SuiteScript Data Correction Automation — Auto-Fixing Common Integration Errors

Introduction

Reconciliation (Blog 79) helps identify data mismatches — but fixing them manually can still take hours.
SuiteScript automation can repair these issues automatically and safely, turning your integrations into self-maintaining systems.

In this blog, we’ll cover:

• How to detect fixable errors.
• Auto-correction logic using SuiteScript.
• Rollback and safety controls.
• Validation after correction.

🎯 What Is Auto-Correction Automation?

It’s a scheduled or Map/Reduce script that:

1. Reads mismatched records from a reconciliation log.
2. Validates that a fix is safe.
3. Performs the correction (update, recreate, or delete).
4. Logs the change for audit and notifies admins.

⚙️ 1. Custom Record for Tracking Fixes

Create: customrecord_auto_fix_log

✅ Keeps every automated fix auditable.

🧩 2. Sample Map/Reduce Script — Auto-Fix Mismatched Totals

/**
 * @NApiVersion 2.1
 * @NScriptType MapReduceScript
 */
define(['N/search','N/record','N/runtime','N/log'], (search, record, runtime, log) => {

  const getInputData = () => search.create({
    type:'customrecord_reconciliation_log',
    filters:[['custrecord_status','is','UNMATCHED'], 'AND', ['custrecord_source_system','is','Shopify']],
    columns:['custrecord_diff','custrecord_extid','custrecord_nsid']
  });

  const map = (ctx) => {
    const data = JSON.parse(ctx.value);
    const diff = JSON.parse(data.values.custrecord_diff);
    try {
      if (diff.type === 'Amount Mismatch') {
        const so = record.load({ type: record.Type.SALES_ORDER, id: data.values.custrecord_nsid });
        so.setValue('custbody_total_verified', diff.shopify);
        so.save();
        record.create({ type:'customrecord_auto_fix_log' })
          .setValue('custrecord_error_type','Amount Mismatch')
          .setValue('custrecord_fixed_record', data.values.custrecord_nsid)
          .setValue('custrecord_action','Updated total from Shopify')
          .setValue('custrecord_fix_status','Success')
          .save();
      }
    } catch(e){
      log.error('Auto Fix Failed', e);
    }
  };

  return { getInputData, map };
});

✅ Automatically updates mismatched totals using Shopify data.
✅ Logs every action in customrecord_auto_fix_log.

🧱 3. Other Fix Types

🧩 4. Rollback Safety

Add rollback control to prevent unwanted overwrites:

if (so.getValue('custbody_total_verified') !== diff.ns) {
  throw Error('Data changed since reconciliation. Skipping auto-fix.');
}

✅ Prevents overwriting updated or manually fixed records.

📧 5. Post-Fix Notification

After all fixes:

email.send({
  author: -5,
  recipients: ['integration.admin@company.com'],
  subject: 'Auto-Fix Summary',
  body: `Completed ${successCount} fixes. ${failCount} failed.`
});

You can also post results to Slack (reuse from Blog 75).

🔍 6. Validation After Correction

Re-run the reconciliation search or test framework (Blog 78) automatically after fixes:

task.create({
  taskType: task.TaskType.SCHEDULED_SCRIPT,
  scriptId: 'customscript_reconcile_validation'
}).submit();

✅ Confirms fixes actually resolved discrepancies.

🧠 7. Governance & Performance

• Use Map/Reduce for large fix batches.
• Yield when usage < 200 units.
• Add checkpoint logging every 100 records.
• Skip already fixed entries.

🔒 8. Best Practices

✅ Example Output

Conclusion

Automated data correction closes the loop of integration quality management.
Your system now not only detects errors but repairs them safely and transparently — cutting manual reconciliation time to minutes.

When combined with your existing monitoring and QA framework, it creates a self-healing integration ecosystem inside NetSuite.