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Provisional Forecast
Displaying a basic forecast generated from historical data. For the advanced prediction, please run the backend Python engine.
This section presents the 15-day outlook for projected sales and customer traffic, providing a high-level overview of expected performance.
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Explore the underlying drivers of the daily forecast. This waterfall chart breaks down how factors like the day of the week, seasonality, and holidays contribute to the final customer projection.
Select a date to see a summary of its forecast drivers.
This section measures the model's historical accuracy by comparing past day-ahead forecasts against actual results. This helps build trust and identify areas for model improvement.
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Plot daily shifts and track leaves for managers. Planned leaves from the "HL & VL Schedule" will appear here with a dashed border; click to confirm them.
This tab shows leaves that have been confirmed in the Weekly Schedule.
Add new daily records and future activities to improve forecast accuracy.
Add, browse, and manage all upcoming events and promotions.
Browse and manage past daily records.
View and manage user access levels. New users should be created securely in the Firebase Console.
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