From fame to fortune — how celebrity-owned brands are scaling up

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July 28, 2025

By Meenakshi Verma Ambwani, Hindu Businessline
New Delhi, July 28, 2025

Nykaa said that Kay Beauty, co-founded with actor Katrina Kaif, has crossed the ₹240 crore mark in terms of Gross Merchandise Value.

Stars from the tinsel town are donning the entrepreneurial hat to venture into the beauty and fashion business space. Some have even succeeded in growing their brands sustainably, earning big bucks.

Take for instance Skincare brand Hyphen, co-founded by actor Kriti Sanon with Pep Brands, which recently touched the ₹400 crore-mark in Annual Recurring Revenues.

Tarun Sharma, CEO and co-founder, Hyphen told businessline: “The brand is witnessing healthy growth rate quarter-on-quarter. In the first year itself, it touched ₹100 crore ARR. We had aimed for ₹500 crore ARR in 3-4 years and, within two years, we are at ₹400crore ARR.” Pep Brands led by Sharma owns mCaffeine and Hyphen.

The model that works

Sharma believes an operator-led, celebrity anchored model works better. ”The operator can bring in the necessary financial and execution muscle. If a celeb partners with an operator that has deep expertise in the space, then there is huge potential for growth,” he added.

“Product launches, marketing and distribution are very data-driven at Pep Brands. It guides us on what to launch, when to launch, and how to launch products. That has helped Hyphen in achieving this kind of growth rate. It is by design that the majority of the business of Hyphen is D2C,” Sharma explained.

In May, Nykaa said that Kay Beauty, co-founded with actor Katrina Kaif, has crossed the ₹240 crore mark in terms of Gross Merchandise Value. On an earnings call for Q4FY25, Adwaita Nayar, Executive Director, Chief Executive Officer, Nykaa Fashion, said: “Kay Beauty is one of the fastest-growing brands on the platform. It’s hit about ₹240 crore of GMV. The innovations have been fantastic this year. So, it is quite a premium brand, and I think the consumers are accepting it even at that price point. It’s got great gross margins.”

Earlier this year, Reliance Retail Ventures announced that it has decided to acquire 51 per cent stake in Ed-a-Mamma , a kid and maternity wear brand founded by actor Alia Bhatt. According to some reports, Hrithik Roshan’s sportswear brand HRX is a ₹1,000 crore brand.

Among the recent entrants are Ranbir Kapoor, who has decided to foray in the apparel and accessories space with ARKS. Launched in February, the brand has also launched its first store in Mumbai, followed by a second store in New Delhi and another with Broadway in Hyderabad.

‘Shift in preferences’

Abhinav Verma, co-founder and CEO, ARKS, told businessline: “We are seeing a shift in consumer preferences towards made-in-India brands. We decided to leverage on the strong manufacturing capability that India has to build a brand that is both aspirational and offers value. We are looking to build a ₹100 crore brand in the next 3-4 years with a strong omni-channel strategy.”

“The success of some of these brands demonstrates that building on consumer relevance and with powerful time-bound execution, celebrity ventures can become significant players in a crowded market. With consumer demand for relatability and digital-first branding on the rise, this segment will definitely grow. However, only brands that offer genuine value to consumers, and not just star appeal, are likely to endure,” said Devangshu Dutta, CEO, Third Eyesight.

(Published in The Hindu-Businessline)

Irresistible Edible Beauty Aesthetics

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July 28, 2025

Ananditha Anand, Deccan Chronicle (Hyderabad Chronicle)
Hyderabad, 28 July 2025

Beauty is borrowing from the bakery. Be it glazed donut skin, popularised by Hailey Bieber, jam lips, or strawberry freckles – food related makeup looks, as well as cosmetic marketing trends have been at an all-time high. In June 2025, around 2 lakh users looked up latte makeup on the image-based social media platform, Pinterest.

The Novelty Value

According to social-media-influencer Yashvi Bhaia, these trends bring a sense of novelty to cosmetic products. “Take a look at one of the body washes called Whipped Lush. It feels exactly like whipped cream – fluffy, foamy and sweet. This visual being attached to the product brings a pleasant connection,” she says.

Devangshu Dutta, founder of Third Eyesight, a management consulting firm, says, “Terms like choco mousse blush or berry lip tint evokes indulgence, comfort, and a sense of reward, transforming cosmetics into emotional experiences rather than just functional items.” Dutta likened these products to comforting treats, exuding warmth and a nostalgia for food they have consumed before, bottled in these makeup products.

