Inside the Factory: What Survives a Regulator's Question
In 2027 a market surveillance authority will email a brand with a single request: prove the recycled-content claim on this style. The brand will have around thirty days to respond. What lands in the regulator's inbox is not a death by PowerPoint or a nice PDF, it is a record. The only question that matters in the next two quarters is whether that record exists, and where it physically resides.
That is the focus I would have in every DPP trim discussion. Ask what survives the question.
The encoder is the witness. Every defensible DPP trail starts at a single piece of equipment: the encoder that writes the SGTIN onto the chip inside the woven label. Two seconds, one station, one operator. The chip is encoded, verified by a second read, and locked before the label leaves the line. If that moment happens inside the factory the brand has contracted, the chain of evidence begins under one roof. If it happens at a third-party converter, or worse, gets aggregated by a software platform from suppliers nobody has audited, the chain begins with a handoff the brand cannot reconstruct.
The production log is the deposition. At Maxim, every encoded label writes a row. The SGTIN, the timestamp, the encoder ID, the operator on shift, the yarn lot, the woven roll number, the factory location. That data string sits in a Maxim-owned database, retained under the brand's MSA, and reachable through the Eco-Trac API within the week the label ships. A regulator asking where a recycled-content claim came from gets a Maxim timestamped row pointing to a specific machine in a specific factory on a specific lot of yarn. Not a certificate. Not a screenshot. A row that names the equipment and the shift.
This is what a deposition looks like in a manufacturing context. Mundane, specific, the kind of record that holds up when someone pushes back. That one version of the truth goes a long way.
The chain of custody breaks at the apparel factory. Most DPP programs do not fail at the chip. They fail at the next handoff. The label arrives at the apparel factory, the garment is sewn, and the chip-to-garment association is supposed to happen at item level. In practice it often gets missed, mis-keyed, or batched at the carton. When the regulator opens an item, the chip says one thing and the brand's PLM says another. The trail dies at the seam, for lack of a better term.
Eco-Trac closes that gap by reading at the apparel factory, at item level, through tunnel scanners we provide. The number we hold ourselves to is one hundred percent box accuracy. At our 2025 volume, the difference between ninety-nine percent and one hundred percent is roughly twenty million unverified units. Twenty million is the number that turns a clean DPP submission into a recall, or into dead inventory that gets discounted, written off, or retagged at cost.
The dashboard is not the evidence. A platform-led DPP can produce a beautiful consumer-facing passport. It can resolve a QR, render a page, and show a green check mark. What it cannot do is name the operator who ran the lot or the yarn batch the recycled claim was inherited from. Aggregated data is not source data. A dashboard is a view of a database, the database is a view of a production trail, and the production trail either exists in a factory the brand can audit, or it does not.
Manufacturing-led means the audit trail and the production trail are the same trail. That is the whole point of the model.
The decision in front of you. The brands picking their DPP trim partners over the next two quarters are not buying software. They are deciding, today, where the answer to a 2028 regulator question will physically come from. A factory the brand's auditors can walk into, or a vendor's database fed by converters the brand has never visited. Both will produce a passport.
Only one will survive the day.
A regulator wants to see the witness, read the deposition, and follow the chain back to the lot.
