YASSER
12/01/2024, 8:50 AMCeligo AI
12/01/2024, 8:50 AMAI generated answer (using internal Slack threads):To build an inventory aging report in NetSuite using a Suitelet, you would need to create a custom Suitelet script. However, it's important to note that this process can be complex and may require a good understanding of SuiteScript and NetSuite's data structure. Here's a general approach you can take: 1. Create a Suitelet: Start by creating a Suitelet in NetSuite. This will serve as the main interface for your report. 2. Fetch Inventory Data: Use SuiteScript's search API to fetch the necessary inventory data. This might include item details, quantities, and transaction dates. You might need to create a complex search to get all the necessary data. 3. Calculate Age: For each inventory item, calculate the age based on the transaction date. This might involve comparing the transaction date with the current date and determining the difference in days, weeks, or months. 4. Generate Report: Use the fetched data and calculated ages to generate the report. This might involve grouping items by age range (e.g., 0-30 days, 31-60 days, etc.) and calculating totals for each group. 5. Display Report: Finally, use SuiteScript's form API to display the report in the Suitelet. This might involve creating a sublist on the form and populating it with the report data. Please note that this is a high-level approach and the actual implementation might vary based on your specific requirements and NetSuite setup. ****** 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
12/01/2024, 8:50 AMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.830863714
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.821739912
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.819761097
Celigo AI
12/01/2024, 8:50 AM