The Resolution Layer · Case Study in BriefEKOM
A national foodservice-disposables manufacturer.
A single line of manufacturing data — turned into complete, publish-ready ecommerce content, built to the manufacturer's own spec with nothing invented. One of a set of anonymized EKOM analyses.
The work · from a product code to publish-ready
Complete ecommerce content for 100 items — generated from the source, held to their spec.
Each item entered as one line of manufacturing data — a code, a material, a pack count. EKOM generated the full content set for all 100: name, captions, feature bullets, case & short-name variants, and a keyword set — 15 fields each, built to the manufacturer's own Copy Field Requirements. All 100 conformed; nothing was invented, every detail traceable to source.
The transformation — one item, start to finish
Built to their spec, not ours
Every field mapped to the manufacturer's own Copy Field Requirements — the same rules their copywriter works to. 100 of 100 items conformed, ready to publish.
Nothing invented
Every generated detail is traceable to the source line. Where the data didn't say, EKOM didn't guess — the same discipline that separates enrichment from a plausible-sounding hallucination.
The bottleneck it breaks
Content that moves one SKU at a time through a single copywriter, generated across the catalog at once — consistent in the brand's voice, every item, every channel.
Foundation first
Content is only as good as the data beneath it. EKOM normalizes and structures the cryptic source before it writes — so the output is right, not just fluent.
Where it goes next · the catalog becomes a content engine
Content stops being a per-item cost and starts compounding.
New SKUs then arrive publish-ready — generated from one clean source of truth, consistent across every channel, instead of queuing behind one writer. The catalog is the entry point; the content engine is what it becomes.