Customer booking
Find a time and book it against available resources.
- Bookings are agreed manually and conflicts are discovered after confirmation.
Example paths: the agreed action or human review. This diagram does not run on your live data.
- 01Input: Service · calendars.
- 02Service rules define duration and resource; calendars show availability, the customer confirms a slot, then a booking and invitation are created.
- 03Output to verify: Customer invitation.
- 04Availability is checked again before creation. Occupied slots, ambiguous times and cancellations go to reception; duplicates are not created.
- ✓The booking matches the service, time zone and availability; rescheduling updates the existing booking.
- ✓We check repeated processing and connection failures using agreed examples.
An illustration of the logic, not a customer case. Connections and results are agreed before implementation.
What inputs do we need?
We need an example of “Service · calendars”, processing rules and an owner for “Customer invitation”. Access is requested after connections are agreed.
What happens if data is missing or an error occurs?
We check “Slot confirmed?”. Availability is checked again before creation. Occupied slots, ambiguous times and cancellations go to reception; duplicates are not created.
How is the result accepted?
The booking matches the service, time zone and availability; rescheduling updates the existing booking.
How long does implementation take?
Scope, price and timing are defined after checking systems, access and exceptions. This page describes a possible workflow, not a ready connection to your data.