How to find a co-packer for your FMCG product in 2026
The conventional co-packer search takes weeks of trade fairs, spreadsheets and cold calls. Here is the two-minute path with an AI assistant, plus how to verify every supplier claim.
Finding the right co-packer is one of the highest-leverage decisions an FMCG brand makes. It is also one of the slowest: the conventional search runs through trade fairs, broker spreadsheets and personal networks, and typically takes two to six weeks before you hold a qualified shortlist.
Why the traditional search is slow
Three structural problems:
- No canonical directory. Contract manufacturers, co-fillers and co-packers are scattered across trade associations, LinkedIn and PDF catalogues. There is no GS1-style registry of “who can actually make my product”.
- Unverifiable claims. A supplier’s website says “certified”. Which certification, issued when, against which audit? Without a source on every claim, procurement teams re-verify everything manually.
- Wrong tooling. The search happens in email and Excel, while the actual knowledge lives in PDFs, product spec sheets and someone’s memory.
The AI-native path
An AI assistant connected to a structured supplier network changes the shape of the work:
- You describe what you need in plain language (“I need a co-packer in North Rhine-Westphalia for a chilled vegan spread, organic certified, minimum order 5,000 units”).
- The assistant queries the network’s Business Capabilities, filters by segment, region and certification, and returns a ranked shortlist.
- Every record carries a source URL and a data-quality label (
beta,reviewedorgold), so verification is a click instead of a phone call.
What to check before you sign anything
Even with a good shortlist, keep this checklist:
| Check | What good looks like |
|---|---|
| Certifications | IFS/BRC (food), ISO 22716 (cosmetics), issued within 12 months |
| Capacity | MOQ, lead time and changeover flexibility confirmed in writing |
| Regulatory | Novel Food status checked for EU market entry where relevant |
| Data quality | Supplier record is reviewed or better, or discrepancies flagged |
Run it yourself
The Supplier Discovery capability does exactly this against a curated dataset of suppliers across DACH + PL + NL. Install fmcg.network in your AI client, then ask:
“Find co-packers for a chilled vegan spread, organic, MOQ under 10,000 units, DACH region.”
You will get the shortlist, the sources and the data-quality labels in about two minutes.
FAQ
Is the data really current? Every record carries its collection timestamp. Records below the capability’s confidence threshold are flagged for review rather than presented as fact.
Does it replace a broker? It replaces the discovery part of what a broker does. Negotiation and audits remain human work.