Retailers using Oracle Retail Demand Forecast (RDF) during the COVID-19 crisis faced challenges due to erratic sales patterns. The white paper provides strategies to manage these anomalies, such as adjusting sales history using RDF's outlier detection, switching to simpler forecasting methods, and handling store closures by setting forecast adjustments to zero. Post-crisis, retailers are advised to smooth abnormal demand periods and carefully monitor forecasts as the system auto-corrects over time. These adjustments help maintain accuracy and adapt to the fluctuating retail environment.

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