What You Asked For Is Exactly What You Got
A version of the supplier data problem is familiar to most brands. The data comes back incomplete. Fields are estimated rather than measured. Certifications cover a material category rather than the specific input used in a specific product. The figures submitted this season look suspiciously similar to the figures submitted last season, regardless of what actually changed in the supply chain.
The diagnosis is almost always the same: the supplier isn't capable, or isn't trying. The response is more pressure — tighter requirements, harder deadlines. And the data quality stays roughly where it was.
What that cycle avoids asking is the harder question. The brand designs the relationship. The supplier responds in kind.
Consider what the data request scenario looks like from the supplier's side. A mid-sized fabric mill supplying three or four brands may receive data requests from each of them — different formats, different portals, different timelines, all arriving in the same quarter. The requests share a common characteristic: they are structured around the brand's compliance requirements, with no explanation of how the data will be used or what difference accuracy makes. They carry an implicit message — comply, or the relationship is at risk — and an equally implicit indifference to the cost compliance imposes.
The supplier makes a rational calculation. Provide what is asked for. No more, no less. At the minimum level of effort to keep the relationship intact. Quality, accuracy, not a priority. The form is completed. The relationship is preserved. The data is not useful.
This is not supplier failure. It is the logical outcome of a relationship built on extraction rather than partnership. The brand designed that relationship. The supplier responded in kind.
Leverage sharpens this. A large brand with significant purchasing volume can make data quality a condition of the commercial relationship and enforce it. Some do, and it produces results — in the narrow sense that the data fields get populated with something that looks like what was asked for.
But a supplier who provides verified data because the contract requires it and the audit is next month is a different data source from the one who provides it because the brand has invested in building the capacity to do so — sharing the cost of measurement systems, giving the supplier time to gather what is actually needed rather than what can be assembled quickly. The first produces compliance. The second produces knowledge. Most brands are getting the first and pretending it is the second.
The relationship that produces genuine data quality compounds over time. Each season the data gets richer, because the capability and the trust underpinning it have both deepened. The relationship built on contractual pressure produces something different — a recurring audit cycle, compliant on the day and degrading between checks. And a supplier quietly looking for a new customer.
Smaller brands face this differently. Without purchasing volume, commercial leverage is absent. A supplier with fifty customers has little incentive to invest in data capability for the one whose orders represent two percent of its revenue. The data request carries no weight. The response reflects that.
But smaller brands are not without options. They simply can't exercise the ones that depend on scale. They can offer the quality of the relationship instead — consistency in what they ask for, clarity about why it matters, a genuine interest in making the supplier's job easier rather than harder. A supplier choosing where to invest limited data effort will not always choose the biggest customer. They will often choose the least difficult one.
That is a different kind of leverage. It compounds in the same direction.
The distinction between data extraction and data partnership shows up in the ordinary texture of the relationship. A supplier who has worked with the same brand across multiple seasons — who knows the definitions, has invested in the measurement capability, and has seen the data it provides used rather than filed — produces a different quality of knowledge than one brought in for a single season on price. Not because they are more capable. Because the relationship asked something different of them.
Trust shaped by extractive practice is not restored by a better portal or a stronger contract clause. It has to be rebuilt through behaviour, over time. The brands making genuine progress on supply chain transparency have stopped asking why their suppliers don't provide better data. They have started asking what kind of relationship would make better data the natural outcome.
That is a different question from the one most brands are currently asking. It also has an answer.
Michael Shea is a digital excellence advisor, non-executive director, and leadership coach working with organizations navigating the human and technical dimensions of digital transformation. He hosts The Aeolian Discourse and writes at The Aeolian.