Create a demand planning application that helps small businesses understand how sales patterns change across weekdays, holidays, local events, weather conditions, and promotional periods.
Allow users to import dated sales records and optionally add manually verified events, operating hours, stockouts, promotions, and closures.
Build:
A calendar heatmap of historical sales.
Weekday and seasonal pattern comparisons.
A detector for unusual demand spikes and drops.
A forecast workspace with configurable assumptions.
An event comparison tool for examining sales around selected dates.
An inventory and staffing planning assistant based on expected demand ranges.
A confidence indicator reflecting data coverage and forecast uncertainty.
A report explaining which observations support each planning suggestion.
Do not invent local event data or claim that an event caused a sales change without supporting evidence. Distinguish historical observations from forecasts and allow users to exclude closures or stockouts from comparisons. Include a fictional café dataset and downloadable planning summaries.
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