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August 6, 2025
Naini Thaker, Forbes India
Aug 06, 2025
It’s a known fact that of the thousands of startups founded each year, only a small fraction survive—and even fewer scale to become unicorns. Rarer still are those unicorns which, after reaching dizzying heights, come crashing down. The Good Glamm Group is one such cautionary tale.
Once celebrated as a unicorn that cracked the code on content-to-commerce, the company’s meteoric rise was matched only by the speed of its unravelling. At the heart of its downfall lies a critical misstep: The relentless pursuit of growth through acquisitions and brand launches, even as cracks in its house-of-brands model began to show. Instead of pausing to consolidate and build sustainably, Good Glamm doubled down—prioritising valuation over viability.
That strategy came to a head on July 23 when founder and CEO Darpan Sanghvi announced the dissolution of the group’s house-of-brands structure. In a LinkedIn post, Sanghvi confirmed that lenders would now oversee the sale of individual brands, effectively ending the company’s vision of building a digital-first FMCG conglomerate.
Despite raising $30 million in 2024 and undergoing multiple rounds of restructuring, the group failed to integrate its acquisitions or generate sustainable profitability. With key investors such as Accel and Bessemer Venture Partners exiting the board and leadership turnover accelerating, the company’s ambitious empire—built on rapid expansion and aggressive brand aggregation—has now been reduced to a lender-led breakup.
In the aftermath of the announcement, Sanghvi offered a candid reflection on what went wrong. “In hindsight, it wasn’t one decision, one market force, or one acquisition. It was three levers we pulled, which together, turned Momentum into a Trap,” he wrote in a LinkedIn post. According to Sanghvi, the group’s downfall stemmed from doing “too much, too fast and too big”.
He elaborated: “At first, Momentum feels like your greatest ally. Every headline, every funding round, every big launch is a shot of adrenaline. And you start believing you can do more and more and more. But momentum has a dark side. If you stop steering and go in a hundred different directions, it doesn’t just carry you forward, it drags you faster and faster until you can’t breathe.”
Where The Model Broke?
In October 2017, Sanghvi launched direct-to-consumer (DTC) beauty brand MyGlamm. Most brands at the time were big on selling on marketplaces such as Amazon or Nykaa. However, Sanghvi believed, “We wanted to be truly DTC and not just digitally enabled. We believed that to own the customer, the transaction needs to happen on our own platform.”
But the biggest challenge with being a DTC brand is its customer acquisition cost (CAC). Towards the end of 2019, the company was spending about $15 (over ₹1,000) to acquire a customer to transact on their website. “Around the same time, our revenue run rate was ₹100 crore. We were spending about $0.5 million to acquire 30,000 customers a month. That’s when we realised it was time to solve the CAC problem,” Sanghvi told Forbes India in 2022. In an attempt to find a solution, Sanghvi turned to the content-to-commerce model.
And then, started the acquisition spree. According to Sanghvi, with a single brand in a single category one can’t build scale. He told Forbes India, “The most you can scale it is ₹1,000 crore, if you want a company that’s doing ₹8,000 or ₹10,000 crore in revenue, it has to be multiple brands across multiple categories.” In hindsight, this perspective might be debatable.
As Devangshu Dutta, founder of consultancy Third Eyesight, points out, the “house of brands” model is essentially a modern-day consumer-facing business conglomerate—and its success hinges on multiple factors working in harmony. While there are examples globally and in India of such models thriving, both privately and publicly, the reality is far more nuanced. “Brands take time to grow, and organisations take time to mature,” Dutta notes, emphasising that rapid aggregation of founder-led businesses under a single ownership umbrella is no guarantee of success.
In recent years, Dutta feels the influx of capital into early-stage startups and copycat models—often seen as lower risk due to their success in other geographies—has shortened business lifecycles and inflated expectations. The hope is that synergies across the portfolio will unlock outsized value, but that rarely plays out as planned. “It is well-documented that more than 70 percent of mergers and acquisitions fail,” he adds, citing reasons such as weak brand fundamentals, lack of synergy, inadequate capital, limited management bandwidth, and internal misalignment.
