AI-driven Data Collection
The HappyOps AI-driven data collection modules gather all data produced by your factory's OT and IT systems as well as data manually entered by the workers.
Each module is designed to seamlessly integrate into your various systems, such as your ERP, your MES, and your machines. We identify the required data points at the beginning of the project. Once the modules are implemented, live data is collected, cleaned, and structured for export into a database.
After utilizing AI to collect, structure, and clean historical data, the next step is process orchestration.
The HappyOps Factory Runtime not only streamlines this orchestration but also facilitates modeling and digitizing intricate workflows between humans, machines, and materials, enhancing efficiency and accuracy across all operations.
Visualization and Reporting
Data visualization and reporting modules are software components designed to visualize and analyze data points.
They can calculate specific KPIs and apply advanced analytics to data collected over a period of time. Each module is specifically designed to integrate seamlessly with one or more data collection modules.
AI-driven Data Mining
The HappyOps Factory Runtime organizes the collected data coherently and transforms it into insightful visualizations and reports.
The true power of the HappyOps DNA emerges once these steps are completed. AI is applied to the data, unlocking even greater value: Analyzing both real-time and historical datasets reveals correlations, detects patterns and offers insights and predictions. This approach enhances existing operations and informs and shapes future strategies.