fitment architecture
Experts Warn: Why Automotive Data Integration Fails
A 15% variance in data accuracy can rewrite marketplace leaderboards, and it is the chief reason automotive data integration fails. Fragmented source systems, outdated ETL pipelines, and misaligned fitment parameters create gaps that erode trust and inflate return rates. Addressing these gaps restores confidence across e-commerce channels. Automotive Data Integration: