Product information work rarely lives in a single screen. Strawberry can work from the Akeneo pages open in your authenticated browser session alongside supplier files, product pages, and the other evidence you are reviewing.
Use it to identify missing product details, prepare attribute-level research, and turn a catalog review into a clear list of decisions for the team.
01
Find the gap before inventing a product claim.
A missing attribute is not an invitation to guess.
It may be absent because the supplier has not delivered it, the category does not use it, or the source material conflicts.
Strawberry can compare the Akeneo product view with the files and web pages you provide, then surface the exact gaps and their possible sources. The team gets a research queue that makes uncertainty visible.
02
Give enrichment work a traceable paper trail.
Catalog work becomes difficult to audit when a description or attribute changes without its source. The result may look polished while introducing a compliance or customer-service problem.
Use Strawberry to create an enrichment proposal that pairs each suggested value with the page, file, or tab where it was found. A human can then decide whether that evidence is strong enough for the catalog.
03
Make a category review something people can finish.
A large catalog has too many possible checks to resolve through one vague task.
Different owners need different decisions, and a long spreadsheet does not tell them where to begin.
Strawberry can organise the visible review into owner-ready slices, such as missing commercial copy, incomplete specifications, or claims requiring validation. The output can be used for a focused working session rather than another open-ended cleanup project.
04
Reuse the product-quality standard that works.
Once a category team agrees what “ready to publish” means, the review should not depend on who happens to be running it that week. Consistency protects both customer trust and operating speed.
Save the agreed Akeneo catalog audit as a Strawberry skill. It can repeatedly produce the same evidence-first review whenever the team is working through another collection.
It can use the Akeneo browser context you make available together with the supporting product files and web sources open in the same session.
It can prepare evidence-linked proposals. Review any customer-visible attribute or product claim before it is entered in the catalog.
Yes. Ask it to compare the visible product records with supplier documents or product pages and return a gap or contradiction report.
Yes. A tested, review-only audit can be saved as a skill for the next category or collection.
Limit access to the catalog context needed for the task, inspect the evidence behind recommendations, and keep human approval around publication-facing product information.