In the case of Good Glamm, these fault lines became increasingly visible as the group expanded faster than it could integrate or stabilise.
Scaling Without Steering
In FY21, the company had losses of ₹43.63 crore, which rose to ₹362.5 crore in FY22 and went up to ₹917 crore in FY23. Despite the mounting losses, Good Glamm marked its entry into the US market, in a joint venture with tennis player Serena Williams to launch a new brand—Wyn Beauty by Serena Williams. The launch was in partnership with US-based beauty retailer Ulta Beauty.
For its international expansion, it invested close to ₹250 crore over three years. “We anticipate that the international business will account for 25 to 35 percent of our total group revenues by the end of next year. This strategic focus on international expansion is pivotal as we prepare for our IPO in October 2025,” he told Forbes India in April 2024.
Clearly, things didn’t pan out as expected. As Sanghvi rightly points out, it was indeed a momentum trap. “You tell yourself you’ll fix the leaks after the next milestone. But the milestones keep coming, and so do the leaks. Soon, you’re running from fire to fire, never realising that the whole building is getting hotter. And somewhere along the way, you lose the stillness to think,” he writes on his LinkedIn post.
Dutta feels that a strong balance sheet is the most fundamental requirement, “to provide growth-funding for the acquisitions or for allowing the time needed for the acquisitions to mature into self-sustaining businesses over years. In the case of VC-funded businesses, the pressure to scale in a short time can go against what may be best for the business or for its individual brands”.
The Good Glamm Group’s fall is a reminder that scale alone doesn’t build resilience. Its story reflects the risks of expanding faster than a business can integrate, and of prioritising valuation over value. The house-of-brands model can work—but only when backed by strategic clarity, operational discipline, and patience. This is less a warning and more a reminder for founders: Scale is not success, and speed is not strategy.
(Published in Forbes India)
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August 5, 2025
Aakriti Bansal, Medianama
August 5, 2025
MediaNama’s Take: Swiggy is shifting from individual convenience to workplace capture. With DeskEats and Corporate Rewards, the company is embedding itself directly into the workday. This move is not just about food delivery. It is about becoming part of employees’ daily routines. More repetition leads to more orders, stronger retention, and access to a new layer of user behaviour: professional identity.
This approach draws from older models like office canteens and Sodexo meal cards. However, Swiggy reworks it for the app economy. Instead of fixed menus or closed ecosystems, it offers personalized choices tied to employer-subsidised benefits. That creates stickiness. When a company supports one app and offers discounts, switching becomes less likely.
The key question now is whether this integration creates lasting value or opens up new responsibilities. These include questions around consent, profiling, and where to draw the line between workplace systems and digital platforms.
What’s the News
Swiggy rolled out DeskEats, a curated food delivery collection for working professionals, in 30 cities and over 7,000 corporate hubs, according to Storyboard18. MediaNama also reviewed the feature on the Swiggy app. The collection includes categories like Stress Munchies, Healthy Nibbles, One-Handed Grabbies, and Deadline Desserts, aimed at common workday cravings.
During the pilot, DeskEats reached 14,000 companies and 1.5 lakh employees. Users can find it in the app by typing “Office” or “Work.”
Swiggy also launched Corporate Rewards, which lets users access benefits by verifying their work email. These include flat Rs 225 off food orders, Rs 2,000 off on Dineout, and Rs 100 off on Instamart.
On LinkedIn, Swiggy VP Deepak Maloo described Corporate Rewards as the professional version of its earlier Student Rewards program which offers perks like free deliveries, flat Rs 200 discounts, and deals starting at Rs 49, tailored for students aged 18–25 across India.
