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Development of AI-Powered Virtual Assistant for Automotive Dealerships
  1. case
  2. Development of AI-Powered Virtual Assistant for Automotive Dealerships

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Development of AI-Powered Virtual Assistant for Automotive Dealerships

neurosys.com
Automotive
Information technology
Customer service

Challenges in Automotive Customer Service

Automotive dealerships face repetitive customer inquiries, high operational costs, slow response times, and increasing customer impatience. Manual handling of common questions consumes resources that could address complex client needs.

About the Client

A network of automotive dealerships seeking AI-driven customer service solutions

Project Goals

  • Develop an AI-powered virtual assistant for 24/7 customer support
  • Reduce operational costs through automation
  • Improve customer satisfaction via instant response capabilities
  • Enable seamless integration with dealership systems and databases

Core System Capabilities

  • Context-aware conversational interface for car purchases and service bookings
  • Multi-language support for international deployment
  • Integration with vehicle databases and appointment systems
  • Customizable UI/UX for brand alignment
  • Administrator console for chat review and lead management

Technology Stack

Symfony
API Platform
PHPUnit
Behat
Psalm
TypeScript
Storybook
Docker
Auth0
i18next
GitLab
Dialogflow
Sentry

System Integrations

  • Vehicle inventory databases
  • Calendar and scheduling systems
  • Email platforms
  • Third-party service arrangement APIs

Non-Functional Requirements

  • 24/7 system availability
  • Horizontal scalability for concurrent interactions
  • Data security and GDPR compliance
  • Multi-language support with localization

Expected Business Impact

Projected 70% reduction in routine customer inquiries, 40% decrease in operational costs, and 90%+ customer satisfaction rate for appointment-based services. Scalable solution supports rapid deployment across 100+ dealership locations.

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