Tag: Why my CAC is high in D2c

  • Quick Commerce Is No Longer About 10-Minute Delivery — It Is Becoming a New Retail Format

    Quick Commerce Is No Longer About 10-Minute Delivery — It Is Becoming a New Retail Format

    When quick commerce started gaining traction in India, the big attraction was simple: get your order in 10 minutes.

    Milk, bread, eggs, snacks, cold drinks, fruits and vegetables — things people needed quickly could suddenly reach their homes without a trip to the neighbourhood store.

    For a while, the entire conversation was about speed.

    Who can deliver faster?

    10 minutes or 15 minutes?

    But I think we are now looking at something much bigger.

    Quick commerce is slowly becoming a new retail format.

    The reason is quite simple. These platforms are no longer trying to solve only an urgent shopping need. They are trying to become part of the customer’s regular shopping behaviour.

    Think about how people actually shop.

    They don’t always wake up thinking, “Today I will visit a grocery store.”

    They think, “We are out of milk.”

    “I need snacks for tonight.”

    “I forgot toothpaste.”

    “Guests are coming.”

    “I need a small gift.”

    These are shopping missions.

    Quick commerce is trying to capture these missions one by one.

    And that changes the game.

    The first generation of quick commerce was largely about groceries and everyday essentials. Today, the assortment is moving into many other categories — beauty, personal care, electronics, gifting, home products and more.

    Once the customer starts buying these categories regularly, the platform is no longer just delivering products.

    It is competing for the customer's basket.

    That is where I believe traditional retailers need to pay attention.

    Because the biggest change is not happening in delivery.

    It is happening in inventory.

    A 10-minute delivery promise sounds impressive to the customer. But behind that promise sits a much more complicated operation.

    The product has to be available close to the customer.

    The forecast has to be reasonably accurate.

    The right quantity has to be stocked.

    The order has to be picked quickly.

    The product has to be packed correctly.

    And someone still has to deliver it profitably.

    If the retailer keeps too little stock, the customer sees “out of stock.”

    Keep too much stock and the business starts carrying unnecessary working capital. Products age. Discounts increase. Fresh products get damaged. Wastage goes up.

    This becomes particularly important in fruits and vegetables and other perishables.

    A retailer cannot solve an availability problem simply by putting more stock into a dark store.

    The quality of the forecast matters.

    This is something I have seen repeatedly in retail. Inventory problems are often treated as a technology problem. In reality, the technology can only work as well as the demand data, processes and discipline behind it.

    That is why I think the next competitive battle in quick commerce will not simply be about who delivers in 10 minutes.

    It will be about who can maintain better availability without carrying excessive inventory.

    That is a very different game.

    Traditional retailers already understand many parts of this equation.

    They have spent decades managing assortment, inventory, margins, store productivity, shrinkage, wastage and working capital.

    What is changing is the operating model.

    A traditional store waits for the customer to walk in.

    A dark store waits for the order to come through the app.

    The traditional store uses shelves to present products.

    The quick-commerce platform uses the app to present products.

    The traditional retailer measures sales per square foot.

    The quick-commerce operator needs to think about sales, orders and contribution from each fulfilment location.

    The customer sees a simple app screen.

    Behind that screen is a fairly complex retail operation.

    And this is where I think the conversation around quick commerce needs to become more mature.

    Sales growth alone is not enough.

    Quick Commerce Retailers need to ask harder questions.

    What is the inventory turn?

    What percentage of orders get fulfilled completely?

    How often does the customer find the product unavailable?

    What does picking cost?

    What does delivery cost?

    How much inventory gets damaged?

    How much money is tied up in local inventory?

    And perhaps the most important question:

    Are customers coming back because the platform is genuinely useful, or only because someone is subsidising the order?

    These questions will become increasingly important as the sector matures.

    There is another change that I find particularly interesting.

    The traditional argument used to be:

    Online versus offline.

    I don’t think that is the right argument anymore.

    A physical store can also become a digital fulfilment point.

    A customer can walk into the store and buy something.

    Another customer, sitting two kilometres away, can order from the same inventory.

    The same store can therefore serve both customers.

    This changes the role of the store.

    It can become a place for shopping, product discovery, experience, fulfilment and local inventory — all at the same time.

    So, rather than asking whether quick commerce will replace traditional retail, I would ask a different question:

    How quickly will traditional retailers learn to operate with the same level of convenience? and How efficiently QUick Commerce companies can run like a Retailer to ensure backend excellence and inventory availability at optimium costs

    Because the customer has already changed.

    Once someone gets used to receiving a product within minutes, asking that customer to wait two days for a basic product can feel very different.

    Convenience changes expectations.

    And expectations eventually change retail.

    I don’t think the future of quick commerce will be decided by the fastest delivery time.

    The 10-minute promise helped create the market.

    But speed alone won’t build a sustainable retail business.

    The winners will need to get several things right at the same time:

    Right product. Right location. Right inventory. Right price. Right availability. Right cost.

    That is retail.

    Quick commerce has simply put that retail equation on a much smaller clock.

    And perhaps that is the real story.

    Quick commerce started by promising to deliver faster.

    It is now trying to change the way we shop.

    The next phase will tell us whether it can also change the economics of retail.

  • The Real Challenge in Fashion Retail: Turning Inventory into Profitable Sales

    The Real Challenge in Fashion Retail: Turning Inventory into Profitable Sales

    In fashion retail, the biggest problem is rarely buying merchandise.

    The real problem is what happens after the merchandise arrives.

    A retailer can have experienced buyers, strong vendor relationships, detailed market research, carefully planned ranges and significant seasonal budgets. Yet, at the end of the season, the same retailer may still find itself sitting on unsold inventory and offering deep discounts to clear it.

    That is the fundamental challenge of fashion retail.

    The question is not simply:

    “Did we buy the right merchandise?”

    The more important question is:

    “How efficiently did we convert the merchandise we bought into profitable sales?”

    Because in fashion retail, inventory does not just represent stock. It represents committed capital, planned gross margin, future markdown risk and, ultimately, the quality of merchandising decisions.

