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Track production orders against sourcing reality

Track production schedules against supplier output. Compare against target quantities and delivery dates. Flag at-risk production orders before they miss the floor.

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The prompt

I want to track production orders and sourcing status across our manufacturing partners. Can you build me a flow that pulls production schedules and supplier outputs from our PLM and ERP, compares them against target quantities and delivery dates, and flags any at-risk or delayed production orders?

Just copy and paste the prompt into a new Parabola flow to get started.

What Parabola builds

A workflow with seven steps you can edit:

1. Pull the production schedule from your PLM. Style, color, size, target quantity, factory, ship-from, ex-factory date, in-DC date.

2. Pull supplier output from your ERP. Cut, sew, packed, shipped quantities by PO line. NetSuite, SAP, or whichever ERP holds the receipt.

3. Join PLM target to ERP actual. One row per PO line per SKU, with target quantity, output to date, and the delta.

4. Calculate days to milestone. Days to ex-factory, days to in-DC, days late or early per line.

5. Score risk. A PO is on track, watch, or at risk based on output pace versus calendar pace and the delta to target quantity. The thresholds are configurable.

6. Roll up by factory and program. Same flow produces a factory scorecard, a program summary, and a line-level detail view so each audience sees the cut that matters to them.

7. Output the report. Live dashboard, an at-risk list for the merch and sourcing team, and a notification when a PO crosses from watch to at risk.

Why teams stop doing this manually

Sourcing reporting lives in two systems that were never designed to talk to each other. The PLM holds the plan: what you ordered, when you need it, what the cost was supposed to be. The ERP holds the reality: what the factory actually cut, what the supplier actually shipped, what arrived at the DC. Reconciling the two is somebody's whole Tuesday.

The manual version is one sourcing analyst pulling exports, lining them up by PO line and SKU, and emailing a status report. By the time the report goes out, the in-DC date has already slipped on three programs and the floor is short on two SKUs. The team is reading history, not steering production.

When the report is live, the conversation moves upstream. The merch team sees which programs are at risk before they cancel the marketing push. Sourcing sees which factories are running ahead or behind so they can renegotiate the next round. Finance gets a clean view of in-progress inventory for the close instead of an estimate.

How it works

Step 1. Paste the prompt.

Open Parabola, paste the prompt in section 2, and let it ask follow-up questions about your PLM structure, your ERP receipt logic, and how your factories report cut and sew status.

Step 2. Connect your data.

API connections to your PLM and your ERP. Optional: a shared spreadsheet your factories update with daily output, or a vendor portal that exposes production status.

Step 3. Run it on a schedule.

Daily for active production windows, weekly otherwise. The flow rebuilds the PO-line view, recalculates risk, and pushes the dashboard. New PO? It picks it up on the next run.

Related prompts

FAQ

What if our PLM is a spreadsheet?

Fine. The flow treats the spreadsheet as a source, the same way it would treat a PLM API. Plenty of teams start there. The reporting works either way.

How does the flow handle multiple factories and multiple programs?

Each PO line is tagged with factory, program, and season at the join step. The roll-up splits automatically. A factory scorecard, a program scorecard, and a season scorecard come out of the same run.

What counts as at risk?

You define the rule. The default is a combination of output pace versus calendar pace, plus days to the next milestone, plus delta to target quantity. Each threshold is editable.

Can we share the report with our factories without giving them ERP access?

Yes. Use a gated output view that each factory can see only for their own POs. Most teams send a weekly summary by email or share a Parabola Table with row-level filters.

How is this different from a PLM dashboard?

The PLM dashboard shows the plan. This flow shows plan versus reality, joining PLM targets to ERP actuals. Teams use it on top of the PLM rather than instead of it.
Production reporting that updates itself.
Paste the prompt, connect your PLM and your ERP, and let the at-risk list refresh on its own.
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