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Data flow: DeSL ? Akeneo
When a product reaches a market-ready stage in DeSL, approved product attributes such as style code, season, color, size range, materials, care instructions, and compliance details are synchronized to Akeneo. This gives merchandising, ecommerce, and channel teams a single source of truth for commercial product content without waiting for manual re-entry.
Business value: Shorter launch cycles, fewer data errors, and faster readiness for digital and retail channels.
Data flow: DeSL ? Akeneo, Akeneo ? DAM, DAM ? Akeneo
DeSL can provide product context and lifecycle status to Akeneo, which then links the product to approved assets stored in DAM such as line sheets, lookbooks, technical drawings, and installation or care guides. Akeneo can also push product metadata to DAM so assets are tagged consistently by style, collection, season, and channel usage.
Business value: Better asset discoverability, consistent product storytelling, and reduced time spent searching for approved content.
Data flow: Bi-directional
DeSL manages product development and supply chain data, while Akeneo manages enriched product information for downstream channels. A bi-directional integration can keep shared fields aligned, such as product identifiers, variant structures, dimensions, composition, and status changes. This prevents conflicting records between development, operations, and commercial teams.
Business value: Improved data accuracy, fewer duplicate updates, and stronger governance across product teams.
Data flow: DeSL ? Akeneo ? CMS, commerce, and syndication platforms
Once DeSL confirms product development milestones are complete, Akeneo can receive the finalized product data and enrich it for channel-specific publishing. The approved content can then be distributed to ecommerce sites, online catalogs, marketplaces, and brick-and-mortar retail systems through Akeneo?s syndication processes.
Business value: Faster omnichannel launch execution, fewer manual handoffs, and more consistent product content across channels.
Data flow: DeSL ? Akeneo ? print management systems and downstream documentation tools
DeSL often contains technical and compliance-related product information needed for regulated or detail-heavy categories. That data can be synchronized into Akeneo and then used to generate product spec sheets, care labels, installation guides, and other documentation through print management systems. This is especially valuable for fashion, footwear, accessories, and retail products with strict labeling requirements.
Business value: Reduced compliance risk, automated document creation, and fewer errors in customer-facing materials.
Data flow: DeSL ? Akeneo
DeSL can provide season, collection, range, and assortment structure to Akeneo so product content is organized around commercial planning cycles. Akeneo can then use that structure to manage localized descriptions, channel-specific copy, and asset associations for each collection before publishing to sales channels.
Business value: Better seasonal coordination, improved assortment visibility, and more efficient content preparation for launches.
Data flow: DeSL ? Akeneo
As product development progresses in DeSL, key status updates such as sample approved, materials confirmed, production ready, or discontinued can be sent to Akeneo. This allows content teams to know which products are ready for enrichment, translation, and publication, and which should be held back from channels.
Business value: Better launch control, fewer premature publications, and clearer coordination between product development and commercial teams.
Data flow: DeSL ? ERP, DeSL ? DAM, Akeneo ? DAM
DeSL already integrates with ERP and DAM through OneTeg, and Akeneo can also synchronize with DAM to manage enriched asset metadata. Together, the platforms can support a connected workflow where DeSL manages development and supply chain data, ERP manages operational and financial data, DAM manages approved assets, and Akeneo manages enriched product content for publishing.
Business value: End-to-end product data consistency, fewer disconnected systems, and a more scalable digital product operating model.