Core Capabilities of the AI App
Customer 360° Profiling
- Aggregates data from billing history, energy usage, demographics, digital behavior, and service interactions
- Builds a unified, real-time customer profile to inform loyalty strategies
Predictive Loyalty Triggers
- Detects early signs of disengagement (e.g., reduced app logins, fewer referrals, negative support sentiment)
- Triggers proactive outreach or incentives to re-engage customers
Personalized Rewards & Offers
- Tailors loyalty rewards based on customer preferences, usage patterns, and life events
- Examples: discounts on smart thermostats, bonus points for reducing peak usage, or early access to green energy plans
AI-Powered Engagement
- Uses conversational AI to deliver personalized messages via preferred channels (email, app, chatbot)
- Offers solutions like bill smoothing, energy-saving tips, or upgrade recommendations
Continuous Learning
- Continuously retrains models with new data to adapt to changing customer behavior and market conditions
Integration with Broader Energy Systems
The app would integrate with:
- Smart meters for usage data
- CRM systems for communication history
- Billing platforms for reward redemption
- Grid management systems to align loyalty incentives with load balancing goals