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.
live forecast
Enhancing forecast accuracy: Leveraging PMI’s auto forecasts
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...
Ensuring Up-to-Date Data in PMI Predictions
Understanding when and how PMI prediction data refreshes is key to maintaining accuracy and trust in the system. Here's a brief guide: Data Refresh Cycle: PMI predictions are typically updated automatically at regular intervals. Daily refreshes handle short-term...
Navigating PMI Prediction Algorithm Accuracy
Having trouble with the PMI prediction algorithm? Follow these streamlined steps to identify and fix data-related issues: Verify Import Status: Begin by checking PMI's import status page to ensure data is being correctly updated. Any import problems will be flagged...

