Levi Pruss
09/10/2025, 8:52 PMCeligo AI
09/10/2025, 8:52 PMAI generated answer (using internal Slack threads):Based on the conversations, it seems that you want to create a saved search that only shows kit items where all of the member items are not lot numbered. Unfortunately, the conversations provided do not contain a direct solution to this specific problem. However, they do provide some insights that might be helpful. In the first conversation, a user suggests using a formula in the results to differentiate between different item types. This could potentially be adapted to your needs by creating a formula that checks if the member items of a kit are lot numbered or not. In the second conversation, a user suggests using a case when statement to exclude certain items from the search. This could potentially be used to exclude kit items where any of the member items are lot numbered. In the third conversation, users discuss how to work with member items in saved searches. They suggest starting with columns related to member items and not using summaries to see all the data you are working with. This could potentially be helpful in your case as well, as you could start by creating a saved search that shows all kit items and their member items, and then gradually add criteria to only show the kits where all member items are not lot numbered. Please note that these are just suggestions based on the conversations provided and might not work exactly as described in your specific situation. You might need to experiment with different approaches and adjust them to your needs. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Celigo AI
09/10/2025, 8:52 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.832763672
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.820007324
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.816772461
Celigo AI
09/10/2025, 8:52 PM