Services
Specializing in the EV Charging Industry
Providing intelligent solutions to address key after-sales service challenges in EV charging operations, including high maintenance costs, inefficient work order management, and delayed fault response—helping improve operational efficiency, enhance service quality, and protect customer experience.
Equipment O&M Difficulties
High costs of maintaining in-house O&M teams, inefficient manual inspection processes, and the lack of a centralized, intelligent management system often lead to delayed responses to equipment alarms. Without real-time monitoring and historical fault data tracking, recurring issues persist, reducing operational efficiency and increasing maintenance costs for EV charging infrastructure.
Inefficient Work Order & After-Sales Service
Geographically dispersed technicians make supervision and coordination difficult, while limited work order visibility hinders real-time tracking and accountability. Reliance on paper-based records complicates data management and archiving, resulting in slow response times, inefficient workflows, and reduced after-sales service efficiency for EV charging operations.
Customer Interests Undermined
Delayed detection of equipment issues leads to frequent charger failures and increased downtime, negatively impacting the EV driver experience. This reduces service reliability, erodes customer trust, and ultimately damages the brand reputation of EV charging operators.
EReduce costs and increase efficiency
Establish a Digital Intelligence O&M Hub
Enable real-time diagnosis and smart alerts to transform operations from passive response to proactive risk prevention. By leveraging data-driven insights, continuous monitoring, and intelligent analytics, the platform helps detect anomalies early, reduce downtime, and ensure stable, efficient operation of EV charging infrastructure.
- Core Issue: Faults are reported reactively, leading to delayed maintenance responses.
- Solution: Leverages visualized equipment data and remote intelligent alerts to deliver predictive risk management for charging terminals.
Data Dashboard
Platform-to-Device Connectivity ｜Real-Time Data Transmission ｜Building a Holistic View of Digital Operations
Charging Anomalies and Fault Alarms
Rapid Screening of Charging Anomalies/Fault Alerts｜Driving Informed O&M Decisions
Device Offline Alarm
Charge Point Offline/Reset Record Traceability｜Aid O&M Personnel in
Judging Device Communication Status
- Core Issue: Limited diagnostic dimensions in manual inspections lead to high workloads and latent operational risks.
- Solution: By integrating historical charging curves and message verification, the system intelligently pinpoints the root cause of equipment faults.
Custom Fault Code Management
Define and manage fault codes flexibly for accurate diagnosis and faster issue resolution.
Charging Curve & Message Analysis
Analyze charging curves and communication data to identify anomalies and optimize performance.
On-Device Log Retrieval
Access device logs remotely for efficient troubleshooting and reduced on-site maintenance.
Real-Time Charging Monitoring
Monitor charging status in real time to ensure operational visibility and system stability.
- Core Issue: Manual, on-site device upgrades double the workload.
- Solution: Tackle various non-functional issues intelligently with remote reboot and upgrade capabilities.
Remote Reboot
Minimizes Equipment Downtime｜Enables Rapid Return to Normal Operation｜Boosts Efficiency by Eliminating On-Site Visits
Remote OTA (Over-The-Air) Firmware Updates
Timely System Security Vulnerability Remediation｜Unified Intelligent Management
End-to-End Closed-Loop After-Sales Ticket Management System
Featuring intelligent dispatch, efficient task assignment, and flexible oversight, the system enables enterprises to streamline after-sales workflows and complete maintenance services with greater speed and accuracy. By ensuring full-process tracking and closed-loop management—from ticket creation to execution and verification—it improves operational efficiency, enhances service quality, and reduces response time.
Smart Work Order Management for EV Charging Operations
Streamline EV charging operations with smart mobile reservation and self-service repair reporting, efficient backend dispatch with intelligent oversight, and seamless online order acceptance with flexible work order routing—enhancing service efficiency, response speed, and overall operational performance.
Smart Mobile Reservation & Self-Service Repair Reporting
Work Order Submission
Users can conveniently submit work orders via App, H5, and other channels to report equipment issues with ease.
