What began as a solution for busy men may also be creating an unexpected new source of customer intelligence for brands.

For decades, apparel rental was largely reserved for special occasions.

Men rented tuxedos for weddings, proms and black-tie events. Women rented designer gowns for galas, weddings and formal celebrations. Since its founding in 2009, Rent the Runway helped pioneer the concept of fashion rental, making luxury apparel accessible without requiring consumers to purchase garments they might wear only once.

The value proposition was simple: why spend hundreds, or even thousands of dollars on a garment destined to spend most of its life in a closet?

Over time, however, the rental model evolved.

Consumers began renting clothing for vacations, work, maternity, weekends, and everyday wear. That shift helped propel Urban Outfitters’ Nuuly into one of retail’s fastest-growing businesses. For the fiscal year ending January 31, 2026, Nuuly reported $568 million in net sales. The rental company’s average active monthly subscribers have grown to over 500,000, a roughly 40% increase from the previous year, and operating profit rose to $35 million. Meanwhile, Rent the Runway, which helped establish the category, reported improving momentum with quarterly revenue of $87.6 million and approximately 147,600 active subscribers. Together, the two companies illustrate that fashion rental has matured from an experiment into an established retail business.

The contrast between the two companies also reflects how consumer behavior has evolved. Rent the Runway built its reputation around luxury designer fashion and special occasions. Nuuly expanded the model into casual, everyday wardrobes by leveraging Urban Outfitters’ portfolio of brands, merchandising expertise, and logistics infrastructure.

While both companies demonstrate the viability of fashion rental, their divergent paths illustrate one of the industry’s greatest challenges: reverse logistics. Rental is not simply an e-commerce business; it is an operational business built on the continuous movement, inspection, cleaning, repair, and redistribution of garments. Nuuly’s rapid growth was supported by Urban Outfitters’ existing retail infrastructure and a reported $60 million investment over five years to build an advanced fulfillment network, including automated distribution centers, industrial-scale laundry operations, and garment repair facilities. Leveraging URBN’s established brands, logistics network, and customer base, Nuuly scaled to more than $568 million in annual net sales while rapidly expanding its subscriber base. For independent rental platforms without the backing of a multi-billion-dollar parent company, building that infrastructure from scratch remains an incredibly steep, capital-intensive climb.

Despite the operational complexity, women’s rental has proven that the model is commercially viable. The next question is whether it can be successfully adapted to men’s everyday wardrobes.

That is precisely what a new generation of startups, including Taelor and Rent With Thred , is attempting to answer.

More Than Renting Clothes

For Anya Cheng and Phoebe Tan, co-founders of Taelor, the opportunity isn’t simply renting clothing.

It’s helping men simplify one of the most overlooked parts of daily life.

Their customers are busy professionals who don’t enjoy shopping, don’t want to think about what to wear each morning, and would gladly eliminate laundry and dry cleaning from their weekly routines. Taelor combines AI-assisted recommendations with human stylists to curate wardrobes delivered directly to customers. Subscribers wear the garments, return them without laundering, or purchase the pieces they choose to keep.

The product isn’t simply clothing.

As I continued researching this story, I found another menswear rental company approaching the market from a different perspective.

Will Hunter, founder of Rent With Thred, describes his customers as “outcome-oriented shoppers.” Men, he told me, aren’t browsing stores for entertainment. They’re looking for clothing that fits well, reflects their lifestyle and removes the uncertainty of trying unfamiliar brands.

Hunter describes the model as helping customers “de-risk” fashion purchases by allowing them to experience brands before committing to an investment.

I referred to it as “dating (the brand) before marriage” during our conversation.

Rental allows customers to experience a brand’s fit, quality, and style before deciding whether it deserves a permanent place in their closet.

Although Taelor and Rent With Thred position themselves differently, they are solving remarkably similar problems.

They provide confidence by reducing the risk of trying something new.

They deliver convenience by simplifying shopping, laundry, and wardrobe management.

They encourage discovery, introducing customers to brands they might not otherwise consider.

And perhaps most importantly, they create efficiency by removing time, effort and uncertainty from the shopping experience.

However, expanding the model into everyday menswear introduces a different set of operating challenges. In women’s rental, subscribers most likely rotate fashion pieces for special occasions or to refresh their wardrobes seasonally, so garments may be worn only a few times before being returned in good condition.

Everyday menswear is different.

Men who subscribe to eliminate shopping and laundry are likely to wear these garments repeatedly throughout the week. That changes the economics of the business. Higher utilization accelerates garment wear, increases cleaning and repair costs, and shortens a product’s rental lifespan, all of which place additional pressure on margins.

