In recognition of their innovative approach to streamlining product data management and accelerating time-to-market, SellerX was honored with the 2025 Accelerator Award.
Having product data centralized in one place allowed us to list every product on every marketplace, regardless of brand or responsible persons. Through cross-linking product data and efficient enrichment, we are now able offer our customers every product on their favourite marketplace.
SellerX, Europe’s leading aggregator of eCommerce companies, is a rapidly expanding VC-backed startup managing over 80 Amazon-native consumer brands. They specialize in acquiring top-performing Amazon FBA and other eCommerce businesses, driving growth, and establishing a new global standard for consumer goods.
In recognition of their innovative approach to streamlining product data management and accelerating time-to-market, SellerX was honored with the 2025 Accelerator Award. This accolade highlights their commitment to operational excellence and their ability to swiftly adapt to the evolving eCommerce landscape.
The complexity is very difficult to map using flat files, i.e. file uploads, and is almost impossible to control. This leads to a high level of manual effort on the one hand and increases the risk of errors on the other.
SellerX relied on manual uploads of product data via flat files compiled from various marketplaces, which was a time-consuming, error-prone, and unsustainable process. Each marketplace had its unique requirements, and the lack of a centralized data source prevented cohesive collaboration. Smaller acquired brands often lacked a PIM, further complicating data management.
The team also faced challenges in managing constant changes on marketplaces and the complexity of diverse product categories. The manual upload process, while initially fast, was not scalable and increased the risk of errors, such as incorrect uploads to the wrong country, which could have significant negative consequences. This triggered the need for a more efficient and scalable solution.
We have used the Akeneo Akademy to create our initial vision for the integration of Akeneo. It was essential to quickly understand the structure of the PIM and develop a plan for how our integration could succeed. We had no problems and no surprises during the migration of all products to Akeneo. The final data structure is exactly as in the vision created after completing all relevant academy courses.
Having used Akeneo PIM for two years, SellerX had already laid the groundwork for efficient product data management. They successfully centralized their product data from its brand into Akeneo PIM, creating a single source of truth and enriching it with complete and accurate information. This foundational step ensured data consistency and eliminated data silos, providing a solid base for further expansion.
SellerX’s success is attributed to effectively utilizing several key features of Akeneo PIM:
To fully leverage the capabilities of the Akeneo Product Cloud, the next logical step was to implement Akeneo Activation, which enabled SellerX to connect its already enriched and cleansed product data directly to its various marketplaces, automating data syndication and unlocking new levels of efficiency and scalability.
Implementation began in August 2024. The project’s scope involved connecting numerous channels, initially focusing on Amazon across various regions and restructuring its product families based on Amazon’s Feed Product Type.
By combining Akeneo PIM and Activation, SellerX maximized the value of the Akeneo Product Cloud, creating a seamless end-to-end product data management and syndication workflow that empowered them to achieve rapid growth and efficiently manage their expanding eCommerce operations.
SellerX demonstrated remarkable agility and efficiency in leveraging Akeneo Activation to transform its operations. By embracing automation and streamlining workflows, they significantly reduced manual effort and empowered their teams to focus on strategic initiatives.
In particular, SellerX was able to:
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