Specialty quick-commerce bets on curation, not just rapid delivery

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July 13, 2026

Sowmya Ramasubramanian, Vaeshnavi Kasthuril (MINT)

Bengaluru, 13 July 2026

India’s vertical quick-commerce startups across categories like baby care, medicines and fashion, backed by venture capital heavyweights, are beginning to redefine what “quick” means.

For some, the race is no longer about cutting delivery times by a few more minutes. Instead, founders are increasingly talking about better assortment, sharper curation, stronger supply chains and healthier unit economics as the factors that will decide whether the model survives.

Baby care platform Ozi, backed by Blume Ventures and RTP Global, has settled on a roughly 60-minute delivery promise. Founder Amit Sah told Mint the company would rather optimise for “quality selection” than chase ultra-fast deliveries, arguing that customers today are looking for reliable availability and curated choices rather than insisting on receiving products in 10 minutes.

Lightspeed-backed fashion startup Slikk is pursuing a similar path. Founder Akshay Gulati said the company’s focus since inception has been building a wide catalogue rather than aggressively acquiring users.

The shift comes as the sector enters a more pragmatic phase. Quick fashion startup Blip shut down within a year of launch last June, while rival Klydo has recently pivoted its business model, raising questions about the viability of firms in every category.

The crop of vertical quick commerce startups—focused on rapid delivery within a single, specific product category—has largely emerged over the past two years, inspired by the explosive growth of grocery-focused pioneers such as Blinkit, Swiggy Instamart and IPO-bound Zepto, which have accustomed consumers to receiving groceries and everyday essentials within minutes.

Other prominent startups include Plazza for quick delivery of medicines, Instafix for mobile repairs within minutes, and Dazzl for at-home salon services.

Kalaari Capital noted in its 2025 report that quick commerce had already captured about two-thirds of online grocery orders and around 10% of India’s overall e-retail spending in 2024, transforming consumer behaviour and building the infrastructure for specialised vertical players to emerge.

“Speed was never a real moat but became a hygiene factor once every significant player could promise 10-30 minute delivery,” said Devangshu Dutta, founder and chief executive of consultancy Third Eyesight. “Assortment depth, availability, trust, and sustained price-value have been, and will remain, the true differentiation levers. For categories such as medicines and baby products, credibility and compliance outweigh saved minutes, apart from urgent purchases.”

“Unit economics can become healthier only where there’s a clear reason for frequent and repeated purchases. Groceries and medicines are repeat, low consideration categories, while fashion is high consideration, driven by fit, styling and browsing. The best quick commerce categories have low or no returns and high order frequency, whereas rapid fashion delivery faces high return rates due to product mismatch against customer expectations (sizing, fit, fabric and colour),” Dutta said.

Different categories, different playbooks

While fashion startups are investing heavily in discovery and inventory refreshes, Ozi believes the opportunity in baby care lies in curation and premiumisation.

Sah said each sub-category within baby care presents a different operational challenge. Consumables require deep availability of long-tail brands, while fashion depends on filtering products for quality rather than listing everything available. Ozi, which delivers wipes, diapers, and baby food, deliberately curates brands instead of maximising assortment, targeting parents willing to pay slightly more for trusted products.

“The customer behaviour has shifted from discovery first to search first,” Sah said, adding that shoppers today are not necessarily looking for ultra-fast delivery, but nor are they willing to wait several days. “A modern-age customer values quality. They are happy to pay an 8-10% or 12% differential, but they need quicker access to better brands and better assortment.”

Fashion startups argue that their challenge is different altogether.

Gulati said Slikk has built its business around supply rather than customer acquisition, claiming that stronger assortment has helped steadily reduce acquisition costs. The company replaces 30-40% of inventory in every dark store each month and is expanding neighbourhood by neighbourhood instead of spreading rapidly across cities.

Slikk might also consider introducing private brands for apparel, given their higher margins, Gulati said.

Bengaluru-based fast-fashion e-commerce startup Knot, which raised $5 million from 12 Flags and Kae Capital in December 2025, is investing heavily in back-end technology. Its app captures user preferences through swipe-based interactions, while its dark stores carry much wider assortments than horizontal quick commerce operators – offering a vast, multi-category collection of goods – and customise inventory based on local demand.

“We look at fashion as a data science problem and not really an intuition problem,” co-founder and chief executive officer (CEO) Archit Nanda said.

Nanda said fashion’s long-tail nature—which relies on selling small quantities of several unique products rather than depending on a few popular items – means inventory commonality across dark stores is significantly lower than grocery, requiring specialised supply chains and hyperlocal merchandising.
The profitability test

The changing strategies also reflect growing investor scrutiny of unit economics.

Slikk’s Gulati said investors continue to back the category but increasingly want proof that businesses can balance growth with profitability rather than relying on heavy customer acquisition spending. He believes execution in neighbourhood-level operations, assortment and brand partnerships will ultimately determine the winner.

Knot’s Nanda said that fashion combines high average order values with healthy margins, making the category attractive despite its complexity.

However, analysts believe that not every vertical is equally suited to the model.

“Looking ahead, horizontal cross-subsidy will work better, with established, well-capitalised players (Myntra’s M-Now, Nykaa Now) including quick delivery into an existing catalogue and logistics network rather than building it standalone. For narrow, high-trust verticals (medicines, baby care) where the value is availability and authenticity rather than impulse, and where margins can support the delivery cost, quick commerce can work,” Dutta noted.

Kalaari Capital’s 2025 report on vertical quick commerce similarly argued that specialised players will win by solving category-specific pain points, with assortment depth, customer experience, and category expertise emerging as key differentiators.

(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)