When importing customer master data addresses using Data Management Framework (DMF) via Data management > Import, the system currently links the zip code on the customer address to the first found zip code when the same zip code ID exists multiple times with different street number ranges.

Issue:

1. This behavior can lead to incorrect zip code associations, especially in regions where multiple zip codes cover overlapping areas but differ by street number ranges.
2. Instead of intelligently matching the zip code based on the street number of the customer address, the system requires the user to manually select the correct zip code ID based on the street number of the customer address which is impractical and inefficient when dealing with large volumes of customer data.
3. Although the out-of-the-box solution allows zip codes to be categorized as odd/even/all street numbers with a defined range, it does not support correct associations automatically resulting in compromised data accuracy.

Proposed Enhancement:

DMF import logic should be updated. Additional criteria of street number matching should be included.

Benefits:

This would ensure a better alignment with regional postal code standards, data accuracy, accurate geo coordinate validations and improve downstream processes like tax calculation, delivery routing, and compliance.