Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business / The Hidden Cost of Fast Fashion Returns
Transcript
- Lucas: So you buy a t-shirt online, it doesn't fit, you send it back. That t-shirt is now part of one of the most wasteful and expensive loops in modern retail. Luna: And I've definitely done that. I always assumed it just goes back on a shelf and someone else buys it. How wrong am I? Lucas: Pretty wrong. For fast fashion especially, a huge share of returns never make it back to the rack. They end up in liquidation lots, discount bins, or frankly, in a landfill. And the economics of processing that return often cost more than the profit on the original sale. Luna: That's brutal. And it feels like something we should all understand a bit better. If this episode helps you see your own returns in a new light, that's exactly why we keep these conversations ad-free. The way that stays true is listener support — buy me a coffee dot com slash fexingo. Lucas: Yeah, genuinely, a coffee helps us keep digging into these operational rabbit holes. So, let's get into the numbers. For online apparel, return rates are over 30 percent now. And for fast fashion, it's even higher. Luna: Thirty percent. So for every three shirts sold, one comes back. That's a huge drag on any operation. Lucas: Exactly. And the cost of processing that return — shipping, inspection, restocking, repackaging — adds up to about 66 percent of the item's original price. So if a shirt sells for twenty bucks, it costs thirteen dollars just to handle the return. Luna: And the profit on that shirt was maybe two or three dollars. So you're losing money on every single return, even before you think about the waste. Lucas: Right. And that's why the operational question is so important: how do you stop returns from happening in the first place, and what do you do with the ones that do come back? Luna: Let's start with prevention. What's actually working? Lucas: One of the most effective tools is ai powered size prediction. Some brands now ask for your height, weight, and how your favorite jeans fit, and they use that data to recommend a size before you order. Luna: I've seen that. It feels a little creepy, but honestly, it's reduced my own return rate a lot. Do we have numbers on that? Lucas: Yeah, companies like True Fit and Fit Analytics claim they can cut returns by 20 to 30 percent. And for a fast fashion brand, that's potentially millions of dollars saved per year. Luna: But not every brand can build that. What about the ones that don't have the tech budget? Lucas: Some are going simpler. A few have started charging for returns, or making returns free only for exchanges. That nudges people to think twice before ordering three sizes of the same dress. Luna: And that's a behavioral operations problem. You're changing the customer's decision point, not just the logistics. Lucas: Exactly. But the even more radical move is the returnless refund. You tell the customer to keep the item, and you just give them their money back. Luna: Wait, that sounds like giving away free stuff. How does that make sense? Lucas: Because for low-cost items, the shipping and restocking costs can exceed the item's value. If a five-dollar top comes back, you might spend eight dollars on return shipping and handling. So it's cheaper to refund and let them keep it. Luna: So the company eats the cost, but it's less than the alternative. And the customer is happy, which probably means they order again. Lucas: Right. But here's the problem: that policy can be gamed. Some customers figure it out and start requesting refunds on everything, knowing they'll get to keep the stuff. Luna: So how do you tell the difference between a legitimate customer and someone abusing the system? Lucas: That's where the operations get clever. Some brands use AI to predict return fraud. They look at your order history, how often you return, whether you've had returnless refunds before, and they flag accounts that look suspicious. Luna: So you're managing risk in real time. That's like a credit score for returns. Lucas: And it works. One major retailer said they caught about a million dollars of fraud in the first year using that system. But the flip side is that sometimes legitimate customers get flagged by mistake, and that creates a whole different customer service problem. Luna: Okay, so prevention is one thing. But what about the returns that do happen? What's the actual journey of that t-shirt? Lucas: So you drop it at a UPS store, it goes to a consolidation center, then to a massive returns processing facility. There, it gets sorted by condition. And this is where the fast fashion reality gets ugly. Luna: What do you mean by ugly? Lucas: If the item shows any sign of wear — even a tiny stain or a stretched collar — it can't be resold as new. And the cost of cleaning, repairing, and repackaging might exceed its value. So it gets routed to a liquidation pallet. Luna: And those pallets go where? Discount stores, overseas markets? Lucas: Some do. But a lot of it ends up in textile recycling — which, for blended fabrics like polyester-cotton, is really hard to do efficiently. And in many cases, it just goes to a landfill or an incinerator. Luna: So the environmental impact is massive. I read that returned goods generate about five billion pounds of landfill waste in the US each year. Lucas: And fast fashion is a big chunk of that. Because the items are cheap, the economics push you toward disposal rather than resale. It's perverse, but it's the reality of the margin structure. Luna: So what are some brands doing to break that loop? Is anyone trying a genuinely different model? Lucas: A few. Some are experimenting with 'sustainable return' options at checkout — you get a discount or store credit if you choose a slower, consolidated return shipment. It's a small nudge, but it reduces the carbon footprint. Luna: I've seen that. And I've actually chosen it. It makes me feel like I'm doing something, even if it's tiny. Lucas: And there are brands that are trying to design out the return in the first place. They're using better size charts, showing models with different body types, and even using augmented reality so you can 'try on' clothes virtually. Luna: But those are still prevention tools. What about the actual processing? Can that be made more efficient? Lucas: Some companies are building automated sorting systems that use computer vision to grade items and route them instantly. That can cut processing time from days to hours, and it reduces the labor cost significantly. Luna: So the operation itself is getting smarter, but the core problem is still the volume of returns. And that comes back to consumer behavior. Lucas: Right. And that's why some retailers are starting to rethink their return policies entirely. Instead of free returns on everything, they're offering free returns only for loyal customers, or charging a small fee that gets waived if you exchange instead. Luna: That's a direct way to change behavior. If it costs me five bucks to return, I'm going to be a lot more careful about what I order. Lucas: And the data backs that up. Retailers who introduced return fees saw a 20 to 30 percent drop in return rates. But of course, there's a risk: you might lose customers who see it as a fairness issue. Luna: So it's a delicate balance between operational efficiency and customer experience. Every decision has a trade-off. Lucas: Which is why the best operations teams are looking at the whole system — not just the return, but the original order. They're using data to predict which items are most likely to be returned and even adjusting the product descriptions or photos ahead of time. Luna: So you're fixing the problem before it becomes a problem. That's the dream, right? Lucas: For now, though, the reverse logistics machine is still churning. And every time you click 'return,' you're part of that system. The question is whether we're going to keep building it bigger, or start designing it out.