Talk to your product data in natural language. Surface gaps, generate fixes, and measure results. Connected to your performance tools so every insight is grounded in real data. Catalog activation at scale.
Three things, done continuously, at a depth and speed no team can match manually.
Your agent evaluates every SKU against 40+ marketplace and platform standards. It knows what changed, what drifted, and what needs attention. Critical gaps always surface first.
Not flags. Not suggestions. Structured, field-level patches with full reasoning: what's changing, why it matters, and which standard requires it. Diff previews before anything happens.
Your team reviews and approves every change before it goes live. Approve one at a time or in bulk. Deploy through your existing connectors. Every deployment is versioned and reversible.
CATALOG DASHBOARDCatalog Health
78/100
+4 this week
Products Monitored
12,847
All active
Issues Detected
234
31 critical
Fixes Ready
189
Awaiting review
Summer Collection: 47 products scanned. 12 missing structured alt text. Fixes generated.
ReviewGoogle Shopping feed: 3 products flagged for missing GTIN. Corrections drafted.
ReviewCategory mapping updated for 89 products. Schema.org compliance improved to 94%.
DoneEvery fix shows you exactly what changed, the before and after, and the rule that triggered it. Nothing is a black box.
FIX QUEUEIMG_2847.jpg
Sage green linen midi dress, relaxed fit, front view on model
Rule: Google Shopping Image Alt Text Standard
Black crewneck tee. Organic cotton.
Organic cotton crewneck t-shirt in black. Relaxed fit, ribbed collar, pre-shrunk fabric. GOTS certified organic cotton.
Rule: Schema.org Product Description
Accessories
Accessories > Belts > Woven Belts
Rule: Google Product Category Taxonomy
EKOM isn't just a surface-and-patch tool. It's a conversational layer across your entire product catalog. Ask questions in natural language, explore data relationships, flush out insights no dashboard can surface, and move from understanding to action in the same session.
Ask 'Which products in outdoor furniture are missing alt text?' or 'Show me the worst-performing category by data completeness.' Your agent answers with data, not opinions.
Go from curiosity to action in one flow. Surface a gap, understand the reasoning, generate the fix, and queue it for approval. No context switching between tools.
Your agent learns your catalog's structure, attribute patterns, and category relationships. The more you use it, the sharper the insights and the better the fixes.
EKOM connects to GA4, Google Search Console, and other performance tools your team already uses. That context flows into the agent so every recommendation is grounded in real performance data, not assumptions.
Bring in data from the tools your team already relies on. The agent uses this context to prioritize fixes by actual business impact.
Before-and-after metrics tied to every batch of changes your team approves. The brand drives the gains. EKOM makes it measurable.
No opinions. No black boxes. Every patch cites the rule it's based on, the standard it comes from, and why it matters to your product's performance.
Google Merchant Center, Amazon, Shopify, Schema.org, and more. Documented, versioned, and ready from day one.
Author internal naming conventions, category policies, and channel-specific rules. The agent enforces them alongside marketplace standards with the same traceability.
Same agent, same source of truth. Each team sees the view that matters to them.
Focus on strategy while the agent handles data quality. Approve changes in minutes, not months.
See exactly which data gaps block visibility and fix them systematically across every discovery channel.
Standardize your entire catalog against marketplace requirements at scale. The agent proposes; your team validates.
Catalog health scores, gap-to-revenue mapping, and measurable before-and-after improvement metrics.
The same analysis, the same standards, and the same workflow whether you're a boutique brand or an enterprise with millions of products.
We connected on a Monday morning and by Tuesday our team was already reviewing fixes across 2,200 products. Honestly didn't expect it to move that fast.
Head of Product Data, Consumer ElectronicsOne API. Under 24 hours. Your team reviews the first fixes.