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Version: 1.0.5

Statistics

The Statistics screen gives you a clear view of how your store is performing. It's organized as independent cards, each with its own date range and its own export to CSV button.

How each card works​

In the bottom corner of every chart you'll find a menu with:

  • Date filter — a selector with From and To to scope only that card.
  • Export CSV — download the data of that card to open in Excel or Google Sheets.

Each card is independent: you can compare, for instance, Peak hours of last week with Best-selling products this month without one filter affecting the other.

Sales by day of week​

The main card shows:

  • Total sales for the period (amount in your currency).
  • Total orders for the period.
  • An area chart with sales distributed by day of the week (Monday to Sunday).

Useful for spotting which day concentrates more revenue and planning promotions or staff accordingly.

Best-selling products​

A ranking of the products with the most units sold during the selected period. Helps you:

  • Know what to always keep in stock.
  • Spot which products are worth promoting.
  • Identify what isn't moving.

Peak sales hours​

A chart showing at what time of day your sales cluster. Useful to:

  • Reinforce the team during the busiest hours.
  • Schedule promotions during quiet hours.

Pickup vs Delivery​

Split of orders between those the customer picks up in store and those that are delivered. Helps you balance operations and plan logistics.

Cancellation rate​

Distribution of orders by status: Completed, Processing, Cancelled, Pending, On hold, Refunded and Failed. A high cancellation rate may point to stock issues, payment problems or delivery delays.

Export the data​

Each card has its own Export to CSV button. Each file contains exactly the data visible according to the date filter applied to that card.

A weekly habit

Get into the habit of reviewing your statistics once a week. You'll spot trends much sooner than by looking at individual orders.

Compare periods

To compare two periods, export the same CSV with a different range each time and open both files as separate sheets in Excel.