Journals coming from integration with duplicate do...
# ask-stanley-ai
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Journals coming from integration with duplicate document number what is the reason behind this
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AI generated answer (using internal Slack threads):
The reason behind journals coming from integration with duplicate document numbers could be due to a glitch in the integration process or a manual error. If the integration process is not properly validating the uniqueness of document numbers before creating journal entries in NetSuite, it could lead to duplicates. In some cases, the integration might be re-running due to an error or interruption, and if it doesn't have a mechanism to check whether a journal entry has already been created for a particular document, it could create a duplicate entry. Another possibility could be a manual error where someone accidentally triggers the integration process more than once, leading to duplicate entries. To fix this, you can reverse the duplicated journal using the same date as the journal was created. This can be done by checking the Reverse box and putting the same date. This can also be done via CSV. To prevent this from happening in the future, you can create a saved search to find duplicate journals that were created from the same originating transaction. Use a summary of 'Count' for document number/internal id of the journal in results. Use a summary of Group for the originating transaction field. Apply a summary criteria where count of document number/internal id is greater than 1. This should help you identify any potential duplicates. ****** 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: 0.822092533
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.807055175
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.805542648
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