Akeneo unveils first AI agent & analytics tools for product data
Akeneo has announced the launch of its Data Architect Agent (DAA), its first artificial intelligence agent, as well as enhancements to the PX Insights Channel Analytics Suite, with a focus on preparing businesses for developments in AI-powered commerce.
The Summer 2025 announcement brings a set of updates that aim to streamline the implementation of Akeneo's Product Information Management (PIM) and Product Cloud solutions. The new technologies are specifically designed to reduce the time and complexity associated with building and evolving product data models, and to enable ongoing optimisation based on shopping signals from digital commerce channels.
AI for product data modelling
Central to the release is the Data Architect Agent, described as leveraging Akeneo's experience in product modelling to produce accurate, manageable data models in a significantly shorter timeframe. DAA aims to allow companies - including brands, retailers, and manufacturers - to launch or restructure their product catalogues at scale without loss of data quality or control.
Andy Tyra, Chief Product Officer at Akeneo, explained the impact of the new technology:
"Our agentic AI is purpose-built to solve the single biggest pain point in product data management - modelling. DAA lets teams design flexible models once and adapt forever, turning product data from a slow-moving liability into a fast, flexible, strategic AI-powered asset."
The company states that the enhancements to Akeneo Product Cloud extend the capabilities of the Data Architect Agent, specifically in governance, flexibility, and adaptability. Among the features are AI-Powered Product Enrichment, which extracts structured data from images and PDFs to automate and speed up SKU creation, thus reducing manual work.
The addition of Composable Products offers a new method of modelling product bundles, kits, and modular components, shifting from traditional associations to a more scalable system that supports enterprise needs. Attribute Type Migration enables conversion of attribute types - such as moving from plain text to localised rich text or measurement attributes - during the product lifecycle, helping businesses respond to evolving requirements without needing to define a perfect model at the start.
These combined updates are targeted at allowing commercial teams to maintain accurate and well-governed product data while reducing time and manual effort.
Improving product visibility in AI-driven commerce
Updates to Akeneo's PX Insights Channel Analytics Suite further bolster data-driven product management. PX Insights connects customer behaviour, sentiment, and real-world shopping data directly to business product records, giving companies a measurable way to improve engagement and performance.
The Summer 2025 update introduces AI Discovery Optimisation, which analyses the way products are understood and recommended by generative AI shopping assistants, including platforms using AI conversational agents. This enables teams to refine product content and structure so that it is better suited to visibility and relevance within AI-powered recommendation engines.
An additional feature, the Google Shopping Optimisation Dashboard, has been designed to highlight data gaps in product listings and campaign performance. By leveraging these insights, organisations can make targeted improvements to boost conversion rates and return on investment.
The company said these enhancements reflect Akeneo's focus on building product experience capabilities that adapt to the persistence of AI and intent-based discovery in commerce channels.
According to Akeneo, these new capabilities aim to ensure that product data governance and enrichment keep pace with changes in consumer shopping habits and AI-assisted product discovery.
Rollout details
Akeneo reports that its Summer 2025 Release - including access to the AI agent and upgraded analytics features - will be available to customers of its Product Cloud solution globally from 12 July 2025.
