In the context of saved searches, what does "NOT" logic do?

In the context of saved searches, "NOT" logic is fundamentally used to exclude specific records or transactions from the search results based on defined criteria. When users apply a "NOT" condition, they are specifying that they do not want to see records that meet the criteria that follows the "NOT" keyword. This is particularly useful when you want to filter out certain entries, ensuring that the results returned only include those that do not match the given condition.

For example, if a user is searching for sales orders but wants to exclude any records from a particular customer, applying "NOT" followed by the customer's identifier will effectively remove those orders from the search results. This allows for more refined data analysis and reporting by focusing on the relevant datasets without unwanted entries.

While other options describe different functionalities typically associated with searches or data filtering, they do not reflect the exclusionary function that "NOT" logic specifically provides in saved searches.