G Customer count and transaction evaluations
In this section you have the opportunity to view the individual reports on the topic Number of customers for better analyses.
Below you can see in the table which information can be viewed in the individual reports.
| Customer count and transaction evaluations | Turno. | operation | operator | station | profit center | Groups | Items | Cancellations | Loss | Rab. | VAT | Use of goods | Num. kinds | In-Out-Cash | Comparison | Tip | time |
| Average by profit center | yes | yes | |||||||||||||||
| Average by operator ranking | yes | yes | |||||||||||||||
| Average by profit center and Categories | yes | yes | |||||||||||||||
| Average by operator and material groups | yes | yes | |||||||||||||||
| Average by profit center with usage factor | yes | yes | |||||||||||||||
| Time Period Report | yes | yes | yes |
Please also see the Point of sale report by number of customers and shifts Area A.
Best practice: Targeted increase in operator turnover per guest
Many catering establishments are regularly fully booked in the evening or at lunchtime, for example - and yet sales can often still be increased significantly. Especially if you already pay your service staff commission and success has so far only been measured in terms of total sales per operator.
Further topics: Commissions for operators
Why this view falls short
If you only look at operator turnover, you unconsciously encourage a dynamic in which employees want to serve as many guests as possible - regardless of the turnover per guest. Although this leads to high individual sales, it does not necessarily lead to a better overall result.
With Hypersoft you have the possibility to analyse the theoretical turnover per guest. This report - as well as the customer count and transaction analyses (Group G) - shows whether each guest is actually contributing the expected turnover.
Typical scenario from practice
You analyse the theoretical turnover per guest for three months and determine:
-
Operator A regularly achieves the highest total turnover - but only because he serves a particularly large number of tables at the same time.
-
Operators B and C advise their guests more intensively and sell additional products in a targeted manner - their turnover per guest is significantly higher, although the total turnover is lower.
This shows that pure operator turnover is not a sufficient performance indicator.
How to use the findings correctly
✅ Define new performance indicator:
Determine the average revenue per guest and use this value as an additional KPI.
✅ Reward performance-orientated:
Reward operators who exceed this average. In this way, you promote quality over quantity.
✅ Targeted training:
Train employees with low turnover per guest in upselling and situational advice.
✅ Customise the commission system:
Change your commission model so that additional sales are weighted more heavily.
✅ Check the long-term effect:
After a few weeks, you will recognise in the Hypersoft evaluations that the total turnover is increasing - without the productivity per employee hour deteriorating. In shift planning, for example, Jenny can even schedule an additional employee without impacting the key figures.
Further helpful reports
Depending on your business objectives, the following Hypersoft reports will provide you with particular support:
Average by operator and material groups: shows who successfully makes additional sales.
Theoretical turnover per guest: ideal for monitoring the success of upselling measures.
Customer count and transaction analyses (Group G): provide depth of detail for operational decisions.
Back to the overarching topic: Handling the Report Manager