Across industries, appointment demand often exceeds capacity, creating long wait times, customer frustration, and administrative strain. In fact, nearly 60% of customers say that long waits are the most frustrating part of any service experience.
ACF Technologies’ new Waitlisted Appointment Journey is designed to balance this equation through a fair, automated approach to managing overflow demand.
Instead of repeatedly checking for open slots, customers can join a first-in, first-out (FIFO) queue for a specific service, location, and appointment type. They choose their preferred days, times, and desired notice period, and the system automatically books them into an available appointment that matches their criteria.
Once added, users receive:
An automatic appointment notification when a slot opens
A link to reschedule if the assigned time is not ideal
This automated flow ensures appointments are distributed fairly, keeps users informed, and removes the manual effort often required to manage large waitlists.
The Waitlisted Appointment Journey integrates seamlessly with existing Q-Apps and can be customized to reflect any organization’s workflow. Appointments may be assigned nightly or triggered instantly when another customer cancels or reschedules.
It also supports confirmation flows that automatically release unconfirmed bookings to the next person in line, ensuring no appointment slot goes unused.
For customers already using Q-Flow and Q-Apps, implementation typically takes 20–40 hours of development and configuration time, making it a high-value enhancement for any high-demand scheduling environment.
By blending automation with transparency, the Waitlisted Appointment Journey turns limited appointment capacity into an opportunity for stronger relationships and smoother operations. Organizations can eliminate the frustration of unavailable schedules, ensure every time slot is used efficiently, and give customers the assurance that their turn will come without waiting in line or checking back repeatedly. Contact us to learn more.