Introduction
The current way of indexing the products has its limitations., sometimes wrong products are linked to a Product Data Index product, resulting in an inability to find the right products.
Secondly, the classifications and branding of the products can be improved.
Some ideas are to develop logic to identify whether the products belonging to a Product Data Index product are really the same.
Another idea is to use the database with 2.5 MIO products with the manual knowledge of classification inside, to extract that knowledge with machine learning so not the user has to decide for a classification mapping, but the machine does.
Status
The special interest group is open for registration.
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If you want to participate please send an email to productmanagement@onetrail.com. |
