Akeneo PIM

- AI writing tool is a big one, at least for us. Being able to go in and write a prompt for an attribute that is then filled in across an entire product model is a massive way to save time and energy. - Activation portal. Specifically, the prebuilt connections within the activation portal which are easily accessible and save a ton of time. The fact that you can open up the portal, find your desired amazon connection, and instantly plug in and get real time data feedback from (in our case) one of our larger ecommerce platforms will be extremely valuable once we have that up and running. - Generally the ease of use. Specifically the import and export process and the amount of variability you can put in. We aren't even fully off the ground yet with PIM and we are finding use cases for data exports that we are directly tailoring to specific requests, and the fluidity behind it makes it that much quicker for us so we don't have extensive data gaps for our retailers.

*Attribute Tabs possibility to add units of measurement ergonomy of the tool

1) User-friendly interface for business users The UI is intuitive, making it easier for merchandising and content teams to edit attributes, manage categories, and bulk-update data 2) Flexible data modeling through families, attributes, and reference entities Akeneo provides strong structure options that helps centralize product information consistently across multiple brands 3) Clear product roadmap with continuous SaaS improvements Akeneo is actively enhancing the platform, including work on business units, improved asset segmentation, and generative-AI enrichment capabililties. 4) Good collaboration with the Akeneo Team (both technical AND customers success team) Their product managers and technical resources were engaged and transparent when discussing gaps, constraints, and roadmap alignment.

Not sure if I can directly think of 3, but I can try: - As mentioned before, the category codes being unilaterally grouped into one category header makes category exports painful to try and sift through, especially when you have 2500 categories. A more tiered or hierarchical approach to category call outs would be easier to read on a category export and would allow for easier integration across other platforms or services. As an example, instead of calling my Bolts folder the same thing as my Zinc Coarse Thread Grade 2 Hex Bolts folder, call my Bolts folder the great grandparent and my subfolder the great grandchild. - There isn't directly an ability to link Akeneo platforms to my knowledge. This would be a great feature to add for customers who may have customers of their own that also use Akeneo. In our case, we have a fairly large customer of ours currently implementing Akeneo, and it would be extremely streamlined for both parties if we had some connection capability which fed their system with our product data directly. - I guess maybe the inconsistency in the auto generation of labels/codes? Certain label fields will automatically create codes for you, while others require a manual input. This leads to inconsistent code formatting across the PIM, which isn't necessarily a bad thing but does look a little clunky on an export.

import / export profil management of users rules, more automation and possibility to copy/paste data between product model to simple product

1) Limitations in variant model structure for apparel The inability to support more than 3 variant axes (when Shopify also restrics variants) required compromises in product modeling 2) Asset management constraints and transformation limitations Lack of built-in automated resizing pipelines, inconsistant format conversion, and limited segmentation options created operational challenges for our image ecosystem 3) Lack of native multi-business unit support (until upcoming roadmap) Our multi-brand environment required workarounds for permissioning, asset filtering, and content segregation 4) High dependency on precise attribute mapping and external integrations Small inconsistencies between systems (FlexPLM - Informatica - Akeneo - Shopify) required extensive cleanup and validation