How a 1,000+ SKU Brand Cut Pattern Recreation Time by 70% with AI TL;DR: By training a dedicated AI model on its 15-year pattern archive, a large-scale sportswear brand transformed its unusable .DXF library into a searchable, scored intelligence asset. This approach eliminated manual redrafting, shortening the product development cycle from four months to four weeks and reducing pattern recreation time by 70%. At enterprise scale, the pattern room becomes a bottleneck that compounds season after season. A brand shipping more than 1,000 SKUs per season does not just face a volume problem. It faces a duplication problem, a consistency problem, and a knowledge-retention problem, all at the same time. This is the story of how a large-scale sportswear brand tackled all three, reduced its product development cycle from four months to four weeks, and stopped its pattern makers from spending the majority of their time recreating work that already existed. The situation: a pattern archive nobo...