Track sales performance by hour to identify peak times and slow periods.
Monitor which products and categories are selling the most at different times of the day.
Compare hourly trends between branches to optimize staffing, promotions, or menu offerings.
Common Use Cases
Business Question
Where to Find It
Where can I see created orders by hour?
Created At tab (default)
Where can I see closed orders by hour?
Closed At tab
How can I view overall hourly menu performance for a specific time period?
Use Business Day filter and select desired date range
How can I compare hourly sales between branches?
Use Branch Name filter
How can I see which products sell the most at certain hours?
Apply Product Name or Category Name filter on either tab
Keywords (for search functionality)
💡hourly sales, hourly performance, menu analysis, created orders, closed orders, product by hour, sales by hour, branch comparison, category sales, order timing
Tab / Section Overview
Tab Name
Description
Example
Created At
Shows the hour when each order was created, with sales and quantity breakdowns
Identify busiest ordering hours during a promotion
Closed At
Shows the hour when each order was closed, with sales and quantity breakdowns
Track when transactions are finalized to improve service time analysis
Available Filters
Filter Name
Description
Notes
Business Day
Filter data by specific dates
Default value is "Last Month"
Branch Name
Filter data by specific branches
Examples: Abha, Abu Dhabi, Aden
Product Name
Filter data by specific product
Examples: BBQ Chicken Pizza, BBQ Chicken Tenders
Category Name
Filter data by product category
Helps compare menu group performance
Order Tag Name
Filter by external ordering platform
Examples: Hunger Station, Uber Eats, Deliveroo
Order Source Name
Filter by order origin
Examples: API, Cashier, Call Center
Order Type Name
Filter by service type
Examples: Delivery, Dine In, Drive Thru, Pickup
Metrics & Definitions
Metric
Definition
Notes
Net Sales
Total sales amount
Useful for identifying peak sales.
Products by Quantity
Number of products sold.
Helps track demand patterns for specific menu items.