AIssisted™ Planning Release Notes

See AIssisted™ Planning Overview, for more information.

  • Better visibility for daily forecasts: daily data is now displayed graphically in the Time Series Results Report and the View Source Report. This provides a clearer view of historical and predicted values, making it easier to review and validate daily forecasts.

  • More consistent Time Series experience: the All Results page in the Time Series Wizard now handles Daily and Monthly selections more consistently, creating a smoother and more intuitive navigation experience throughout the forecasting process.

  • Improved demo data for Classification models: the sample datasets used in the Classification Wizard have been updated, including Telco Customer Churn and Customer Scoring examples. These updates provide more realistic demonstrations and improved example results when exploring classification use cases.

  • More accurate date range validation: an issue in the Time Series Wizard where the available data check could incorrectly report that there was insufficient data for the selected date range has now been fixed. This was particularly an issue with daily data. Date range validation now more accurately reflects the data available for forecasting, helping you proceed with greater confidence.

  • Additional improvements: we've also addressed a number of smaller issues across the AI Wizards. For a complete list of fixes, please refer to the changelog.

  • Wizard settings are now preserved: Manual settings are no longer overwritten when opening scenarios in the Time Series Prediction and Data Preparation Wizards. This helps you maintain your configured options and avoid unnecessary rework.

  • Updated sample data for learning and testing: Example databases now include data through 2026, giving you more up-to-date sample datasets for exploring forecasting and planning scenarios.

  • Improved consistency in Driver-Based Prediction: Algorithm names in the Driver-Based Prediction Wizard have been aligned with the product documentation, making it easier to identify and select the right forecasting method.

  • Smoother setup for custom forecasting logic: Improved stability when using new Time Series or Driver‑Based custom algorithm setups.

  • Clearer forecast result previews: Fixed issue when expanding daily time series results with short monthly forecast windows.

  • Manual adjustments stay intact: Time Series Wizard reports now respect and retain existing Manual Settings, so planner overrides are no longer unintentionally overwritten.

  • Faster scenario setup: Performance improvements in Time Series Prediction setup.

  • More control over how you prepare data: Easily adjust how many time series are sent into the Data Preparation Wizard.

  • More reliable outlier handling: Outlier detection is now more consistent.

  • Daily data is now included in the Time Series Prediction Results Preview Report.
  • Persistent algorithm selection in the Driver-Based Prediction.
  • Accurate KPI card calculations in the Time Series Prediction Results Preview Report.
  • Fixed bugs.
  • Persistent algorithm selection: Your chosen custom algorithms in Time Series Prediction are now automatically saved, eliminating the need to reconfigure settings each time.
  • Easier scenario comparison: You can now clearly differentiate versions for scenarios created in the Data Preparation Wizard, making it easier to compare outputs and track changes.
  • Smarter interpolation warnings: Improved warning handling ensures that you are alerted only when it matters, reducing confusion and improving accuracy.
  • Safer preview experience: The Data Preparation Wizard results preview page is now locked for safer viewing, allowing you to review outputs without accidental changes.
  • Fixed bugs.
  • Enhanced Time Series Wizard experience: Step-by-step video tutorials now guide users through the process, making it easier than ever to get started.
  • New Python extrapolation service support: The Data Preparation Wizard now supports extrapolation via Python, helping to generate more complete datasets for downstream analysis.
  • Improved demo database: Updated demo datasets offer clearer, more insightful visualizations of the Time Series Wizard results.
  • Fixed bugs.
  • The outlier and interpolation algorithms from Python are now included in the Data Preparation Wizard with updated tooltips.
  • Improved the UI experience for the Time Series and Data Preparation Wizards.
  • Solved language issue with other English locales for the Time Series Algorithm Ranking Table.
  • Fixed bugs.
  • Optimized navigation and usability with a guided, step-by-step flow to streamline setup.
  • Faster scenario setup with smart automatically applied default values and relevant context-based information.
  • Cleaner interface and quicker access to key actions.
  • Improved results visualization and KPI insights for more agile, informed decisions.
  • Redesigned to reflect users' feedback and provide a more intuitive experience.
  • Bug fix for splashing behavior that resulted in large cubes and splashing errors.
  • Improved pre-processing and services performance in the Time Series Prediction Wizard with parallelization and zero filter removal.
  • Added more meaningful error message and bug fixes in the Data Preparation Wizard.
  • Fixed various bugs, including the variable setting bug in the Time Series Prediction Wizard that resulted in the Error 400.
  • Increased performance in Time Series Prediction Wizard for time savings of almost 50%.
  • Added more realistic demo scenarios with updated databases containing data throughout 2025.
  • Increased performance in the AIScheduler function, ensuring scheduled jobs are only run once.
  • Improved the prompt for scrolling through the settings on the Time Series Overview page.
  • Fixed bugs.
  • Improved visualization of the training accuracy for the Time Series and Driver-Based Prediction.
  • Fixed bugs.
  • Added support for localized versions of English.
  • Updated all sample databases.
  • Fixed bugs.
  • Improved the view for the Detailed Results report in the Classification Wizard.
  • Fixed bugs.
  • Improved efficiency and transparency in the Source Preview report and in the Accuracy reports of the Driver-Based Prediction and the Time Series.
  • Updated the Driver Analysis result pages and the Classification Wizard result page to show selected elements.
  • Fixed bugs.
 
  • Improved efficiency and transparency for the Time Series and Driver-Based Prediction reports.
  • Improved prediction results for the Time Series and Driver-Based Prediction Wizards due to updated database scripts.
  • Improved the error messages with status icons for all Overview pages of the wizards.
  • Fixed bugs.
  • Enhanced the analysis reliability.
  • Enhanced the Data Preparation stability.
  • Improved efficiency and transparency for the Data Preparation and Driver Analysis reports.
  • Fixed bugs.
  • Improved the demo scenarios.
  • Enhanced population of accuracy on base level predictions for the Driver-Based Prediction.
  • Updated the AI Transform sample job for demo data.
  • Fixed bugs.
  • Updated the results reports for the Time Series and Driver-Based Prediction Wizards.
  • Fixed bugs.
  • Improved performance in the Time Series Wizard.
  • Added a video for user guidance when searching for detailed results on the results page of the Classification Wizard.
  • Improved the warnings in the Data Preparation Wizards for Trend & Seasonality functions.
  • Fixed bugs.

Updated September 14, 2026