Is there a way to customize this dropdown list in ...
# ask-stanley-ai
m
Is there a way to customize this dropdown list in NetSuite? Right now, in the ‘Customer’ field, the list displays entries in the format: Customer Number : Additional Text (e.g., project name or description). I would like the dropdown to only show the customer name without the extra text after the colon. Would it be possible to achieve this by modifying the Preferred Form, or is there another way to filter/customize this field?
c
AI generated answer (using internal Slack threads):
Based on the conversations, it seems that you can customize the dropdown list in NetSuite to some extent. However, the specific customization you're asking for, which is to only show the customer name without the extra text after the colon in the 'Customer' field, may not be directly achievable through the Preferred Form or by filtering the field. One way to achieve a similar result is by using a custom field sourced from the customer list but with specific criteria. You can hide or move the native customer field and when the user selects the custom field, it copies to the hidden native field and native NetSuite takes over from there. Another way is to use the field's Sourcing and validation option. You can also use dependent dropdown lists instead of scripting. However, these methods may not exactly provide the result you're looking for, as they don't directly modify the existing 'Customer' field but rather work around it by using custom fields or other options. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.837852776
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.837719
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.836214185
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