Updated January 04, 2026
Booking by Date/Time
Booking by Date/Time reports provide detailed analysis of bookings organized by specific dates and times, helping you identify peak periods, plan capacity, and optimize operations based on temporal patterns.
What are Booking by Date/Time Reports?
Booking by Date/Time reports provide:
- Bookings organized by specific dates
- Bookings organized by time slots
- Peak booking periods identification
- Time-based booking patterns
- Date-wise booking trends
- Capacity planning insights
Why Booking by Date/Time Reports are Important
These reports help you:
- Identify peak booking periods
- Plan capacity and staffing
- Optimize table availability
- Understand booking patterns
- Make data-driven scheduling decisions
- Identify slow periods for promotions
- Maximize revenue during peak times
- Improve operational efficiency
Accessing Booking by Date/Time Reports
To view Booking by Date/Time reports:
- Navigate to Reports → Booking Reports
- Select Booking by Date/Time or Time-based Booking Reports
- Set the date range for analysis
- Choose time granularity (hourly, daily, weekly, monthly)
- Apply filters if needed
- Generate the report
Booking by Date Report Information
The report typically displays for each date:
- Date: Specific date
- Day of Week: Monday, Tuesday, etc.
- Total Bookings: Number of bookings for the date
- Confirmed Bookings: Number of confirmed reservations
- Cancelled Bookings: Number of cancelled reservations
- Total Revenue: Revenue generated on the date
- Average Party Size: Average guests per booking
- Peak Hours: Busiest time periods
- Table Utilization: Percentage of tables booked
Booking by Time Report Information
The report typically displays for each time slot:
- Time Slot: Specific hour or time range
- Total Bookings: Number of bookings in the time slot
- Available Tables: Tables available during the time
- Booked Tables: Tables booked during the time
- Utilization Rate: Percentage of tables booked
- Total Revenue: Revenue generated in the time slot
- Average Booking Duration: Average length of bookings
- Peak Status: Whether it's a peak period
Filtering Booking by Date/Time Reports
You can filter reports by:
- Date Range: Specific dates or date ranges
- Time Range: Specific time periods
- Day of Week: Filter by specific days
- Table: Filter by specific tables
- Booking Status: Confirmed, cancelled, completed
- Location/Floor: Filter by restaurant floor
- Table Type: Filter by table types
Daily Booking Analysis
Day-by-day booking overview:
- Daily Totals: Bookings and revenue per day
- Day Comparison: Compare different days
- Weekday vs. Weekend: Compare patterns
- Holiday Analysis: Special day performance
- Seasonal Trends: Patterns across seasons
Hourly Booking Analysis
Hour-by-hour booking patterns:
- Peak Hours: Busiest time periods
- Off-Peak Hours: Slower periods
- Breakfast Hours: Morning booking patterns
- Lunch Hours: Midday booking patterns
- Dinner Hours: Evening booking patterns
- Late Night: Night booking patterns
Weekly Patterns
Day-of-week analysis:
- Monday Patterns: Monday booking trends
- Weekday Patterns: Monday-Friday trends
- Weekend Patterns: Saturday-Sunday trends
- Busiest Days: Highest booking days
- Slowest Days: Lowest booking days
Monthly Patterns
Month-by-month analysis:
- Monthly Totals: Bookings and revenue per month
- Seasonal Trends: Patterns across seasons
- Month-over-Month Growth: Growth trends
- Year-over-Year Comparison: Annual patterns
Peak Period Identification
Identify peak booking periods:
- Peak Dates: Dates with highest bookings
- Peak Times: Time slots with highest bookings
- Peak Days: Days of week with highest bookings
- Peak Seasons: Seasons with highest bookings
- Plan capacity and staffing for peaks
- Optimize operations during peak periods
Off-Peak Period Analysis
Identify slow booking periods:
- Slow Dates: Dates with lowest bookings
- Slow Times: Time slots with lowest bookings
- Slow Days: Days of week with lowest bookings
- Plan promotional activities for off-peak
- Optimize operations during slow periods
Using Booking by Date/Time for Decision Making
Capacity Planning
Use reports to:
- Plan table availability by time
- Optimize seating for peak periods
- Manage capacity during busy times
- Maximize utilization during slow periods
Staffing Management
Use reports to:
- Schedule staff based on booking patterns
- Allocate resources for peak periods
- Optimize staff during off-peak
- Plan shift schedules
Revenue Optimization
Use reports to:
- Maximize revenue during peak times
- Plan promotions for slow periods
- Optimize pricing strategies
- Improve overall revenue
Time-Based Trends
Track trends over time:
- Identify increasing or decreasing patterns
- Monitor seasonal variations
- Track growth or decline
- Forecast future booking patterns
Exporting Booking by Date/Time Reports
You can export reports:
- Export to Excel for detailed analysis
- Export to PDF for sharing with management
- Schedule automated time-based reports
- Share with restaurant team
Best Practices
- Review date/time reports regularly
- Monitor peak and off-peak patterns
- Use insights for capacity planning
- Plan staffing based on booking patterns
- Track trends over time
- Compare periods to identify changes
- Use data for operational optimization
- Document significant patterns or trends
Booking by Date/Time vs. Other Reports
Date/time reports complement other reports:
- Booking by Date/Time: Temporal analysis
- Booking Summary: Overall overview
- Booking by Customer: Customer-centric view
- Use date/time for operational planning
- Use other reports for comprehensive analysis
Need Help?
If you have issues with Booking by Date/Time reports:
- Ensure bookings have correct dates and times
- Verify time zones are correctly configured
- Check that date ranges are correctly selected
- Ensure proper access permissions
- Contact support if data seems incorrect
Related Articles
Learn more about:
- Booking Summary Report
- Booking by Customer
- Table Utilization Reports
- Operating Hours Setup
- Restaurant Performance Reports
Booking by Date/Time reports are essential for understanding temporal booking patterns and optimizing operations. Regular review helps plan capacity, staffing, and maximize revenue.