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Case · Automotive manufacturing · Ukraine / EU · 2025

Multilingual sales agent

Routine handled
~70%
Channels
3
Languages
DE · UA
The project in facts
ChannelsInstagram · Viber · Telegram
LanguagesUkrainian · German
IntegrationCRM
Autonomous~70% of routine requests
Challenge

The same questions — across three messengers.

A license-plate manufacturer was manually answering repetitive questions about price, availability and delivery across Instagram, Viber and Telegram — with German-speaking clients in the mix.

We launched a multilingual sales agent across the three messengers, integrated with the CRM, that autonomously closes about 70% of routine inquiries and hands off the complex ones to a human.

Context

What was in the way

  • The same questions — price, availability, delivery — across three messengers
  • Some clients write in German
  • Managers replied by hand in every channel separately
Capabilities

What the system does

01

Intent detection

Price, availability, delivery — the agent runs the dialogue and brings it to an order request.

02

Two languages

Replies in Ukrainian or German — whichever the client writes in.

03

One stream in the CRM

Three messengers synchronized with the CRM: history and requests in one place.

04

Human handoff

Atypical questions go straight to a manager together with the dialogue context.

Diagram

How it fits together

Three channels clients write in
InstagramViberTelegram
Sales agent
Intents: price · availability · deliveryUkrainian and GermanRequests → CRMComplex cases → manager
What's inside

How we roll it out.

Discovery

Requests and access analysis

We study historical requests, verify CRM and API access, and score the automation potential.

Pilot

A slice of real traffic

The agent runs on part of the live requests with weekly syncs — real dialogues, not a demo.

Launch

Metrics and scale-up

We evaluate volume, response speed and escalation share — then expand the agent to full traffic.

Results

Before → after

Before
After
A manager answered each messenger separately
One agent runs all three channels
German-speaking clients waited for a German-speaking manager
The agent replies in German right away
Routine questions ate the working day
~70% of requests close autonomously

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