DvizhOK

DvizhOK: from a Telegram message to a prepared inquiry

The SEOWEB team developed a Telegram bot for the initial qualification of inquiries about engines, automatic transmissions and other car parts. Customers write in their own words, while the manager receives the details needed to start selecting a part.

Case study on the SEOWEB website
DvizhOK: from a Telegram message to a prepared inquiry
Automation
Product screens
DvizhOK — Product screens 1
DvizhOK — Product screens 2
DvizhOK — Product screens 3
DvizhOK — Product screens 4

DvizhOK: from a Telegram message to a prepared inquiry

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DvizhOK — Product screens 1

Case study on the SEOWEB website ↗
Task

Collect the request, vehicle and city details before handing the inquiry to a manager. Keep the conversation short and base information about prices, availability, compatibility, warranties and timing on approved sources.

Solution and approach

A sequence of follow-up questions that retains context can prepare an inquiry for the next step: the manager can see which part is needed and what is already known about the vehicle.

Project implementation

Implementation step by step

01The bot identifies the request type: an engine, an automatic transmission or another part.
02It asks for the vehicle make, model and year, engine displacement or code, then the customer's city.
03Context, collected answers and the current stage persist between messages, allowing the conversation to continue from the relevant step.
04AI interprets messages and phrases replies; fact checks rely on the knowledge base, while predefined rules govern the business logic.
05The solution uses Python, Telegram Bot API, an AI module and a knowledge base. Once the inquiry is qualified, it generates a structured handoff card for the manager.

Key takeaway

The manager receives a prepared inquiry instead of disconnected messages. SMM DRUG publishes this partner case with permission from the SEOWEB team and the client.

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DvizhOK: from a Telegram message to a prepared inquiry https://smmdrug.kz/en/cases/dvizhok-ai-qualifier/

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