    Fashion Buying Is a High-Stakes Commitment

    A fashion buyer or merchandiser does not wake up every morning and purchase inventory based on yesterday’s sales.

    Fashion buying works very differently.

    Merchandising teams make commitments well in advance of the season. They study trends, review vendor presentations, analyse previous performance, understand customer preferences and build product ranges across categories.

    Typically, the merchandise portfolio contains three broad layers.

    The first is core merchandise. These are products that customers expect to find throughout the year. They may not always create excitement, but they provide consistency and predictable demand.

    The second is seasonal or festival merchandise. These products are designed around specific periods—festivals, weather changes, weddings or other demand peaks.

    The third and most challenging category is fashion merchandise.

    Fashion moves quickly. Consumer preferences shift. Colours, silhouettes, fabrics and styles can suddenly become desirable—or lose relevance.

    Retailers cannot ignore fashion because customers expect freshness. However, fashion buying involves significantly higher risk.

    And then comes another complex variable: size.

    The same product may perform differently across geographies because customer body profiles and size preferences differ. A size mix that works extremely well in Punjab may not work in the Northeast. A retailer operating across multiple regions cannot simply apply one universal size curve everywhere.

    Therefore, before the season even begins, the merchandising team has already made a series of critical decisions:

    What categories should we buy?

    Which designs should we select?

    How many options should we carry?

    How much inventory should we commit?

    What should be the size ratio?

    When should deliveries arrive?

    And how much of the budget should we allocate to each product category?

    Everything may appear perfectly planned.

    But fashion retail rarely follows the plan exactly.

    The Problem Is Not Always Demand Forecasting

    When inventory does not sell, the first solution many people suggest is demand forecasting.

    Better forecasting is certainly useful—but it does not solve the entire problem.

    Fashion retailers often place orders months before the merchandise reaches the store. Production has lead times. Vendors require advance commitments. Seasonal products may only be available during a specific manufacturing window.

    A retailer cannot simply wait until the season begins, observe customer demand and then immediately replenish the winning products.

    By the time the demand becomes clear, the buying decision may already have been made.

    Vendor capability also plays a major role.

    If a vendor can manufacture and replenish products frequently, the retailer can operate with greater flexibility. The retailer can test the market, identify winning styles and reorder them.

    But many seasonal and fashion products do not offer that luxury.

    They are produced for a particular season, ordered in advance and supplied according to a pre-decided delivery schedule.

    That means fashion retail is not merely a forecasting problem.

    It is a commitment and inventory-risk management problem.

    The quality of the buying decision depends not only on predicting what customers will buy, but also on understanding:

    How much should we commit before demand becomes visible?

    How much flexibility does our supply chain provide?

    How quickly can we react if the product performs differently than expected?

    These questions often matter more than improving the forecasting model by a few percentage points.

    The ₹100 Inventory Question

    Let us simplify the entire challenge.

    Imagine a retailer purchases merchandise worth ₹100.

    The most important question is not simply whether that ₹100 eventually sells.

    The important question is:

    At what price did it sell?

    That ₹100 worth of inventory can move through multiple stages.

    The first portion sells at full price.

    This is the most profitable outcome. The retailer captures the planned margin and validates the quality of the buying and merchandising decisions.

    The second portion sells during a planned festival or promotional period.

    The retailer may offer discounts, but these discounts are already part of the commercial plan. The retailer expects lower percentage margins but anticipates significantly higher sales volumes.

    This is not necessarily a problem.

    In fact, a well-planned festival period can generate substantial gross margin in absolute value because of the higher sales volume.

    The real problem begins with the third layer.

    This is the inventory that remains after the main selling opportunity has passed.

    Perhaps the design did not work.

    Perhaps the colour was wrong.

    Perhaps the fashion trend moved in another direction.

    Perhaps customers bought only certain sizes.

    The retailer may have sold Medium and Large but still be left with significant quantities of Small and Extra Large.

    Or the retailer may have sold one option within a product line while other options remained untouched.

    At this stage, inventory stops behaving like an asset.

    It begins behaving like a liability.

    Unsold Inventory Destroys Gross Margin

    Once merchandise misses its planned selling window, the retailer faces difficult choices.

    The first option is to offer deeper discounts.

    The second is to carry the inventory into the next period.

    The third is to attempt alternative channels to liquidate the stock.

    Each option carries a cost.

    Deep discounting directly affects gross margin.

    Carrying inventory forward blocks working capital and creates additional risk.

    And alternative liquidation channels require careful execution to avoid damaging the brand or cannibalising regular store sales.

    This is why gross-margin performance should never be evaluated only through sales growth.

    A retailer can achieve strong sales and still destroy profitability if too much inventory eventually moves through deep markdowns.

    The merchandising team’s real efficiency lies in its ability to convert committed inventory into sales at the right margin levels.

    A buyer who purchases ₹10 crore worth of merchandise is not necessarily successful because ₹10 crore eventually sells.

    The buyer becomes successful when a high proportion of that merchandise sells at full price or within planned promotional margins—and only a limited portion falls into distress liquidation.

    That is the difference between buying merchandise and managing inventory productivity.

    Every Fashion Retailer Needs a Margin Waterfall

    Retailers should stop looking at inventory as one large number.

    Instead, they should create a weekly inventory and margin waterfall.

    Every week, the merchandising and leadership teams should be able to answer four simple questions.

    How much inventory have we sold at full price?

    How much have we sold at planned festival or promotional prices?

    How much have we sold through additional markdowns?

    How much inventory is still left and at risk?

    This simple framework can dramatically improve decision-making.

    Because the problem becomes visible before the end of the season.

    If the retailer waits until the annual review to discover that gross margin has missed the budget, it is already too late.

    By then, the unsold inventory has accumulated, markdowns have accelerated and the organisation has lost its ability to take corrective action.

    Weekly visibility changes the conversation.

    The buyer no longer says, “Sales are looking good.”

    The organisation asks:

    Are we selling the right inventory at the right margin?

    That is a far more powerful question.

