Quick Commerce - Can it revolutionize the retail industry?

Quick Commerce: The Future of Retail?

Introduction to Quick Commerce

• The format of quick commerce has been endorsed by Neville Naronia, who described it as a "much smarter format" suitable for the Indian market compared to developed markets.

Presentation Overview

• The presentation will cover key dates (12th November 2024 and 11th December 2024) and focus on quick commerce, particularly Zepto, Instamart, and Blinkit.

Market Insights

• Adit Picha, founder of Zepto, claims that within one to two years, Zepto could surpass D-Mart in size. This ambition is notable given D-Mart's long history and substantial valuation.

• Zepto was founded in 2020; its rapid growth trajectory aims for a $50 billion valuation within five years—an unprecedented target in the industry.

Business Model Discussion

• The core premise of quick commerce is saving time and energy for consumers. A survey shows that many are willing to pay extra (e.g., ₹50) for convenience.

• The presentation will explore the operational aspects of dark stores and their unit economics as critical components of the business model.

Evolution of Retail Formats

• Different retail formats have evolved in India from traditional stores to modern trade including e-commerce and quick commerce. Each format serves distinct use cases.

• There is an argument that all retail formats can coexist; however, the proportions in which they do so remain uncertain.

Challenges Faced by Previous Models

• Historical attempts at leveraging local kirana stores (like Growers before its acquisition by Blinkit) faced challenges due to inventory management issues across multiple locations.

Quick Commerce Operations Explained

• In quick commerce, orders are placed through platforms like Blinkit or Zepto. Orders are assigned to nearby dark stores within a 1–2 km radius for speedy delivery (typically under 15 minutes).

• Dark stores operate with delivery riders waiting outside to ensure rapid order fulfillment. Orders must be packed quickly after placement to meet delivery timelines.

Understanding Quick Commerce in Developing Countries

Inventory Dynamics and Labor Costs

• Quick commerce relies on daily replenishment of grocery items, while non-grocery items have a longer restocking period of 2 to 3 days, affecting inventory turnover rates.

• The model is labor-intensive, particularly at dark store levels and during final delivery. Access to low-cost labor is crucial for maintaining unit economics.

Supermarket Penetration and Consumer Behavior

• High supermarket penetration in developed countries has shaped consumer behavior; customers often plan purchases around visits to large stores like Costco or Walmart.

• In the U.S., there is approximately one supermarket for every 5,000 people, compared to India where one large store serves about 40,000 to 50,000 people.

Challenges in Establishing Large Stores

• Acquiring land for new supermarkets in prime locations poses significant challenges due to high costs and limited availability.

• Retailers like Dmart avoid expensive areas such as South Bombay because establishing stores there is not economically feasible.

Revenue Model Breakdown

• Users pay various fees including product value (net of discounts), delivery fees, tips for riders, and convenience/platform fees which contribute to the total order value.

• Delivery riders receive their earnings from delivery fees and tips based on performance metrics such as speed and order volume.

Merchant Partnerships and Commissions

• Merchants receive item totals after deducting Swiggy's commission (typically between 10% - 15%), which affects pricing strategies.

• Platforms also generate revenue through advertising—an important income source distinct from traditional retail models.

Unit Economics of Quick Commerce

• Understanding quick commerce profitability involves analyzing cost structures associated with fulfilling orders rather than focusing solely on individual numbers.

• Promoters project achieving a 4% - 5% adjusted EBITDA margin by identifying potential cost-saving measures within operations.

User Engagement Metrics

• Monthly transacting users are defined as those who place at least one order per month; average order frequency stands at approximately three-and-a-half times monthly.

• Average order values vary across platforms: ₹487 for Zomato versus ₹625 for Blinkit. This reflects different commission structures impacting gross margins.

Advertising Revenue Insights

• Instamart generates about 10% of its revenue from commissions related to warehousing income; Blinkit's figures are slightly higher at around 12%-13%.

Understanding Delivery Fees and Earnings in Quick Commerce

Overview of Delivery Fees

• Blinkit has introduced delivery fees, charging a minimum of 12.5 rupees for orders over 200 rupees, which was previously free.

• Swiggy and Zomato earn approximately 70 to 120 rupees per order, influenced by the type of products sold (e.g., groceries vs. electronics).

Earnings of Delivery Riders

• On average, delivery riders earn about 46 rupees per order on Swiggy; estimates for Zomato are slightly lower due to better execution.

