Hotel Gran Luxe - Success Story with Edgemant

Digital Transformation with Edgemant Edge Computing

Hotel Gran Luxe is a 5-star establishment located in Lima, Peru, with 450 rooms distributed over 15 floors, restaurants, spa, and common areas.

In 2024, they faced critical problems with system control, guest experience, and operational efficiency. With the implementation of Edgemant Edge Computing, they achieved a complete transformation in less than 3 months.

450+ Connected Rooms
99.8% System Availability
45% Energy Reduction
8.9/10 Guest Satisfaction

The Problem: Fragmented Systems

Before Edgemant, Hotel Gran Luxe operated with multiple disconnected systems:

HVAC (Heating, Ventilation, Air Conditioning)

Centralized cloud system with 2-5 second latency. Guests had to wait minutes for temperature adjustments.

Lighting

DALI controls without synchronization. Lights turning off when not desired; uncontrolled energy consumption.

Elevators

No predictive monitoring. Unexpected failures caused 2-3 hour shutdowns, affecting the experience.

Room Access

Old magnetic card system. Security vulnerabilities reported 23 times in 2023.

Smart TVs & Entertainment

Slow synchronization. Guests experienced constant buffering and disconnections.

Energy Consumption

Monthly energy expenses of $45,000 USD. No granular control of consumption per room.

Impacto de Negocio: Guest satisfaction of 6.2/10, recurring complaints, high operating cost, and an overloaded IT team.

The Solution: Edgemant Edge Computing

An Edgemant architecture with edge processing was implemented, achieving:

Edgemant Gateway on Each Floor

15 gateways (one per floor) processing data locally. Latency reduced to <100ms.

Local Intelligence (AI)

Prediction and control algorithms running at the edge, NOT in the cloud.

Real-time Synchronization

All systems (HVAC, lighting, elevators) coordinated instantly.

Redundancy and Reliability

If the cloud fails, the edge continues to function. 99.8% guaranteed availability.

Improved Security

Processing sensitive data locally, without constant transmission to external servers.

Antes vs Después (Transformación Operativa)

Antes (Manual & Reactivo)

  • Latency: 2-5 seconds
  • Availability: 94.5%
  • Energy consumption: $45,000/month
  • Fault response: Manual (1-2 hours)
  • Guest experience: 6.2/10
  • Operating costs: $18,000/month
  • Bandwidth used: 850 GB/month

Después (Edgemant Predictivo)

  • Latency: <100ms
  • Availability: 99.8%
  • Energy consumption: $24,750/month (45% ↓)
  • Fault response: Automatic (<1 second)
  • Guest experience: 8.9/10
  • Operating costs: $9,200/month (49% ↓)
  • Bandwidth used: 120 GB/month (86% ↓)

Stack Tecnológico Implementado

Edgemant Gateways

Edgemant Gateways

IA Predictiva

Predictive AI

BACnet/ModBus

Edge Security

Analytics Local

Local Analytics

Cloud Synchronization

Funcionalidades Implementadas

Funcionalidad Detalles Técnicos Resultado Cuantificado
Rooms (450) HVAC/Lighting control with <100ms response. Preference prediction. Contactless digital access. Savings: $18,000/month. Satisfaction: +47%
Elevators (6 units) Predictive monitoring. Real-time anomaly detection. Automatic preventive maintenance. Downtime avoided: 98%. Response time: <1s
Common Areas Occupancy-based control. Adaptive lighting. Zone-based temperature management. Energy: -32%. Comfort: +56%
Restaurants & Spa Demand management. Schedule control. Service optimization. Operational efficiency: +28%
Security Distributed access control. Real-time auditing. Anomaly alerts. Incidents reduced: 94%. Response: <1s
Energy Granular circuit-level metering. Consumption prediction. Automatic load control. Monthly cost: -$20,250. ROI in 8 months

Resultados Alcanzados (Primeros 12 Meses)

45% Energy Reduction
49% Lower Operating Costs
99.8% System Availability
8.9/10 Guest Satisfaction
<100ms Response Latency
86% Less Bandwidth

Análisis de Retorno de Inversión

$20,250 Monthly Energy Savings
$8,800 Maintenance Reduction
$12,000 IT Staff Savings
8.2 meses Payback Period

Valor Total Creado: $369,900 USD
Inversión Inicial: $155,000 USD


ROI Año 1: 238% | Payback: 8.2 months

Detalles de Implementación

Fases del Proyecto

Phase 1: Diagnosis & Planning (Week 1-2)

A complete audit of existing infrastructure was performed. 23 critical points were identified. An Edgemant architecture with 15 gateways (one per floor) was designed.

Phase 2: Installation (Week 3-6)

Installation of gateways with network redundancy. Integration with existing systems without downtime. Training of the technical team (12 personnel).

Phase 3: Optimization (Week 7-12)

Fine-tuning of AI algorithms. Configuration of automation rules per floor. Personalized monitoring and alerts.

Tecnologías Integradas

15 Edgemant Edge Pro Gateways

15 Edgemant Edge Pro Gateways

Local processing with integrated AI

IoT Sensors

IoT Sensors

Temperature, occupancy, luminosity (650+ sensors)

Smart Controllers

Smart Controllers

HVAC, lighting, security

Control Dashboard

Control Dashboard

Real-time monitoring for the operations team

Guest Mobile App

Room control and integrated services

Testimonio del Cliente

"Edgemant completely changed the game for us. Before, we spent 45 minutes daily on reports and troubleshooting. Now, the system works on its own. Guests are happier because everything responds instantly, and our costs dropped more than we expected. The implementation was fast and seamless. The support team was exceptional."

Eng. Carlos Mendoza , Director of Operations, Hotel Gran Luxe

Innovación de Modelo de Negocio

Does Your Hotel Face Similar Challenges?

Edgemant Edge Computing is transforming hotels in Peru and Latin America. Energy savings, maximum availability, improved guest experience.