How do I filter a saved search by month?
# ask-stanley-ai
a
How do I filter a saved search by month?
c
AI generated answer (using internal Slack threads):
To filter a saved search by month in NetSuite, you can create a custom field that truncates the transaction date to only include the month and year. This custom field can then be added to your saved search as a filter. Here's a step-by-step guide: 1. Navigate to the custom field creation page in NetSuite. This can typically be found under Customization > Lists, Records, & Fields > Transaction Body Fields > New. 2. Create a new custom field. You can name it something like "Transaction Month/Year". 3. In the formula field, use a formula to truncate the transaction date to only include the month and year. This can be done using the TO_CHAR function in SQL. Here's an example formula:
TO_CHAR({trandate}, 'MM/YYYY')
. This will format the transaction date to only include the month and year. 4. Save the custom field. 5. Navigate to your saved search and add the new custom field as a filter. You can do this by going to the Criteria tab in the saved search, clicking on Filter, and selecting your new custom field. 6. In the filter criteria, you can now select the specific month/year you want to filter by. Remember, this method will only work if the transaction date is being stored in a field that can be accessed by the saved search. If the transaction date is not being stored in such a field, you may need to create a new field to store this information or modify your saved search to include this information. ****** 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: 0.858703673
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.84198004
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.83605969
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