Less Waste, More Profits
This dashboard breaks down customer behavior, prep patterns, and pricing strategy from a real chicken rice stall using simple daily sales data.
📈 Daily Sales of Chicken Rice and Barley
Fluctuations in daily sales revealed the need for more accurate forecasting of peak lunch demand.
💸 Customer Spending Distribution
Most customers spent between RM16 and RM30. This insight helped bundle meals more effectively around RM25–30.
🧾 Average Quantity Sold: Weekday vs Weekend
Customer buying behavior was remarkably consistent across weekdays and weekends — helping standardize prep levels.
📊 Total Revenue: Weekday vs Weekend
Weekdays brought in higher total sales volume, guiding staffing and stock prep for the workweek rush.
📅 Daily Fluctuation in Overall Demand
Combined demand for drinks and meals varied widely — reinforcing the importance of weekday adjustments and Friday buffers.
📆 Simulated Typical Week
This simple model illustrates what a typical week might look like — helpful for visualizing expected flow before adjusting prep levels.
