numa-com
Numa is an AI Operating System for car dealerships that centralizes communications, uses voice and inbox AI to book appointments, rescue service leads, and provide real-time CSI and DMS-aware automation to improve service department productivity and customer satisfaction.
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numa-com
Numa is described as an AI Operating System for car dealerships that centralizes communications and automates service workflows to improve CSI (customer satisfaction index) and recover lost service revenue. The platform captures every call and text, integrates with CRM and DMS systems to provide full context on callers and repair orders, and automates appointment booking and follow-up. Numa targets franchise dealerships and multi-rooftop groups as well as single stores, emphasizing fast time-to-value with most dealerships going live in 2–3 weeks and teams becoming proficient within 90 days.
AI platform for car dealerships to automate communication and improve customer service.
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Claim this listing for $29Key Features
Voice AI
DMS-aware Voice AI that connects in real time to dealer systems to answer with context (vehicle, open repair orders), resolve requests, and book appointments rather than just greet and transfer.
Smart Inbox
AI-native inbox that connects the dealership's communications across channels into one conversation and enables AI agents to handle customers.
LiveCSI™
A real-time CSI (customer satisfaction index) monitor that surfaces heat cases so teams can resolve issues while the customer is still in the shop.
Service Advisor Agent
AI agent that drafts replies, surfaces full history, and follows up so advisors spend less time typing and more time closing.
Heat Case Agent
Agent designed to identify and extinguish deals going sideways, driving reported retention on rescued cases (advertised as driving 70% retention on rescues).
Opportunity Agent
Agent that surfaces declined and unsold work already present in dealership data and helps surface and book those opportunities.
Mobile App
Mobile application enabling teams to answer calls and messages on the go so they can respond immediately when it matters.
Pricing
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Use Cases
Recover missed service revenue
Use Numa to capture missed calls and slow replies, recover lost service revenue, and lift repair-order dollars per advisor.
Real-time issue resolution (Heat cases)
Detect and resolve heat cases while customers are in the shop using LiveCSI™ and Heat Case Agent to improve retention and CSI.
Automated appointment booking
Automatically book appointments and follow-ups with DMS-aware Voice AI and AI inbox to increase appointment booking rate.
Centralize communications across departments
Provide a single source of truth by integrating DMS, CRM, and scheduler data so advisors and managers have full context for every conversation.
Scale operations across rooftops
Standardize service operations for multi-rooftop dealer groups to improve accountability, reduce management hours, and increase CSI.
Integrations
DMS (Dealer Management System)
Real-time DMS integration to pull full context into calls and texts; Numa states ~90% DMS coverage across the industry.
CRM
Connects to dealer CRM systems to surface customer and lead context across conversations.
Scheduler
Integrates with appointment schedulers to book into genuinely open service bays and avoid double-booking.
Benefits
Limitations
Frequently Asked Questions
What is Numa?
How is Numa different from a regular AI Voice or phone-answering service?
What results do dealerships see with Numa?
How long does it take to get Numa up and running?
Is Numa a good fit for my dealership or dealer group?
Getting Started
- 1 Request a demo via the Numa website (Get a demo)
- 2 Coordinate DMS integration, phone configuration, and scheduling with Numa’s onboarding team
- 3 Train staff with Numa’s onboarding/check-in process and transition to live operations (most go live in 2–3 weeks; proficiency within 90 days)
Support
Contact support at [email protected]
demo
Request a demo from the website (Get a demo) to see product functionality and onboarding
docs/case studies
Resources include case studies, blog posts, and FAQs available on the site for operators and implementation guidance
API
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