• The efficiency of dark store operations allows riders to complete around two orders per hour, leading to monthly earnings close to 17,000 rupees in metro cities.

Cost Structure and Margins

• Dark store costs account for nearly 8% of total expenses, with manpower costs contributing significantly (around 10%).

• Companies like Dender Go aim for adjusted EBITDA margins around 45%, with advertising revenues expected to grow as platform demand increases.

Growth Indicators in Quick Commerce

• Gross order values have seen substantial growth; Swiggy's figures doubled from about 5,000 crores to nearly 6.5 thousand crores.

• The average order value is increasing as more product categories become available on platforms like Blinkit and Instamart.

Market Dynamics and Competition

• Zomato focuses more on non-grocery SKUs compared to Swiggy and Zepto's emphasis on grocery items.

Market Dynamics of Dark Store Operations

Competitive Landscape: Zepto vs. Instamart

• The competitive gap between Zepto and Instamart has widened, with Zepto poised to become the second-largest player in the market.

• Despite having higher monthly transacting users in FY23, Instamart struggles to scale operations as quickly as Zepto.

• Both platforms maintain a consistent order frequency of 3 to 4 times per month, indicating stable user engagement.

Expansion Strategies

• Blinkit aims for aggressive expansion, targeting nearly 1,000 dark stores by the end of FY24, doubling its current count.

• Zepto plans to increase its dark store count from 350 to 700 within the same timeframe, highlighting a competitive race for market share.

• Instamart's conservative growth strategy projects only an incremental increase of 10 stores by year-end, raising questions about their scaling approach.

Operational Metrics and Economics

• Key performance indicators include daily order fulfillment rates; Blinkit averages around 1,370 orders per day compared to Instamart's 1,050.

• The profitability of dark stores is closely tied to volume; some stores reportedly fulfill up to 2,500 or even 3,000 orders daily.

Financial Performance Insights

• Blinkit achieves a contribution margin of approximately 4%, while Instamart remains in negative territory at -11%.

• Adjusted EBITDA metrics reveal that Blinkit is nearing break-even status due to improved operational efficiencies.

Dark Store Business Model Overview

• Dark store operators are typically franchisees; companies like Blinkit manage inventory and order allocation but have limited direct involvement.

• Each dark store requires about 25 staff members across three shifts with average salaries impacting overall operational costs significantly.

Cost Structure Analysis

Understanding Dark Store Operations

Overview of Dark Store Costs and Profitability

• A dark store requires a ground floor location with ample parking for delivery riders, leading to total operating costs around 8 lakh, excluding operator profits.

• The profitability hinges on the number of orders fulfilled daily; fixed monthly payments mean that revenue generation is crucial for breaking even.

• To break even at approximately 1,400 orders per month, operators need to earn about 19 rupees per order. Higher order volumes significantly increase profitability.

• Achieving up to 3,000 orders daily can make dark stores highly profitable; however, this depends on operational efficiency and market demand.

• Operators face challenges such as capped upside potential due to geographical limitations imposed by platforms managing order allocations.

Challenges Faced by Dark Store Operators

• Operators are limited to a specific radius (around 2 square kilometers), restricting their ability to expand or capture more orders effectively.

• Increased competition from new dark stores in proximity can dilute demand and affect existing operators' revenues.

• Dependence on platform performance means that any downturn affecting the platform directly impacts the operator's financial health.

• Competitive intensity in the market leads to pressure on margins; even less successful entrants can disrupt local operations significantly.

• Efficiency in packing and dispatching orders is critical; mistakes can lead to losses and impact overall profitability.

Financial Metrics and Market Potential

• Break-even volumes vary based on commission percentages received from platforms; small differences in rates can greatly influence required order fulfillment levels.

• Execution-related issues like theft or packaging errors are risks borne by operators, impacting their profit margins despite seemingly favorable commission rates.

Market Size and Growth Opportunities

• There is significant optimism regarding the total addressable market (TAM); understanding TAM remains complex but essential for strategic planning.

• The Indian retail market is valued between 76 to 78 lakh crores across various sectors, with a substantial portion still unorganized—indicating growth opportunities for organized players entering this space.

• In top cities, organized retail accounts for about 40% of sales within an estimated TAM of roughly 18 to 19 lakh crores. This shift from unorganized to organized retail presents a lucrative opportunity for dark store operators.

Understanding the Growth of Quick Commerce in India

Market Dynamics and Consumer Behavior

• The current market share for quick commerce is only about 5%, but if it outperforms competitors like Amazon, its share could increase significantly. Macro trends favoring retail growth are also noted.

