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How Does Meesho Make Money With Zero Seller Commission?

By Rahul Asati·5 min read·
How Does Meesho Make Money With Zero Seller Commission?
What's covered
  1. Why did zero commission attract sellers?
  2. How does a low-ticket order travel through the system?
  3. What did scale look like in FY26?
  4. Why is Meesho different from Amazon and Flipkart?
  5. Can artificial intelligence improve the economics?
  6. What really matters for Meesho?

Meesho did not build its marketplace around the same customer as premium online retail. It focused on shoppers for whom price matters more than brand, many of them outside India's largest cities. That choice shapes everything from seller onboarding and product discovery to delivery cost and returns.

The model only works if Meesho can serve a low-value order at an even lower operating cost. A ₹300 fashion or home-product order leaves little room for expensive fulfilment, discounts and customer acquisition.

Why did zero commission attract sellers?

Traditional marketplaces charge sellers a percentage of the product value. Meesho used zero seller commission as a growth tool, allowing small manufacturers and merchants to offer lower prices or retain more margin. It reduced a major barrier for sellers that lacked established brands or sophisticated online operations.

Zero commission does not mean Meesho works for free. The company earns mainly from services around the transaction, including logistics and fulfilment, advertising and other seller or platform services. A seller pays because Meesho can bring demand and arrange delivery more effectively than the seller could independently.

This structure also improves price transparency. When the platform fee is not embedded as a large percentage commission, sellers can compete more directly on product price. The trade-off is that Meesho must build adequate service revenue without destroying the affordability that draws users.

How does a low-ticket order travel through the system?

A shopper often discovers products through a personalised feed rather than searching for a known brand. The seller prepares the order, while Meesho coordinates payments, logistics partners, tracking, customer service and returns. The company uses multiple delivery partners rather than owning the entire physical network.

Asset-light logistics reduces the need to build every warehouse and delivery fleet, but it does not remove shipping cost. Low order values make failed deliveries and returns particularly painful because the forward and reverse movement can consume the contribution from several successful orders.

Meesho therefore needs accurate addresses, good seller quality, high delivery success and increasingly personalised recommendations. Its FY26 annual report said more than 75% of orders originated from personalised feeds. Better recommendations matter economically because they can raise conversion without buying another advertisement for every order.

What did scale look like in FY26?

Meesho reported 264 million annual transacting users, up 33%, and 2.67 billion placed orders, up 45%, in FY26. Marketplace Net Merchandise Value reached ₹41,560 crore and revenue from operations increased 34% to ₹12,626 crore. Active sellers rose to 961,000.

The numbers show that the platform is expanding both sides of the marketplace. More sellers improve selection, while more users create demand for sellers. Yet free cash flow weakened as customer acquisition and logistics costs rose. This is the critical tension: scale is useful only when each additional cohort becomes less expensive to serve.

Purchase frequency improved from 9.2 to 10.1 orders per annual transacting user. Frequency is important because a repeat buyer can generate more revenue without requiring the full acquisition cost again. It also gives Meesho more behaviour data to improve recommendations.

Why is Meesho different from Amazon and Flipkart?

Amazon and Flipkart carry strong positions in branded electronics, appliances and broad e-commerce. Meesho's advantage is deeper in unbranded and value-led categories, where supply is fragmented and customers are comfortable trading brand assurance for price.

That advantage comes with weaker natural trust. Product quality can vary across small sellers, images may not perfectly represent goods and returns can be high in fashion. Meesho must enforce seller standards without making onboarding so demanding that it loses the long tail of supply.

The company also competes with offline markets. For many customers, the alternative is not another app but a nearby value retailer where the product can be inspected. Delivery reliability and simple refunds are therefore part of the value proposition, not merely operational functions.

Can artificial intelligence improve the economics?

Meesho is using AI in recommendations, conversational shopping, geocoding and seller tools. Its Vaani shopping assistant showed a reported 22% conversion lift among adopters in its first month, while improved geocoding can reduce failed deliveries.

These are useful applications because they attack real cost or revenue drivers. A better feed raises the chance that browsing becomes an order. Better address accuracy lowers logistics waste. Seller intelligence can improve assortment and inventory decisions. The economic benefit should eventually appear in higher conversion, fewer returns and lower fulfilment cost per delivered order.

What really matters for Meesho?

Meesho has proved that value e-commerce in India is much larger than the branded online market. Its growth is not simply a smaller-city version of Flipkart. It is a marketplace engineered around fragmented sellers, low prices and discovery-led buying.

The next test is contribution quality. Order growth of 45% is impressive, but a low-ticket marketplace can expand rapidly while cash generation deteriorates if logistics, returns and acquisition costs remain high. Meesho's strongest moat will not be zero commission by itself, because pricing can be copied. It will be the ability to deliver a cheap, irregular product reliably at a cost that competitors cannot match. Frequency, delivery success, return rates and cash flow per order are therefore more revealing than user count alone.

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