posWise Content Enrichment System (CES)

The Content-enrichment-system (CES) is a cloud-based solution that bundles imported product data and enables the user to individually enrich the data by adding more information to match the marketplaces criterias to go live.

With this data solution users can enrich their product data once to fulfill the product data requirements based on one or multiple marketplaces without the hassle of studying every marketplace’s demands.

The CES helps customers to centralize all the product data in one plattform. All the different categories, media assets, descriptions and selling points can be edited and approved there and then exported simultaneously to the marketplaces.

Because all the different marketplaces have their own requirements, the CES automatically exports the right data set to the corresponding marketplace.

The CES helps to visualize the product data and guides the user through different sections such as categories, media assets, descriptions and selling points. The user can check in each section whether its previously imported data has been correctly displayed and add information if needed. The CES is able to translate and standardize customer-specific information for multiple marketplaces.

The CES is capable of handling different languages and supports a fast internationalization for the manufactures and tier brands.

In the last 3 months we developed a brand new application, revolutionizing the process bringing products live onto the marketplaces. Since marketplaces currently tend to strengthen their positions in regard to rules, technology, APIs and content quality, keeping up with the changes needs a flexible and scalable software product. Based on AWS, Kubernetes, EventDriven Microservices and a modern UI this new software platform will be a game changer in the marketplace integration sector.

Data driven decisions are our main focus. We are using a single unique data model for serving all our marketplaces, which enables our customers to just map once. These very unique mappings enable us to develop services based on statistical rules and deep learning and remove the normally very manual process of mapping data to each marketplace.

The most innovative part for the next few months will be an integration of intelligent media services, analyzing media information and supporting article description, categorization and tagging.

We currently have no case studies, but we are in the position to share a few press releases and rating sites from customers, that bought through us: https://www.e-commerce-magazin.de/lagerhaltung-wie-onquality-die-anforderungen-von-online-marktplaetzen-erfuellt/ https://www.amazon.de/sp?seller=A1LILMYZK4FW62

We currently have no public user feedback pages, but we are in the position to share a few press releases and rating sites from customers, that bought through us: https://www.e-commerce-magazin.de/lagerhaltung-wie-onquality-die-anforderungen-von-online-marktplaetzen-erfuellt/ https://www.amazon.de/sp?seller=A1LILMYZK4FW62

https://www.onquality.de/