Case Study · Atlas24h
Sales · Chat · July 2026
1,705 confirmed sales.
€113,722 in verified revenue.
One month. One AI sales agent.
We replaced an informational chatbot with an AI sales agent that qualifies leads, collects purchase data and completes the sales flow.
Download PDF€113,722
verified revenue
1,705
confirmed sales
2,776
qualified leads
61.4%
lead → contract
Production data · July 2026 · Verified through Atlas production system
Before
Informational chatbot
- –Answered questions
- –Collected no leads
- –Could not complete a purchase
- –Generated no measurable revenue from web chat
After
AI sales agent
- ✓Qualifies purchase intent
- ✓Collects customer and vehicle data
- ✓Completes eligible purchases
- ✓Hands qualified leads to the sales team
- ✓Tracks confirmed outcomes
How it works
Intent
Understands what the customer needs.
Qualification
Checks eligibility and purchase intent.
Data collection
Collects the information required for the contract.
Action
Completes the purchase or sends a qualified lead to sales.
Verification
Outcome is checked against the production system.
Production results
Confirmed sales, month over month
196
May
558
June
1,705
July
Lead → contract
Three months of growth. May: 196 sales from a channel that produced nothing. June: 558 sales, volume tripled. July: 1,705 sales, conversion rate jumped to 61% after enabling in-chat purchases. Revenue grew from €0 to €113K in 90 days.
Conversion funnel
61.4%
lead → contract
Two paths to a sale
Direct purchase
771 entered purchase flow
559 confirmed sales
Follow-up
2,005 qualified leads
1,146 confirmed sales
1,705
confirmed sales
The agent closes sales directly and feeds the human sales team with qualified leads at the same time.
The bigger picture
46.4%
46.4% of July 2026 sales came through AI channels.
Combined Atlas24h impact across sales chatbot and voice channels.
“We expected a chatbot. We got a system that changed how we operate.”
Marios Skutelis
COO, Atlas24h
Real conversations. Real revenue.
The difference was not how many questions the chatbot could answer. It was what happened after the answer.
Bring us a real process
See what this could look like on your data.
Show us where customers drop off. We'll map the process, identify what can be automated and define how the result should be measured.
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