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What does it do?

  • Auto Dealerships
  • Customer Service
  • Service Scheduling
  • Call Analytics
  • Call Routing

How is it used?

  • Use web app to automate calls
  • schedule appointments.
  • 1. Call AI for appointments
  • 2. Analyze call data
  • 3. Route calls efficiently
See more

Who is it good for?

  • Sales Professionals
  • Customer Service Representatives
  • IT Administrators
  • Marketing Executives
  • Auto Dealership Managers

Details & Features

  • Made By

    Toma
  • Released On

    2024-08-27

Toma is an advanced AI solution designed specifically for auto dealerships to enhance their customer service and drive revenue by automating phone call handling and service appointment bookings. Launched in 2024, Toma leverages cutting-edge generative AI to provide dealerships with a virtual assistant that can answer calls, schedule appointments, and integrate seamlessly with existing dealership management systems (DMS) and customer relationship management (CRM) software.

Features:
- Automated service scheduling: Allows customers to schedule test drives and service appointments without human intervention, streamlining the booking process and reducing the workload on dealership staff.
- Advanced call analytics: Provides detailed analytics and reporting on call volume, customer satisfaction, and agent performance, enabling dealerships to gain valuable insights and improve their operations.
- Intelligent call routing: Directs calls to the appropriate department or individual, minimizing wait times and enhancing customer satisfaction.
- Built-in integrations: Integrates effortlessly with a wide variety of DMS and CRM systems, ensuring that all data is synced and up-to-date.
- Customizable AI agents: Enables dealerships to tailor the voice, tone, and responses of the AI to match their brand identity and customer service values, providing a personalized experience for customers.
- Secure and compliant: Adheres to the highest standards of data security, including HIPAA compliance and SOC 2 Type 2 certification in progress, ensuring that customer data is protected.

How It Works:
Users interact with Toma primarily through phone calls. The AI system answers calls, engages with customers using natural-sounding voices, and can recognize customer names and vehicle details to provide a personalized experience. For example, a customer can call to book a service appointment, and Toma will handle the entire process, from scheduling to confirmation, without any human intervention. This allows dealership staff to focus on in-person customers and other critical tasks.

Integrations:
Toma supports integrations with various dealership management systems (DMS) and customer relationship management (CRM) software. This ensures that all customer interactions and data are seamlessly integrated into the dealership's existing systems, providing a unified view of customer interactions and service history.

Generative AI and Foundation Models:
Toma leverages generative AI to create natural-sounding voices and personalized interactions. The AI is built on advanced language models that enable it to understand and respond to customer queries effectively. This technology allows Toma to provide a human-like experience, enhancing customer satisfaction and loyalty.

Availability and Target Users:
Toma is available as a web application and can be integrated into existing dealership systems within days. It is ideal for auto dealerships looking to improve their customer service, increase service appointment bookings, and drive revenue. Toma is particularly beneficial for dealerships that experience high call volumes and want to ensure that no customer call goes unanswered.

Open Source Status:
Toma is not an open-source product. It is a proprietary solution developed by Toma, Inc.

  • Supported ecosystems
    Unknown
  • What does it do?
    Auto Dealerships, Customer Service, Service Scheduling, Call Analytics, Call Routing
  • Who is it good for?
    Sales Professionals, Customer Service Representatives, IT Administrators, Marketing Executives, Auto Dealership Managers

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