Why the Most Profitable Thing a Fashion Brand Can Do Is Help You Keep Your Clothes

HappyPorch Radio is in its tenth season, and the theme we've landed on for it is intentional: Technology Isn't Magic. After a decade of conversations with circular economy founders, builders and thinkers, the common thread Barry O'Kane's been noticing is a simple one. Technology on its own does not in itself change anything. What changes things is what happens when technology meets real people, real businesses and real decisions.

Barry’s recent conversation with Nancy Rhodes, CEO of Alternew is a precise illustration of that argument. Her company is builiding an AI-powered platform that embeds tailoring and repair into the fashion shopping experience. The technology is genuinely clever. But when you talk to Nancy, you quickly realise that the technology is not really the point. The point is a bag sitting at the back of a wardrobe with an alteration that never got done. The point is a tailor two miles away who has the skills and the time and no reliable way to reach more customers. The platform connects those things. The magic, if there is any, is human.

The Invisible Pitchfork

Nancy spent nearly two decades as a footwear designer, building products for Costco, Target, Marshalls and, every so often, a household name. "I built products for icons like Beyoncé and Kenneth Cole," she says, "but most of my career, Costco, Target, Marshalls, TJ Maxx." She was good at it. She was growing. And she was increasingly uncomfortable.

"I was building a landfill out there with my name that I'm personally responsible for."

That discomfort led to a Master's in Sustainability and a thesis on democratising care and repair. The business idea arrived almost sideways, in a conversation with a friend who mentioned she used to take in tailoring at university for extra cash. It was a small detail. But it clicked.

"That's literally a way that I can support an industry I love without making new product," Nancy recalls thinking. She describes what came next as the invisible pitchfork: not a grand entrepreneurial vision, but a feeling of being compelled forward by the logic of the problem. She did her thesis. She followed the breadcrumbs. She knocked her head against brick walls. She kept going.

"It's my Shawshank Redemption," she says. "I have my little pickax, my little rock hammer. And we're getting there."

What’s wrong with this equation?

The research that followed the lightbulb moment turned out to be striking. US fashion brands spent $890 billion on returns last year. Customer acquisition costs are running at up to $130 per customer. Churn rates in fashion hover around 56%. And brands that offer post-purchase care and repair see repeat business increase by up to 73%.

"The math isn't mathing to create a better experience for consumers," Nancy says. "They're spending more on acquisition, they're getting more churn. What is wrong with that kind of arc?"

This is the tension at the heart of what Alternew is doing, and it maps neatly onto what Barry described as the headwinds of linear commerce: the same system that incentivises brands to pour money into acquiring new customers actively discourages them from investing in keeping the ones they have. Repair has been filed under cost centre, sustainability activity, end-of-life service. It has rarely been treated as a customer relationship tool. That is the category error Alternew is trying to correct.

"We're not just a sustainability strategy," Nancy says. "We're a profit driver."

Making Repair as Easy as Ordering Takeout

Alternew's core proposition is deliberately simple: an AI-powered concierge embedded within a brand's own shopping experience, making it as easy to find a tailor as it is to order food.

"Think of it as like an OpenTable for tailoring and repair," Nancy says, "making it as easy to find a tailor to ask about getting stains out of your shirt as it is to order takeout."

In practice, a customer buying jeans that turn out to be too long hits a return button and instead sees something unexpected: a prompt to find a local tailor. They answer a few questions in plain language. They are connected with one of the 500-plus tailors, cobblers and repair specialists on the platform. Perhaps the brand subsidises the cost. The jeans get altered, the customer gets a perfect fit, and the brand gets what is increasingly rare in fashion: a loyal customer who feels genuinely cared for.

"You get a perfect fit, they understand you more, and they're getting that data back. They're getting an opportunity to really have your back."

Coming next: image recognition so a customer can photograph a garment label rather than trying to decode the fabric content themselves, and full product catalogues ingested per brand so the AI can say not just "here is how to care for this type of fabric" but "here is how to care for this specific coat you bought from us, and here is a cleaner two miles away who can help."

Where Technology Ends and Connection Begins

Our season theme is not a criticism of technology. It is an argument for clarity about what technology actually does. And Alternew is a clean example of the distinction.

The AI is doing real work: matching customers to local specialists, answering care questions, aggregating behavioural data, surfacing insights for product and marketing teams. But none of that is the value. The value is a customer walking out of a tailor's shop with jeans that fit properly, and a brand that understands a little more about their products in the real world.

Nancy reaches for a comparison that lands well. "OpenTable didn't create chefs. It created predictable demand for restaurants. Airbnb didn't create hotels. It created ways for people to participate in hospitality. Technology is vital to support the enablement of better human connection."

