The background: fragmentation and inefficiency
The traditional approach to quality management creates significant roadblocks for OEMs and suppliers. Quality data is exchanged manually – often through isolated portals or spreadsheets – making analysis slow and cumbersome. Suppliers, on the other hand, lack access to fleet data, preventing them from identifying and addressing potential problems early on.
The inefficiencies compound over time: integrating suppliers without standardised data models is slow, quality issues often escalate before detection, and the absence of a single source of truth creates unnecessary complexity. This “parts tourism”- shipping parts between locations for investigation – becomes a costly burden for everyone involved.