Dhanashree Kavitkar is an avid follower of makeup trends on platforms like Instagram, as well as Chinese sites like Douyin and Red Note. She observes that the melding of the sensory elements of food and makeup “satisfied” the consumer.

“It works almost the same way ASMR does. When I think of jelly lips, I think edible, with a plump and glossy texture. And it just hits the right spot in my brain,” she says.

She also believes that many of these beauty trends, under the guise of novelty, are repackaging pre-existing makeup trends to make it appealing again. “Take strawberry freckle makeup for example, it is literally just drawing freckles on your face, but they gave it a new name to intrigue people,” she says.

Bina Punjani, owner of Bina Punjani Hair Studio says, “These are all marketing buzz-words created by online makeup companies, who wish to advertise to a younger audience.” She explains that food related nomenclature has existed forever in the realm of hair care products, with wines, chocolates, and caramels dominating the hair colour market.

“Sensory feelings have been a huge part of marketing and communication, be it on television, or anywhere else,” said Bhaia. “Now that marketing is so video-forward online, brands will create visuals associated with food,” she says.

Dutta adds that rather than a new concept, the increased intensity and consistency of these beauty brands employing food-related marketing on social media platforms differentiate it from their marketing in the 1980s – when it was first popularised.

Cultural Adaptation

Talking about the virality aspect of these makeup trends, Kavitkar points out how the looks trending in India (and around the world right now), were popular in East Asian countries like China and South Korea a year ago.

“Thanks to the matcha wave now, strawberry matcha makeup is popular. More East Asian food items like mochi and tanghulu have also picked up steam in the makeup space, and have gotten popular globally. But they can feel a bit alien to Indian consumers who don’t know these trends beforehand,” she says. Bhaia talks about how Indian cosmetic products adapted these trends to cater to the Indian “taste.” A leading brand has come up with lip products named masala chai, and jalebi glaze.

“These are such Indian terms, and they’ve been marketed so well. When you think of jalebi, you think of this shiny, orange-ish kind of thing, and you have a very clear visual of it.”

Just Another Trend

What keeps the novelty of these trends alive? Punjani thinks that it is the familiarity that we as humans draw towards nature and ourselves. “Suppose you look at your skin tone, and you see that exact shade in a pear – you end up drawing a psychological connection between the two,” she says.

Kavitkar thinks that they bring in a new wave of experimentation. She says, “Look at tangerine dream makeup. It is a mix of yellow and orange blush on your face, which looks so weird. If you saw someone wearing yellow blush outside, you’d be like, what the hell is she wearing? But that’s the beauty of this look, it’s so out of the box.”

Dutta notes that the frequency of usage of any imagery in the industry ebbs and flows with fashions. “Food, however, consistently provides an intuitive, emotional, and relatable entry point for consumers to engage with beauty, and will remain a versatile tool for building stories around pleasure, nostalgia, authenticity, and self-care,” he says.

While the world goes ‘bananas’ over ‘latte makeup’ and ‘gingerbread nails’ you can try the silent power of ‘smokey eyes’ and nude lips!

(Published in Deccan Chronicle)

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)

Shiprocket Unveils Shunya AI: What The E-Commerce AI Shift Means for MSMEs

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July 16, 2025

Prabhanu Kumar Das, Medianama
16 July 2025

E-commerce logistics platform Shiprocket announced the launch of Shunya.ai, a sovereign AI model developed in India to support the country’s Micro, Small and Medium Enterprises (MSMEs), on July 11. The company claims that it is India’s first multimodal AI stack, built in partnership with US-based Ultrasafe Inc.

This announcement comes at the heels of Shiprocket filing a confidential draft red herring prospectus (DHRP) with the Securities and Exchange Board of India (SEBI) in May 2025 for their Initial Public Offering (IPO). The company is expected to raise around Rs 2500 crore in its IPO.
What does the AI model offer?

As per Shiprocket’s website, Shunya.ai is built on a freemium model, with unlimited access priced at Rs 499 a month for MSMEs. It is directly integrated into the Shiprocket platform and offers AI agents across multiple languages. According to the company, the agents can perform the following tasks:

  1. Catalogue management and creation: It automates the creation and management of catalogues, and enables product listings in multiple languages.
  2. Ad campaign creation: It can assist in generating marketing campaigns in multiple languages as well as in creating the advertising content.
  3. Automated customer support: Offers AI chatbots for customer support.
  4. Streamlining delivery and logistics: The model can find the most efficient and affordable methods for delivery, as well as tracking orders.

