Quick fashion: Legacy brands race to match instant delivery demands

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May 6, 2026

Vaeshnavi Kasthuril, MINT

Mumbai, 6 May 2026

Fashion retailers are speeding up deliveries to keep pace with instant-gratification shopping driven by quick-fashion startups, with established players and newer brands taking sharply different approaches.

For example, brands such as Biba and The House of Rare have adopted a more calibrated, infrastructure-led strategy rather than a rapid overhaul of existing store networks. “We’ve been doing this in a very soft way but not necessarily from the same stores because that affects the customer experience,” said Siddharth Bindra, managing director of Biba. Bindra said using retail stores as fulfilment hubs for rapid delivery creates operational constraints, particularly given store sizes and layouts. “We don’t have very large stores; they are anywhere between 1,000 and 2,000 square feet. So that’s not the right efficiency,” he said.

Instead, the brand is evaluating a hub-based model in cities with higher store density, enabling faster deliveries without disrupting stone operations. “If we do, it will be though proper hubs in cities where we have four to five stores, where we would start with quick commerce and accelerate it,” he said. This could enable same-day or two to three-hour deliveries.

The House of Rare, which houses Rare Rabbit (men’s urban fashion) and Rareism (women’s fashion), is adopting a similar approach, evaluating city-levee fulfilment hubs in markets with higher store concentrations to enable faster deliveries while keeping retail outlets focused on walk-in consumers.

The strategy reflects a broader attempt among legacy retallers to belance speed with experience, rather than treating stores as Interchangeable logistics nodes. “The eventual goal is the customer, but it creates a lot of difference in the customer experience” Bindra said, pointing to the trade-offs involved.

Different take

In contrast, some brands are moving more aggressively to integrate stones directly into fulfilment networks.

Libas, an initial public offering (IPO)-bound apparel company, is networking its operating model to plug its physical retail network Into a faster, hyperlocal delivery system.

Earlier, the 12-year-old company followed a more traditional structure. Online orders were largely fulfilled from central warehouses and delivered over a few days, while stores primarily served walk-in customers, with the two channels operating independently.

That is now changing. Libas is using its stores and nearby warehouses as local fulfilment points, allowing it to service orders within a much smaller delivery radius,

“At Libas, the time frame will be approximately 60-90 minutes at the max,” said Bhavay Pruthi, senior vice president, e-commerce and product management.

The rollout has been gradual, starting with select cities and limited catchments, typically within a 7-10km radius, where delivery timelines can be tightly controlled. It has also narrowed the product mix initialy to itams that are easier to move quickly.

The push comes as consumer expectations around delivery timelines extend beyond groceries into fashion, forcing brands to rethink supply-chain design,

Rise of quick fashion

The urgency to adapt is being shaped by a surge in quick fashion startups that are attracting investor attention despite heavy cash burm.

The segment has seen a flurry of funding in recent months, with Zilo raising $15.3 million in February led by Peak XV, and Knot securing $5 million in a round led by 12 Flags in December.

It has also evolved rapidly. Quick-commerce platforms such as Zepto, Instamart and Blinkit initially offered a limited range of basic fashion items for last-minute purchases. This has since expanded into a more specialized category, with vertical players offering wider assortments across party, work and occasion wear with rapid delivery timelines.

New entrants are pushing the model further. Wydo, for instance, promises deliveries within 15 to 30 minutes in Bengaluru, while Gen Z-focused offerings such as Newme’s Zip and Snitch Quick are building businesses around near-instant fashion access.

Myntra’s rapid commerce division, M-Now, accounted for about 10% of orders in the locations where it was available as of last November.

“This is the new kind of experience that customers are expecting,” Pruthi said.

Libas is working with third-party logistics providers and quick commerce platforms for the last-mile delivery, while focusing internally on faster picking, packing and order routing. Quick commerce currently accounts for about 2% of its overall sales, with scope to grow as the model scales..

Early results, however, highlight the trade-offs. “We saw very good sell-throughs for e-commerce, but it was cannibalizing existing store sales,” Pruths said.

There are also fimits to what customers are willing to buy through rapid-delivery channels. “Customers do not have the confidence to spend 15,000 for a fashion product from a quick- commerce channel,” he said.

To address this, Libas has tightened delivery radii, curated a more suitable product mix, and is testing stores with attached dark-store infrastructure to balance walk-in and online demand.

Experts say these challenges are structural.

“If you look at fashion, it’s extremely unpredictable, and if you are a brand across multiple products, it’s complicated process,” said Devangshu Dutta, founder of management consulting firm Third Eyesight.

While demand for faster deliveries is rising, it remains a small slice of the overall market, with profitability still uncertain due to limited assortments and high fulfilment costs. For traditional retailers, adopting the model requires a fundamental reworking of supply chains that were not built for near-instant delivery, Dutta added.

