The work your company repeats every day, handled by Velros AI instead of people Get a free assessment →

Booking and consultation intake

With preferred times, staff availability, and change requests in one place, the calendar sorts itself. Only the clashes reach you.

Get an assessment
No-show rate Booking confirmation lead time Slot fill rate (minimizing empty slots)

Bookings pile in after hours and late at night, when a person cannot respond, and by the next day the slot is already double-booked or the customer went elsewhere. Preferred time, party size, service type, and staff preference arrive differently in every message, so just copying them into a calendar is itself work, and running confirmations and reminders by hand and dropping one leads straight to a no-show. A no-show is a direct loss in a service business.

An inquiry like this, handled like this.

We gather the work as it actually arrives, and record what each step is judged against.

  1. Take in and normalize the request

    Extract the preferred time (with alternates), party size, service type, and staff preference and structure it.

    Judgment Expand range requests like any day or after the evening into candidate slots. Use the flexibility the customer gave to raise the odds of a confirmation.
  2. Check availability

    Compare the requested time against real open slots and staff schedules to see whether it can be confirmed or needs an alternative.

    Judgment Judge by capacity, concurrent limit, and staff conflicts. On a conflict, do not auto-commit, propose an alternative.
  3. Assign staff

    Assign staff by the named request, service expertise, and schedule, and build a backup when they are unavailable.

    Judgment Put the customer's named preference first, and when it is not possible, lay out an equivalent substitute or another time to propose.
  4. Confirm and share the details

    Draft the confirmed time, place, staff, what to bring, and cancellation policy.

    Judgment Confirm only after the slot is actually held. Do not create a double-booking with a tentative commit.
  5. Reminders and no-show prevention

    Set pre-appointment reminders and a confirm-your-visit request on the booking card to send automatically.

    Judgment Place the reminder timing at the windows where no-shows cluster (day before, day of). Reduce no-shows on measured evidence.

Overlapping bookings, we do not auto-commit

We settle the exceptions that actually come up before they do. When a rule doesn't fit, we don't force it through. It goes to a person, with the evidence.

Exception Over capacity or a double booking

Block the auto-commit and propose the two or three nearest alternative slots, converting to a waitlist if needed.

Exception The named staff is unavailable

Instead of assigning on your own, present a choice between an equivalent substitute and the same person at another time for the customer to pick.

Exception A last-minute cancel or change

Explain the cancellation policy (penalty, cutoff) per your policy, and auto-reoffer the freed slot to the waitlist.

Confirm, cancel, and reassign are done by a person against the calendar

Anything touching money, contracts, personal data, or the brand is drafted and no further. It sends only after a person approves.

  • Sending the final booking confirmation

    There is a double-booking and over-capacity risk, so a person confirms against the calendar.

  • Changing or reassigning the named staff

    It bears on the customer relationship and fairness, so a person judges it.

  • Applying the cancellation, penalty, or refund policy

    It is a cost and dispute judgment, so it is a person's call.

  • Special over-capacity accommodation (opening extra)

    A person vouches for the operational headroom.

  • Priority assignment for a VIP or group booking

    The relationship context is known to a person.

How you know it worked

Did we cut no-shows and fill the empty slots

No-show rate

A systematic review of medical-appointment studies reports a weighted-average 34% relative drop in no-shows after reminders (systematic review, medical appointments)

Measure the no-show rate before and after the reminder flow for each customer. There is industry variance, roughly 15% for salons, 20% for fitness, 12% for dental.

Booking confirmation lead time

The goal is to answer late-night and after-hours intake immediately with candidate slots to prevent drop-off.

Slot fill rate (minimizing empty slots)

Reoffer cancellations to the waitlist to fill the gaps.

Rule

Booking and consultation intake collects personal information such as names and contact details, so you need a lawful basis and a notice at collection under the applicable privacy law (the CCPA and CPRA for US customers, the GDPR for EU or UK customers). Use the contact details you collect for the booking only, within the purpose the customer gave them for.

There is less that a person has to hold on to.

Once the scattered checks and repeat replies are drafted and sorted, your staff can spend the day on review and exceptions, and you look only at the decisions that matter.

Get an assessment
Today

Checks pile up on a person.

Booking and consultation requests come in over several channels, so assigning and confirming them runs late.

With Velros running it

The work arrives ready to go.

It gathers the requests into one flow and prepares a draft sort and assignment, so a quick check confirms them.

First-choice time assignment rate Requested-staffer match rate No-show rate after reminder

What people ask before they hand this over

The things people actually check first about Booking and consultation intake.

We miss booking inquiries at night. Do they get captured automatically?

Even after hours we reply immediately with candidate slots for the requested time and take it in tentatively. The actual confirmation is approved by a person against the calendar at the next open.

How do you cut no-shows?

We set day-before and day-of reminders automatically on the booking card and ask for a visit confirmation. The actual change in no-shows is measured after rollout.

What if the same time overlaps?

We do not auto-commit. We propose nearby alternative slots or move it to the waitlist, and a person makes the final confirmation after checking the calendar.

What to sort out next

We start with the work that keeps a person tied up.

Book a call