Use Cases

Anomaly Detection:

Explore one or multiple data sets and identify irregularities in the data that reflect different types of problems in the production process.

Defect Rate Reduction:

Minimize the occurrence of defects to improve product quality by identifying the combination of set points that produce the best quality output.

Prescriptive Maintenance:

Predict and prescribe maintenance actions to prevent equipment failure based on an AI-based analysis of your assets' vibration signals.

Set Point Recommendation:

Optimize your processes, increase yield and/or reduce defect rates with machine learning models that deliver operational set points recommendations based on current condition.

Energy Saving:

Implement strategies to reduce energy consumption by reducing process fluctuations and reducing the amount of energy needed to maintain the process stable.

Close Loop Automation:

Automate processes for continuous improvement by automatically implementing the model results in your production process.

GPS Tracking Analysis:

Analyze GPS data to make your operations more efficient and get insights on the current critical points.

You can extend Wizata's scope and apply AI models to additional use cases related to time-series data by integrating services such as weather forecasts, location APIs, inventory systems, and sales management systems.