(Published in MINT)

Quick fashion delivery startups lean on AI, try-and-buy to cut costly returns

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July 27, 2025

Alenjith K Johny & Ajay Rag, Economic Times
Jul 27, 2025

Startups in the 60-minute fashion delivery segment are betting on features such as ‘try and buy’ and artificial intelligence (AI)-powered virtual try-ons to tackle high return rates, a key pain point in the segment. These tools are helping increase conversion rates and reduce returns while offering greater flexibility to buyers, said industry executives.

Mumbai-based Knot, which recently raised funding from venture capital firm Kae Capital, said partner brands that typically see return rates of about 20% on their direct-to-consumer websites are witnessing sub-1% returns through offline stores, a trend it is now replicating through these digital features.

“Our partner brands, which have offline stores, would typically witness 20% returns on their direct to consumer websites. But for the same purchases on offline stores, the returns are less than 1%. That is the idea. With the ‘try and buy’ feature, users can make a very decisive purchase at their doorstep,” Archit Nanda, CEO of Knot, told ET.

Return rates among users of the company’s virtual try-on feature are similarly much lower than the platform’s overall user base, he said.

Other venture-backed quick fashion delivery startups such as Bengaluru-based Slikk, Mumbai-based Zilo and Gurugram-based Zulu Club are also testing similar features to increase conversions and reduce returns.

“Returns play as big a part as maybe forward delivery does. Because these are expensive products, giving the customer his or her money back also plays a very critical role,” said Akshay Gulati, cofounder and CEO of Slikk.

Instant returns

Slikk is piloting an ‘instant returns’ feature where, like its 60-minute delivery service, returns are also completed within an hour. Once a return request is made on the app, a delivery partner picks up the product and refunds the amount instantly. The startup claims its return rate is 40-50% lower than that of traditional marketplaces and that it doesn’t charge customers any extra fees for returns.

Some users said they were satisfied with the delivery speed and trial window but pointed out that the app does not provide any return status updates until the product reaches the warehouse.

“I received my order within 60 minutes and had enough time to try it out. However, after returning the product, I didn’t receive any notification in the application until the delivery agent reached the warehouse,” said Mohammed Shibili, a working professional based in Bengaluru, who tried Slikk’s feature.

Investor interest

Investors tracking the segment estimate that try-and-buy and virtual try-on features can reduce return rates by 15-20 percentage points, translating into substantial cost savings for both platforms and brands.

“Features like try and buy are a huge cost save, not just for the platform but also for the brand. The brand otherwise would lose that inventory till it comes back and can’t make the sale on it. But now, that’s all getting quickly turned around. So, for the brand, it’s a win-win situation as well as for the customer where the money is not getting stuck till it gets the returns refunded,” said Sunitha Viswanathan, partner at Kae Capital.

Old model, new infrastructure

Flipkart-owned fashion etailer Myntra had introduced try and buy back in 2016 to attract traditional shoppers to online retail. However, the feature didn’t scale up due to supply chain limitations, according to industry executives.

“Back when Myntra launched ‘try and buy’, there was no hyperlocal delivery infrastructure. Deliveries were through national courier services. That model isn’t feasible to try and buy unless you have your own hyperlocal delivery fleet,” the founder of a fashion delivery startup said on condition of anonymity.

The founder added that while Myntra operated from large warehouses located on the outskirts of cities, the new-age supply chains are built within cities, allowing faster deliveries and enabling features like try and buy.

By the end of last year, Myntra had launched M-Now, an ultra-fast delivery service currently live in Bengaluru, Mumbai and Delhi, with pilots in other cities. The company said daily orders through M-Now doubled in the last quarter.

“Although it’s still early, our observations so far suggest that the quick delivery model, with its reduced wait time, attracts high-intent customers, leading to naturally lower return rates,” said a spokesperson for Myntra.

The etailer did not confirm whether the try-and-buy feature is being tested under M-Now.

Viability concerns persist

Despite the benefits, the long-term viability of these features is open to question, experts said.

“There is a cost to also providing these services (like try and buy), and whether that becomes viable at all is a question mark at this point of time. I think that’s what the concern is, and it has not been that viable,” said Devangshu Dutta, founder of Third Eyesight, a management consulting firm focused on consumer goods and retail industries.

He added that when platforms offer the try-and-buy feature, delivery executives have to wait while customers try on products, which increases the cost per delivery and reduces the number of deliveries that can be completed. Despite that, some items may still be returned, further impacting operational efficiency.

However, startups are experimenting with these features mainly on higher-margin products to offset operational costs, Dutta said, as return rates across fashion categories can range from under 10% to as high as 40% for certain items.

(Published in Economic Times)