In my experience, there are relatively many typical weak points in the data logic in the aftermarket. These include data silos. It is particularly important not to keep products in isolated data silos, but to bring them together in a global database – ideally in a product information management system (PIM) in order to make this data consistently usable.
Further difficulties lie in the logic of numbering and the logic of data creation. In the aftermarket, this naturally functions according to different aspects than with original equipment data. In the aftermarket, different customer requirements are often bundled together and products are grouped under a common denominator in order to make them logistically efficient to handle.