Multi-Agent AI Assistant for CAR Avenue Mercedes-Benz Belgium

Intro
Plus
Pro
4-6 weeks
Features (includes all Intro plan, plus):
  • Separate agent for each company service with unique instructions and knowledge bases
  • Dynamic parsing of information from the website for agent knowledge bases
  • Dynamic creation of vehicle databases
  • Model list and database for each model - automatically scraped from the website
  • Nearest service center search based on entered city
  • Enhanced database recording with additional AI-powered data analysis
  • Option to ask questions or book a test drive/appointment for each model
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About the Project
Industry: Automotive Retail
Solution Type: Multi-Agent AI Assistant
AI Technology: OpenAI GPT-4, LangChain, Elevenlabs, DeepGram
Other Technologies: Python, NodeJS, ReactJS, AWS, Google API
Integrations: CRM, WhatsApp, Voice Integration

Problem Statement

Challenge Description
Challenge Description

CAR Avenue Mercedes-Benz Belgium needed an efficient way to handle customer inquiries, provide information about their services, and streamline various customer interactions across multiple languages.

Key Pain Points
Key Pain Points
  • Managing diverse customer inquiries about different services
  • Providing consistent information across multiple languages
  • Efficiently handling appointments and test drive requests
  • Connecting customers with the right dealerships and service centers
Specific goals
Specific goals
  • Implement a multilingual chatbot to handle customer queries
  • Automate the process of gathering customer information
  • Provide 24/7 availability for customer support
  • Improve the efficiency of scheduling appointments and test drives

Solution Overview

Detailed explanation: We developed a sophisticated multi-agent AI chatbot platform capable of handling various services and inquiry types in three languages. The system evolves from a single agent to multiple specialized agents, each with unique instructions and knowledge bases
AI Technologies Used

AI Technologies Used

  • OpenAI GPT-4 for advanced natural language processing and generation
  • LangChain for connecting language models with external data sources and APIs
  • Elevenlabs for text-to-speech synthesis
  • DeepGram for speech-to-text conversion
  • Google API for various integrations and services
High-Level Architecture

High-Level Architecture

  • Frontend: ReactJS-based web interface
  • Backend: NodeJS server with Python-based AI logic
  • Cloud Infrastructure: AWS services for scalability and reliability
  • AI Layer: GPT-4 and LangChain for natural language processing and knowledge management
  • Voice Integration: Elevenlabs for text-to-speech, DeepGram for speech-to-text
  • External Integrations: Google API, CRM systems, and other third-party services
Key Features

Key Features

  • Multilingual support (three languages)
  • Service-specific AI agents
  • Dynamic information parsing from the website
  • Appointment and test drive scheduling
  • Dealership locator
  • Parts and accessories search and ordering (in Pro version)
  • Voice and WhatsApp integration (in Pro version)
Other Technologies

Other Technologies

  • Python for main codebase and AI logic
  • NodeJS for server-side operations
  • ReactJS for frontend development
  • AWS for cloud infrastructure and services
Additional Consulting Services
As part of the project, we provided comprehensive business consulting and AI expert business analysis services.
This included:
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    Detailed mapping of existing business processes
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    Identification of key areas for AI integration and automation
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    Development of custom AI strategies aligned with business goals
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    Creation of detailed process descriptions for each AI agent
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    Collaboration with CAR Avenue Mercedes-Benz Belgium team to ensure alignment with their specific needs and industry requirements

Outcomes and Metrics

Expected Results
  • 70% reduction in response time to customer inquiries
  • 40% increase in appointment and test drive bookings
  • 50% reduction in workload for customer service staff
Qualitative Results
  • Improved customer satisfaction due to 24/7 multilingual support
  • More consistent and accurate information provided to customers
  • Enhanced ability to handle diverse customer needs across different services

Lessons Learned

Key Insights
  • Multi-agent approach significantly improves the quality and relevance of interactions
  • Dynamic knowledge base updates are crucial for maintaining accuracy
  • Integration with existing systems (CRM, inventory) enhances the chatbot's effectiveness
Best Practices Identified
  • Regular analysis of chatbot conversations to refine AI models and identify new customer needs
  • Maintain a balance between AI automation and human touchpoints for complex inquiries
  • Continuous updating of vehicle and service information to ensure accuracy
2-3 weeks
Features:
  • Description of all service types and inquiry categories
  • Knowledge base preparation for current user questions
  • Multilingual support (three languages)
  • Single agent collecting customer information using one script
  • One knowledge base for responses
  • Database recording of interactions
  • Email notifications for new inquiries
  • Single channel - website chatbot
2-3 weeks
Features:
  • Description of all service types and inquiry categories
  • Knowledge base preparation for current user questions
  • Multilingual support (three languages)
  • Single agent collecting customer information using one script
  • One knowledge base for responses
  • Database recording of interactions
  • Email notifications for new inquiries
  • Single channel - website chatbot
2-3 weeks
Features:
  • Description of all service types and inquiry categories
  • Knowledge base preparation for current user questions
  • Multilingual support (three languages)
  • Single agent collecting customer information using one script
  • One knowledge base for responses
  • Database recording of interactions
  • Email notifications for new inquiries
  • Single channel - website chatbot
Related Case Studies

FAQ

Can the AI assistant be multilingual?
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Can you customize the AI assistant with my dealership's specific processes?
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Can you integrate the AI assistant with my existing ERP and CRM systems?
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What about ongoing support and updates?
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Do you offer any guarantees for the AI assistant's performance?
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How does the AI assistant handle customer data privacy and security?
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Can the AI assistant help with lead generation and qualification
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How does the AI assistant handle complex or unique customer inquiries?
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Can the AI assistant provide analytics on customer interactions and preferences?
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How does the AI assistant stay updated with new vehicle models and promotions?
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Can the AI assistant help with after-sales services and maintenance scheduling?
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How long does it typically take to implement the AI assistant in our dealership?
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