Shiprocket CEO Saahil Goel stated, “We’ve adapted Shunya.ai from the ground up for Indian languages, commerce workflows, and MSME needs. By embedding it directly into our platform, we’re giving over 1,50,000 sellers instant access to tools that are intelligent, local, and scalable, levelling the playing field for businesses across Bharat.” Notably, Larsen and Toubro’s AI cloud arm, Cloudfiniti is reportedly providing the underlying GPU infrastructure, ensuring that all data processing and storage remains within India.

This AI model does offer multiple benefits but it will not level the playing field against big players, as per Devangshu Dutta who is the founder of specialist consulting firm, Third Eyesight.

“While Shunya AI can help small businesses compete better, it won’t completely level the playing field. Large companies still have greater organisational capacity and capability to respond to the insights offered, including more data and bigger budgets. The real benefit for small businesses is improving how they work and serve customers within their current markets, rather than suddenly competing with giants,” Dutta said.

The E-Commerce AI Pivot

This is not the first time that an Indian e-commerce platform has unveiled a B2B AI service through its existing platform. Zepto recently launched Zepto Atom in May 2025, a real-time tool that offers consumer brands available on the platform minute-level updates, PIN-code level performance maps, and Zepto GPT, a Natural Language Processing (NLP) assistant trained on internal data that brands can query about their stock keeping units (SKUs) and performance data.

Zomato and its e-commerce arm Blinkit have also been growing their AI capabilities. Analytics India Magazine previously reported that the company’s generative AI team has grown from 3 to 20 engineers in the time-span of a year. Zomato introduced a personalised AI food assistant for users, and also uses AI in its backend to optimise delivery times and improve consumer support. Blinkit also released the Recipe Rover AI in May 2023, an AI assistant for recipes.

Other companies like Swiggy with ‘What to Eat’ AI, Myntra’s MyFashionGPT AI shopping assistant, and Amazon’s Rufus have also adopted AI assistants on their platform as a tool for the consumer.

The issue of merchant stickiness

Dutta asserts that this shift means platforms like Zepto and Shiprocket are changing from being service providers to becoming data intelligence companies. They are generating, or are in the process of generating revenue through transactional data that flows through the company.

“While this can create better insights and automation for merchants on these platforms, it also could make the merchants more dependent on the platforms. Once a merchant builds its operations around a platform’s specific AI tools and insights, it becomes much harder to switch to a competitor – creating stronger merchant stickiness. We already see this in infrastructure and core services such as banking and financial services, enterprise cloud services, building management etc. and the same is likely to happen in AI-enabled process management”, he said.

Why this matters

As Shiprocket is preparing for an IPO, Shunya.ai becomes another means to generate revenue for the company. This app can extend Shiprocket’s reach to local physical stores and MSMEs, by offering them the opportunity to provide the same experiences and support to the consumer that larger retailers and e-commerce platforms do, while automating delivery automation, cataloguing, and customer support.

Furthermore, the launch of this model is also part of the larger trend of AI integration and automation, both within e-commerce platforms for their consumers and within the back-end for optimisation.

Competition in these sectors and merchant stickiness may also become an issue, as businesses hosted on these e-commerce services may become reliant on specific AI tools and their outputs.

Questions of data privacy are also important when it comes to service companies moving towards data intelligence: How do these AI models gather and use data? The consent of end-consumers in these B2B models, data storage, and security are all issues that need to be studied as e-commerce and retails pivots towards AI.

Some Unanswered Questions

MediaNama has reached out to Shiprocket with the following questions and will update the article when we receive a response.

  1. How does Shunya AI differentiate itself from other global or domestic AI tools being used in the logistics and e-commerce sectors such as Zepto Atom or Shopify Magic?
  2. What data is Shunya AI trained on? Is the training dataset sourced exclusively from Shiprocket’s operations, or are third-party data streams also used?
  3. What data will Shunya AI’s marketing campaign models access? How will it ensure privacy and data protection of the end consumer of the business who is using these models?
  4. How does Shiprocket ensure compliance with Indian data protection laws, especially given the scale of customer and seller data being used?

(Published in Medianama)

Amazon Arrives Late, But Can It Upset the Quick Commerce Apple Cart for Front-Runners?

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July 10, 2025

Alka Jain, Outlook Business
10 July 2025

Just when Blinkit, Instamart and Zepto were slowing down in their quick commerce game, Amazon’s entry may spur them towards a more aggressive race. The ecommerce giant has begun offering deliveries in as little as ten minutes in Delhi after Bengaluru, under the name ‘Amazon Now’.

