Our client was a leading global provider of industrial software solutions that empowered businesses to manage and optimize their operational processes. Their software solutions enabled businesses to connect, monitor, and control their operations in real-time, leveraging data and analytics to drive better decision-making. Their products cover a wide range of industries, including oil and gas, power and utilities, mining, and marine, among others.
The client’s critical need was to create a comprehensive view of multiple data sources in an easily accessible format for the client's stakeholders. This was achieved through the development of slide view type dashboards that allowed for quick access to information. Additionally, the system captured real-time data from sensors and business systems, monitor dwell-site equipment, and assessed reservoir health to identify potential issues and take corrective action before they became significant problems.
The system's ability to derive maintenance plans that optimize equipment reliability and workforce performance was also critical.
Codvo Team worked on the end-to-end implementation. The solution offered by this system included the ability to execute end-to-end workflows that connect people involved in day-to-day maintenance operations seamlessly. Additionally, it offered failure management capabilities, which consolidated information about equipment non-conformances, providing insights into underlying failure modes and minimizing unnecessary maintenance. The system also provided real-time information about individual workload, personnel distribution, training, and workforce planning.
Fleet management was also included, which helped users select the optimal assets for the next job. Another critical aspect of this system was its ability to manage plant safety and productivity, utilizing video analytics and machine learning models.
Finally, this system was built on a scalable, cloud-native SaaS architecture, ensuring that it can grow and adapt as needed to meet the needs of the organization.
-AWS Cloud Services – For scalable, cloud-native SaaS architecture
-Python & JavaScript – Backend and frontend development
-Apache Kafka – Real-time data ingestion and streaming from sensors
-Grafana / Kibana – Dashboards for real-time visualization
-TensorFlow / OpenCV – For machine learning models and video analytics
-PostgreSQL / InfluxDB – Time-series and structured data storage
-Docker / Kubernetes – Containerization and orchestration for scalability
-Node.js / React – For interactive dashboard UI
-JIRA / Confluence – Project management and documentation
-Achieved 30% faster turnaround in maintenance and operational planning.
-Improved equipment reliability and reduced downtime through predictive maintenance strategies.
-Enhanced workforce productivity and planning using real-time workload and training insights.
-Enabled data-driven decisions via unified, slide-view dashboards across business and field operations.
-Reduced unnecessary maintenance by identifying root causes through failure management analytics.
-Delivered a scalable, future-ready SaaS solution capable of adapting to new data sources and technologies.
-Empowered stakeholders with a real-time, holistic view of operations, boosting overall performance and efficiency.
