A deep-pass data-quality read across refrigeration, cooking, and laundry listings — and where it leads.
This is a real EKOM catalog analysis, with the retailer's identity removed. The client is a major appliance retailer carrying refrigeration, cooking, laundry, and ventilation equipment across established manufacturer brands. EKOM ran a deep pass on the appliance category — cross-referencing each listing's syndicated content against the retailer's own page and against sibling products from the same brand — and surfaced 43 flagged items, 33 of which are real, actionable catalog issues, the kind standard validation misses, because it checks whether a field is filled, not whether the value is right.
What follows leads with the findings a shopper hits first — customer-visible, live on the site today — then traces the pattern back to its structural root: a handful of catalog fields that quietly combine several kinds of information into one column, and a syndicated-content pipeline that occasionally hands one brand's copy to another. Third-party brand and model names are kept as they appeared; only the retailer's own identity has been removed.
Where the 33 actionable findings concentrate, by theme. Many issues span more than one theme, so theme counts are approximate.
| Theme | ~Count | Who feels it |
|---|---|---|
| Cross-source content contamination | 5 | Shoppers + brand partners |
| Spec, install-type & lifecycle contradictions | 6 | Shoppers |
| Identifier & barcode defects | 5 | Ops |
| Brand taxonomy fragmentation | 3 | Shoppers + brand partners |
| Slug, URL & category errors | 5 | Shoppers |
| Content completeness | 5 | Shoppers |
| Catalog structure (non-atomic fields) | 4 | Ops |
Highest impact — the issues a shopper actually sees, live on the site today.
A refrigerator's name states 21.51 cu ft; its own description states 31 cu ft — a 44% swing on the same listing. A range hood's name says wall-mount installation; its description says under-cabinet. A wine cooler's product name reads "Built-In Freestanding" — two mutually exclusive installation types, in one name. A separate range hood's name claims a 30-inch width while its description references a 24-inch hood. None of these require outside data to catch — the contradiction is sitting in two fields of the same record.
Several GE items carry two pipe-delimited values in a single UPC field instead of one canonical code — in some cases a truncated or leading-zero-stripped duplicate of the real number. Two other items are missing UPC and GTIN-14 entirely, which is enough to break inventory receiving, POS scanning, and third-party price-comparison feeds outright.
A microwave, a wine cooler, and a top-freezer refrigerator each carry a completely empty description field — no specs, no copy, nothing for a shopper or a search engine to read. A range hood's description cuts off mid-sentence. Three more items are missing the brand prefix every other listing in the catalog carries in its product name.
Most of what surfaces above traces to one of two structural roots.
GE's sub-lines are cataloged as PROFILE and CAFE — entirely separate brand values from GE itself, splitting one manufacturer's inventory into three unfiltered pools. The same pattern repeats for a second manufacturer's premium sub-line, cataloged separately from its parent brand. A shopper filtering by the parent brand never sees the sub-line's inventory; a brand partner running their own performance report sees a fraction of what's actually listed under their name.
A handle-kit's URL slug reads cafe-cafe-… — the brand word prepended twice, because the generator added it to a product name that already started with the brand. The same pattern shows up on at least three more items in the same product line. Elsewhere, a single misspelling — "Gemston" instead of "Gemstone" — propagated into a product's name, slug, and URL alike. Two more items are filed under the wrong category branch entirely: a freestanding range under wall ovens, and a set of wall-oven accessories under range accessories — each invisible to the shopper browsing the category it actually belongs in.
Four core catalog fields — the product name, the category-ancestry path, the syndicated feature list, and the English URL slug — each combine several distinct kinds of information into a single column rather than keeping them separate. That's not a defect in any one listing; it's a structural choice that makes several of the findings above harder to catch and harder to fix at scale, because correcting one instance doesn't correct the pattern.
Why a cross-referenced pass catches what a field-by-field check misses.
A field-by-field completeness check would have passed most of this catalog — every field above is populated. Reading records against each other, and against their own syndicated source, is what turns "populated" into "correct," and it's what makes the next step precise: EKOM knows exactly which records need correction and which are already sound.
This pass read and diagnosed. The same structural understanding powers the work that follows — turning a diagnosed catalog into one that reads right everywhere it's seen.
This is EKOM's first read of this retailer's appliance catalog. The pipeline read the live public storefront and cross-referenced each listing's syndicated content against the retailer's own page and against sibling products from the same brand, so a pattern like a rival brand's copy landing on the wrong listing surfaced cleanly rather than averaging away. The findings here are that read, with the retailer's identity removed and third-party brand and model names preserved.