SDCS-BW: tracking down the right algorithms for successful multilabel product classification

SDCS-BW: tracking down the right algorithms for successful multilabel product classification

Published June 2020.

 

A large amount of data is generated in modern e-commerce systems – especially when department stores fill their large warehouses and products from supplier lists are to be integrated into the in-house product information system. On the way from the supplier list into the Product Information Management (PIM) system, data is processed in a partially automated way.

On the basis of the algorithms examined in the potential analysis, the team of experts prepared an ideal database with maximum possible information content and trained three models for use in so-called flat product classification. Thanks to the close cooperation between the experts and the development team and the associated coupling of know-how, priceintelligence was able to implement a successful and solid process for automatic product classification in a timely manner.

Data Innovation Community

Industrie 4.0

Project partner

Price intellegence, Smart Data Solution Center Baden-Württemberg

Contact

Project duration

July 2020 – October 2021

External Links

The full SDSC Success Story