The Data Architect Agent (DAA) empowers new customers to quickly establish their product data structure in Akeneo PIM.

By leveraging AI, it automatically generates an accurate data model based on your catalog extract, while streamlining the PIM initialisation and reducing the time to go live.
 
 

Check out our latest improvements!
 

Existing data model audit

(October 22nd)

We've enabled the ‘Audit’ tab to work for existing PIM configurations as well.This provides immediate value to current customers by allowing them to review and analyze the structure of their existing data model.
 

Locale selection for technical codes


(October 20th)
We now allow users to specify a dedicated locale for entity codes to ensure full control over technical codes that can now be generated in the language required to meet specific business and technical needs.

Attribute assignment

(October 15th)

We developed an ‘Attribute Assignment’ tab to manage attributes easily.This facilitates modifications on the data model and allows users to assign attributes to their families more easily.  

Product import with a sample of products

(October 14th)
The DAA now supports importing a sample of products during the apply phase. This provides users with an immediate, visualized first version of their catalog structure, accelerating feedback and project iteration.   
 

Source file

(October 13th)
We added a 'Source File' tab to display attribute mapping. This provides greater visibility by allowing users to instantly see which attributes from their input files were successfully mapped by the DAA and which were not.
 

Data model audit tab

(September 30th)
This new improvement provides a comprehensive overview of your generated data model with key metrics (e.g., attribute distribution, properties). It also gives you a detailed breakdown of shared and family-specific attributes.
 

Increase of the file size limit

(September 26th)
We've significantly upgraded the file size limit to 120MB. This allows users to successfully upload larger data files directly from their ERP, PLM, or e-commerce platforms. 
 

Support for assets families

(September 23rd)
We now support assets by identifying and creating asset collections for your files, such as images, based on the data provided in your input file.  
 

Brand-new user interface

(September 17th)
This new UI offers a cleaner and more straightforward experience, with an improved grid display and powerful filters that make it easier to iterate on your data model.  
 

Support for reference entities with records

(August 29th)
This improvement will allow the agent to suggest reference entities and their records directly from the input file that you have uploaded.
 

Shared database for the generated models

(August 29th)
Generated models are now stored in a shared database. Each user has the right to modify the models they have created themselves. However, models generated by other users are accessible in read-only and cannot be modified.
 

Contextual follow-up questions

(August 29th)
To ensure the model is as accurate as possible and to reduce any interpretation errors, we now ask a set of targeted follow-up questions before the model is generated. This helps us better understand your needs and propose a more relevant structure from the start.
 

Detailed source explanation

(August 29th)
We've enhanced the agent's ability to provide more precise information about your input data. It now shows you the exact location of the information within the original source document, making verification and understanding much easier.
 

Reasons for creation

(August 29th)
To help our users understand the logic behind the model's choices, we've integrated a reasoning for every entity creation. This explains the agent's decisions and adds transparency to the process.