    Predict Gross Margin Before the Quarter Ends

    Once retailers track inventory through these different selling layers, they can begin predicting gross-margin performance much earlier.

    For example, if the retailer notices that a growing proportion of inventory is moving into deeper markdowns, management can immediately estimate the impact on future gross margin.

    Similarly, if full-price sell-through remains strong, the retailer can protect margin expectations even before the season ends.

    This creates a much more dynamic approach to gross-margin management.

    Instead of reviewing profitability after the quarter closes, the retailer can manage profitability while the season is still active.

    The merchandising team can identify slow-moving categories.

    Stores can rebalance inventory.

    Winning products can receive greater visibility.

    Slow-moving sizes can move to geographies where demand is stronger.

    Promotional activity can become targeted rather than broad.

    And management can intervene before the stock reaches the stage of distress liquidation.

    Alternative Channels Can Protect Inventory Value

    Today, fashion retailers also have an advantage that did not exist at the same scale a few years ago.

    They have direct access to customers through digital channels.

    Video commerce and live product selling have become particularly effective tools for inventory liquidation.

    For example, a retailer operating in the Northeast may find itself with merchandise that is not performing strongly in its local stores. Instead of immediately applying deep in-store discounts, the retailer can showcase the merchandise through video-led selling and reach customers beyond the physical catchment area.

    The objective is not simply to clear stock.

    The objective is to clear stock intelligently.

    A retailer should always try to find the highest-value channel available for unsold merchandise before moving to aggressive markdowns.

    Digital selling, live commerce, targeted customer databases and inter-store inventory transfers can all provide additional opportunities to recover value.

    The key is to act early.

    The longer a retailer waits, the fewer options remain.

    The KPI That Fashion Retailers Should Watch Every Week

    Fashion retail leaders need to move beyond traditional sales reporting.

    The most important weekly KPI framework should connect inventory, sell-through and realised margin.

    A merchandising team should know how much of its inventory has moved through:

    • Full-price sales
    • Planned festival or promotional sales
    • Additional markdown sales
    • Unsold and ageing inventory

    This should not remain a year-end analysis.

    It should become a weekly management discipline.

    Because the moment a retailer understands the composition of its sales, it also begins to understand the future composition of its gross margin.

    And that is where better decisions begin.

    The Bottom Line

    Fashion retail will always involve uncertainty.

    Trends will change.

    Customers will surprise buyers.

    Sizes will behave differently across regions.

    Some designs will outperform expectations while others will fail completely.

    No forecasting system can eliminate these realities.

    But retailers can control how quickly they identify risk and how intelligently they respond to it.

    The strongest fashion retailers will not necessarily be the ones that predict every trend perfectly.

    They will be the ones that build a more efficient system for converting inventory into profitable sales.

    Because ultimately, the real measure of merchandising success is not how much merchandise a buyer purchased.

    It is not even how much merchandise the retailer sold.

    The real measure is much more powerful:

    How much of the inventory sold at full price, how much sold within planned promotional margins, how much required additional discounting—and how much was left behind?

    When a retailer starts reviewing these numbers every week, inventory stops being a year-end problem.

    It becomes a business variable that management can actively control.

    And in fashion retail, where every buying decision carries risk, that visibility can be the difference between meeting the gross-margin budget and watching it disappear into markdowns.

  • The Retail Expansion Trap: Why Growth Between 10 and 30 Stores Matters Most

    The Retail Expansion Trap: Why Growth Between 10 and 30 Stores Matters Most

    Expansion is exciting. It gives a company the feeling of spreading its wings into new geographies, reaching new customers and building a stronger brand footprint.

    And that is exactly where the danger often begins.

    A retailer opens its first few stores outside its original market. The initial response is encouraging. Footfalls look healthy, customers appreciate the brand, and a few locations perform better than expected. Confidence rises. Suddenly, the organisation starts thinking bigger: If five stores can work, why not 20? If 20 can work, why not 50?

    The expansion engine accelerates.

    New locations are signed. Store openings become frequent. Teams become busy. The number of stores becomes a symbol of growth.

    Then, three to six months later, reality begins to surface.

    Some stores are performing well. Others are struggling. A few are nowhere close to the business case that justified their opening. Rentals are high, competition is stronger than anticipated, merchandise is not moving as expected, and catchments are behaving very differently from the original assumptions.

    Now imagine this happening not to one store, but to ten or fifteen stores simultaneously.

    The impact on the bottom line can be enormous.

    Expansion Is Not About Opening Stores. It Is About Repeating Success.

    Retail expansion is often mistaken for a real estate exercise. Find a location, negotiate the rent, sign the property and open the store.

    In reality, successful expansion is a far more complex process.

    Every new store represents a combination of several variables:

    • The right geography
    • The right micro-market
    • The right catchment
    • The right customer demographic
    • The right competition landscape
    • The right store size
    • The right merchandise mix
    • The right price points
    • And, of course, the right rental economics

    A mistake in any one of these variables can affect store performance. A mistake in several variables can turn a promising expansion plan into a financial burden.

    Consider a fashion retailer entering a new city. The company may identify a busy market and assume that high footfall will automatically translate into sales. But what if that footfall consists largely of students with lower spending power? What if three established fashion retailers already dominate the market? What if the retailer has selected a 15,000-square-foot store when the catchment can realistically support only an 8,000-square-foot format?

    The store may look impressive. The location may appear busy.

    But the economics may never work.

    That is why expansion should not focus only on where to open. It must focus equally on why that particular store should succeed.

    Catchments Have Changed Dramatically

    Retail catchment behaviour has also changed significantly.

    Earlier, retailers often considered a three- to five-kilometre radius while assessing a store’s potential. Today, particularly in dense urban markets, the effective catchment can be much smaller.

    In many large cities, customers do not want to travel unnecessarily.

    Why should they?

    There are competing brands nearby. Shopping malls are nearby. Local high streets offer alternatives. Online shopping provides another option altogether.

    In many urban markets, the practical catchment for a convenience-oriented fashion or lifestyle store may shrink to one or two kilometres.

