Apparel Analytics

The apparel industry has a data problem.

Brands track what they make and what they sell. Almost no one tracks what happens next - into resale, into donation, into landfill. We are building the intelligence layer for the second half of a garment's life.

What we're building Why now
92M
tonnes of textiles landfilled or incinerated each year (est.)
$1T+
global apparel market
0
standard monthly new vs. resale reports, today
Post-Sale Intelligence

What happens after the sale

The apparel industry has decades of data on what it produces and sells. It has almost none on where product goes afterward. In real estate, you always know the relationship between new construction and resale inventory - what's on the market, what's moving, what's heading toward distress. Apparel has none of it.

We come from the real-estate and mortgage data world, where every asset has an estimated value, a transaction history, and a replacement cost. We saw the same models apply, unbuilt, to a trillion-dollar market. So we are building them. Read our approach →

Why Now

Regulation is about to create the data that never existed.

California's SB 707 will require producers to account for what happens to their products after the sale - forcing an entire industry to report data it has never collected. That is the raw material. The intelligence we build on top of it - value, disposition, new versus resale - is the product.

See the intelligence How the data gets here