Fitment is the first rule in automotive: if the part doesn’t fit, nothing else matters. This section shows how poor product data drives high return rates, why installers rather than consumers often control brand choice, and what it takes to get the right part to the right place the first time.

Modern vehicles are loaded with sensors and diagnostics, making them computers on wheels. This section covers how AI is changing repair, why access to diagnostic data matters, the pressure e-commerce giants put on the aftermarket, and why heavy-duty vehicles bring an even tougher data challenge.

Digitization without organization creates more problems than it solves. This section explains why clean, consistent product data is the foundation for scaling, how taxonomy and automation reduce rework, and why improving existing data is more important than just adding more.