• Female labor force participation in India has risen to 37%, alongside an increase in nuclear households. This demographic shift leads to a preference for convenience, as families seek to spend more time at home.

• Quick commerce platforms cater to busy consumers who prefer online shopping for forgotten items or time-saving solutions, presenting advantages over traditional kirana stores.

Advantages of Dark Stores

• Speed and convenience are key benefits of dark stores. For instance, using Google Maps can show that a trip may take longer than expected due to traffic and parking challenges.

• Consumers can save time and money by opting for delivery from dark stores instead of traveling to kirana stores, which have limited operating hours (typically 10 AM - 8 PM).

• Dark stores operate around the clock with fewer staff during night shifts, allowing them to meet late-night consumer demands effectively.

Cost Efficiency and Product Availability

• Dark store platforms often provide better pricing than kirana stores by sourcing directly from FMCG companies, eliminating middlemen costs.

• Unlike traditional retail spaces that can only stock around 1,500 - 2,000 SKUs due to space constraints, dark stores can offer access to over 6,000 SKUs per location.

Expansion Potential in Urban Areas

• Optimized space utilization in dark stores allows for vertical storage solutions without needing large areas for customer browsing or billing counters.

• There is significant potential for expansion within India's top cities (24 crores population), where high density supports the viability of more dark store locations.

Industry Trends and Challenges

• The top 60 cities represent about 26% of India's total retail market. Companies like Blinkit and Instamart are expanding their presence but still face challenges regarding network density within these urban areas.

• Major FMCG brands report rapid growth in quick commerce sales; Nestlé notes that this segment constitutes half of its e-commerce business today.

Operational Challenges in Hyper-Growth Environments

Balancing Operations and Innovation

• Successful operators must excel in both operational execution and innovation, especially during hyper-growth phases.

• To retain users after initial engagement, platforms must deliver quality products quickly (within 15 minutes).

Dark Store Dynamics

• Analysis of Instamart's performance reveals a concerning trend: high closure rates of dark stores despite new openings.

• A significant percentage (up to 30%) of dark stores close within one to two years, impacting overall operations.

Location and Fulfillment Efficiency

• Strategic location scouting is crucial; poor locations can lead to higher fulfillment times and costs.

• Operational inefficiencies, such as delays caused by store layout, can negatively affect delivery times.

SKU Management and Consumer Behavior

• Managing stock keeping units (SKUs) is challenging due to consumer tendencies to switch platforms for better availability or discounts.

• The product mix influences advertising income; grocery items may not attract advertisers due to branding limitations.

Competitive Landscape and Market Positioning

• New entrants like Flipkart and BigBasket intensify competition; established players control about 90% of the market share.

• Competition extends beyond discounts; companies need unique value propositions to attract customers effectively.

Regional Strengths and Growth Strategies

• Companies like Blinkit have strong regional presences but face challenges when expanding into new markets with existing competitors.

Market Dynamics and Challenges in Quick Commerce

Competitive Landscape for Dark Store Operators

• New entrants may attract dark store operators by offering slightly higher revenue shares, but sustainability of daily orders remains a critical concern.

• Regulatory challenges could impact how goods are stored and delivered, potentially increasing operational costs for new players in the market.

Investor Behavior and Market Valuation

• The presentation emphasizes investor skepticism regarding the valuation of companies like Swiggy compared to Zomato, questioning whether current market prices reflect true value.

• Short-term investor behavior can inflate stock prices, leading to potential long-term losses as market realities set in.

Market Entry Challenges

• Direct-to-consumer (D2C) brands entering quick commerce pose additional competition; exclusivity in product offerings may limit partnerships with platforms.

• Advertising revenue growth is uncertain; profitability hinges on order fulfillment rates rather than just advertising percentages.

Operational Execution and Profitability Risks

• Effective execution is vital for maintaining interest from dark store operators; unsustainable operations can deter future partnerships.

Financial Structure of Dark Stores

• Operating expenses are primarily borne by dark store operators, while platforms handle lease payments and charge accordingly based on revenue sharing agreements.

• Dark stores typically do not hold inventory themselves due to regulations; financial investors manage inventory funding instead.

Strategic Considerations for Large Players

• Larger companies like Zomato might prefer outsourcing operations to dark store operators despite having strong balance sheets, focusing on efficiency rather than direct management.

