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Machine shops: connect NetSuite and Postgres outside-processing status

Machine shops that track coating and plating batches in Postgres can keep NetSuite order context attached to each sent, returned and inspected quantity.

Author
Ruben Burdin · Founder & CEO
Published
Read time
4 min read
Machine shops: connect NetSuite and Postgres outside-processing status
DATA ENGINEERING

The operating decision

A machine shop can connect NetSuite commercial records with a Postgres outside-processing tracker while preserving the operation and quantity behind each update. Model the job, subcontract step and sent lot separately. Two-way sync should make approved status available to customer service and purchasing without treating a supplier email as a completed receipt. Retain the difference between expected return, physical arrival and quality acceptance before marking downstream work ready.

Explore the complete metal fabrication and machining integration and automation hub for the systems and processes around this guide.

Summary card: NetSuite Postgres sync for machine shop outside processing

What this looks like in metal fabrication and machining

A shop sends machined parts for coating in two batches. One batch returns with a shortage, and the second is still at the subcontractor. A spreadsheet currently records a single returned status against the purchase order, making the whole customer order appear ready. A better model preserves each sent quantity, return and inspection decision. The customer-service view can then show the accepted quantity available for the next operation, while purchasing continues to follow the missing balance without creating a duplicate outside-processing order.

Records, ownership, and update rules

RecordOwnerOperating rule
Subcontract operationProduction planningIdentify the job and operation being outsourced; one customer order can require several independent outside steps.
Sent batchShippingRecord quantity, unit, dispatch evidence and the batch reference supplied to the processor.
Return receiptReceivingPreserve physical quantity and date separately from accepted quantity after inspection.
Outstanding balancePurchasingCalculate the unresolved sent quantity using documented receipts, rejects and agreed disposition.
Record ownership diagram: Subcontract operation, Sent batch, Return receipt
Define the record owner and the rule before enabling updates.

Work through the process

  1. 01
    Define the batch-level model
    Map a job to its outside operation and each dispatched batch. Keep the ERP purchase reference as one relationship rather than the only tracking key. Verify that partial dispatches and returns can be represented without overwriting prior quantities.
  2. 02
    Link the operational and commercial records
    Store NetSuite identifiers separately from generated Postgres keys. Review the existing spreadsheet history for duplicate batches and unexplained balances before loading it. A cleaner transport cannot correct a tracker whose rows describe inconsistent business events.
  3. 03
    Publish status with supporting quantities
    Calculate sent, physically returned, accepted, rejected and outstanding quantities independently. Expose the last confirmed supplier date beside the status. Let downstream planning consume accepted availability rather than an optimistic return label.
  4. 04
    Reconcile changes after interruptions
    Test a partial receipt, a corrected receipt quantity and a late rejection. Repeat the same operational update and confirm that balances do not move twice. Any ERP receipt or adjustment must use a separately verified operation and the responsible owner’s approval.
4-step operating sequence: NetSuite Postgres sync for machine shop outside processing
Follow the operating sequence; unresolved exceptions return to a responsible reviewer.

Handle the exceptions explicitly

A supplier returns more parts than expected

Hold the discrepancy for receiving and purchasing to resolve. Do not silently increase available quantity or assume the excess belongs to another batch.

Two batches use the same supplier reference

Maintain the internal dispatch identity and ask for clarification where the return cannot be assigned confidently.

A received batch fails inspection

Keep the physical receipt visible while removing the rejected quantity from readiness. Preserve the quality disposition and follow-up responsibility.

What to verify before expanding

  • Two partial returns leave the correct unresolved balance for the sent batch.
  • Repeated updates do not double-count received or accepted quantities.
  • Customer service can distinguish expected return from inspected availability.
  • A late rejection changes readiness without erasing the original physical receipt.
Book a demo for metal fabrication and machining integration and automation

Connect this process to the rest of your operation

Explore Stacksync two-way sync and scope the records and actions against your actual systems. Book a demo with a real subcontract operation example and the exception your team handles most often, for example A supplier returns more parts than expected.

The shared architecture guide covers record matching, ownership, and recovery across systems.

Technical references

Book a demo for metal fabrication and machining integration and automation

FAQ

Frequently asked questions

Is one status field enough for outside processing?
Usually it hides important differences. Sent, returned and quality-accepted quantities answer different questions, especially when work is split across batches.
Can the Postgres tracker create ERP receipts?
Only through a confirmed supported operation and an approved receiving process. A tracker update is evidence about the process, not automatic authority to post inventory.
What should the pilot include?
Choose one frequently outsourced operation and include a split dispatch, partial return, shortage and rejected batch. Those cases reveal whether the model represents the shop’s actual handoff.

About the author

Ruben Burdin
Ruben Burdin
Founder & CEO

Ruben Burdin is the Founder and CEO of Stacksync, the first real-time and two-way sync for enterprise data at scale. Ruben is a Y Combinator alumni with a strong background in software engineering and business.

All posts by Ruben Burdin

About Stacksync

Stacksync powers real-time, two-way sync between CRMs, ERPs, and databases. Engineers sync data at scale and automate workflows, not dirty API plumbing.

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