    However, this logic cannot simply be copied across India.

    The situation changes dramatically in Tier 2, Tier 3 and Tier 4 towns.

    Many of these markets operate as self-contained ecosystems. Customers may willingly travel three, four or even five kilometres to visit a strong destination store. If the store offers the right combination of assortment, pricing, brand experience and product availability, distance becomes less of a barrier.

    For example, a well-designed value-fashion store in a smaller town may attract customers from several surrounding neighbourhoods because there are limited comparable options. In such a market, the retailer can build a much wider catchment than it could in a highly competitive metropolitan area.

    This is why a standard expansion formula is dangerous.

    The same catchment assumptions cannot work everywhere.

    The First Six Months Can Make or Break the Expansion Strategy

    The real challenge often starts after the store opens.

    The first three to six months are critical.

    During this period, the retailer discovers whether its assumptions were correct. Is the expected customer actually coming? Is the conversion rate healthy? Are customers buying the right categories? Is the average transaction value sufficient? Is the store attracting repeat customers?

    If one new store struggles, the organisation can usually manage the situation.

    But expansion creates a multiplier effect.

    Suppose a retailer opens 15 stores within six months. If ten of those stores underperform during their initial months, the company faces multiple pressures simultaneously: higher fixed costs, inventory requirements, employee expenses, rentals and working capital pressure.

    By the time the management fully understands what went wrong, the financial impact may already be substantial.

    This is one of the biggest differences between opening five stores and opening 30 stores.

    At five stores, mistakes are manageable.

    At 30 stores, mistakes become expensive.

    Retail History Has Already Taught Us This Lesson

    India has seen this pattern before.

    During the retail boom of the mid-to-late 2000s, there was enormous enthusiasm around expansion. Retailers were opening stores across cities and regions at a rapid pace.

    Growth itself became the objective.

    Stores opened everywhere.

    But not every store worked.

    Many retailers eventually had to close stores, withdraw from regions or rethink their formats. The problem was not that expansion was wrong. The problem was that companies expanded faster than they learned.

    A retailer would assume that a particular catchment would perform well. It would not.

    Another store would struggle because the customer profile was different from what the company expected. A third location would suffer because competition changed after the store opened.

    The most successful retailers were not necessarily those who made the fewest mistakes.

    They were the ones who learned from mistakes faster.

    That distinction is crucial.

    East India Is Entering a More Competitive Retail Phase

    This lesson is particularly relevant for East India today.

    The region has witnessed a significant increase in fashion and apparel retail activity. Numerous local and regional retailers have emerged alongside larger national players. Many of these companies have already expanded to 10, 20 or 30 stores, while some have grown much larger.

    Competition is no longer limited to a handful of established brands.

    A retailer entering a new market today must understand that the customer has more choices than ever before.

    This makes processes extremely important.

    A company cannot depend only on the intuition of its promoters or expansion team. It needs a disciplined operating system that continuously evaluates store performance.

    Regular retail audits become essential.

    Merchandise quality must remain consistent.

    Price points must match local purchasing behaviour.

    Data must reveal what is working and what is not.

    Management needs to ask sharper questions:

    Why is one store converting better than another?

    Why is the same merchandise selling in one town but not another?

    Why has footfall increased without a corresponding increase in sales?

    Is the problem the catchment, the merchandise, the price or the store experience?

    The faster a retailer identifies the real issue, the faster it can act.

    The Most Dangerous Phase Is Often Between 10 and 30 Stores

    Moving from 10 stores to 30 stores is one of the most critical stages in a retailer’s journey.

    The company is no longer small enough to manage everything informally.

    But it may not yet be large enough to have mature systems, strong data infrastructure and specialised leadership across every function.

    This is the risky zone.

    The promoter can no longer personally understand every market.

    The expansion team can no longer rely purely on experience.

    Store managers cannot operate without standardised processes.

    And small operational weaknesses begin to multiply.

    Yet this phase is also the gateway to larger scale.

    If a retailer cannot build strong processes between 10 and 30 stores, scaling from 30 to 100 stores becomes extremely difficult.

    The objective, therefore, should not simply be to open more stores.

    The objective should be to build the capability to operate more stores successfully.

    Growth Requires Better Metrics and Faster Action

    The future of retail expansion will belong to companies that combine ambition with discipline.

    Retailers need to track the right metrics, not just top-line sales. They need to understand store productivity, conversion, repeat customers, category performance, inventory movement, rent-to-sales ratios and local competitive changes.

    More importantly, they need to act quickly.

    A problem identified after six months is expensive.

    The same problem identified after four weeks may still be manageable.

    Expansion will always involve uncertainty. No retailer can predict every catchment perfectly. Not every store will succeed exactly as planned.

    But the goal is not to eliminate mistakes.

    The goal is to reduce the cost of mistakes and increase the speed of learning.

    Because in retail, expansion is not ultimately a test of how fast you can open stores.

    It is a test of how fast you can learn, correct and improve while opening them.

  • Hiring talent will not help if business processes undefined – build processes

    Hiring talent will not help if business processes undefined – build processes

    Before you blame your people for poor performance, ask yourself one question:
    Have you given them a process that allows them to succeed?
    Most business performance problems are not people problems. They are process problems.
    You may recruit highly skilled, capable people. But without clear processes, even the best talent cannot perform at its full potential.
    People need clarity: what to do, when to act, who owns the decision, and which framework should guide that decision. When these are unclear, decisions slow down. Employees naturally fall back on personal judgment, past experiences, and practices learned in previous organizations.
    The result is inconsistent execution.
    And inconsistency eventually reaches the customer.
    Different employees create different experiences, send different signals, and shape different perceptions of the same brand. You may invest heavily in customer acquisition, Customer Lifetime Value (CLV), retention, or Net Promoter Score (NPS), yet customers may still leave through gaps created by poorly defined processes.
    While one part of the business brings customers in, another may be pushing them out.
    This is why scalable organizations do not grow simply by adding more people. They grow by creating clear operating processes, defined decision-making frameworks, accountability, and consistency across the customer journey.
    People perform better when expectations are clear and decisions follow a structured path. A chaotic environment creates delays, confusion, inconsistent outcomes, and unnecessary pressure.
    Before questioning whether your people are capable, evaluate the system in which they are expected to perform.
    The right people create results. The right processes make those results repeatable, scalable, and sustainable.
    Fix the process before blaming the people.

