A booking and guest-service management platform for venues and multi-location operators. The AI agent handles conversations on Telegram, MAX and VK, while staff manage bookings, floor operations, guests, events, marketing and analytics in one web interface.
less administrator time spent on requests
bookings accepted without staff involvement
average AI response time vs 5–15 minutes
double bookings with automation
Understands natural language, answers questions, clarifies details, and creates, reschedules or cancels bookings while checking schedules and resource availability.
Telegram, MAX and VK share the same booking logic. Incoming requests, conversation history and guest enquiries are available to staff in the system.
Booking list and Gantt chart, host stand workspace, waitlist, walk-ins, floor map, events, reminders and notifications.
One environment for the entire group: shared guest records, settings and integrations, network reporting, venue comparison and scoped access.
Writes on Telegram, MAX or VK in plain language
AI detects intent: new booking, change, cancellation, enquiry
Asks for date, time, party size, venue — only if not provided
Checks resources, working hours and existing bookings
Picks a table, room or lane and suggests alternatives
Shows the summary to the guest and waits for confirmation
The booking is saved and visible to the administrator in the UI
Instant confirmation and a reminder 2 hours before the visit
Table bookings by slots, with capacity and opening hours.
A shared bot clarifies the venue; the manager sees the whole network.
Lane bookings per lane or as a group, with duration and party size.
Different table types (Russian, pool, snooker) with availability checks.
Halls with fixed capacity, taking the purpose of the visit into account.
Hourly reservations with a flexible schedule per resource.
Barbershop, salon, spa — services of 30/60/90 min with a price.
Restaurant, bowling and billiards in a single interface.
Shifts, waitlist, walk-ins, seating states, allocation suggestions, plan-versus-actual tracking and activity history.
Tables, rooms and other resources, zones, floor plans, schedules, unavailability and resource-combination rules.
Profiles and visit history, contact channels, duplicate detection, imports, blacklist, guest portal and service notes.
Event calendar, corporate enquiries, sessions, communications and analytics across network venues.
Segments, campaigns, automated scenarios, surveys, reviews and acquisition-source analytics.
Booking and occupancy dashboards, creation sources, quality indicators, problem cases and period reports.
Venue and network scopes, shared directories, centralised integrations and role-based data isolation.
Training centre, instruction library, assessment cycles and isolated practice workspaces for employees.
Granular permissions by feature and venue, network and venue scopes, plus PIN locking for active work sessions.
Data is separated by venue and network: staff work only with assigned locations, while each role determines which functions are available.
Action history for changes to guests, bookings and settings, data export, backups and data-management tools.
Consent, export and deletion on request; the Roskomnadzor notice and Russian storage location are confirmed, and the Telegram cross-border process is formalised.
~85–90 million active users in Russia, audience aged 18–45.
A VK Group messenger (2024), part of an ecosystem of 100M+ users.
100M+ users per month, broad age coverage.
Instant reply without waiting for an operator: +20–35% completed bookings based on similar rollouts.
AI handles the first dialogue and booking; the administrator focuses on service, not routine.
The bot takes requests around the clock; venues lose up to 30% of bookings in the evening and at night.
Every guest is added to the base with visit history: +15–25% repeat bookings.
The platform is designed for restaurants, cafes, entertainment centres, bowling, billiards, event venues and other businesses that reserve resources or time slots.
The AI agent handles enquiries on Telegram, MAX and VK using shared booking logic and a unified management environment.
We need venue, resource, schedule, booking-rule, employee-role and channel information. The implementation stages are defined after discovery.
Yes. It supports venue and network scopes, shared directories, scoped access and analytics for individual venues and the full network.
Staff use a web interface for bookings, host stand operations, waitlists, floor plans, guests, events, marketing and analytics.
The platform supports consent, role-based access, audit trails, export and deletion; storage is located in Russia and cross-border processes are documented separately.
Yes. The platform includes learning materials and practice spaces, while rollout and ongoing support are agreed for each venue or network.
Software development or legal support — describe your situation and we'll propose a solution. We reply within one business day.
