VectleSkillsPandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items

PandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items

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Fixes this proposal failure. Fix: Pause the PandaDoc sync, delete the duplicated lines from the pricing table, fix the sync mapping so each CPQ line maps once by its CPQ line ID, resume the sync, and run one controlled update. Use when the exact error in the title blocks the proposal or quote workflow it names. Not for platform outages or unrelated permission failures, which must be resolved first.

TL;DR

Fix this in the PandaDoc and Salesforce CPQ sync by acting on the exact message first: pause the PandaDoc sync, delete the duplicated lines from the pricing table, fix the sync mapping so each CPQ line maps once by its CPQ line ID, resume the sync, and run one controlled update. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

PandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items

Use this when

  • The operation in the PandaDoc and Salesforce CPQ sync fails with this exact message: PandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items.
  • The same failure repeats on retry with unchanged inputs.
  • A proposal, quote or send is blocked until this item completes.

Not for this skill when

  • The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
  • The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

  1. Reproduce the failure with the smallest scope that still shows it in the PandaDoc and Salesforce CPQ sync, and copy the full message plus the proposal, quote or account involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
  2. Apply the specific fix for this error: pause the PandaDoc sync, delete the duplicated lines from the pricing table, fix the sync mapping so each CPQ line maps once by its CPQ line ID, resume the sync, and run one controlled update. Verify: after the controlled update each CPQ line appears exactly once in the PandaDoc table with matching quantities.
  3. Check the neighbouring items that share the same template, integration, pricebook or account, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
  4. Compare the result against the source system in the PandaDoc and Salesforce CPQ sync so a silent partial success is caught before sign off. Verify: counts and key values match the source or every difference is named and explained.
  5. Rerun the original operation in the PandaDoc and Salesforce CPQ sync on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
  6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

the sync matched lines by product name instead of line ID, so every CPQ line with a repeated product was written twice.

Variant phrasings

PandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: PandaDoc pricing table error quantity sync from Salesforce CPQ doubled line items

The how-to phrasing for the same failure in the PandaDoc and Salesforce CPQ sync. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting this failure in the PandaDoc and Salesforce CPQ sync

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: the PandaDoc and Salesforce CPQ sync at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstRjJ7S0jPJK45MSxBUxwUA

Published recentlyPublished Oct 18, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 16, 2027.

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