

Toma is an AI communication platform for automotive dealerships. It uses voice AI agents to handle inbound phone calls, qualify leads, and schedule service appointments within a dealership's management systems.
The software is designed for dealerships managing high call volumes, such as during recall events or peak seasons. By automating repetitive scheduling and inquiry tasks, it helps service advisors focus more on customers present in the store.
Beyond answering calls, the tool includes a unified inbox for tracking texts and calls, and a learning layer called Toma IQ that suggests policy updates based on analyzed call patterns. Buyers should confirm how the AI integrates with their specific DMS and scheduler to ensure a complete workflow.
Toma is SOC 2 Type II compliant, which may be a consideration for dealerships prioritizing data security.
AI agents answer inbound calls to provide responses in real time, qualify leads, and route complex inquiries to human staff.
Supports booking service appointments directly into the dealership's scheduler and DMS.
A reinforcement learning system that analyzes call patterns and suggests plain-language policy recommendations for manager approval.
Consolidates calls, texts, and messages into a single view with auto-assignment and interaction transcripts.
Sends a follow-up text message when a caller hangs up or loses connection.
Sends automated text and call reminders to customers for upcoming scheduled appointments.
Handling inbound calls to book and modify service visits.
Supporting the influx of calls during vehicle recall events to help maintain phone line availability.
Using AI to vet inbound inquiries and route leads to the appropriate dealership department.
Running SMS campaigns for overdue service reminders or recall notices using VIN data from email feeds.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Toma uses Voice AI to answer inbound calls, qualify leads, and book service appointments directly into a dealership's management system.
Through Toma IQ, the system analyzes calls and suggests plain-English policy recommendations that a manager must approve before they are implemented.
The provided evidence mentions integrations with schedulers such as Reynolds, DealerFX, and PBS.
Toma is designed to transfer the call to the appropriate human advisor and includes a 'clawback' feature to take a message if the transfer goes unanswered.
Source category: Sales
Source subcategory: Voice AI
Toma is a Voice AI platform for automotive dealerships that automates inbound calls and service scheduling. It supports BDC and service teams by handling routine inquiries and using reinforcement learning to adapt to specific dealership policies.