Using your feedback, We have completely revamped the RICOH Spaces Insight tab to provide you with a handy panel of graphs and tables. Have you ever wondered what's your employees' favourite parking? Do you need more parking? Find out today. Parking Insights is now available for you to explore!

Please note that whenever you change the filters you must select "Update" for the report to refresh.

Trend graphs will present differently based on if you’ve chosen to filter by a whole year (the graph will show all 12 months at an appropriate level) vs if you've filtered by a week (whereby it may spread the data out and show you each individual day).

Most chart types can be hovered over to see extra information on the data.

On charts where there are multiple layers of data labeled, for example, "floors", you can click on each label to turn it on or off, showing only the data you are interested in for that occasion.

Utilisation takes into account the time your parking is available for, and what percentage of that time it has been booked for. For example, if a parking is available 8 hours in a day, and has been booked for the day, it is 100% utilised.

Comparison to previous period

This metric provides insight into the percentage in which the utilisation has grown or declined. For example, if it was 10% last month and its 15% this month, it has grown by 50% vs previous period (not 5%)

The total amount of bookings which have been made during your selected period.

This metric provides you with an average number of parking spaces which are bookable.

This metric tells you what percentage of your overall parking availability has been used in ANY capacity, not taking "time booked" into account. For example, if you have 10 parking, and 5 have been booked all day, that is still 50% overall parking usage.

This chart lists all your employees, the number of bookings they have made during the selected period as well as the number ofparking bookings that have been cancelled. Using those two statistics, the reports give you a cancellation rate percentage (%).

This chart is similar to the Employee Booking Stats chart but provides you with stats by groups ( and not employees).

This graph displays the busiest days for your parking. In this example, Wednesday is the busiest day followed by Thursday.

This graph displays the top 10 of your most popular parking spaces(most bookings).

This graph helps you understand when are your users booking parking spaces.

This graph shows you the most popular amenities. It gives you an indication of which amenities you might need more or less of.

In this graph, each one of your floors has been attributed a colour. The most utilised floors will have the highest peaks.

The cancellation rate takes into account the total amount of bookings made which have been cancelled.

This number gives you the number of bookings that have been cancelled.

This number gives you an average of the number of cancellations per day. Here, there are 62 cancellations per day on average.

How many of the bookings which get cancelled go on to be re-utilised by the business? How much of an impact is cancellations therefore having on your utilisation, and is it a key problem to solve for you? For example, if this % is low, it means that people are cancelling with enough time, or that your spaces are in demand enough for them to go on to be utilised anyway.

In this graph, you can easily see when the bookings are cancelled. In this example, we can see that 49% of bookings are cancelled on the day.

This graph shows the reason for the cancellation. In this example, all bookings that have been cancelled have been cancelled by the user but it could also be by auto-cancellations policy.

In this graph, you can see the cancellation rate trend. Are there periods when more cancellations happen?

Are some parking spaces more often cancelled than others? This graph will help you answer this question.

This large table of data provides all the key areas you might want to know on a per booking basis. This provides the option for you to download this data into CSV format by hovering over the tile, using the three dots and selecting "download data".