For the tailors, cobblers and repair specialists on the platform, that predictable demand matters enormously. These are skilled trades that have been quietly squeezed for decades. The economics of fast fashion made repair feel marginal. Why learn a craft when new is so cheap? Nancy's view is that this is about to change. "If you look at AI, taking all the knowledge jobs, these trades are gonna be very much something that people go into." Alternew's job, in part, is to make that path visible by connecting skilled people with the customers who need them.

The technology creates the infrastructure. The humans on both ends are the actual point.

The Mindset Shift Brands Need to Make

The commercial case is strong. The technology exists. So what is the barrier?

Nancy is direct. The problem is not that brands do not care about their customers. It is that repair has been filed in the wrong mental category.

"Textile recovery doesn't happen at end of use. It happens at first disappointment. It happens when a pair of jeans are too long. It happens when that first button pops off. It happens if a zipper fails."

The moment a customer loses faith is not dramatic. It’s quiet. A small failure, a decision not to bother, a gradual drift away. The brand never knows. They attribute the churn to something else, spend more on acquisition, and the cycle repeats. The data that could explain the loss is sitting untouched in a return note or simply vanishing without a trace.

The shift Alternew asks brands to make is from seeing repair as an occasional activity to seeing it as a continuous loop. Brands that have made this shift, from Patagonia to Nordstrom, the largest employer of tailors in the US, have done so because the returns make it hard to argue against. The brands that have not are still treating aftercare as an afterthought.

Nancy has a winter coat scenario that illustrates the opportunity vividly. Imagine a brand reaching out in March, before coat season ends, with a practical offer: we have partnered with a dry cleaner near you who can check for minor repairs and clean your coat before you store it.

"Do you know how often people take their coats out when it's coming to winter and they're like, 'Oh, this is unwearable,'" she says. "And so doing that, you pull out this lovely coat in the winter and you're like, look at this amazing brand who helped me do this. I should shop from them more often."

That is not magic. That is relationship. The technology made it scalable. The care made it memorable.

Data That Makes Products Better

One of the less obvious benefits of embedding repair into the shopping experience is the quality of feedback it generates. Not survey data or star ratings, but the kind of granular signal that tells a product team exactly where something is failing.

Nancy describes a case where customers kept bringing in a garment to have the arm hole adjusted. The repair was expensive and fiddly. When the design team investigated, they found that the construction had too many layers of fabric at the underarm. A small change fixed both the comfort issue and the repairability of the garment. The product improved. The return rate dropped.

The brand dashboard Nancy describes is not a spreadsheet. It is a living picture of what customers are doing with products after they buy them: what they are struggling with, what they are delighted by, what language they use, what other brands they mention. "Each transaction, each conversation becomes a loop that gives the brand ways to have hyper-local, hyper-personalized individual experiences for their consumers."

This is the flywheel. Better data leads to better products. Better products are easier to care for. Customers feel more invested in what they own. They return. They stay.

Buying Smarter, Wearing Longer

There is a sustainability thread through all of this, but Nancy is careful about how she frames it. She is not interested in shaming anyone for how they shop, or implying that circular fashion belongs only to those who can afford expensive things.

"Good can also be going to Primark and getting something and wearing it over and over for 10 years. Good can be going to Gucci and buying a blazer and wearing it over and over for 10 years."

She has a small but meaningful reframe of the familiar "buy better, wear longer" slogan.

"I say 'buy smarter, wear longer.' Because buying better, what does better mean?"

Better implies a hierarchy of price that excludes most people. Smarter implies intention and ownership, which is available to everyone. Real ownership, the kind where you take care of something and know it will last, is what Alternew is trying to make normal and, crucially, aspirational. The long-term ambition is for talking about fashion care to feel as natural as talking about a fashion haul. For looking after your clothes to carry the same cultural weight as buying them.

That is not a technology problem. Technology can support it, organise it and scale it. But the shift itself is human. And human shifts require people who decide to care, and then build the infrastructure to make caring easy.

Nancy Rhodes has a little rock hammer. The wall, she says, is giving.

Alternew is at alternew.com. You can find Nancy Rhodes on LinkedIn. Small Shopify apparel brands interested in a three-month beta, and enterprise brands looking to reduce returns and build customer loyalty, are exactly who she wants to hear from.

HappyPorch Radio Season 10, "Technology Isn't Magic," is exploring what happens when circular economy technology meets real business, real data and real people. All our episodes, transcripts and show notes are at happyporchradio.com. The ones for episode 3, “Repair, Retention and Rethinking Fashion with Nancy Rhodes” are here.