Key Points to Remember: Budget & Forecast Module changes totals on a monthly basis only. Flash Report allows you to edit historical values. Live Forecast allows you to edit future values (including today and tomorrow) by switching to “manual.” Steps to edit revenue for historical dates (Past) Open the Flash Report. Expand or select the past date you want to edit; click the plus icon....
The PMI system integrates Live forecast accuracy into its PMI Index calculations. Although Live forecast accuracy contributes to the PMI Index, it is not explicitly shown as a separate report in PowerBI.
The difference in hours comes down to the type of forecast being displayed: Management Forecast (Table): This is the forecast set manually by management, based on their expectations and strategic goals. It reflects planned hours to meet operational needs. SMART Forecast (Yellow Bar in Graph): Generated by PMI’s SMART system, this forecast uses machine learning and historical data to provide a...
It is not possible to stop Machine Learning (ML) from including an existing segment in the driver-based calculation. If the ML Live Forecast doesn't align with your expectations, you have the option to manually override it or construct a custom driver to make necessary adjustments.
If there is a recalculation of the PMI Prediction due to season generation, new file import, or manual calculation, it takes time for the ML algorithms to fully update. The Live forecast values will only update once all dates in the viewed period are completely updated. Thus, there might be a delay, and the Live forecast might not immediately match the PMI Prediction.
Legacy PMI System Issue: Pickup column doesn’t “gray out” when importing Live forecasts. Cause: This is the design of the legacy PMI system. Effect: Manual changes in the pickup column will be overwritten with each import. New PMI System Preserving Manual Changes: Enable Editing: Click the robot icon (if auto-forecasting is enabled) or the import icon next to the day you want to edit. Edit...
Recommended hours for similar revenue on different dates can vary due to a combination of factors including the monthly productivity forecast, historical staffing patterns, and other factors recognized by the machine learning capabilities of the SMART forecast.
Discrepancies in the imported Room Night live forecast can impact the generation of live forecasts for arrivals, departures, and stayovers. To address this, it's recommended to utilize PMI's auto forecasts. These forecasts are typically more accurate as they rely on machine learning and historical data. Ensuring the accuracy of the imported Room Night live forecast is crucial, as it directly...