  • The ₹100 Crore Retailer: How Much Inventory Should It Actually Carry?

    The ₹100 Crore Retailer: How Much Inventory Should It Actually Carry?

    A retailer tells me:

    “We are now a ₹100 crore business.”

    My next question is usually not about sales.

    I ask:

    “How much inventory are you carrying?”

    The answer can tell us a lot more about the health of the business than the ₹100 crore revenue number itself.

    One retailer may be doing ₹100 crore with ₹6 crore of inventory.

    Another may need ₹18 crore.

    Both can be perfectly healthy.

    Or both can have a serious inventory problem.

    The difference lies in the business model, category, gross margin, inventory velocity, supplier lead time, assortment and, importantly, how much of that inventory is actually saleable.

    So, if you run a ₹100 crore retail business, what should your inventory really look like?

    There is no single answer.

    But let’s look at the economics category by category.


    Start with the basic calculation

    A simple way to think about inventory is:

    Inventory = Cost of Goods Sold × Inventory Days ÷ 365

    So, if a retailer has ₹100 crore of sales, a 50% gross margin means its annual COGS is approximately ₹50 crore.

    If the business carries 75 days of inventory:

    ₹50 crore × 75 ÷ 365 = ₹10.3 crore

    That gives us a starting point.

    But the interesting part begins when we apply this to different retail businesses.


    Fashion: ₹9–10 crore may not be unusual

    Consider a ₹100 crore fashion retailer.

    Suppose:

    • Gross margin: 55%
    • COGS: ₹45 crore
    • Inventory: 75 days

    The inventory requirement works out to approximately ₹9.2 crore.

    At first glance, that may look reasonable.

    But I would immediately ask another question:

    How much of that ₹9.2 crore is current and how much is ageing?

    Imagine the inventory looks like this:

    ₹5.5 crore — fast-moving/current ₹1.5 crore — normal-moving ₹1 crore — slow-moving ₹700 lakh — ageing ₹500 lakh — effectively dead

    The balance sheet still says ₹9.2 crore inventory.

    But commercially, it is a very different story.

    This is why fashion retailers should not look only at inventory value.

    They need to look at inventory age, sell-through and expected realisation.

    A ₹10 crore inventory number can be healthy.

    It can also be the beginning of a ₹3 crore markdown problem.


    Grocery: ₹5 crore can support ₹100 crore of sales

    Now take grocery.

    Suppose:

    • Gross margin: 25%
    • COGS: ₹75 crore
    • Inventory: 25 days

    Inventory requirement:

    ₹75 crore × 25 ÷ 365 = ₹5.1 crore

    That’s a completely different inventory structure.

    Why?

    Because grocery moves much faster.

    The retailer buys, sells and replenishes continuously.

    Now imagine this retailer carries 60 days instead of 25.

    Inventory becomes:

    ₹75 crore × 60 ÷ 365 = ₹12.3 crore

    The retailer has not generated one additional rupee of sales.

    But another ₹7.2 crore has become tied up in inventory.

    That is the part of inventory management that often gets missed.

    Inventory is not free.

    Every additional rupee sitting on the shelf is a rupee that cannot be used somewhere else.

    core expertise cgrbrands.com

    Beauty: the ageing problem is different

    Beauty is another interesting example.

    Take:

    • ₹100 crore sales
    • 55% gross margin
    • ₹45 crore COGS
    • 60 inventory days

    Inventory:

    ₹45 crore × 60 ÷ 365 = ₹7.4 crore

    So perhaps ₹7–8 crore of inventory looks reasonable as an illustrative starting point.

    But beauty has another risk:

    expiry and product relevance.

    A product sitting in the warehouse for six months is not necessarily the same economic asset as a product that sells every week.

    And then there are:

    • New formulations
    • Packaging changes
    • Seasonal products
    • Shade variations
    • New launches
    • Consumer preference changes

    So the question isn’t simply:

    “How much inventory do we have?”

    It is:

    “How much of our inventory is likely to convert into cash at the expected margin?”

    That is a much more useful question.


    Electronics: inventory can become obsolete before it becomes slow-moving

    Electronics is even more interesting.

    Assume:

    • ₹100 crore sales
    • 20% gross margin
    • ₹80 crore COGS
    • 60 inventory days

    Inventory:

    ₹80 crore × 60 ÷ 365 = ₹13.2 crore

    So an electronics retailer could be carrying ₹13 crore or more.

    But electronics has a unique risk.

    Technology moves faster than inventory.

    A product can be perfectly saleable today and commercially unattractive six months later.

    A new model arrives.

    The manufacturer reduces prices.

    A competitor launches a better product.

    Customers wait for the next version.

    Suddenly, ₹2 crore of inventory may require discounting.

    This is why I would rather see an electronics retailer carrying ₹14 crore of highly productive inventory than ₹10 crore containing ₹3 crore of ageing stock.

    The lowest inventory number is not necessarily the best inventory position.


    Furniture: ₹18 crore may actually be reasonable

    Furniture creates another interesting contrast.

    Suppose:

    • Gross margin: 45%
    • COGS: ₹55 crore
    • Inventory: 120 days

    Inventory:

    ₹55 crore × 120 ÷ 365 = ₹18.1 crore

    That sounds huge compared with grocery.

    But should we immediately call it inefficient?

    No.

    Furniture has:

    • Longer buying cycles
    • Longer supplier lead times
    • Larger ticket sizes
    • Large display requirements
    • Lower purchase frequency
    • Higher logistics complexity

    So 120 days of inventory may be perfectly understandable for the business.

    This is why comparing a furniture retailer’s inventory days with a grocery retailer’s inventory days is meaningless.

