Methodology

A defensible process for turning public product pages into structured market intelligence.

The value of ApparelSignals is not only the dashboard. It is the canonical layer that makes cross-retailer comparison possible at all.

Alignment

Textile nomenclature follows EU Regulation 1007/2011, with alias tables and explicit rulings for ambiguous raw labels, trade names, and geography normalization.

01
Collect

Reverse-engineer retailer APIs and collect at variant depth.

The pipeline captures product data from retailer storefront infrastructure and keeps each colorway and size as a distinct row rather than collapsing them into one marketing product.

02
Normalize

Resolve aliases into canonical textile taxonomy entries.

Raw material strings, care labels, and country names are mapped through curated alias tables so every downstream metric runs on consistent inputs.

03
Analyze

Aggregate through views designed for competitive comparison.

Material mix, certification coverage, price positioning, and geography are surfaced in comparable tables and dashboards rather than one-off scraped snapshots.

Operating principles

The alias table is the product. The interface is how you access it.

No inference. If the source does not state it, the dataset does not invent it.
EU Regulation 1007/2011 naming is the normalization target.
Certifications stay separate from branded fibers and trademarks.
Variant-level rows remain visible through aggregation rather than being flattened away.
The normalization layer is versioned and treated as the defensible core asset.
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