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.
Before Edgemant, ElevCorp operated with outdated systems that generated inefficiency, high costs, and a poor customer experience:
Repairs were only made when the elevator failed. Average response time: 4-8 hours. Very annoyed customers.
No pattern analysis. Unpredictable failures. Maintenance based on a 'fixed schedule' without intelligence.
240 field technicians. Inefficient travel. Primitive GPS. Wasted fuel and time.
Maintenance revenue: $3.2M/year. Net margin: 8% (very low). No differentiation.
NPS: 32 (very low). Recurring complaints: 'We don't know when they'll come'.
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.
An Edgemant remote monitoring and predictive maintenance platform was implemented, transforming the business model:
3,200 Edgemant mini-gateways installed. Real-time monitoring of 40+ parameters per elevator.
Algorithms detect anomalies before failures. Prediction with 95% accuracy.
System prioritizes alerts by criticality. Technicians receive only what's important. Reduction: 92% false positives.
AI calculates more efficient routes. Reduces travel time by 40%. Fuel and time saved.
360° visibility of the entire fleet. Metrics by client, location, elevator type.
Premium predictive services. Customers pay more. Margin: 35% (vs 8% before).
| 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% |
Valor Total Creado: $9.74M USD Year 1
Inversión Inicial: $4.2M USD
ROI Año 1: 232% | Payback: 2.3 months
Installation of 100 Edgemant gateways in 5 key buildings. Validation of predictive AI. Training of 20 technicians with new app.
Deployment of 3,200 gateways simultaneously. Migration of historical database (10 years). Full training of 140 optimized technicians.
Launch of premium predictive service. Integration with billing. Personalized reports for clients. Exponential subscriber growth.
Acceleration, temperature, vibration, position, current
5G, WiFi, Cellular with automatic failover
Edge fault prediction algorithms
iOS/Android with real-time dispatch
Total visibility of 3,200 elevators
For integration with client systems
"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."
Edgemant allowed ElevCorp to create new services and revenue streams:
Customers pay +25% for access to prediction 48h before failures. 2,100 subscribed customers. Revenue: $5.2M/year.
Customers receive energy consumption reports. Optimize usage. Customers pay $200-500/month for service. Revenue: $1.8M/year.
Premium customers pay for guaranteed SLA. ElevCorp can now comply. Customers: 680. Revenue: $1.4M/year.
If you manage an elevator fleet, Edgemant is the solution to transform your business model and create new revenue.