Integration & Analytics Demo
Experience the power of ElectriStay's smart integration platform and real-time analytics dashboard designed for hoteliers
Seamless Hotel System Integration
Property Management Systems
Direct integration with leading hotel PMS platforms for automated guest verification and billing
- Oracle OPERA Cloud
- Mews Systems
- Cloudbeds
- Custom API Support
Charging Infrastructure
Compatible with all major EV charging hardware using industry-standard protocols
- OCPP 1.6+ Protocol
- Real-time Status Updates
- Remote Start/Stop Control
- Smart Load Balancing
Payment Processing
Secure payment integration with automatic room charging for hotel guests
- PCI DSS Compliant
- Room Charge Integration
- Multiple Currency Support
- Automated Invoicing
Energy Management
Smart grid integration for optimal energy usage and cost management
- Dynamic Load Management
- Peak Demand Reduction
- Renewable Energy Priority
- Real-time Grid Data
Mobile Applications
Native mobile apps for guests and hotel staff with full feature access
- iOS & Android Apps
- Push Notifications
- QR Code Activation
- Multi-language Support
AI & Machine Learning
Advanced algorithms for pricing optimization and demand forecasting
- Dynamic Pricing Engine
- Demand Prediction
- Usage Pattern Analysis
- Automated Scheduling
Quick Integration Example
// Initialize ElectriStay API
const electriStay = new ElectriStayAPI({
apiKey: 'your-api-key',
hotelId: 'your-hotel-id',
environment: 'production'
});
// Create a charging session for a guest
const session = await electriStay.createSession({
guestId: 'guest-123',
roomNumber: '405',
vehicleType: 'Tesla Model 3',
chargingStationId: 'station-2',
targetChargeLevel: 80,
departureTime: '2025-06-22T09:00:00Z'
});
// Monitor charging progress
electriStay.on('chargingUpdate', (data) => {
console.log(`Charging progress: ${data.currentLevel}%`);
});
Live Booking Timeline Demo
Experience how the ElectriStay plugin seamlessly integrates with hotel booking systems to provide smart EV charging scheduling
Energy Analytics Dashboard
Weekly Energy Consumption Pattern
Energy usage trends across your charging stations
Real-time Station Status
Station 3 - Charging
Type 2 • 11kW • 23% Complete
Station 4 - Occupied
CHAdeMO • 50kW • Scheduled
Peak Usage Hours
18:00 - 22:00
Most charging sessions occur during evening hours when guests arrive
Average Session Duration
3.5 hours
Typical charging time for overnight guests with Level 2 charging
Carbon Offset
847 kg CO₂
Equivalent emissions saved through renewable energy usage this month
API Documentation
Authentication
// API Authentication
POST https://api.electristay.com/v1/auth/token
Headers:
{
"Content-Type": "application/json"
}
Body:
{
"client_id": "your-client-id",
"client_secret": "your-client-secret",
"grant_type": "client_credentials"
}
Response:
{
"access_token": "eyJhbGciOiJIUzI1NiIs...",
"token_type": "Bearer",
"expires_in": 3600
}
Create Charging Session
// Create a new charging session
POST https://api.electristay.com/v1/sessions
Headers:
{
"Authorization": "Bearer {access_token}",
"Content-Type": "application/json"
}
Body:
{
"guest_id": "guest-123",
"station_id": "station-2",
"room_number": "405",
"target_soc": 80,
"departure_time": "2025-06-22T09:00:00Z",
"pricing_tier": "standard"
}
Response:
{
"session_id": "sess_abc123",
"status": "scheduled",
"estimated_cost": 12.50,
"estimated_duration": 210,
"start_time": "2025-06-21T22:00:00Z"
}
Get Station Status
// Get real-time station status
GET https://api.electristay.com/v1/stations/{station_id}/status
Headers:
{
"Authorization": "Bearer {access_token}"
}
Response:
{
"station_id": "station-2",
"status": "available",
"connector_type": "Type2",
"max_power": 22000,
"current_power": 0,
"last_session": {
"end_time": "2025-06-21T18:30:00Z",
"energy_delivered": 35.2
}
}
RESTful API
Modern REST architecture with JSON responses and comprehensive error handling
Webhook Support
Real-time event notifications for charging status updates and system alerts
SDK Libraries
Native SDKs available for Python, Node.js, Java, and .NET platforms