AI AssistantBooking AutomationAuto ServiceCRM Integration

BOOKING & REQUESTAUTOMATIONFOR AN AUTOSERVICENETWORK

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Claude Certified

OpenAI

GitHub Copilot

At a glance

The results at a glance

Industry: Auto service network (СТО)
Channels: Website, Google Maps, social, messengers
Scope: Request handling & booking
Stack: AI dialog, CRM, live scheduling, Telegram

Instant

First reply on every channel

24/7

Requests captured, day and night

Auto

Repair requests built without a manager

The challenge

Managers were buried in repetitive booking chats

A network of auto service stations (СТО) received dozens of requests every day across its website, Google Maps, social media and messengers. Every customer wanted the same thing — to describe a car problem and book a slot.

Managers replied by hand: clarifying the issue, checking each branch's workload, and offering available dates. As volume grew they hit overload — replies were delayed, and a share of customers simply booked with a competitor instead.

What the AI assistant does

Instant reply

The moment a request lands — website, Google Maps, Telegram or Instagram — the AI greets the customer and opens a short dialog. No waiting for a manager.

Car & model

It asks for the car make and model so the service knows exactly what's coming in for repair.

Year & problem

It clarifies the production year and asks the customer to describe the issue with the car in their own words.

Urgency

It checks how urgent the repair is — same-day, this week, or flexible — to prioritise the right slot.

Preferred date

It asks for a preferred visit date and checks the live schedule for open bays and available times.

Create the request

It builds a structured repair request in CRM with the car, problem and urgency, and proposes real available slots.

Manager handoff

The manager receives a ready-to-confirm booking with all the context — in a Telegram or Slack ping.

Inside Qberry

Built by practitioners, not theorists

"Most AI agents die in the gap between a demo and production. We close that gap on purpose — mapping the workflow, the tools, and the failure modes before we write code. That's what makes an agent something a business can actually run on."

Andrew Koval

PMO, Qberry

AI tools we use at Qberry

Claude

OpenAI

GitHub Copilot

Perplexity

Cursor

Codex

The product

The AutoFlow booking product, screen by screen

Solutions we delivered

AI Booking Assistant

An AI assistant handles the first conversation on every channel — asks about the car, the problem and urgency, and turns it into a structured repair request automatically.

DeliveredView More

Smart Scheduling

The system checks live workload across branches and bays, then offers the customer real available slots — no back-and-forth, no double-booking.

DeliveredView More

CRM & Notifications

Every request becomes a CRM card with the car, issue and chosen slot, and the manager gets a ready-to-confirm booking via Telegram or Slack.

DeliveredView More

With our technical process

Our clients' ideas rock

E-COMMERCE LEADS

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A unified system for processing leads from all channels — validation, CRM deal creation, distribution among managers, and instant client response.

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CONSULTING LEADS

AutomationAIn8nLead Qualification

Automated initial client interaction powered by n8n and AI — filtering non-target inquiries and passing only qualified leads to managers.

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CAR IMPORT

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An AI assistant answers car enquiries on every channel, collects budget, make, year, engine and market, matches live US & Korean auction cars and hands the manager a qualified buyer.

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View all cases

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Illia Kvasnitkiy

CEO at Qberry

"Qberry impresses with technical prowess, timely delivery, and excellent communication. Their dedication to quality enhanced our partnership."