“We are excited with the initial customer response and positive feedback, especially from Prime members. Based on this, we are now expanding the service over the next few months addressing immediate customer needs while maintaining Amazon’s standards for safety, quality and reliability,” the company said in an official statement.

Till now, the company was moving at its own pace with the idea that Indian consumers would wait a day or two for their deliveries. But the game has changed now—convenience is king here. Online shoppers want everything from milk to mobile chargers within a few minutes at their doorsteps.

And the big three of the quick commerce market—Blinkit, Instamart, Zepto—have cracked the consumer code perfectly. This trend has nudged Amazon and Flipkart to enter the 10-minute delivery segment. It started as an experiment in the larger ecommerce sector but has now become a necessity for online retailers.

Kathryn McLay, chief executive of Walmart International—an American multinational retail corporation—revealed that quick commerce now accounts for 20% of India’s ecommerce market and is growing at a rate of 50% annually. According to a Morgan Stanley report, the market is expected to reach $57bn by 2030.

Hence, Amazon could not afford to stay on the sidelines. The company has already pumped $11bn into Indian market since 2013 and recently announced another $233mn to upgrade its infrastructure and speed up deliveries. In addition, it has also opened five fulfilment centres across the country.

Despite continued investment, there are doubts if Amazon can disrupt the quick commerce game. Industry experts state that the ecommerce major’s late entry could upend the fragile unit economics of the space. It can even reignite discount wars and increase burn rate (a company spending its cash reserve while going through loss) for the incumbents, once the ecommerce giants begin to exert pressure and begin to capture market share.

Open Market, Thin Margins

Given the growth momentum and market size, quick commerce start-up Kiko.live cofounder Alok Chawla believes that there is definitely headroom to accommodate another player in the quick commerce market. However, margins may remain negative for a couple of years due to high business and delivery costs.

As per data, the average order value of ₹350–₹400 yields a gross margin of approximately 20% but high fulfilment and delivery costs (₹50–₹60 per order) significantly reduce overall profitability, often cancelling out most of the gains.

“Indian customers will not be willing to pay high shipping charges for convenience. But the market will continue to grow due to cart subsidies and shipping discounts. On top of this, profitability also remains quite some time away,” he says.

Even a survey by Grant Thornton Bharat, a professional services firm, shows that 81% of Indian quick commerce users cite discounts and offers as one of the main reasons they shop on platforms like Blinkit and Instamart.

But the fact is Amazon has extremely deep pockets, which means, the trio will once again have to get into aggressive discounting to protect their turf, said Chawla, indicating the possibility of higher cash burn quarters ahead.

In February, reports revealed that Indian quick commerce companies, including new entrants, were burning cash to the tune of ₹1,300–₹1,500 crore on a monthly basis. But a few months later, Aadit Palicha, chief executive of Zepto, a fast-growing 10-minute delivery platform, claimed that the company had slashed its operating cash burn by 50% in the previous quarter.

Still, the path to profitability remains shaky. Though Amazon can get an advantage of its existing huge customer base that is habitual of making online purchases including those in similar categories.

The real challenge lies beneath the surface because ecommerce and quick commerce operate on fundamentally different engines.

E-Comm vs Q-Comm: A Different Game

It may seem like a simple extension of what Amazon already does: deliver products. But in practice, the logistics, timelines and cost structures behind traditional ecommerce and quick commerce are different, said Somdutta Singh, founder and chief executive of Assiduus Global, a cross-border ecommerce accelerator that helps brands scale on global marketplaces through end-to-end solutions.

She explains the difference using a hypothetical situation: let’s say you order a phone case in Mumbai, which is picked from a nearby fulfilment centre. It will be added to a pre-routed delivery run with 30-50 other stops. This batching on the basis of route optimisation, keeps last-mile costs low, somewhere around ₹40–₹80.

But if you order the same item in a smaller town like Alleppey, it may first travel mid-mile from a hub in Cochin, then be handed off to a local partner like India Post. This increases the delivery time but keeps costs manageable through scale and planned routing.

This setup suits well in ecommerce business, which is built for reach and variety, not for speed. However, quick commerce runs on a completely different playbook because speed becomes priority here.

For instance, you order a pack of chips and a cold drink via Zepto in Andheri. These items are already stocked in a dark store within one to two kilometers of your home. The moment you place the order; someone picks it off the shelf. A rider is dispatched almost immediately and heads directly to your address.

