Quick Commerce Fees Market Data Report 2026 for India Basket-Cost Intelligence

Introduction

Quick commerce fees in India are the delivery, handling, small-cart, platform and surge or rain charges that Blinkit, Zepto, Swiggy Instamart, BB Now, Flipkart Minutes and JioMart add on top of shelf prices. Because these fees change by city, pincode, hour and cart value, FMCG brands need landed basket cost, not shelf price alone, to understand price perception.

A shopper does not compare MRP and selling price in isolation. They see a checkout total. A ₹45 pack that triggers a small-cart fee can feel more expensive than a ₹60 pack that clears the free-delivery threshold. That is why fee data now belongs in the same dataset as prices, pack sizes, discounts and availability.

This report explains how quick commerce fees in India moved from a free-delivery promise to layered charges and back towards selective waivers between 2024 and 2026. It sets out a field-level structure for capturing the landed basket, shows how brand teams can use it, and outlines the study design for an Actowiz Basket-Cost Index. Where we do not yet publish a measured value, the table shows a placeholder.

From Free Delivery to Layered Fees: How Did Quick Commerce Pricing Change?

Quick commerce in India grew fast enough that platforms started to monetise each order, not only each product. CareEdge estimated that the market reached around ₹64,000 crore in FY25 and projected gross order value of about ₹2 lakh crore by FY28, as reported by Storyboard18 on 10 July 2025 . The same report put fee-based revenue at an estimated ₹10,500 crore in FY25, up from ₹450 crore in FY22.

That growth came with new quick commerce fees at checkout. Zepto added a platform fee in March 2024. Swiggy Instamart applied a festive handling charge during Holi week in 2025. Small-cart fees became common on low-value orders. Then, from late 2025, competition pushed the other way: Zepto cut its free-delivery threshold and removed handling and surge charges, and Blinkit cut delivery charges in select micro-markets.

For brand teams, the lesson is simple. Quick commerce fees are not stable. It is a competitive lever that platforms switch on and off by city and season, so a one-time check goes out of date quickly.

Building a Structured View of the Landed Basket

The landed basket is what the shopper actually pays: item total after discounts, plus every fee, minus any fee waiver. To compare it across apps, each fee needs its own field. A single "delivery charges" column hides the difference between a fee that depends on cart value and one that depends on the weather.

We recommend capturing the checkout as a set of line items tied to a pincode, a timestamp and a fixed test basket. This keeps every number traceable. It also lets analysts rebuild the total when a platform renames a fee, which happens often.

Not every platform uses every fee, and names change. Our parsers map each label seen at checkout to one of these standard fields and keep the original label too, so nothing is lost in translation.

Turning Fee Signals Into Basket-Cost Intelligence

Data on quick commerce fees becomes useful when it answers a commercial question. For an FMCG brand, the main question is whether a shopper sees the brand as good value on a given app, at a given time, in a given city. Shelf price only answers part of that.

Fees also shape which pack sizes win. If a single 200 g pack sits below the small-cart line, shoppers may switch to a larger pack or add items to cross the threshold. Brands that track this can design pack-price ladders and combo packs that clear thresholds on the apps that matter most.

Promo planning is the third use. A ₹10 discount can be wiped out by a ₹20 small-cart fee or a rain fee. Measuring the net effect at checkout shows which promotions actually lowered the price the shopper paid. Our Quick Commerce Promotions & Discount Dataset covers the discount side.

Understanding Fee Movements by City, Time and Cart Size

Quick commerce fees in India are hyperlocal. The Outlook Business report on Blinkit described targeted cuts in specific micro-markets, not a national change. The Instamart festive charge varied by location. That means two shoppers in the same city can see different totals for the same basket.

Time matters too. Surge and rain fees appear when demand outruns rider capacity. Festivals change handling fees. Late-night ordering can carry its own charge where a platform applies one. A daily snapshot taken at noon will miss most of this.

Cart size is the third dimension. Thresholds create sharp steps in the landed total. A basket of ₹98 and a basket of ₹100 can carry very different fees. Testing several cart values around each threshold shows exactly where the steps fall.

Measuring Competitive Position on Landed Price

Competitive position on quick commerce has two parts: what the item costs and what the checkout costs. Quick commerce fees decide the second part. A brand can be cheapest on shelf and still lose on landed price if its typical basket on one app attracts more fees.

