The private label data problem
In private label, one physical product has to exist as several records, one for each retailer, and those records drift apart over time. Take a strawberry yoghurt made for 2 retailers. The recipe is the same, but each retailer wants its own specification template with its own requirements for nutrition rounding and claims wording. Teams keep these copies in spreadsheets and email threads. So when an ingredient supplier changes, someone has to find and update every copy by hand, and a missed copy turns into a wrong label.
The channel is big enough to make this a daily cost. NielsenIQ data for the Private Label Manufacturers Association (PLMA) puts private label at 38.8% across 17 European countries in 2025. Peggy Davies, President of PLMA, said Europe's private label "has really become a powerhouse in retail." To size your own exposure, multiply your active SKUs by the number of retailers each one ships to.
Every retailer's own format
Each retailer sets its own specification template and expects you to submit it through its own portal. The templates differ in field names and units. They also differ in how they want allergen precautionary statements worded and how much detail they ask for on packaging. A product that passes one retailer's validation can fail another's because of a single unit mismatch.
Retailers increasingly run these templates on dedicated platforms. Trace One's retail PLM is used by Carrefour and Auchan. Eroski also uses it, as do 80% of private label suppliers to the French market. Check which portals your customers use and whether they accept file exports or need manual entry. Map each retailer field to a master attribute early. A mapping problem caught in the design blueprint costs far less to fix than one found during user acceptance testing (UAT), when your team is already rekeying data.
Every retailer's own audit

Every retailer audits you against its own technical standard, which is layered on top of a food safety scheme it prefers. IFS Food is the main scheme for suppliers to German and French retailers; REWE, Edeka and Carrefour are among those retailers. In the British market, retailers lean towards BRCGS, according to a comparison by Kimobox. Both schemes test traceability and allergen control.
Auditors want to see that the specification on file matches what the line produces. They'll ask who approved the current version and when. If your specifications live as separate documents, that proof means digging through folders. A PLM record holds the version history and approvals in one place.
One record many retailer outputs
The fix is to model the product once and generate each retailer's specification from that model. The master record holds the formulation and ingredients, along with nutrition and allergen data. It also holds packaging information. Retailer templates become views of that record, so nobody keeps separate copies. C+P Consulting's specification and formulation management work builds exactly this kind of governed record. It also handles specification exchange with suppliers and customers in whatever format each customer demands.
For master data that goes beyond the technical specification, GS1's Global Data Synchronisation Network (GDSN) lets suppliers publish product data once to a certified data pool that retailers subscribe to. The table maps each sector problem to the step that solves it.
| Sector problem | What goes wrong without PLM | Step that solves it |
|---|---|---|
| Same product, several retailer specs | Copies drift after a recipe change | One governed record, retailer outputs generated from it |
| Retailer templates and portals | Teams rekey data into each portal | Field mapping per retailer, fixed in the design blueprint |
| Retailer audits | No clear version or approval trail | Approval workflow and version history on the master record |
| Label rules per market | Nutrition and allergen values worked out by hand | Regulatory and labelling calculation from the formulation |
| Legacy specs in spreadsheets | Duplicates and conflicts at go-live | Structured migration checked with analytics |
What regulations apply
Private label products follow the same laws as branded goods. The difference is that legal responsibility sits with the retailer whose name is on the pack, while the data comes from you, the manufacturer. That's why retailers pass their compliance burden down through their specification demands.
Food and drink own brands
Regulation (EU) No 1169/2011 sets EU rules on food information to consumers. That covers mandatory particulars and the nutrition declaration. It also covers allergen emphasis. Article 8 makes the business that markets the food under its own name responsible for that information. For an own-brand product, that business is the retailer. So the retailer relies on your figures being right for every market it sells into. C+P Consulting's regulatory and labelling calculation work derives these values from the formulation itself, so nobody has to re-enter them for each retailer.
Beauty and personal care own brands
Own-brand cosmetics fall under Regulation (EC) No 1223/2009, which has applied directly in every Member State since 11 July 2013. It requires a safety assessment and a product information file, and it names a responsible person for each product. Check who holds that role in each retailer contract. Then make sure your PLM can produce the ingredient data the file needs.
Which PLM fits private label
The best fit for a private label manufacturer is a manufacturer-side PLM with strong formulation management and the ability to produce output for several customers. Retailer portals alone won't do the job, because each one only knows its own copy of your product. Judge every option on whether it keeps one product record and whether it can generate each retailer's format from it.
| Option | One product record | Per-retailer outputs | Label calculation | Audit trail | Suits |
|---|---|---|---|---|---|
| Spreadsheets plus retailer portals | No | Manual rekeying | Manual | Weak | Very small ranges, 1 or 2 retailers |
| ERP recipe module | Partial (recipe only) | Rarely | Limited | Production-focused | Plants that need costing more than specs |
| Retailer-network PLM (such as Trace One) | Retailer's copy only | Its own format | Yes | Yes, inside that network | Suppliers dominated by one retail group |
| Formulation-based PLM with multi-customer output | Yes | Generated from the master | Yes | Yes, across customers | Manufacturers supplying 3 or more retailers |
If one retailer group takes most of your volume, its network platform is enough. Once you supply 3 or more retailers, you need a formulation-based PLM. Whichever platform you pick, start with what it does out of the box. Customise only where a retailer requirement leaves you no choice, because every customisation adds cost at every upgrade.
Managing retailer specifications
Treat retailer specifications as outputs of the master record, with controlled changes and recorded approvals, and stop managing them as documents. Work through these steps in order:
- List every retailer specification for each product, along with its template and portal.
- Define the master attributes and map every retailer field to one of them.
- Set up change control so that an ingredient change produces a list of the retailer specifications it affects.
- Move legacy specifications and formulations into structured data and remove duplicates. Run analytics to prove that nothing was lost or changed.
- Record each retailer's sign-off on the master record.
- Publish through portal exports or GDSN, as each retailer accepts.
Projects fail at Step 4 when dirty legacy data copied straight into a new system brings the drift problem along with it.
Working with private label
C+P Consulting works with food and beverage manufacturers as well as manufacturers of beauty care and home care products, the categories where private label specifications pile up fastest. One anonymised global confectionery manufacturer needed a single source of truth for specifications and formulations across multiple plants, and it had no earlier system to build on. C+P ran a standard-first implementation with a structured fit-gap analysis. Business users checked the design in early conference-room pilots before any configuration began. The result was one source of truth for specifications, live on time against plan.
The same people handle process design and the technical build, so the design you sign off is the design the platform runs. The team also stays through go-live and the weeks after it, because a project only succeeds when your people actually use the system.
How to get started in private label manufacturing
In private label manufacturing, your first decision is which product family to pilot. Pick the family that ships to the most retailers. It shows the most drift, and it gives you the strongest case for return on investment. Map its retailer outputs before you look at any vendor demo. That way you judge each platform against your real formats and skip the generic feature lists. C+P Consulting helps private label manufacturers choose a PLM built around one governed product record and supports its implementation and adoption. Talk to us about your programme.
FAQ
The data problem in private label manufacturing is that separate retailer records for the same product drift apart after changes. To assess your exposure, count the retailer specifications linked to each product and check whether updates still depend on manual edits.
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