A national athletic apparel retailer's merchandising team used EKOM's agent to surface hidden product data gaps across 45,000+ SKUs — then reviewed, approved, and deployed structured fixes on their terms. The result: measurable growth across AI and traditional search channels.
6 weeks after the team deployed approved changes
EKOM's agent surfaced exactly which product data gaps to fix and how — reducing weeks of manual analysis to hours of focused review and approval.
The agent scanned the entire catalog against marketplace standards, giving the team a prioritized view of what needed attention — without pulling anyone off their day-to-day.
The agent generated structured remediation patches for the team to review. Every change was approved by the merchandising team before deployment.
From gap detection to team-approved patches to live deployment — a process that previously required weeks of cross-functional coordination.
The agent validated content against Google Shopping, Schema.org, Amazon, Shopify, AI visibility, and apparel-specific marketplace standards.
As new products are added, the agent automatically flags gaps 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 at scale. EKOM gave our team the intelligence to prioritize what matters — and we controlled every change that went live.
EKOM's agent surfaces the intelligence your team needs to identify gaps, prioritize fixes, and deploy approved changes — so better catalog data translates to measurable growth.
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