# A car hub runs its first line, account management, lot search and Buy Now on four AI agents

> Car hub importing from US and Korean auctions: four AI agents, first contact in Telegram within 3 minutes, not 1–1.5 days, deal conversion 5% instead of 3%.

URL: https://emilus.dev/en/cases/car-dealer-hub/
Emilus · hello@emilus.dev · https://t.me/brrr28

1. [Emilus](https://emilus.dev/en/)
2. [Case studies](https://emilus.dev/en/cases/)
3. Agents for a car hub

emilus. Agent

Status: In production

The hub imports cars from auctions abroad and sources them for each client. Four agents on a shared foundation take over the routine, from the first reply to a new lead to an alert about a good lot. Money and decisions stay with people.

Case facts

**Client:**
Car dealer hubimports cars from US and Korean auctions, sources them on the domestic market, sells

**Service:**
emilus. Agent · emilus. Voice · inbound leads, calls and client follow-through

**Status:**
In production at the clientfour agents on a shared foundation

**In numbers:**
Lead conversion: 3% → 5%first contact: 1–1.5 days → up to 3 min; 50–60% of leads come from ads

The “before” figures and the result are per client data; the payback below is an estimate.

## The client's situation

The hub brings cars from auctions in the US and Korea, sources cars on the domestic market and sells cars from stock, some of which it buys with its own money. Leads come from the website, Telegram, Instagram and Facebook, and a new lead waited 1–1.5 days for a reply, even though 50–60% of leads come from paid ads. Direct messages were answered from a phone, duplicates in the CRM were hunted down by hand, there was no dedicated account manager, and good “Buy Now” lots were tracked manually for 1–2 hours a day, with some of them missed.

After the purchase, clients kept asking in the chat where their car was, and someone had to collect the status from the logistics team.

**3%**

lead-to-sale conversion; at least 2%

*per the client's brief*

**1–1.5 days**

before a new lead was handled

*per client data*

**50–60%**

of leads come from ads

*per the client's brief*

**2–5 min**

is how long a good “Buy Now” lot lasts; 1–2 hours a day of manual monitoring

*per the client's brief*

The rule for all four agents No amounts or dates outside the system: the manager edits every lot offer, and a lot is bought only after the manager taps the button.

## What the system does

- **Messages a new lead in Telegram within 3 minutes,** using the name and number from the form, day and night, while the lead is still warm.
- **Calls a new lead by voice right after the request:** clarifies what they are looking for in Ukrainian and logs a call summary in the CRM, so the manager knows what the person needs before the first conversation.
- **Answers inquiries from the website, Telegram, Instagram and Facebook** by the company's rules and collects the details so the client is contacted no more than twice.
- **Qualifies the lead and creates the CRM record right away, with no duplicates,** adding a summary and tags, so the manager sees at once who this is and what they need.
- **Sells like the best manager on the team:** knows the services, the “we import at our own cost” terms, credit, leasing and current promotions from a knowledge base that is updated from call recordings.
- **Finds cars in stock that match the request** and sends the client options while they are still in the chat.
- **Picks auction lots to the manager's spec** and prepares an offer with a turnkey cost breakdown, which the manager edits before it goes out.
- **Follows up with those who said “I'll think about it”** when there is a reason, such as a new promotion or a similar car, and stops once they reply. It hands a hot client to the manager with the full history, and at night it collects everything for the morning or messages the person on duty.
- **After the deposit, tells the client in Telegram where the car is:** auction, container, port, customs, service shop, so the manager no longer chases the logistics team for updates.
- **Calls the client when the car is ready at the service shop:** reports that it is ready and agrees on a pickup time, so the car does not sit around and the manager does not have to call clients one by one.
- **Watches “Buy Now” lots at US auctions and buys a lot with one tap from the manager:** compares the price with the market by year, mileage and condition, sends an alert with a button in Telegram, and while the lot is still live, the system buys it. The decision is always a person's.

**Illustration** · How the system works

### The architecture in plain terms

The four agents share one foundation: a knowledge base, the company's CRM as the source of truth, and an action log. The first line and the account manager also talk to clients by voice. A person stands wherever money and commitments are involved: the lot offer, the purchase, amounts and dates for the client.

**Channels:**
website · Telegram · Instagram · Facebook · voice calls

**Integrations:**
the company's CRM · telephony and call transcripts · auctions: the “Buy Now” category · Telegram alert channel

## How it works

**The client's path, from request to a car on its way**

1. client · **Request** · From the website or a messenger
2. first line · **First touch** · Telegram within 3 minutes and a voice call right after the request
3. agent · **Details and qualification** · No more than two contacts with the client
4. CRM · **CRM record** · No duplicates, with the call summary
5. agents · **A car for the request** · From stock or an auction lot
6. manager · **Lot purchase** · Alert with a button: the system buys the lot after the tap
7. manager and client · **Deal** · A hot client with the full history, money stays with people
8. account manager · **Follow-through** · Car status from the auction to the service shop
9. voice · **Car is ready** · A call to the client and a pickup time

“Buy Now” runs in parallel: it watches the auctions by filters and sends an alert with a button in Telegram. A lot is bought only after the manager taps it.

## Result and payback

**up to 3 min**

was 1–1.5 days

to the first contact with a lead in Telegram

per client data

**5%**

was 3%

conversion to a deal: +2 percentage points

per client data

**4 agents**

working together, from the first message to a qualified request and a matching car

per client data

**Project payback: ≈2 months *estimate*** · Every 100 requests now bring 5 deals instead of 3. At ≈300 requests a month (an assumption), that is +6 deals at $1,000 profit each, so a system of four agents at $12,000 (the top of the “System” range on the [pricing page](https://emilus.dev/en/pricing/)) pays for itself in ≈2 months.

## What is running

1. running First line: first contact in Telegram within 3 minutes, a voice call, a CRM record without duplicates
2. running Account manager in Telegram and auction lot search with a turnkey cost breakdown
3. running “Buy Now”: an alert with a button in Telegram, and the lot is bought after the manager taps

The service behind this case

## [emilus. Agent](https://emilus.dev/en/services/ai-agent/)

AI agent for customer inquiries. Diagnostic $300 → pilot $2,500–3,500 in 3 weeks → system $6,000–12,000; support $300 or $500 a month; AI usage paid by you directly.

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[All case studies](https://emilus.dev/en/cases/)

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