How to manage co-packer production runs on Starch

Ops & Supply1 roles covered3 Starch apps

Managing a co-packer production run means coordinating ingredients, packaging, specs, and timing across an organization you don't control — and then reconciling what actually came out against what you expected. You're sending purchase orders, confirming production dates, tracking yield, and hoping the invoice you get at the end matches what you shipped in and what got palletized out. When something slips — a spec change that didn't make it to the line, a yield that ran 8% short, an invoice for a run quantity that doesn't match your records — you find out late, usually when a customer order is already at risk. What this looks like in practice varies: a solo founder running two SKUs with one co-man has different pressure points than a brand with five facilities and seasonal runs across multiple formats. But the core problem is the same — too much visibility depends on someone at the co-packer responding to your email. On Starch, you get a production calendar that's always current, purchase orders that generate from your demand forecast, and yield variance flagged before it becomes a billing dispute. The apps built for this workflow — Co-Packer Manager, Inventory Planner, and Lot Tracker — are currently in development; you can request beta access today. Describe what you need and Starch builds it around your co-packer relationships, your SKUs, and how you actually track a run.

Ops & Supply1 roles covered3 Starch apps
Context

Why it matters

Why this is hard today

A missed production window or unresolved yield variance can cascade fast: stockouts on a retail shelf, late POs to your co-packer, and ingredient inventory that doesn't line up with your next scheduled run. On the other side, operators who know exactly what's in production, what came out, and what it cost can negotiate better run quantities, catch shrinkage before it becomes a pattern, and close their books without a week of back-and-forth with the co-man's accounting team.

Watch out for

Common pitfalls

Where this usually goes wrong

Relying on email threads to confirm spec versions — so when a formula changes, the co-packer runs last month's sheet. Reconciling invoices against purchase orders monthly instead of per-run, which lets billing errors compound. Tracking yield at the batch level but not comparing it against historical variance, so a slow creep in shrinkage goes unnoticed until it's a margin problem. Keeping ingredient inventory and finished goods in separate spreadsheets that nobody reconciles until a stockout forces it.

Toolkit

Starch apps used

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