Dark Store Operations and Their Impact on Customer Experience

Selection Criteria for Dark Store Operators

• The management of mother warehouses is crucial, as operators like Blinkit ensure some operations are handled in-house to maintain quality.

• Zomato provides the technology base for dark store operators, allowing tracking of customer dissatisfaction by location to identify problem areas.

Break-Even Analysis

• Dark store operators need to fulfill approximately 1,600 to 1,700 orders daily to break even, generating around 17 to 18 rupees per order.

Competitive Landscape and Industry Growth

• Increasing competitive intensity may affect adjusted margins; however, competition varies significantly by region.

• Advertising revenue plays a vital role in maintaining profitability as platforms scale up their operations.

Sustainability of Growth Rates

• Maintaining demand at a regional level poses more challenges than achieving adjusted margins; industry growth rates could sustain at 40-50% CAGR if market conditions remain favorable.

• The long-term sustainability of high growth rates is uncertain due to the maturity of products being sold.

Risks Associated with Dark Store Performance

• The success of companies like Zepto heavily relies on the performance of dark store franchises; poor performance can jeopardize overall business success.

• There is significant risk shifting involved; while technology may be advanced, reliance on franchisees' ability to generate sufficient orders remains critical.

Market Penetration Insights

• Supermarket penetration in India appears low when considering the entire population rather than just metropolitan areas.

• Despite high numbers of kirana stores, many consumers do not visit supermarkets due to proximity issues.

Business Model Comparison

Understanding the Role of Dark Stores in Quick Commerce

Importance of Bulk Purchases

• The speaker emphasizes the significance of planning for bulk purchases to secure discounts, indicating a strategic approach to shopping that can lead to substantial savings.

Dark Stores and Their Impact on Zepto's Success

• The discussion begins with the assumption that dark stores are crucial for Zepto's success, highlighting their role in fulfilling orders effectively.

• It is noted that the sustainability of dark store operations relies heavily on order fulfillment and market demand, creating a "chicken and egg" scenario where sufficient orders are necessary for profitability.

Competition Among Dark Store Operators

• The speaker expresses skepticism about platforms' awareness regarding the importance of dark store operators, suggesting they won't expand too many stores in small areas due to potential inefficiencies.

• A comparison is made with global ride-hailing and food delivery markets, which have largely become duopolies. This indicates that maintaining a balance among competitors is essential for long-term success.

Challenges Faced by Dark Store Operators

• The conversation shifts to competitive intensity within small regions where multiple dark stores from different players may hinder order volume.

• Potential support mechanisms from platforms are discussed, such as reducing deposit amounts required from operators to enhance profitability even with lower volumes.

Delivery Partners and Gig Economy Dynamics

• A question arises regarding whether delivery partners count towards dark store metrics; it’s clarified that these partners operate separately within their own fleets dedicated to quick commerce.

• The gig economy aspect is highlighted, noting that riders can choose flexible working hours but must be enrolled on specific platforms to accept orders.

Profitability Concerns in Quick Commerce

• Despite grocery items being generally recession-resistant, quick commerce delivery faces challenges in achieving overall profitability at both platform and dark store levels.

• Higher margins on grocery SKUs are mentioned due to wastage considerations; however, average order values (AOVs) tend to be lower than other sectors.

Kirana Stores vs. Quick Commerce Models

• The impact of quick commerce growth on traditional kirana stores raises concerns; strategies for mitigating negative effects remain under discussion.

• Challenges related to rider efficiency in locating goods across various kirana stores complicate quick commerce logistics compared to traditional models.

Inventory Management Insights

Understanding Inventory Management in Financial Investments

The Role of Inventory in Platform Companies

• Inventory is not recorded on the balance sheets of platform companies due to regulatory restrictions, leading to low reported inventory levels.

• Financial investors play a crucial role by providing capital for inventory procurement, allowing brands to manage their stock without owning it directly.

Financial Investors and Their Returns

• Financial investors negotiate terms with FMCG brands and fund the entire inventory purchase, which can be managed internally or outsourced.

• Despite seemingly small margins (e.g., half a percent), high inventory turnover rates (15-20 times per year) enable significant returns on investment for financial investors.

Risks Associated with Inventory Management

• Investors bear minimal risk regarding product quality; their primary concern is maintaining high inventory turnover rates amidst fluctuating demand.

• Stable margins are less critical than consistent inventory turns, which ultimately determine the internal rate of return (IRR).

Reflections on Business Challenges

• Personal anecdotes highlight that running a business involves facing ups and downs, emphasizing resilience during tough times.