When updating thousands of NetSuite item prices, both SuiteScript and CSV import hit significant limitations that slow you down and create errors.
Here’s how each method compares and why there’s a better third option for large-scale price updates.
Handle thousands of price updates more efficiently using Coefficient
Coefficient provides a third option that combines the benefits of both SuiteScript and CSV import while avoiding their major limitations. You get the speed you need without the complexity or error-prone processes.
How to make it work
Step 1. Use SuiteQL Query for large datasets without rate limit concerns.
Unlike SuiteScript’s 15 base API calls (+10 per SuiteCloud Plus license), Coefficient’s SuiteQL Query method handles up to 100,000 rows per query. This means you can process thousands of price updates without hitting NetSuite’s API rate limits.
Step 2. Get real-time validation that CSV imports can’t provide.
The API-based connection validates price formats and dependencies before changes are committed. You catch formatting errors and relationship issues immediately instead of discovering them after a failed CSV import that wastes your time.
Step 3. Make bulk changes using familiar spreadsheet functions.
Edit thousands of prices using standard spreadsheet formulas and functions. Apply percentage increases, tier-based pricing, or complex calculations across your entire item catalog without writing custom SuiteScript code or dealing with CSV formatting requirements.
Step 4. Monitor results with automated refresh capabilities.
Set up scheduled updates to monitor your price changes and their impacts on NetSuite performance. This eliminates the maintenance overhead that comes with custom SuiteScript solutions while providing better error handling than CSV imports.
Skip the limitations and get better results
This approach handles large-scale price updates more efficiently than SuiteScript and more safely than CSV imports. You get the speed and reliability you need for thousands of items without the technical complexity. Try this more efficient method today.