Built for

Industry: Automotive & Fleet · Delivered: AI Car-Inquiry Chatbot
Turned Manual Follow-Ups Into An Instant, Car-Specific Answer For Cargentur

A personalized web page and AI chatbot for every mobile.de inquiry, restricted to the exact car a buyer asked about.
PERSONALIZED PER INQUIRY - RESTRICTED TO ONE CAR - CONDITION REPORT CLEANED - <2S PAGE LOAD

The problem
Every Car Inquiry Waited On A Manual Follow-Up.
Industry pain. A buyer inquires about a car on mobile.de and waits for someone on the sales team to follow up by hand. Every reply depends on a person being free, and response times suffer.
Cargentur's version. The system builds a personalized page for that inquiry and answers follow-up questions about the specific car automatically, with a real agent available the moment it's needed.

Every inquiry gets a page built for one car.
The moment a buyer messages about a car on mobile.de, Cargentur generates a page for that car alone: photos, specs, and the cleaned condition report, pulled straight from the file server.
In one screen
The Condition Report, Cleaned Of Pricing.
Cargentur's file server holds the inspection PDF for every car. Before it reaches a buyer, the system removes the pricing information and displays the cleaned report on the inquiry page.

A page per inquiry
One Page, Matched To One Car.
The page is generated the moment a buyer messages about a car on mobile.de, matched to that vehicle by its file-server ID.

When it's time for a person
One Click Hands The Conversation To Your Team.
End Chat or Talk to Real Agent both close the session and send Cargentur's team an email with the full chat history and a summary.

What We Delivered for Cargentur
A page built for one car.
Every mobile.de inquiry gets its own page, matched by file-server ID with an OCR fallback.Predefined answers for sensitive topics.
Damage and price-negotiation questions get a policy-safe response every time.A clean handoff, every time.
End Chat or Talk to Real Agent both close the loop with a summary email to Cargentur's team.
Chatbot restricted to the car in question.
No answers about any other vehicle in Cargentur's inventory, by design.Editable by a supervisor, not an engineer.
Authorized staff update response templates, test them in a sandbox, and publish with an audit trail.

Considering an AI build for your dealership or marketplace?
30 minutes. Bring your file server and your inquiry volume. Walk out with an architecture built around your own data.
Our process
Four Stages From Brief To Live Deployment.
Conceptualization
Design
Development
Deployment
Staging and production environments, automated deployment, with SSL/TLS encryption and GDPR-aligned data handling built in from day one.
What's inside
A Car-Specific Chatbot On A Production Stack.
Tech Stack
Built on Python and FastAPI, with a ChromaDB knowledge base and OpenAI GPT-4o-mini answering every question from the specific car's own data.





Figure 1. A mobile.de inquiry triggers a page lookup by the car's file-server ID. OCR fills any gaps from the condition report into a ChromaDB knowledge base. GPT-4o-mini answers grounded in that car alone, on Python and FastAPI. End Chat or Talk to Real Agent sends a summary to Cargentur's team.
The Results
Results
From A Manual Follow-Up To An Instant, Car-Specific Answer.
Before
How Inquiries Got Handled Before.
A buyer messaged about a car and waited for someone on the sales team to follow up by hand, using general knowledge instead of that car's own data.
AFTER
How They Get Handled Now.
A buyer gets a personalized page and an instant chatbot answer grounded in that exact car, with a real agent one click away when it's needed.
Performance
Personalized page load time
Availability
Uptime target
Security
Encryption on every data exchange
Compliance
Aligned data handling and retention
Frequently asked
It only answers about the car in the inquiry. Generic sales, payment, and delivery questions get a standard answer; every other vehicle is excluded by design.

Ready to ship an AI inquiry platform of your own?
30-min call. We will walk through your file server, your inquiry volume, and what a fixed-scope build looks like.
Related Work
Similar projects built with secure, production-grade AI and specialized expertise across healthcare, education, and automotive sectors.
Insights From The Kodexo Labs Team

7 Promising Agentic AI Use Cases with Real-World Business Examples for 2025
August 2025 · By Mohammad Ahmed Rajput
Explore 7 promising agentic AI use cases for 2025, including autonomous customer support, supply chain optimization, and personalized retail experiences, with real-world examples demonstrating 20-60% efficiency gains and ROI within 6-18 months across healthcare, sales, retail, and more.

What Is Model Context Protocol (MCP) and Why It’s the Future of AI Context Management
July 2025 · By Mohammad Ahmed Rajput
Explore the Model Context Protocol (MCP), an open-source standard launched by Anthropic for AI systems to access tools, APIs, and live data. Learn how MCP solves the M×N integration problem, enables agentic AI, and powers scalable, secure workflows with real-time data access. Ideal for developers, CTOs, and enterprises building intelligent systems in 2025.

Agentic AI vs. Generative AI: Key Differences and How to Choose the Right One in 2025
July 2025 · By Mohammad Ahmed Rajput
Explore the key differences between Agentic AI and Generative AI in 2025, focusing on autonomy, decision-making, and content creation. This guide covers their characteristics, use cases, and decision frameworks for businesses aiming to optimize operations or creative workflows.















