Used car dealership · Lead reactivation
Brings back customers who looked at a car and left.
Every three days, an AI sales agent automatically finds CRM deals where the customer got as far as a meeting or a test drive but didn't buy. It picks five similar cars from in-stock inventory and sends a personalized offer via messenger. If the customer replies, it carries on the conversation like a live sales rep and hands the hot lead over to the sales reps' chat.
70–80% of showroom visitors leave without buying, and nobody has time to re-engage them by hand every three days
Every three days an AI sales agent finds cold deals in the CRM, picks 5 similar cars and messages the customer
3–5% of cold leads come back instead of 0–1%: about 45 extra deals a month with nobody on the phones
What it does in numbers
The problem
Where a car dealership loses money every day.
- 70–80% of showroom visitors leave without buying, and a week later nobody remembers them.
- A sales rep physically can't call "yesterday's" customers every three days by hand while keeping each one's history in mind.
- Inventory sits on the lot: there's no automatic "was interested in X, now we have a similar Y" matching across the whole dealership.
- Customer objections get lost in the sales rep's head and aren't considered in the next offer. The customer gets the same thing they already turned down.
- Correspondence is scattered across messengers and deal cards. There's no shared memory of the conversation with the customer.
How it works
Five steps, repeated every three days.
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Finds cold deals in the CRM
Every three days, it scans deals from the last 30 days at the "Meeting," "Test drive," and "Repeat visit" stages: the ones where the customer was already "hot" but left.
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Rebuilds the context for each customer
It sees which car the customer was interested in, what objections they raised, and which offers were already sent, so it doesn't repeat itself or annoy anyone.
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Picks five similar cars from inventory
Within ±20% of the price and the same body type, excluding anything offered before. It takes new arrivals into account.
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Writes a personalized message via messenger
The AI sales agent sends the customer a selection with a tactful reminder via Telegram or WhatsApp. It's not a template blast: every message is personalized.
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Carries the conversation and hands over the hot lead
If the customer replies, the AI sales agent talks to them like a live sales rep. When it sees they're ready to buy, it passes them to the sales reps' chat with the conversation history and a short summary.
Capabilities
What the solution includes.
Memory between messages
The AI sales agent remembers every customer. A customer can reply a week later, and the conversation picks up where it left off, without repetition.
No duplicate offers
The system remembers what we've already offered this customer and never sends the same car twice.
Objection tracking
If the customer said "too expensive," "too big," or "no automatic," the next selection takes these factors into account automatically.
A ready hot lead for the sales rep
The sales rep doesn't get a bare chat log. They get a card: objection history, what was offered, current interest, and the recommended next action.
Telegram, WhatsApp, classifieds
It works in every channel customers usually use to contact the dealership, including classifieds marketplaces, and remembers the context from each one.
Dual-mode AI agent
One logic handles outbound reactivation, the other handles replies to inbound customer messages. The roles never mix.
Protection against false alarms
It hands over only customers who are truly ready. It checks intent against several signals so it doesn't spam the sales team.
Intent recognition
It tells "just looking" from "ready to buy." In the first case, it continues the conversation on its own. In the second, it calls in a human.
Economics
Before and after in one table.
| What changes | Before | After |
|---|---|---|
| Reactivating cold customers | the sales rep forgot and doesn't write | automatically, every three days |
| Touches after the customer leaves | a single message or nothing | up to five personalized offers |
| Handoff to a sales rep | the sales rep hunts for "hot" leads | a ready lead with history |
| Cost of cold touches | 2 full-time staff | zero spent on operators |
| Reactivation per month | 0–1% of cold leads | 3–5% with a flow of 1,500 leads |
Reactivating even 3% of cold leads means about 45 additional deals per month, each one bringing full dealership margin from customers who had already been written off.
Who it's for
Where the solution works.
Anywhere with a long sales cycle, unique items in stock, and a flow of customers that regular sales reps can't follow up with manually.
What sets it apart
Why this isn't an off-the-shelf chatbot.
Works with your CRM stage by stage
Ready-made chatbots can't work with a dealership's custom CRM, make sense of pipeline stages, or pull customer history from it.
Inventory matching
Picking "similar cars" follows your dealership's business rules: price, body type, segment, exclusions. No off-the-shelf product has this.
Customer memory for years
It remembers what was offered to whom, even if the customer comes back a year later. Ready-made solutions can't do this.
I'll show you how to reactivate your cold leads automatically.
A free audit: in a 30-minute review, we'll show how much money is already "stuck" in your cold pipeline and how much of it you can win back.
Quiz · 6 questions · 1 minute
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