A national athletic retailer knew their catalog data was underperforming. 45,000+ products with inconsistent metadata meant lost visibility across every search channel. Their team needed a way to find and fix gaps at scale without adding headcount. EKOM gave them the intelligence to prioritize what mattered and the workflow to deploy approved fixes in weeks, not months.
6 weeks after the team deployed approved changes
Weeks of manual analysis reduced to hours of focused review and approval. The team spent time on decisions, not data entry.
Full catalog scanned against marketplace standards and prioritized. No one was pulled off day-to-day work.
Structured patches generated for review. Every change was approved by the team before deployment.
From gap detection to approved patches to live deployment. Previously weeks of cross-functional coordination.
Validated against Google Shopping, Schema.org, Amazon, Shopify, AI visibility, and apparel-specific standards.
New products are automatically flagged against the same standards. The team decides what to fix and when.
We always knew better product data would move the needle. We just didn't have the bandwidth to find and fix every gap across 45,000 products. EKOM gave our team the intelligence to prioritize what mattered, and we controlled every change that went live.
EKOM helps your team find gaps, prioritize fixes, and ship approved changes, turning better catalog data into measurable growth.
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