
As a demand response program manager, I need customer segmentation and targeting to optimize enrollment and participation rates.
As a marketing director, I need omnichannel engagement capabilities with personalized campaigns to improve customer loyalty and lifetime value.
Inventory customer data sources, conduct initial customer segmentation analysis, prioritize use cases, and select technology stack.
Build data integration pipelines, create customer features, train ML models for predictions and recommendations.
Develop engagement channels, create personalized content, configure marketing campaigns, integrate with existing systems.
Pilot with customer subset, incorporate feedback, expand to all customers, continuous optimization and improvement.
| Component | Capability | Technology |
|---|---|---|
| Usage Analytics | Consumption patterns, disaggregation, peer comparison | Smart Meter Data, ML Analytics |
| Recommendations Engine | Efficiency tips, rate optimization, upgrade suggestions | Collaborative Filtering, Deep Learning |
| Demand Response | Segmentation, event targeting, incentive optimization | Predictive Models, Gamification |
| Engagement Platform | Outage comms, bill alerts, program enrollment | CX Cloud, Marketing Automation |
| Omnichannel | Mobile, web, voice, chat, email/SMS | Conversational AI, API Integration |
Become a trusted energy advisor through AI-driven personalization and proactive customer engagement.
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