Context-aware Voice AI
Connects calls with customer and vehicle history, repair-order details, and real-time DMS information. It can answer service questions and book appointments based on available service capacity.
AI operations platform for dealership communications, service appointments, and customer satisfaction.
Numa is an AI operating system for car dealerships, focused on customer communication and fixed-operations workflows. It brings voice, text, and chat into a shared system, connects conversations with dealership management system (DMS) and CRM context, and supports appointment booking and follow-up. The goal is to help dealership teams respond to customers, coordinate work across departments, and identify service issues while they can still be addressed.
Connects calls with customer and vehicle history, repair-order details, and real-time DMS information. It can answer service questions and book appointments based on available service capacity.
Combines dealership customer communications across channels in one inbox, giving staff a shared view of conversations and supporting AI-assisted customer handling.
Monitors customer sentiment in real time and flags at-risk interactions so dealership teams can respond before a customer survey.
Drafts replies, surfaces conversation history, and follows up on customer requests to reduce manual message handling for service advisors.
Surfaces declined and unsold service work recorded in dealership data and supports follow-up to help turn those opportunities into booked work.
Lets dealership staff answer calls and messages while away from their desks.
Use call and text handling with timely follow-up to respond to customers who might otherwise wait on voicemail or an unanswered message.
Answer questions about a vehicle or open repair order, then schedule a visit using service-bay availability to avoid double-booking.
Give service staff and managers a shared record of customer communications instead of relying on separate channels or personal phones.
Use real-time sentiment and heat-case alerts to identify customers whose experience needs attention while they are still interacting with the dealership.
Review declined or unsold work surfaced from dealership data and contact customers to pursue relevant service appointments.
The platform connects with dealership management systems and CRMs, and its Voice AI uses real-time DMS information. The website also describes integrations with schedulers.
Numa says most dealerships go live in two to three weeks. Its team handles DMS integration, phone configuration, and staff training; the site says most teams are proficient within 90 days.
Numa describes its fit as franchise dealerships and multi-rooftop groups with high call and text volumes in fixed operations. It also mentions single stores seeking to address missed calls.
Numa says its Voice AI can use caller, vehicle, and repair-order context to answer service questions, book an available appointment, and write the interaction back to the DMS.
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