Financial Context
Swiggy may have launched DeskEats while under pressure to control its burn. In Q1 FY26, it spent Rs 1,036 crore on ads—a 132% jump and posted a loss of Rs 1,197 crore. DeskEats and Corporate Rewards offer a way to stabilise repeat orders without over-relying on discounts or ad spending.
The company’s adjusted Earnings Before Interest, Taxes, Depreciation and Amortisation (EBITDA) loss widened to Rs 813 crore. Overall, food delivery revenue grew by 20.2% year-over-year to Rs 2,080 crore, with order volume growing by 23.3%. At the same time, newer formats like ultrafast Bolt and SNACC are aimed at increasing consumption frequency and improving retention. These efforts signal Swiggy’s larger bet on everyday integration to drive value.
Platform Strategy and Corporate Integration
DeskEats gives Swiggy access to dense, time-sensitive demand during work hours. Devangshu Dutta, founder of Third Eyesight, says this helps streamline operations: “By integrating directly with workplaces, Swiggy can anchor itself in employees’ daily routines and provide a more predictable stream of orders.”
He adds, “Scheduled office meals create habitual consumption patterns and increase customer lifetime value, especially when the employer endorses a single platform and offers a favourable price-value mix.”
“This is the age-old model followed by contracted office canteens or cafeterias as well, but updated to the mobile app era, with more flexibility in terms of the items that an individual can order based on their own preferences”, Dutta added.
Furthermore Dutta opined, “Adoption is likely to be more in the larger cities where there is a greater concentration of demand and out-of-home consumption is higher among migrant professionals with high discretionary spending power.”
Data, Consent, and Workplace Targeting
To access Corporate Rewards, users verify with their work email. Swiggy hasn’t said whether it collects additional employee data or whether employers see usage metrics. It’s also unclear if enrolment is opt-in or automatic.
This concern mirrors recent questions raised about Zepto, which began recommending mood-specific product bundles like “Crampy” or “Ragey” based on user searches for PMS. Critics pointed out that such inferences may not be accurate and are often made without the user’s explicit awareness. Zepto’s privacy policy permits broad data collection, including health and behavioural patterns, but lacks clear disclosure on profiling. While Swiggy may not be doing this visibly, the direction of workplace-linked behaviour data raises similar concerns under India’s Digital Personal Data Protection Act (DPDPA), which still doesn’t regulate inferred or behavioural data clearly.
As this model scales, it raises questions under India’s DPDPA especially around purpose limitation and workplace-based profiling.
Why This Matters
Swiggy’s push into the workplace mirrors a broader shift across the food delivery market. Zomato recently launched ‘Zomato for Enterprise,’ a corporate food expense management platform that allows employees to charge business orders directly to their companies. With features like budgeting, ordering rules, and account toggling between work and personal use, Zomato is positioning itself as a paperless, digital alternative to legacy players like Sodexo. According to CEO Deepinder Goyal, over 100 companies have already onboarded the platform.
This move signals intensifying competition in the enterprise food space. While Zomato focuses on billing and reimbursements through employer-tied accounts, Swiggy is targeting recurring workplace consumption through curated menus and behavioural nudges. Both platforms appear to be building business-facing verticals that go beyond consumer ordering, aiming to lock in institutional clients and expand platform dependency within the workspace.
Unanswered Questions
MediaNama reached out to Swiggy with the following questions. The article will be updated when we receive a response:
Is Swiggy positioning DeskEats and Corporate Rewards as part of a larger shift into corporate benefits?
How do companies sign up for Corporate Rewards? Are there different plans or models based on company size?
What employee data does Swiggy collect when someone signs up using their work email?
Are DeskEats and Corporate Rewards linked to Swiggy One or any other paid subscription?
How many companies and users are currently active on DeskEats?
Does Swiggy plan to scale this into a standalone B2B vertical?(Published in Medianama)
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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)
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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)
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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:
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.
(Published in Medianama)