Navigating PMI Prediction Algorithm Accuracy

Hamburg-based RIMC Hotels & Resorts implements d2o's Productivity Management tool PMI in 16 of its hotels

Written by Geson Perry

April 10, 2024

April 10, 2024

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 here.
  • Review Data Integrity: Use the drill-down feature to review imported data and verify its accuracy against your expectations.
  • Identify Outliers: Look for any anomalies in your data. Outliers can significantly impact automated forecasts, potentially skewing predictions.
  • Engage PMI Support: If after these checks the predictions still seem inaccurate, reach out to PMI support for deeper insights and potential adjustments for better accuracy.

The PMI algorithm is designed to refine its forecasts continually. Variations are expected, particularly with new booking patterns or changes in cancellation rates. However, persistent discrepancies need attention to ensure reliable predictions.

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