Beyond operations, menswear rental also requires a behavioral shift. For decades, most men associated apparel rental with tuxedos and special occasions. Convincing consumers to rent everyday clothing requires changing long-established shopping habits as much as introducing a new business model.

Despite these challenges, the potential consumer value remains compelling.

But as I spoke with founders and the brands participating on these platforms, I realized the story wasn’t just about convenience or operational efficiency.

The most interesting innovation may not be the rental model itself.

It may be what the rental model reveals.

Traditional retail has always excelled at measuring transactions.

Retailers know what customers purchased.

What they have historically struggled to understand is what happens after the purchase.

Did customers actually wear the garment?

Did it become a wardrobe favorite?

Did it fall apart after a few washes?

Did it introduce someone to a new brand?

Did it influence a future purchase?

Unlike a traditional retail transaction, a rental subscription extends the customer relationship well beyond the point of purchase.

Every shipment, return, product rating, and customer comment creates another opportunity to understand how clothing performs in the real world.

Taelor refers to this information as “wear data”.

Rent With Thred describes it as “near real-time” customer behavior.

A remarkably similar concept.

Instead of ending the customer relationship at checkout, rental platforms create an ongoing conversation long after the transaction is complete.

What Brands Are Actually Learning

Charles Spisak, founder of premium menswear brand Mason Cruz , spent more than twenty-three years at Nordstrom as a buyer and merchandising executive before launching his own label.

He has spent decades making merchandising decisions supported by sophisticated corporate reporting.

Yet one observation immediately stood out when reviewing customer feedback generated through Taelor.

“When you are in a big corporation, you have access to very good data. As a buyer, it only tells you what happened, but not what didn’t happen.”

For Spisak, the reports weren’t replacing merchandising judgment.

They were adding context.

One customer commented that a polished hoodie had become acceptable office attire.

That single observation wasn’t enough to launch an entirely new category overnight, but it suggested a subtle shift in workplace dress codes that traditional sales reports alone would never reveal.

“Those comments are real-world comments,” Spisak told me.

“You can’t get that from numerical data.”

For R2 Amsterdam , the value looked different.

The premium Dutch menswear brand, which operates and distributes across Europe and Canada, wasn’t looking to reinvent its collection. Instead, Taelor’s customer feedback validated what the company already believed about its brand.

American subscribers continued to favor the same exclusive premium printed shirting and travel collection that had established R2’s reputation internationally.

The reports didn’t fundamentally change product development.

They reinforced confidence.

R2 also pointed to another subtle advantage of rental.

Subscribers have an incentive to provide honest feedback. If they don’t accurately describe their preferences, they’re less likely to receive clothing they’ll enjoy in future shipments.

That creates a richer and potentially more reliable feedback loop than the one-time product reviews many e-commerce businesses rely upon.

Because rental reflects what customers are wearing today, not months after seasonal reports are compiled, brands gain a more immediate understanding of evolving preferences and emerging trends.

Different founders describe the opportunity differently.

Different brands use the information differently.

Yet they all point toward the same idea.

Rental platforms are becoming continuous sources of customer intelligence.

Human Judgment Still Matters

Artificial intelligence has become one of fashion’s biggest topics of conversation.

Nearly every startup today describes itself as an AI company, a technology company or, increasingly, a data company.

The long-term potential is significant, from demand forecasting and inventory optimization to product development and personalization.

Yet after speaking with founders, merchants and brand partners across this emerging category, I came away with a different observation.

The discussion wasn’t focused on replacing merchants or designers; it was about providing the fashion industry with better information.

For Mason Cruz, customer feedback uncovered an emerging lifestyle shift.

For R2 Amsterdam, it validated brand positioning in a new market.

For Rent With Thred, it provides near-real-time visibility into customer behavior.

For Taelor, it forms the foundation of what the company calls wear data.

Whether companies describe those insights as wear data, customer intelligence, or near-real-time customer behavior, the objective is remarkably similar: helping brands better understand how products perform once they leave the warehouse.

Perhaps that is where this emerging category becomes most interesting.

The first generation of rental companies changed how consumers accessed clothing.

The next generation may change how brands learn from it.

Artificial intelligence will undoubtedly continue to reshape retail.

Technology may organize information, accelerate analysis, and surface patterns that humans would otherwise miss.

But the people I interviewed weren’t looking to replace merchant judgment.

They were looking to strengthen it.

Ultimately, the true value may not lie in the technology of artificial intelligence itself.

Instead, the most significant advantage is the profound depth of customer understanding that this emerging business model facilitates.

While traditional retail has historically focused on tracking purchase behavior, rental models are uniquely positioned to capture data on how consumers actually use garments.