CATALOGUE & PRODUCT DATA
Better product information starts with better structure.
Products are not only pages. They are part of a catalogue system involving categories, collections, attributes, variants, filters, search, feeds and customer decision-making.
SOURCE MATERIAL
Catalogue work often begins with imperfect source material.
Spreadsheets
Supplier price lists
Manufacturer websites
Supplier websites
PDFs
Brochures
Manuals
Catalogues
Images
Shopify exports
Mixed or conflicting sources
POTENTIAL SCOPE
Structured data work can extend across the full product record.
Duplicate checks
Titles
Handles
Descriptions
Vendors
Categories
Product types
Variants
SKUs
Barcodes
Pricing fields
Collections
Metafields
Images
ALT
SEO metadata
Specifications
Structured attributes
Filter fields
Comparison data
Source reconciliation
Standardisation
Controlled publication
QA
TECHNICAL-PRODUCT PRINCIPLE
Evidence before assumption.
Research-heavy products require an evidence-led process. Where authoritative sources conflict or evidence is insufficient, uncertainty should be held rather than guessed.
SCALE PRINCIPLE
Large catalogues need controlled rules and exceptions.
Defined rules
Deterministic corrections
Controlled exceptions
HOLD states
Protected fields
Staged implementation
Validation
CATALOGUE PROJECT
Working with a catalogue that is incomplete, inconsistent or difficult to manage?
Tell us about the catalogue, source material and intended outcome.