Ten groups, three age steps.
The AI finds the right one in a minute.

Class booking stalls wherever a center runs a dozen programs split by age and level: the parent gets lost in WhatsApp and your front desk retells the timetable for the hundredth time. Botseller turns it into a conversation: the AI asks the child's age and interests, matches suitable groups and books a trial class where spots actually exist.

The AI sees teacher schedules and group limits in the calendar, so it will not send a five-year-old to the teenagers or overfill the Saturday group. The parent goes the whole way in one chat, from first question to reminder. Family details land straight into a CRM card: name, age, program, where they came from.

Before the trial the AI reminds them what to bring, and afterwards asks how it went and offers a place in a regular group. Your staff step in only where a human is needed. It runs on the Growth plan and earns its keep during enrollment season, when requests arrive in a wave.

A parent arrives with a simple request: my son is five and wants robotics. But the website meets them with a table of a dozen programs, age steps and skill levels that only your front desk can decode. The question moves to WhatsApp and joins the queue behind identical ones. The richer your program, the harder it is to get into from the outside.

In enrollment season the queue grows faster than anyone can type. So the answer arrives an hour later, when the parent has already messaged the center down the road and been given a trial slot there. Nobody chose the better program: they chose the one that booked them faster. For the family it is a small thing; for you it is a membership lost for years.

Manual matching also gets it wrong: a staff member sends a child from memory into a group with no spots left, or mixes up the age step. So matching has to lean on the live schedule: age, level, limits and free slots are checked before the booking, not after an unhappy teacher calls. That is exactly how class booking works in Botseller.

The September wave stops being an emergency: the AI answers every parent at once, and each conversation ends with a trial class rather than a request to wait. Your staff work with the families who walked in instead of retelling the timetable all day.

Groups fill more evenly: the AI sees the limits and steers families toward the under-filled groups instead of overloading the Saturday ones. In the CRM the director watches enrollment in real time: trials booked, trials attended, and where the bottleneck sits.

After the trial the family does not fall out of the funnel: the AI asks how it went and offers a place in a regular group. So the trial-to-membership conversion rises with no extra advertising. Families whose timing did not work stay in the base and hear from you when a suitable group opens.