Case study

AI-based Chatbot for Automotive Dealerships

Our client is a company specializing in automated solutions for automotive dealerships in Eastern Europe.

  • AI Solutions
  • Custom Software Development
  • Data Engineering
  • LLamaIndex
  • RAG approach

About the client

Our client is a company specializing in automated solutions for automotive dealerships in Eastern Europe.

Background and problem

The client sought to enhance their service offerings by automating the initial sales interaction process. They needed an AI solution that could efficiently handle customer inquiries, provide consultations, and assist in selecting vehicles from their extensive database.

Solution

We developed an AI-powered chatbot designed to serve as the first line of sales interaction, automating customer communication and vehicle selection.

To boost the bot's capabilities, we integrated advanced technologies like Retrieval-Augmented Generation (RAG), Knowledge Graphs, LLamaIndex, and an agentic AI approach. These technologies help the bot quickly access and retrieve relevant information, understand complex client queries, and make autonomous decisions. This ensures accurate responses and seamless handling of various client scenarios.

The chatbot is capable of processing tens of thousands of customer inquiries per month, efficiently managing five categories of inquiries with a remarkable 90% accuracy rate. It provides personalized consultations and assists customers in selecting the right vehicle from the dealership's database.

By implementing this AI solution, our client significantly improved their customer engagement process, offering a seamless and efficient experience. This innovation not only streamlined operations but also positioned our client as a leader in automated customer service within the automotive industry.

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