    Inventory benchmarks have to be category-specific.


    Footwear: having inventory doesn’t mean having availability

    Now consider footwear.

    Suppose:

    • ₹100 crore sales
    • 50% gross margin
    • ₹50 crore COGS
    • 75 inventory days

    Inventory:

    ₹50 crore × 75 ÷ 365 = ₹10.3 crore

    Again, roughly ₹10 crore.

    But here’s the problem.

    Footwear doesn’t just have SKU-level inventory.

    It has size-level inventory.

    You may have:

    100 pairs of a particular style.

    But if your customers predominantly want sizes 8, 9 and 10, having 40 pairs in sizes 6 and 7 doesn’t solve the problem.

    You can have:

    ₹10 crore of inventory

    and still tell customers:

    “Sorry, your size is unavailable.”

    This is where inventory productivity becomes much more important than inventory value.


    D2C: the problem often starts with the buying decision

    D2C businesses have another challenge.

    Suppose a ₹100 crore D2C brand has:

    • 60% gross margin
    • ₹40 crore COGS
    • 60 inventory days

    Inventory:

    ₹40 crore × 60 ÷ 365 = ₹6.6 crore

    That looks efficient.

    But now look inside the number.

    Suppose the brand has 100 SKUs.

    10 SKUs generate most of the demand.

    30 are average.

    60 are struggling.

    The overall inventory number may still look perfectly acceptable.

    But the problem is sitting at the SKU level.

    This is where I believe many D2C businesses need to move from:

    “How much inventory do we have?”

    to:

    “Which SKUs are consuming our working capital?”

    Because one bad buying decision repeated across 50 SKUs can quietly lock up crores.


    So, what does a ₹100 crore retailer really need?

    Using the illustrative assumptions above, the picture could look something like this:

    Article content

    These are illustrative calculations, not universal industry targets.

    And that’s exactly the point.

    There is no magic number called:

    “Ideal inventory for a ₹100 crore retailer.”


    The bigger question is inventory productivity

    Let’s say two retailers both have ₹100 crore revenue.

    Retailer A carries:

    ₹8 crore inventory

    Retailer B carries:

    ₹16 crore inventory

    It is tempting to say Retailer A is twice as efficient.

    But we need to know more.

    What if Retailer A is constantly out of stock?

    What if it is losing sales because its best-selling SKUs aren’t available?

    What if Retailer B has higher availability and faster growth?

    Now the answer changes.

    The objective isn’t:

    Minimum inventory.

    The objective is:

    Optimum inventory.

    Enough inventory to maintain availability and support growth.

    But not so much that working capital gets trapped in slow-moving or obsolete stock.


    And this is where I would ask a ₹100 crore retailer five questions

    1. How many inventory days are we carrying?

    Not just at company level, but by category and channel.

    2. What percentage of inventory is older than 90/120/180 days?

    Ageing tells us much more than the total number.

    3. Which SKUs are consuming working capital without producing sufficient sales?

    This is where SKU-level analysis becomes powerful.

    4. Where are we overstocked while another store/channel is out of stock?

    Inventory in the wrong location is almost as problematic as not having inventory.

    5. If sales grow from ₹100 crore to ₹150 crore, how much additional inventory will we need?

    This may be the most important question of all.


    The ₹100 crore → ₹150 crore test

    Suppose a retailer grows from ₹100 crore to ₹150 crore.

    The conventional approach says:

    Sales +50% → Inventory +50%

    So:

    ₹10 crore inventory → ₹15 crore.

    But what if better forecasting, replenishment, transfers and assortment management allow the retailer to reach ₹150 crore with ₹12 crore inventory?

    The business has effectively released ₹3 crore of capital.

    No new store.

    No additional borrowing.

    No additional investor capital.

    Just better inventory productivity.

    That is why inventory management should not sit only with the supply-chain team.

    Inventory is a finance issue.

    Inventory is a merchandising issue.

    Inventory is a buying issue.

    Inventory is a customer-experience issue.

    And ultimately, inventory is a CEO issue.


    The number I would like every retailer to know

    Not:

    “Our inventory is ₹12 crore.”

    But:

    “Every ₹1 of inventory in our business generates ₹X of annual sales and ₹Y of gross margin, and we know exactly where the unproductive inventory is.”

    That is a much more meaningful measure of retail health.

    Because the objective of inventory is not to sit in a warehouse.

    It is not to fill a store.

    It is not even to make the balance sheet look healthy.

    Inventory has only one job: to be converted into sales, margin and ultimately cash.

    And the faster and more profitably you can do that—without compromising availability—the stronger your retail business becomes.

    ₹100 crore of sales is a milestone.

    But ₹100 crore of sales with disciplined inventory is a much stronger business.


    What is your view?

    For a ₹100 crore retailer, what is more dangerous:

    ₹5 crore of excess inventory—or ₹5 crore of lost sales because of stockouts?

    I’d be interested in hearing how retailers and D2C businesses are looking at this today.

    Welcome

  • India What a Decade of Borrowing Actually Bought Us. Are we in a Debt Trap?

    India What a Decade of Borrowing Actually Bought Us. Are we in a Debt Trap?

    India’s Public Debt Story (2015–2025): What a Decade of Borrowing Actually Bought Us. Are we in a Debt Trap?

    India’s combined government debt has roughly doubled over the past decade. Central government debt alone climbed from about ₹121 trillion in FY2020 to an estimated ₹197 trillion by FY2026. State liabilities nearly tripled, from ~₹32.6 trillion in FY2016 to ~₹94 trillion by FY2025.

    Numbers like these trigger one of two reactions: alarm or indifference. Neither is entirely right.

    The better question is: What drove this rise, where did the money go, and where does it leave India today?

    Here’s the decade, unpacked.

    The pattern: steady drift, then a shock, then a slow climb-down

    Pre-2020, India’s fiscal deficit sat in a fairly disciplined 3–4% of GDP band, broadly consistent with FRBM targets — even if actual numbers occasionally missed the mark (FY2019 came in around 3.4% against a 3.3% target).

