Skip to content

12:40 · Saturday · peak hours

AI online

Is your front desk torn between the guests in the room and the messages piling up?

The room is full, WhatsApp is on fire.
The AI closes the chat itself.

The AI front desk replies in seconds, finds an open slot with the right specialist and puts the booking on the calendar. Your receptionist looks after guests instead of a phone.

3 days free on any plan. No card required.

12:41 · the receptionist is with a guest, the AI replies

The client got an answer while the front desk was taking a payment

in short: how this gets solved

Is your front desk torn between the guests in the room and the messages piling up? Here is how it gets solved.

Front desk automation matters most where one person greets guests, takes payments and answers WhatsApp at once: the chat always loses, and the client books wherever someone replied first. Botseller lifts messaging off your receptionist completely: the AI answers in seconds, names the open slots for the specialist the client asked for, writes the appointment into the calendar and confirms the visit.

Clients book inside the same WhatsApp thread they already use, with no app to install and no hold music. The AI knows your services, how long each takes and every specialist's shift, so it never double-books a chair. Anything unusual goes to a human with the full conversation, and your receptionist picks up where the AI stopped.

Every booking lands in one shared calendar, so the owner sees how each specialist is loaded by day and hour. It runs on the Growth plan and needs no developer. The queue in the room and the queue in the chat stop competing for one person.

the owner opens the calendar

The schedule fills up without the front desk touching it

Every booking goes straight onto the calendar: specialists, service durations, open slots and load by day.

why this happens

Why messages always lose to the people standing in front of you

Your receptionist would love to reply instantly. But at peak hours there is a live queue in front of her: a guest at the register, a specialist waiting for the next client, a phone ringing. So the messenger gets opened only in short gaps, and a message sits unanswered for thirty or forty minutes. At the counter that is a normal rhythm; inside a chat it is an eternity.

The person in the chat cannot see that your room is packed. All they see is silence. So they message two or three places at once and book with whoever replied first. You never find out about the booking you lost: an unread thread does not look like a loss. The reports look fine, but the chairs fill up slower than they could.

Hiring a second receptionist just for the chat is expensive, and in the slow season that person sits idle. So it makes more sense to split the flows: the live queue stays with a human, while front desk automation takes the entire chat, never gets busy and never goes on break. Each channel gets its own dedicated responder, and nobody is left waiting.

this is already live

ApexPizza handles hundreds of requests without extra front desk staff

An illustration of the scenario. Real numbers and details are in the case study.

Case ApexPizza: +$2M/year

what changes

What changes on the very first busy Saturday

Saturday runs exactly as always, except the phone at the desk stays quiet: the AI is running the chat, and every conversation ends with a line in the calendar. Guests at the counter get full attention instead of a person typing with one hand.

In the evening the owner opens the schedule and sees bookings that appeared on their own: who is coming, to which specialist and at what time. The bigger change shows up a month later: the gaps between visits fill in tighter, because no request is left to go cold in the unread pile.

The receptionist feels it too: the constant choice of who to answer first disappears from her shift. So turnover in that role drops, and new hires never have to learn to juggle chats, because the job simply does not include it any more.

how much it costs

$179 /mo

The Growth plan: The AI front desk, bookings and a specialist calendar, reminders, WhatsApp plus two more channels, and every client history in the CRM. It pays for itself on the first bookings that used to get lost in the unread pile.

what people ask before launching

Can the AI book with a specific specialist?

Yes. It knows every specialist's shift and how long their services take, offers slots only with the person the client asked for, and will find the earliest time with anyone free if that is what the client wants.

What happens if a client asks something unusual?

The AI answers the routine questions itself and passes anything complicated to your receptionist along with the whole conversation. The client never notices the seam: someone simply replies.

Can the receptionist step into a conversation?

At any moment. As soon as she writes in the thread herself, a soft handover kicks in: the AI steps aside and stays out of the way until the dialogue is handed back to it.

Where do the bookings end up?

In the Botseller calendar: specialists, services, durations and visit statuses. The owner and the front desk see one shared schedule from a phone or a laptop.