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Relnivo

Salon, spa, or clinic

Beauty and wellness

An after-hours booking enquiry answered, qualified, and turned into a confirmed appointment.

Illustrative scenario

All demo scenarios

Important:

These are illustrative scenarios

An illustrative scenario written to show how a workflow would run. It is not a description of an existing customer.

The situation

A salon takes most of its bookings through Instagram and WhatsApp. The messages arrive constantly, but the people who can answer them are with clients all day. In practice, messages get answered in a burst at closing time — by which point a customer who wrote at 14:00 has often booked somewhere else. Evening and Sunday messages wait until the next working morning.

How the enquiry runs

One customer, from first message to a confirmed appointment, with no staff member involved until the point where one is genuinely needed.

  1. 1Customer

    A message arrives at 21:40

    Sent through Instagram, in Turkish, asking about availability and price for a specific treatment.

    Merhaba, cumartesi için saç boyası randevunuz var mı? Fiyatı ne kadar?

  2. 2Agent

    The agent answers immediately

    It replies in Turkish, gives the published price range for that treatment, and explains that the exact price depends on hair length and current colour — because that is what the salon told us to say.

  3. 3Agent

    It asks the qualifying questions

    Hair length, whether the customer has had colour applied recently, and preferred day and time. These are the three answers the salon needs to allocate the right stylist and the right duration.

  4. 4System

    Availability is checked

    The agent reads the salon's calendar and offers the slots that are genuinely free for a treatment of that duration.

  5. 5Customer

    A slot is chosen

    The customer picks Saturday at 13:00 from the offered options.

  6. 6System

    The appointment is created and confirmed

    The booking is written to the calendar, a confirmation message goes out on the same channel, and a reminder is scheduled for the day before.

  7. 7Agent

    An unexpected question triggers handover

    The customer then asks whether the salon can correct a colour treatment done badly elsewhere. This is a judgement call about work the salon may not want to take on, so it matches a handover rule: the agent says a colleague will confirm in the morning, and flags the conversation.

  8. 8Staff

    A person picks it up at 09:00

    The stylist opens a flagged conversation with the full message history and the booking already made, and replies to the one question that actually needed them.

What ends up recorded

The salon starts the day with a structured record instead of an unread inbox.

  • Name and Instagram handle
  • Treatment requested
  • Hair length and colour history
  • Preferred and booked slot
  • Channel and time of first contact
  • Full conversation transcript
  • Flag: needs a stylist's judgement

Where the person comes in

The agent books, answers published questions, and confirms. It does not commit the salon to corrective work, quote a non-standard price, or handle a complaint. Those three conditions are set during design and are the only reasons it stops.

What this scenario depends on

  • A business account on each messaging platform, connected with admin permission
  • A calendar or booking system the agent can read and write to
  • Published price ranges and treatment durations
  • Agreement on which questions must reach a person
  • Messaging platform and AI usage costs, billed to the salon directly

Other scenarios

The same mechanics, in a different sector.

  • Dental practice

    A new-patient enquiry triaged and booked, with anything clinical routed to a qualified person.

    Read more

  • Local services

    A job enquiry qualified on location, scope, and timing before it reaches the person on site.

    Read more

  • E-commerce

    Pre-purchase questions answered from live product data, with order issues routed to a person.

    Read more