Data Latency and Small ML + Feature Improvements
Enhancements
- Improved Data Responsiveness
- We have optimized the application to ensure faster data processing and improved overall responsiveness. Users will experience quicker load times and more efficient data handling.
- Visual Bug Fixes
- Addressed and resolved several visual bugs to enhance the user interface. This includes fixes for minor display issues that were affecting the visual consistency and user experience.
New Features
- Dynamic ML Model Triggering for Savings Projections
- The application now triggers different machine learning models for savings projections based on a 25-33% increase or decrease in spend and usage. This enhancement allows for more accurate and adaptive savings forecasts that better reflect recent changes in case of large spikes or dips in usage while still considering historical data.
We are committed to continuously improving our application and appreciate your feedback.
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