Akeneo Strawberry

Which products are blocked, on which channel, missing what

Eleven hundred products checked across four locales and three channels, one row each. Then the missing values, fetched from the supplier portal you already have a login for.

A product information manager fails in a particular way. Nothing is broken. The product exists, it has a name and a price, and it will not export to the marketplace because the German description is missing and the energy label attribute was never filled in.

A companion reads completeness across every channel and locale and turns the backlog into a work queue: blocked product, channel, missing attribute, one row each. Then it goes and finds the values in the browser, which is where they actually live.

What does an incomplete product block?

A channel export, usually silently.

Akeneo computes completeness per channel and locale, so a product can be complete for your own site and fail for a marketplace that requires two extra attributes in a language nobody on the team speaks. The grid shows this if you filter correctly, and filtering correctly is a skill that lives with one person.

A companion reads completeness across every channel and locale and produces the list that matters: which products are blocked, where, missing what. Eleven hundred products, four locales, three channels, one row each.

Where does the tedium live?

In sourcing the values.

The missing dimension is on a supplier PDF. The missing certification is on a manufacturer site behind a dealer login. The missing translation exists in a spreadsheet somebody emailed in March. None of that is in Akeneo, and all of it means opening things in a browser and reading them.

That is the half a companion is unusually good at: signing into the supplier portal you already have access to, finding the value, bringing it back, and doing it for every row rather than the first ten. Getting the results into a reviewable table is ordinary data extraction, and the whole loop is operations work.

  • Completeness by channel and locale, with the missing attributes named per product.
  • Attribute values sourced from supplier sites and documents in the browser.
  • A proposal table reviewed by a person before anything is written back.
  • Family and attribute structure changes left where they belong, in Akeneo.

A PIM write fans out to four places

A price edited in Shopify is wrong in one place. An attribute edited in Akeneo is wrong on the website, in the marketplace feed, in the print catalogue and in whatever your sales team exports for a tender, each refreshing on its own schedule.

The Available tools list on the Akeneo entry under `strawberry://settings/integrations` names every tool the connection exposes and marks the read-only ones. Keep write actions at Ask every time, review the proposed values in a table rather than in a transcript, and let a person press the button. ai for ecommerce managers covers who owns that review.

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Frequently asked questions

That is the strongest read here: completeness by channel and locale, with the specific missing attributes named per product, which turns a filter nobody remembers into a work queue.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents

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