CassTime Introduces AI Platform for Automotive Aftermarket Diagnostics
CassTime has launched an AI-powered 'T+D Solution' to address repair delays and data fragmentation in the global automotive aftermarket.
Automotive service provider CassTime showcased its new T+D (Technology + Data) platform at the AAPEX 2026 conference in Las Vegas. The system utilizes artificial intelligence to aggregate technical repair data, aiming to bridge the information gap that currently slows down maintenance and part sourcing in the automotive repair sector.
The aftermarket industry has long struggled with fragmented data across disparate vehicle manufacturers and repair shops. CassTime’s platform acts as a centralized repository, using machine learning to identify required parts and repair procedures more rapidly. By streamlining this diagnostic process, the company seeks to reduce the time vehicles remain in the workshop.
Industry analysts note that repair delays are a significant point of friction in the current supply chain. While digital transformation continues to reshape automotive logistics, the effectiveness of CassTime’s approach depends on widespread adoption across repair networks. The company intends to scale the tool globally to accommodate diverse fleet requirements.
The deployment of the T+D solution follows a gathering of industry stakeholders at AAPEX, where demand for efficient repair infrastructure was a primary theme. CassTime plans to integrate these data insights into existing service workflows over the coming year.