There is no mid-mile movement, no routing logic and no batching. Each trip is a solo run. Delivery often happens within 10 to 15 minutes. This kind of speed relies on a dense network of local stores and a steady flow of short-range riders. But it also means higher costs.

“With no bundling of orders and lower average cart sizes, usually ₹250 to ₹300, the delivery cost per order can shoot up to ₹60 to ₹120. That is a heavy operational burden. Unlike traditional ecommerce, where cost efficiency scales with distance and order volume, quick commerce is constrained by geography and time pressure,” she explains.

So, it becomes more than just a category expansion for e-commerce platforms like Amazon and Flipkart. It marks a pivot in their “logistics thinking” and signals a broader shift in entry strategies. What once worked must now be retooled for hyperlocal and real-time operations.

Speed over Scale Not Easy

There are multiple challenges ahead for Amazon to make its presence felt and stay competitive in the quick commerce space. Firstly, it must build an operations and logistics layer that enables sub-15-minute deliveries, along with a technology stack to support it, according to Mit Desai, practice member at Praxis Global Alliance, a management consulting firm.

Second, it needs to build a dark store network to succeed in the space which is crucial to meet the 10-15 minutes delivery promise. Experts believe that a hybrid model will be the most successful in India—a mix of micro warehouses, partner stores and dark stores.

Desai states that Amazon’s existing capabilities can give it a base to build on, but it would also have to account for complexities and differences that come with the quick commerce business.

“For Amazon, the challenge will be operations. Can they build 700+ dark stores? Can they go hyperlocal? Can they navigate the chaos of Gurugram rain, Bengaluru traffic or the lanes of Dadar?” wonders Madhav Kasturia, founder and chief executive of Zippee, a quick commerce fulfilment start-up focused on hyperlocal deliveries and dark store management.

Another challenge can be repeat, loyal customers. As of now, customers check prices across platforms, and order where prices are the lowest. So, Amazon will have to spend heavily on discounts to gain market share. Chawla says retention will remain a problem because Zepto’s growth has also slowed down after a reduction in discounting burn.

However, Singh highlights that Amazon may not roll out everything in one shot. “We will likely see small-scale pilots, co-branded dark stores, local partnerships, new rider networks, tested in top cities before any nationwide push. They will also reveal whether it is viable to retrofit scale-driven e-commerce infrastructure into something that runs well in a hyperlocal loop,” she added.

Profitability Remains a Concern

While the quick commerce space is becoming increasingly dynamic with new entrants, the core question remains: is it a sustainable business model? The path to profitability is still fraught with operational complexity, margin constraints and uncertainty in consumer behaviour.

“Margins in quick commerce were never pretty to begin with,” says Kasturia. Yet he remains optimistic about the market because India’s grocery market is still largely untapped online.

As per data, India’s grocery and essentials market is over $600bn, of which online commerce is just three to four percent. Even quick commerce is sitting at ₹7,000–₹9,000 crore gross merchandise value today. So, the market isn’t crowded. It’s just early.

“We are barely scratching the surface,” he says, arguing that whoever wins customer behaviour, will lead the game. For example, in tier 1 cities, users no longer compare prices—they compare time.

For Amazon, this is both an opportunity and a constraint. Experts believe that the ecommerce giant can stand out by focusing on trust, hygiene and reliability—areas where existing players sometimes falter.

Kasturia says that the platform should not even chase everything, rather focus on profitable categories like fruits, dairy and personal care. “Build strong private labels. Nail density before geography and don’t discount blindly,” he adds.

The key is to build for reorders, not virality. That’s when customer acquisition cost (CAC) drops, margins compound and a player stops bleeding money per order. And to reduce the cost of dark stores, Chawla suggests an alternative route.

“Riding to neighbourhood stores for long-tail stock keeping unit can cut real estate and wastage costs,” he says, adding that it can decentralise inventory without owning all of it.

To follow this playbook, Devangshu Dutta, founder of Third Eyesight, a management consulting and services firm, says that every player needs to invest hundreds of crores before the model begins to show surplus cash. It will demand multiple, interlocked shifts—in pricing strategy, tech backbone, category mix, and even brand positioning.

Amazon’s entry doesn’t merely add another contender in the 10-minute delivery race—it rewrites the playbook for every player. The real question now is: can the frontrunners hold their turf, or will Amazon’s scale and deep pockets tip the balance of power?