ElevCorp - Elevator Modernization

Digital Transformation with Edgemant Edge Computing

ElevCorp Peru is a company specializing in elevator modernization and maintenance. It operates 3,200 elevators in Lima, distributed across hotels, hospitals, corporate, and residential buildings.

In 2024, they faced critical challenges: lack of predictive monitoring, slow response times to failures, high operating costs, and tight profit margins. With the implementation of Edgemant Edge Computing, they transformed their business model and became innovation leaders.

3,200 Monitored Elevators
87% Reduced Response Time
94% Improved Availability
$8.4M Additional Revenue Year 1

The Problem: Manual and Reactive Monitoring

Before Edgemant, ElevCorp operated with outdated systems that generated inefficiency, high costs, and a poor customer experience:

Reactive Response

Repairs were only made when the elevator failed. Average response time: 4-8 hours. Very annoyed customers.

Lack of Predictability

No pattern analysis. Unpredictable failures. Maintenance based on a 'fixed schedule' without intelligence.

High Operating Costs

240 field technicians. Inefficient travel. Primitive GPS. Wasted fuel and time.

Tight Margins

Maintenance revenue: $3.2M/year. Net margin: 8% (very low). No differentiation.

Customer Satisfaction

NPS: 32 (very low). Recurring complaints: 'We don't know when they'll come'.

Lack of Data

No visibility into energy consumption, elevator usage, flow patterns. Decisions based on intuition.

Impacto de Negocio: Limited revenue. Low profit margin. Customer churn: 15%/year. Very limited growth potential.

The Solution: Edgemant IoT + Prediction

An Edgemant remote monitoring and predictive maintenance platform was implemented, transforming the business model:

IoT Gateway in Each Elevator

3,200 Edgemant mini-gateways installed. Real-time monitoring of 40+ parameters per elevator.

Local Predictive AI

Algorithms detect anomalies before failures. Prediction with 95% accuracy.

Smart Alerts

System prioritizes alerts by criticality. Technicians receive only what's important. Reduction: 92% false positives.

Route Optimization

AI calculates more efficient routes. Reduces travel time by 40%. Fuel and time saved.

Control Dashboard

360° visibility of the entire fleet. Metrics by client, location, elevator type.

New Services

Premium predictive services. Customers pay more. Margin: 35% (vs 8% before).

Antes vs Después (Transformación Operativa)

Antes (Manual & Reactivo)

  • Monitoring: Manual (field technicians)
  • Response time: 4-8 hours
  • Fault detection: AFTER the event
  • Technicians: 240 full-time in the field
  • Inefficient travel: 8+ hours/day
  • Revenue/year: $3.2M
  • Net margin: 8%
  • NPS: 32 (very low)

Después (Edgemant Predictivo)

  • Monitoring: Automatic (24/7 at the edge)
  • Response time: 30 minutes (average)
  • Fault detection: 48-72 hours BEFORE
  • Technicians: 140 optimized (17 administrative)
  • Efficient travel: 4-5 hours/day
  • Revenue/year: $11.6M (+262%)
  • Net margin: 35%
  • NPS: 72 (excellent)

Stack Tecnológico Implementado

Micro Gateway

Edgemant Micro Gateway

IA Predictiva

Predictive AI

5G + WiFi + Cellular

Route Optimization

Analytics

Real-time Analytics

Technician App

Funcionalidades Implementadas

Funcionalidad Detalles Técnicos Resultado Cuantificado
Predictive Monitoring 40+ parameters per elevator. AI detects anomalies 48-72h in advance. Accuracy: 95%. Failures avoided: 87%. Downtime reduced: -92%
Fast Response Prioritized alerts. Optimal GPS. Automatic dispatch. Smart routing. Response time: 4-8h → 30min. Happy customers: +78%
Fleet Optimization 140 technicians vs 240 before. Optimized routes. Fuel -40%. Productivity +180%. Costs: -$1.2M/year. Margin: 8% → 35%
New Premium Service Optional predictive monitoring. Premium customers pay an extra fee (+25%). Additional revenue: $8.4M. 2,100 subscribed customers
Usage Analysis Energy consumed, usage frequency, demand peaks. Reports for clients. Clients leverage insights. Renewal: 88% (vs 65% before)
Preventive Maintenance Smart scheduling. Part replacement BEFORE failure. Zero emergencies. Availability: 94%. Satisfaction: +94%

Resultados Alcanzados (Primeros 12 Meses)

$8.4M Additional Revenue
262% Revenue Growth
35% Profit Margin
30 min Response Time
92% Fault Reduction
72 NPS (Excellent)

Análisis de Retorno de Inversión

$8.4M Revenue from New Service
$1.2M Operational Savings
$540K Fuel Reduction
2.3 meses Payback Period

Valor Total Creado: $9.74M USD Year 1
Inversión Inicial: $4.2M USD


ROI Año 1: 232% | Payback: 2.3 months

Detalles de Implementación

Fases del Proyecto

Phase 1: Pilot (Month 1)

Installation of 100 Edgemant gateways in 5 key buildings. Validation of predictive AI. Training of 20 technicians with new app.

Phase 2: Expansion (Months 2-4)

Deployment of 3,200 gateways simultaneously. Migration of historical database (10 years). Full training of 140 optimized technicians.

Phase 3: Monetization (Months 5-12)

Launch of premium predictive service. Integration with billing. Personalized reports for clients. Exponential subscriber growth.

Tecnologías Integradas

Sensors

Sensors

Acceleration, temperature, vibration, position, current

Connectivity

Connectivity

5G, WiFi, Cellular with automatic failover

AI

AI

Edge fault prediction algorithms

Technician App

iOS/Android with real-time dispatch

Web Dashboard

Web Dashboard

Total visibility of 3,200 elevators

Open API

For integration with client systems

Testimonio del Cliente

"Edgemant allowed us to completely transform our business model. We went from being a reactive maintenance provider to innovation leaders in predictive maintenance. Our technicians now use real data instead of intuition. Customers see the value immediately: fewer shutdowns, fast response, and analysis of their own elevators. The profit margin exploded from 8% to 35%. We are considering expanding to 10,000 elevators in the next year. Without Edgemant, it wouldn't be possible."

Eng. Fernando Montoya , General Manager, ElevCorp Peru

Innovación de Modelo de Negocio

Edgemant allowed ElevCorp to create new services and revenue streams:

1. Predictive Maintenance (Premium)

Customers pay +25% for access to prediction 48h before failures. 2,100 subscribed customers. Revenue: $5.2M/year.

2. Energy Analytics Service

Customers receive energy consumption reports. Optimize usage. Customers pay $200-500/month for service. Revenue: $1.8M/year.

3. Guaranteed 99% SLA

Premium customers pay for guaranteed SLA. ElevCorp can now comply. Customers: 680. Revenue: $1.4M/year.

Are You an Elevator Service Provider?

If you manage an elevator fleet, Edgemant is the solution to transform your business model and create new revenue.