Work Order Details
Users may select from various service types—such as repair, installation, inspection, maintenance, or mail-in repair—and submit detailed work order information in the form of text, images, or videos.
Push Notifications
Interactive Transparency: Upon submission, the system automatically sends service notifications. Users can track progress in real time, cancel or expedite tickets, and maintain full visibility and control throughout the service journey.
Service Feedback
Upon completion, users can conduct online acceptance of the work, provide satisfaction ratings and service feedback, thereby closing the loop and enhancing engagement.
Backend Efficient Dispatch & Intelligent Oversight
Work Order Intake
Supporting multi-channel service intake—from smart warranty claims and user self-reports to bulk backend creation and predictive maintenance alerts.
Intelligent Dispatch
Administrators can customize dispatch rules based on work order type, service area, and priority. The system supports multiple modes, including nearest assignment, map-based dispatch, manual assignment, optimal technician selection, and a bid-based pool model.
Technician Management
Technician Profile Database: Build a comprehensive repository showcasing individual qualifications and skill ratings. The system updates historical task records and service status in real time, enabling live tracking and efficient dispatch of field personnel.
Work Order Analytics Dashboard
The entire work order service process is digitally recorded. The system automatically aggregates historical ticket information into electronic archives, providing data support for after‑sales service, operational decisions, and employee performance management.
Online Convenient Order Acceptance & Flexible Work Order Routing
Service Management
Technicians can update work order status online in real time, with features like location-based check-in and photo uploads (before, during, and after repair). This ensures clear responsibility, complete process traceability, and eliminates potential disputes.
Service Support
The system enables warehouse linkage control, allowing after-sales technicians to request and claim spare parts with one tap via the mobile app, ensuring no delay in service work.
Technician Payment & Settlement
After binding a withdrawal account in the Technician App, repairers can initiate withdrawal requests to the platform with clear cost breakdowns and efficient processing.
Technology & Services
Delivering advanced EV Charging Point Management System Technology & Services tailored to your business needs. We empower operators with bespoke solutions, seamless system integration, scalable architecture, and expert support—ensuring efficient deployment, optimized performance, and long-term success in the evolving EV charging ecosystem.
On-Premises Deployment
Third-party Device Integration and Joint Debugging
Deployment & Maintenance Services
Upstream & Downstream Partnership Matching
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Intelligent Operations Management FAQs
Explore frequently asked questions about TrendPower’s Intelligent Operations Management solutions, covering real-time monitoring, predictive maintenance, smart alerts, and work order management—designed to help optimize EV charging operations, improve efficiency, and enhance service reliability.
Intelligent Operations Management is a digital platform that integrates real-time monitoring, smart alerts, and automated workflows to optimize EV charging operations, improve efficiency, and enable proactive maintenance.
Predictive maintenance uses real-time data and analytics to detect potential faults early, reducing downtime, preventing unexpected failures, and ensuring continuous charger availability.
Real-time monitoring enables operators to detect issues instantly, respond quickly, and maintain stable operations, ensuring higher uptime and improved service reliability.
A closed-loop system ensures full lifecycle tracking—from issue detection to resolution and feedback—improving response speed, increasing first-time fix rates, and reducing operational costs.
Intelligent dispatch automatically assigns tasks based on location, urgency, and technician availability, reducing manual coordination and improving service efficiency.
Yes, modern EV charging management systems support remote monitoring, diagnostics, and troubleshooting, allowing operators to resolve issues without on-site intervention.
Smart alerts notify operators of anomalies in real time, enabling faster response and minimizing service interruptions before they impact users.
It addresses high maintenance costs, inefficient manual inspections, delayed fault response, and lack of data visibility by providing automated, data-driven management tools.
By enabling predictive maintenance, reducing unnecessary site visits, and optimizing workflows, the system lowers operational and maintenance costs while extending equipment lifespan.
Data-driven insights improve operational visibility, optimize resource allocation, and support better decision-making, leading to higher efficiency and improved customer experience.