Numa will extend AI across SocketTime’s workflows to re-sequence work based on shop capacity, technician skills, and job complexity, and to convert inspection results into customer communications and guidance.

The deal deepens AI integration across more than 1,300 U.S. and Canadian dealership locations, embedding AI into service departments and shop workflows.

Numa has acquired SocketTime to create a single operating system for service operations by connecting Numa’s AI agents with SocketTime’s scheduling, capacity planning, inspections, repair approvals, parts coordination, recon, and technician activity.

Automation will provide status updates, delay alerts, identify at-risk CSI-impacting situations, and coach advisor and technician communications while linking service, recon, and trade opportunities in one system.

The deal connects customer experience, service workflow, technician activity, approvals, parts coordination, and management visibility into one intelligent system of work.

Numa has processed over a billion communications across 1,300+ dealerships and holds about 90% of the dealership management system market in integrations, backed by $50 million in funding from major investors.

The combined platform aims to move dealerships from fragmented tools to a unified system that understands the live state of the service department, enabling real-time dispatch and automated approval workflows.

Voice from leadership emphasizes an operating system for the service lane, embedding AI within real workflows, and prioritizing operational intelligence over standalone tools.

Numa is recognized on the 2026 Inc. 5000 list as No. 443, highlighted as the fastest-growing dealership software company on that ranking.

SocketTime provides real-time scheduling, advisor write-up, dispatcher capabilities, MPI workflows, recon, and multi-store management to improve shop throughput and CSI by coordinating capacity and workflow.

SocketTime’s focus areas—capacity, dispatch, inspections, approvals, recon, and communication—anchor the transformation, with AI expanding fixed operations when linked to real workflow.

Numa CEO emphasizes embedding AI into the store’s operational fabric rather than introducing a separate app.