# EcoMeter AI Demo Script

## Pre-Demo Checklist

- Run `npm run dev` and open the application at `http://localhost:3000`.
- Confirm the demo datasets load without errors.

## Live Demo Flow

1. **Welcome & Vision**  
   “EcoMeter AI is our carbon intelligence cockpit. It transforms raw activity data into decisions within minutes.”

2. **Home → Load Demo Dataset**  
   - Click **Use Demo Dataset**.  
   - Narrate that the dataset includes transport, electricity, travel, and manufacturing emissions for Q4 2025.

3. **Dashboard Highlights**  
   - Point to the top metrics (departments, total CO₂e, EcoScore).  
   - Explain the bar and pie charts showing the largest contributors.  
   - Hover over the monthly line chart to reveal trend tooltips.

4. **AI Insights**  
   - Scroll to the AI card, click **Generate Insights**.  
   - Explain that the on-device insight engine digests aggregated data to produce summary, actions, and a forecast snippet.

5. **Forecast Panel**  
   - Present the “Current vs Optimized” chart.  
   - Note the projected reduction percentage and how the optimized path relates to the AI actions.

6. **EcoScore & Admin**  
   - Explain the EcoScore heuristic and color code.  
   - Optionally visit the Admin page to show raw activity records for auditing.

7. **Closing Statement**  
   “EcoMeter AI is an MVP. With real-time feeds from smart meters and ERPs, it can continuously monitor, benchmark, and coach teams toward net-zero goals.”

## Q&A Prompts

- How easy is it to onboard new business units? (Answer: upload-ready template or API integration.)
- Can the AI suggestions be exported? (Answer: yes, shareable from the UI or via API.)
- How accurate is the forecast? (Answer: currently heuristic; production version would ingest historicals and energy market data.)