What a chatbot for a beauty salon needs to know
The bot answers from what you give it, so everything starts with the price list. Describe services so that someone coming for the first time, who does not know the treatment names on your menu, can tell them apart. Do the same with prices. If they depend on hair length or the scope of the treatment, say so plainly, because otherwise the bot may quote the lowest figure on the list as the final price of the visit, and you end up explaining the difference at the chair.
The second matter is time. For every service, note how much space it takes in the calendar, and decide which hours you offer through the website at all.
Last come the organisational things, such as directions or cancellation rules, which the bot will state exactly as you approve them. A question that needs judgement, for example whether a treatment makes sense on irritated skin, should come to you even if the client starts with “I just want to ask something”. The bot then collects contact details or passes the conversation to the panel, where you take it over with the whole history.
How a chatbot helps book salon appointments
CartBot has its own calendar. Once you set up services and working hours, the bot shows free slots in the conversation, the client picks one and leaves contact details, and when saving, the system checks once more that nobody took that hour a moment earlier. Two people will not end up in the same chair at 4 pm.
If you connect email, the client gets a confirmation with a link to cancel the visit and a file that adds it to their calendar, and a reminder before the appointment. Without email the booking is saved too, but nothing arrives in the inbox.
Not every salon wants to hand the calendar to a bot right away. In that case the bot can collect a request for an appointment with a preferred day and contact details, and you call back when you finish with your client. The client only has to hear that this is not a booking yet, for example like this: “We have noted your request for Friday afternoon. We will get in touch to confirm the time.”
How a chatbot differs from booking software
If you already use Booksy or Google Calendar, here is the catch. The bot’s calendar does not sync with them. The file the client adds to their own calendar is only their private copy of the visit and blocks nothing in your system, so reception will not see there that 4 pm is already taken.
Trouble starts when two sources of bookings run at once. Reception enters a phone booking in one tool, the bot takes a visit in the other, and both show the same hour as free. Separate them before you turn on bookings in the chat. You can, for example, give the bot afternoons only and not book those over the phone. If that split does not suit you, start with appointment requests and move to bookings later, once you know how many people book through the website.
Clinics and law firms: where the bot should stop
In a clinic the bot handles the organisation of visits and the scope of the offer, and health advice stays with the specialist. A booking chat does not need test results to choose a consultation hour. The GDPR says to collect only the data needed for the purpose, and health information belongs to special categories with separate conditions in the law, so the less of it reaches the chat, the better.
In a law firm a short description of the matter is enough at the start, enough to route it to the right person. The history of a dispute and scans of contracts the lawyer will collect later, through an agreed secure channel, if they consider them necessary at all. One caveat applies to both trades. The chat’s features alone do not decide whether a deployment complies with the law, so before you launch, decide what data the bot collects and who has access to conversations.
A test visit before you turn on bookings
The best test is to book an appointment at your own salon. You reserve a slot through the chat, check in the panel that it appeared, and then try to take the same hour a second time, this time from another phone. The second attempt should fail. Finally you cancel the first visit and see whether the hour is free again. If you have email connected, read the confirmation the way a client who does not know your salon would read it, and click the cancellation link in it to see what happens.
The second test covers questions the price list does not answer. Ask one and request a person twice, once during working hours and once in the evening when the salon is closed, and then look in the panel for data that is enough to call back. If it is missing, the bot asks for too little and that needs fixing before launch. What remains is to decide who picks up such requests while you work with a client, and who looks at them after closing.