    Then COVID hit. The central fiscal deficit spiked to roughly 9.5% of GDP in FY2021 as revenue collapsed and emergency spending — cash transfers, free food grain, MSME credit guarantees, health spending — went out the door. Debt-to-GDP jumped by an estimated 8–10 percentage points in a single year.

    Since then, the story has been consolidation: the deficit has been brought down to around 5–6% of GDP, with a budgeted target of 4.4% for FY2026. It’s real progress, even if the debt base it’s working off is now structurally higher than it was five years ago.

    Three episodes that explain most of the swings Debt to GDP ratio %

    Demonetisation (Nov 2016): Intended to curb black money and push digital transactions, it also slowed activity and tax collections in the short run — GDP growth cooled and the fiscal deficit widened modestly (to around 3.5% of GDP against a 3% target) in FY2017.

    GST rollout (Jul 2017): A genuine structural reform with long-term revenue upside, but the transition wasn’t free. Collections initially undershot expectations, and the Centre had to borrow to compensate states during the changeover — nudging FY2018’s deficit above target.

    COVID-19 (2020–21): By far the biggest driver. A relief package of ₹20 trillion, layered onto a collapsing revenue base, took the deficit from roughly 3.5% to 9.5% of GDP in one year. Was it worth it? Most independent analyses — including from the IMF and RBI — suggest yes: the counterfactual (a sharper austerity response) likely meant a materially deeper contraction. The trade-off was a permanently higher debt stock in exchange for a shallower recession.

    Add to this two smaller but persistent pressures: periodic PSU bank recapitalisation (roughly ₹2.2 trillion across FY2018 and FY2020, needed to clean up bad loans) and an expanding footprint of welfare and housing schemes (PMAY, Ujjwala, MGNREGA) that keep revenue spending elevated even as capital expenditure has also been rising.

    The quiet number that matters most: interest payments

    Debt totals get the headlines, but the number that actually constrains policy choices is the interest bill. Central government interest payments rose from about ₹6.6 trillion in FY2020 to roughly ₹8.1 trillion by FY2022 and now consume somewhere in the range of 20–25% of central revenue receipts. That’s revenue that isn’t available for capex, subsidies, or further consolidation — it’s simply the cost of past borrowing. As global and domestic interest rates moved up through 2022–23, this burden has only gotten heavier.

    Where did the borrowed money go?

    It helps to separate how much India borrowed from what it was spent on. The story changed significantly after COVID:

    • FY2020–21: Borrowing largely supported emergency needs — food distribution, welfare support, MSMEs and bank recapitalisation. Necessary at the time, but with limited long-term growth impact.
    • FY2022–24: The focus shifted toward capital expenditure — roads, railways, healthcare and infrastructure. Capex as a share of GDP steadily increased.

    The positive shift: India increasingly moved from borrowing to support consumption toward borrowing to build productive assets.

    The road ahead

    The government’s own glide path targets a fiscal deficit closer to 4% of GDP, with debt-to-GDP expected to ease from its COVID-era peak (above 60%) toward the high-50s by FY2026. Getting there sustainably will likely depend on a few things playing out together: continued nominal GDP growth outpacing debt growth, disciplined targeting of subsidies rather than blanket cuts, tighter oversight of contingent liabilities and off-budget borrowing (state guarantees, PPP obligations), and a continued shift of the expenditure mix toward capital rather than revenue spending.

    None of this is dramatic. Fiscal consolidation rarely is — it’s mostly the unglamorous work of holding a line over several budget cycles. But the direction, so far, has been the right one.

     The takeaway

    The last decade brought demonetisation, GST, COVID-19 and a major infrastructure push. As a result, India’s public debt is roughly twice what it was in 2016.

    But debt is only one side of the story. India also built a stronger digital payments ecosystem, a unified tax system and significantly better infrastructure, while managing a strong post-COVID recovery.

    The key question now isn’t how much India owes, but whether economic growth can continue to outpace the growth in debt.


    What’s your read — was the post-COVID borrowing surge the right call, or did it set a debt base that will constrain policy for years to come? Would like to hear other perspectives on this.

    #IndianEconomy #PublicFinance #FiscalPolicy #Macroeconomics #Debt #Budget2026 #EconomicPolicy #India

  • D2C Brands: Stop Chasing Revenue. Start Measuring Customer Profitability.

    D2C Brands: Stop Chasing Revenue. Start Measuring Customer Profitability.

    For years, D2C has been presented as the smarter way to build a consumer brand.

    Go directly to the customer. Avoid expensive stores. Build your own digital identity. Use social media to acquire customers. Scale quickly.

    It sounds simple.

    But the reality is very different today.

    D2C Brands: Stop Chasing Revenue. Start Measuring Customer Profitability.

    Customer acquisition costs are rising. Competition is increasing. Online marketplaces are crowded. Consumers have endless choices. And customer loyalty is becoming harder to earn.

    So the real question for a D2C brand today is not:

    “How do I sell more online?”

    It is:

    “How does my customer actually make a purchase decision, and where should I be available when that decision happens?”

    That requires looking beyond the D2C label.


    The D2C customer is not one customer

    One of the biggest mistakes brands make is treating their online customer as a single segment.

    India has very different consumer groups—from affluent consumers to upper-middle-class, middle-income and value-conscious households.

    But income alone does not determine behaviour.

    Category determines behaviour.

    A consumer may be extremely price-sensitive when buying groceries but may pay a premium for skincare.

    The same person may compare five furniture brands before buying a sofa but purchase a familiar FMCG product almost automatically.

    That is why customer behaviour has to be understood category by category, occasion by occasion and need by need.

    Consider a few examples.

    Fruits & vegetables

    Freshness, availability, convenience and price can dominate the decision.

    Furniture

    Durability, finish, design, comfort, quality, price and confidence in the product become important.

    Beauty & cosmetics

    Product efficacy, ingredients, packaging, reviews, colour, price, trust and brand image can all influence the decision.

    There is therefore no universal D2C customer.

    There are category-specific customers with different reasons to buy.


