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Chapter 05

A catalogue that helps people choose

Organise products, variants, categories and brands to make complex ranges understandable. Prices, codes and stock must be checked against store data.

Sizes, colours and other characteristics help customers choose. Size guides and technical information require reliable sources; kits, customisation and special sales formats should be assessed for your range.

Catalogue automation helps identify missing information and suggest improvements with human review. Images alone do not establish certifications or technical properties. Catalogue automation and product FAQs.

Interactive demo

An incomplete product page.
A few clicks later, ready.

A product imported from a supplier, with its name in capitals and no attributes. BitHub Shop suggests what to add and where it got it from: you accept or discard.

Current product pageSimulation
Title
VETTA30 BACKPACK BLACK 30LT WATERPROOF
Brand
—
Category
To be classified
Colour
—
Capacity
—
Waterproof
—
Best for
—
FAQ
—
Page completeness25%

Suggestions

  1. ColourBlackfrom the photoconfident
  2. Capacity30 litresfrom the nameconfident
  3. WaterproofYesfrom the nameconfident
  4. BrandAlturafrom one of your rulesconfidentRule: if the name contains “Vetta”, the brand is Altura.
  5. CategoryBackpacks › Hikingfrom one of your rulesconfidentRule: backpacks over 25 litres go to Hiking.
  6. TitleVetta 30 waterproof backpack, 30 litres, blackfrom one of your rulesconfidentTitle pattern: model, type, feature, capacity, colour.
  7. Best for new attributeHiking, day treksfrom the descriptionto check
  8. FAQ2 draft questionsfrom questions and reviewsto check

Accepted suggestions also apply to similar products imported tomorrow, because rules run again on every import.

Demonstration with fictional data: it runs entirely in this page and does not represent the results of a real store.

01 / 03

A clear product page answers questions

Names, photos, attributes, variants and availability help people choose. Well-described products are easier to compare and find through search and filters.

02 / 03

Organise before importing

Categories, brands and attributes play different roles. Identify reliable data, units and variants: catalogue quality also depends on suppliers and business systems.

03 / 03

From data to publication

Work with a representative sample before extending changes. Check pages, images, filters and translations as a customer would. AI-generated suggestions still require review.

Next step

See it working
on your catalogue.

We’ll show you the storefront and the back office with products like yours, and how you would get there from your current store.