Nate points to logistics, pricing and sizing. Logistics is a huge one in Australia — moving large amounts of stock is a time and cost sink. Pricing is weird because it's demand-based not retail-based, and sizing matters because every brand's size chart differs and vintage clothes may have shrunk or stretched.
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Nate names three bottlenecks beyond listing automation. Logistics is "a huge one," especially in Australia: "it's just very hard to move stock, particularly large amounts of stock from, like, one place to another warehouse" — a massive time and cost sink that isn't environmentally friendly. Pricing is "a bit of a weird one" because it's based on demand, not retail: some second-hand shoes sell above retail price while other goods have to go 20, 30, 40% below. And sizing "plays a big role in the secondary market because each brand has a different size chart," and vintage clothes that have shrunk or stretched can mislead buyers — all things he thinks AI can help solve.