    The customer knows more—but not necessarily enough

    The digital consumer today has extraordinary access to information.

    With a few clicks, customers can compare:

    • Prices
    • Reviews
    • Features
    • Competitors
    • Offers
    • Influencer opinions
    • Product demonstrations
    • Customer experiences

    But information availability does not automatically create understanding.

    The customer may see ten products but still struggle to decide which one is right.

    That is where trust, reviews, brand credibility, product experience and availability become critical.

    And this is where physical retail still has an important role.

    A customer can touch a product.

    See its finish.

    Try it.

    Speak to someone.

    Understand the difference between two products.

    And sometimes, simply seeing the brand in a physical environment creates confidence.


    The biggest D2C problem today: Customer acquisition

    Digital platforms have made customer access easier.

    They have also made competition much more intense.

    A D2C brand is competing for attention on the same platforms as hundreds or thousands of other brands.

    Meta, Instagram, YouTube, Google and marketplaces can generate enormous reach.

    But reach comes at a price.

    As more brands compete for the same audience:

    Customer acquisition becomes more expensive.

    And if the customer makes one purchase and never returns, the economics become even more difficult.

    This creates a dangerous cycle:

    Higher advertising spend → higher acquisition cost → lower contribution → greater dependence on repeat purchases.

    Therefore, the real question is not how much you spend to acquire a customer.

    It is:

    How much value can you generate from that customer over time?


    D2C and retail: Are the costs really that different?

    This is where I believe many D2C entrepreneurs should take a closer look at their numbers.

    Retail has obvious costs:

    Rent + people + inventory + utilities + operations.

    D2C has a different-looking cost structure:

    Technology + digital marketing + customer acquisition + fulfilment + returns/refunds + inventory + customer service.

    The cost heads are different.

    But the underlying economics are surprisingly similar.

    Both businesses have to:

    • Hold inventory
    • Acquire customers
    • Fulfil orders
    • Manage returns
    • Build trust
    • Provide customer service
    • Maintain technology/processes
    • Generate repeat purchases

    So the assumption that “D2C is automatically cheaper than retail” needs to be challenged.

    It depends entirely on the category, ticket size, margins, repeat rate, geography, assortment and customer acquisition economics.


    So should D2C brands enter retail?

    In many cases, yes—but not blindly.

    Retail can provide something that digital advertising cannot always provide:

    Physical discovery and local trust.

    Suppose a brand establishes a profitable store in a particular catchment.

    It understands the local customer.

    It gets the assortment right.

    Its pricing works.

    Its people are trained.

    Its product mix generates healthy margins.

    And it builds repeat customers within a 3–4 km radius.

    Now the brand has something extremely valuable:

    A proven local business model.

    The next opportunity is to replicate that model in another geography.

    Then another.

    Then another.

    That is very different from simply opening stores because the brand wants a physical presence.


    The future may not be D2C versus retail

    I believe the more relevant question is:

    Why choose one when the customer is using both?

    A consumer may discover your brand on Instagram.

    Read reviews on Google.

    Compare prices on a marketplace.

    See the product in a store.

    Order it through quick commerce.

    Buy again from your website.

    And recommend it to a friend on social media.

    The customer does not think in channels.

    The customer thinks:

    “I want the right product, at the right price, with minimum effort and maximum confidence.”

    Brands need to think the same way.


    But there is a warning for D2C brands

    Do not rush into retail simply because everyone else is doing it.

    Before opening a store, ask:

    Do I have enough SKUs?

    Is my assortment strong enough?

    Can I create a meaningful store proposition?

    Are my margins sufficient?

    Can the store generate repeat business?

    Do I understand the catchment?

    Can I train people to sell the product properly?

    A store cannot become a physical warehouse for your online products.

    It needs a reason to exist.

    The assortment, store experience, pricing, visual merchandising and customer interaction must come together as one proposition.


    The next competitive advantage: Operational excellence

    For D2C brands, the next phase will not be won simply by having a better Instagram campaign.

    It will be won through better execution.

    Brands need systems that tell them:

    Where is the customer dropping off?

    Why is the customer not completing the purchase?

    Why are returns increasing?

    Which SKU is generating repeat purchases?

    Which geography is profitable?

    Which channel is acquiring the best customers?

    Which customers are worth retaining?

    Where is inventory getting stuck?

    And most importantly:

    What does it cost to serve each customer?

    Technology will play a major role here.

    But technology alone is not the answer.

    Data + process + people + execution have to work together.


    My advice to D2C brands

    Before spending the next ₹1 crore on customer acquisition, stop and calculate the economics.

    Compare:

    D2C economics vs Retail economics vs Marketplace economics vs Quick Commerce economics.

    Look at the complete picture—not just revenue.

    Measure:

    CAC Customer Lifetime Value Contribution Margin Repeat Purchase Rate Return Rate Inventory Turns Gross Margin Cost-to-Serve Store Productivity GMROF

    Then decide where your customer should find you.

    Because the future is unlikely to belong to brands that are only D2C.

    It will belong to brands that can move seamlessly across D2C + retail + marketplaces + quick commerce, while maintaining healthy unit economics.


    The final thought

    The D2C opportunity in India is still enormous.

    But the easy growth phase is getting harder.

    Consumers have more choices.

    Advertising is more expensive.

    Competition is intense.

    Loyalty has to be earned repeatedly.

    And profitability can disappear very quickly behind attractive revenue numbers.

    So don’t ask:

    “How fast can I acquire customers?”

    Ask:

    “How profitably can I acquire, serve and retain them?”

    And don’t ask:

    “Should I be D2C or retail?”

    Ask:

    “Where does my customer want to buy from me—and which combination of channels creates the strongest business?”

    D2C may have started the journey by removing the middleman.

    The next stage is about removing the friction between the customer, the brand and a profitable transaction.

    That is where the real scale will come from.

    #D2C #Retail #Ecommerce #ConsumerBehaviour #CustomerAcquisition #QuickCommerce #RetailStrategy #BusinessTransformation #OperationalExcellence #CustomerExperience #Profitability #IndianRetail