Quick Commerce: New pathway to drive India’s consumption story
Anoop Menon and Sarthak Biswas
One of the most significant shifts in consumer behaviour has been the rise of Quick Commerce (QC), reshaping how we access everyday essentials. In a world where brands have become deeply embedded in our lives, QC has accelerated this shift, making instant availability not just a convenience but an expectation.
At Chiratae, we have tracked Indian consumption very closely with early bets in Myntra, Firstcry, Lenskart and other platforms and brands. At a time when horizontal commerce platforms drew significant consumer interest and investor capital, Chiratae built its own conviction of developing a vertical commerce thesis which meant deeper value proposition, higher margins and a full stack model that has helped anchor the foundations of these large Consumer brands. We believe that Quick commerce could potentially take the same route.
The rapid growth of QC signals a fundamental change in how people buy everyday essentials, moving from scheduled e-commerce deliveries to instant gratification. The ability to sell almost anything through QC—groceries, electronics, personal care, and more—has made it an essential strategy for brands looking to stay competitive. In today’s landscape, every brand must integrate QC into its go-to-market approach to remain relevant. The combination of high-frequency purchases, customer stickiness, and logistical innovations makes it a space where we can see billion-dollar outcomes. In the following write-up, we outline key insights and our unique advantage in this space, demonstrating why Chiratae is best positioned to back the next wave of QC disruptors.
For Quick Commerce (QC) to work effectively at a catchment level, the density of consumers and Brand-SKUs must be high. A sufficiently large assortment ensures repeat orders, which are critical to sustaining QC operations. Without adequate SKU density, customer retention declines, and unit economics becomes unfavourable.
A minimum Average Order Value (AOV) of INR 500+ is required to ensure minimum viable unit economics. Given the relatively high Customer Acquisition Cost (CAC) in QC, repeat purchases are necessary to cover the one-time CAC investment. A deeper SKU assortment helps reduce CAC, as customers are more likely to return when they find a broad selection within a category.
Competitive Differentiation in QC
A new-age vertical QC player or an enabler will need to differentiate across four key pillars:
- Speed – Densifying dark stores reduces operational costs, shortens delivery distances, and enables faster inventory turnover. More granular pincode-level fulfilment will be a core differentiator. Current averages range from 12-14 mins to 17-18 mins.
- Pricing – QC pricing is highly scale-dependent. Brands offer varying discounts to BlinkIt vs. Zepto based on their relationship, sales volume, and push priorities. Smaller players may struggle to negotiate similar pricing.
- Quality – There is often a trade-off between quality and fulfilment speed. Many QC players dilute product quality in order to optimise logistics, but ensuring high-quality products at rapid turnaround will be a key differentiator.
- Assortment – Depth within SKUs at the same price point is essential. Having multiple choices within a specific price band increases conversion rates and repeat customers.
Quick Commerce which began as a top-up / instant consumption use-case has become a stock-up use-case with brands building larger packs for distribution through QC. It aids QC platforms as well to inch their AOVs higher
Vertical Quick Commerce (Category-Level Observations)
QC is rapidly evolving into a baseline expectation across a variety of product and service categories, even in cases where delivery speed is not inherently critical.
- Adoption across industries:
- As customer expectations evolve, certain categories are integrating instant fulfilment as a core offering (like medicines), while others use it as an additional convenience layer (like fashion) to lock-in customer choices
- The extent to which QC enhances the consumer experience varies—some segments may see significant competitive advantages, while for others, it serves as a value-added feature rather than a necessity.
- Time-sensitive purchases & consumer behaviour shifts:
- In some cases, delivery speed or fast returns drive customer decision-making, influencing brand preference and purchase frequency.
- Businesses that involve perishability, time-sensitive consumption, or immediate need fulfilment have more to gain from QC integration.
- On-Demand Services as an Extension of QC:
- QC is not limited to goods. There is a significant value proposition in on-demand services.
- Example: Snabbit, which is building on-demand house help services. This aligns well with the QC model, as customers expect immediate fulfilment.
Key QC Investment Criteria
We are actively looking for categories where:
- High SKU range or service variability exists – Businesses that offer a broad range of products or services will see greater repeat demand.
- High gross margins are achievable – QC is margin-sensitive, and the category needs to sustain profitability beyond logistical costs.
- Repeat transactions are frequent – The QC model only works when customers return frequently, reducing the long-term CAC burden.
QC Enablers: Market Outlook & Challenges
- The jury is still out on whether enablers will sustain long-term differentiation or become commoditised.
- Some new-age 3PLs (e.g., Delivery) already offer deliveries within a couple of hours. The 15-minute delivery window remains an unsolved challenge but is still a whitespace.
- Margins will drop with scale – As QC enablers expand their pincode penetration, price competition will intensify, lowering per-order margins.
- Brands cannot internally solve for QC logistics – Emerging brands lack the necessary SKU volumes and logistics expertise to manage a full-stack QC operation internally. They will need third-party enablers.
- Swiggy and BlinkIt are extracting large margin shares – This is a major pain point for emerging brands, making alternative QC enablement solutions attractive.
- Dark Store Unit Economics – For QC enabler models, one of the critical success factors is dark store economics. We believe that companies with AOVs between of INR 500 – 700 can typically break even on a single dark store at 300-400 orders per day. This becomes an important threshold for achieving profitability at scale.
- A dark store typically ranges anywhere from 1000-2000 square feet. Some operating models like were planning to open smaller dark stores with sub-1000 square feet. A store of 2000 sq ft can –
- Holds 70,000 – 90,000 units of inventory across a combination of lifestyle categories.
- Processes 1000-2000 orders per day at around 20-25 days of inventory.
- Enough to meet demands of 50-70 D2C brands or 2-3 platforms
- A dark store with a 2000-3000 sqft size can breakeven between months 20- 24 at 14,000-18,000 daily orders, AOV being INR 500 – 700
To summarize, what we are looking for –
- Vertical quick commerce players
- In spaces where there is an inherent urgency (think customer need, product quality et al), or deliverable delight with <30 minute deliveries – medicines being one such category
- AOVs in excess of 500 with good margin structures. Enough SKU range to ensure good depth of order baskets
- In spaces where there is an inherent urgency (think customer need, product quality et al), or deliverable delight with <30 minute deliveries – medicines being one such category
- Enablers
- Players with innovations on dark store models which solve for effective dark store economics (you can play with dark store sizes, the categories of partner store brands) to ensure high repeatability in catchment areas with scalable unit economics. However, we feel this space will be commoditised at scale
- Startups innovating on the Technology stack to manage Quick Commerce. AI-led players who can look at dynamically managing catalogue, pricing, deals/offers and marketing within Quick comm environments are of interest
- Players with innovations on dark store models which solve for effective dark store economics (you can play with dark store sizes, the categories of partner store brands) to ensure high repeatability in catchment areas with scalable unit economics. However, we feel this space will be commoditised at scale