Catalogs in the Wild | EKOM
Catalogs in the Wild.
Inside how leading commerce teams are getting their product data right.
Four production catalog analyses across automotive aftermarket, foodservice disposables, industrial electrical, and furniture & home. Names removed. Patterns preserved. The work, finally, made visible.
50%
of shoppers have dropped a
purchase — couldn't find enough
product information
41%
walk away when product info
conflicts across channels
40%
have returned an order because the product data was wrong
73%
think less of a brand after
finding bad product content
Sources: Syndigo, State of Product Content (2024); Akeneo, Product Information Report (2025).
What we analyzed
Four production catalogs. Every column profiled. Every conflict documented.
Each catalog was profiled at the field level — blank rates, value distributions, cross-record consistency, vertical taxonomy alignment. Names removed. Patterns preserved.
Industrial Electrical
Mid-market electrical distributor · Full catalog
500K+ SKUs · 203 columns profiled
Analysis dimensions: cross-field validation, safety classification consistency, unit of measure normalization, manufacturer spec alignment, ERP-to-catalog fidelity
Foodservice Disposables
Regional distributor · Disposables category
~2,300 SKUs · 87 columns profiled
Analysis dimensions: compliance attribute consistency, certification flag alignment, pack count accuracy, material classification, channel readiness scoring
Automotive Aftermarket
National aftermarket brand · Installation hardware
120K+ SKUs · fitment + attribute layers
Analysis dimensions: fitment data accuracy, barcode integrity, AI agent discoverability, pipe-delimited field decoding, part number cross-reference validation
Furniture & Home
Multi-channel furniture retailer · Marketplace syndication
Large-format catalog · Mirakl syndication scope
Analysis dimensions: marketplace field completion, compliance text integrity, regulatory attribute accuracy, extractable value mapping, publication readiness by channel