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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Transfer order replenishment analysis requires historical data with precise timestamps to identify patterns, measure performance, and maintain audit trails. Current-state data misses the temporal context needed for strategic improvements.
Here’s how to export comprehensive transfer order history with all relevant timestamps for thorough replenishment analysis and compliance documentation.
Export complete historical data with timestamps using Coefficient
Coefficient extracts NetSuite transfer order history with proper timestamp formatting, enabling time-based analysis and audit trail documentation. All dates import as Excel date values for immediate analysis.
How to make it work
Step 1. Access historical transfer records.
Import from NetSuite → Records & Lists → Transfer Order and remove date filters to access full history, or set specific historical date ranges for focused analysis periods.
Step 2. Include essential timestamp fields.
Select system timestamps like Date Created, Last Modified Date, and status change dates. Add operational timestamps including Ship Date, Expected Ship Date, Receipt Date, and Expected Receipt Date for complete timeline visibility.
Step 3. Capture status change history.
Use SuiteQL to track status transitions with user information: SELECT t.tranid, t.createddate, t.lastmodifieddate, systemnotes.date as status_change_date, systemnotes.name as changed_by FROM transferorder t LEFT JOIN systemnotes ON t.id = systemnotes.recordid
Step 4. Add line-level historical data.
Include quantity changes over time, partial shipment timestamps, receipt confirmations by line, and variance documentation for comprehensive item-level history.
Step 5. Enable historical analysis.
Calculate average fulfillment times by location, analyze historical replenishment frequency, identify seasonal transfer patterns, and track lead time trends using the timestamp data.
Unlock powerful historical insights
Historical timestamp data enables retrospective analysis of replenishment patterns, performance metrics, and process improvements over time. Excel’s date functions work seamlessly with the imported timestamps for aging analysis and trend calculations. Export your historical data and discover patterns that drive better replenishment decisions.
