Reservations Trend
This page shows the trend of reservations for the selected time frame.
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This page shows the trend of reservations for the selected time frame.
Last updated
Was this helpful?
It shows the reservation trend for the selected time frame. The pink line represents the actual trend, while the red line shows the linear trend.
Identifies peak booking periods to optimize resource allocation.
Detects seasonal or recurring trends in reservations.
Helps forecast future booking demand based on historical patterns.
It shows the reservation trend for the selected time frame, categorized by resource type. It displays the reservation trend line for each resource type.
Compare booking trends across different resource types.
Identify peak and low-demand periods for different resource categories.
Optimize resource allocation based on trends and usage patterns.
It shows the reservation trend for the selected time frame, categorized by different times of the day. The trend line displays the total number of reservations, while the stacked bar chart breaks it down into morning, afternoon, and all-day reservations.
Identify peak reservation times (e.g., morning vs. afternoon trends).
Optimize room and resource availability based on time-of-day demand.
Understand how users prefer to schedule their bookings.
The chart displays the total number of reservations, including scheduled and instant reservations. Scheduled reservations are made in advance, while instant reservations are ad hoc or unscheduled reservations.
Identify trends in instant vs. scheduled reservations over time.
Optimize resource availability based on booking behaviors.
Understand how different resource types are used (e.g., desks may have more instant bookings, while meeting rooms may be pre-booked).
The chart displays the total number of reservations, including scheduled and instant reservations. Scheduled reservations are made in advance, while instant reservations are ad hoc or unscheduled reservations. It is linked to a sensor, which identifies reservations as no-shows if the reserved resource is not detected.
Identify patterns in no-shows to optimize resource management.
Reduce wasted bookings and improve workspace efficiency.
Compare no-show rates across different resource types (e.g., meeting rooms vs. desks).
The chart displays the trend of out-of-hours meeting counts. It shows the trend of meetings scheduled outside of working hours. If the trend line appears as shown in the chart below, it means there are no out-of-hours room reservations.
Monitor policy compliance for outside working hours resource usage.
Identify the demand for extended working hours.
The chart displays the trend of meeting room attendees. This data is sourced from the calendar, reflecting the number of attendees invited when booking a meeting room. It does not come from sensors.
Identify Meeting Trends → Are more or fewer attendees being invited over time?
Optimize Room Sizing → Ensure room capacity aligns with actual booking trends.