The table below lists the fee components that public reporting has linked to each platform, with placeholders for Actowiz measured values. Where a component was reported, the source and date are shown. Reported amounts are snapshots; fees vary by city, time and cart.

Brands that already track pincode-level shelf prices can add this layer without starting again. Our Quick Commerce Price Comparison Dashboard shows pincode-wise prices, and fee fields can be joined to the same records.

Study Design for an Actowiz Basket-Cost Index

The Actowiz Basket-Cost Index is designed to answer one question: what does a typical FMCG basket cost to land on each app, by city and hour? It uses fixed baskets so changes come from prices and fees, not from what is in the cart.

Each basket is matched across apps at the product and pack-size level. Substitutes are flagged, not silently swapped. Out-of-stock items are recorded as such, because unavailability also changes what a shopper ends up paying.

The index reports item total, total fees and landed total separately. This lets a brand see whether a change came from its own price, a rival's discount or a new fee.

Is Drip Pricing Regulated in India? Legal and Compliance Basics

How quick commerce fees are shown to shoppers is also a regulatory topic. The Central Consumer Protection Authority (CCPA) issued the Guidelines for Prevention and Regulation of Dark Patterns on 30 November 2023, listing 13 specified dark patterns, with drip pricing named among them .

On 7 June 2025 the government reported that CCPA had advised e-commerce platforms to self-audit for dark patterns within three months On 20 November 2025, PIB reported that 26 platforms, including Blinkit, Zepto, Swiggy, BigBasket and JioMart, had submitted self-declarations of compliance .

For data collection, Actowiz captures only publicly visible storefront and checkout information, respects site terms, does not bypass logins and does not collect personal data. This section is general information, not legal advice.

How Actowiz Solutions Helps

• Multi-platform data collection – Prices, pack sizes, availability, discounts and fee line items from Blinkit, Zepto, Swiggy Instamart, BB Now, Flipkart Minutes and JioMart, captured per pincode see our Quick Commerce Dataset.
• Standard fee schema – Every checkout label mapped to fields such as delivery_fee, small_cart_fee, handling_fee, platform_fee and surge_fee, with the original label kept.
• Time and threshold testing – Captures across peak, off-peak and late-night windows, with test baskets around free-delivery and small-cart thresholds.
• Product matching – Like-for-like matching of SKUs and pack sizes across apps, building on our Blinkit, Zepto and Instamart price intelligence work.
• Delivery that fits your stack – CSV, JSON, API or dashboards through Actowiz Metrics, at the cadence your pricing and promo teams need.
• Fee benchmarking support – See how a quick commerce fee benchmarking project was structured in our case study .

Conclusion

Quick commerce fees in India have moved from a quiet add-on to a visible competitive lever. Platforms added platform, handling and small-cart fees, then began cutting some of them by city and season. Shelf price alone no longer tells a brand how its products feel to a shopper at checkout.

Tracking the landed basket by platform, pincode, hour and cart size gives FMCG and D2C teams a clearer view of price perception, pack-size strategy and promo impact. It also gives comparison-app builders the totals their users actually care about.

Want to see landed basket data for your categories? Request a free sample or talk to our data team.

Frequently Asked Questions

What are quick commerce fees in India?

They are charges added on top of item prices at checkout, such as delivery fees, small-cart fees, handling fees, platform fees and surge or rain fees. Which fees apply depends on the app, city, pincode, time and cart value.

What is a quick commerce handling fee?

A handling fee is a per-order charge some apps add for packing and processing. It has varied by location and season; for example, Swiggy Instamart added a festive handling charge during Holi week in 2025, as reported by YourStory.

Why should FMCG brands track landed basket cost and not just shelf price?

Shoppers judge value by the checkout total. Fees can cancel a discount or make a smaller pack look expensive, so landed cost shows true price perception and helps with pack-size and promo planning.

How often do quick commerce fees change?

Often. Public reports show fee additions in 2024 and 2025 and selective cuts in late 2025 and 2026. Fees can also change by hour and weather, so daily or intra-day tracking is recommended.

Can Actowiz capture fees by pincode for a price-comparison app?

Yes. We can collect public prices, pack sizes, availability, discounts and fee line items per pincode and deliver them by API or files. Contact our data team for a sample.

Is collecting quick commerce fee data legal?

Actowiz collects only publicly visible business data, respects site terms, does not bypass logins and does not collect personal data. Check your own use case with legal counsel; this is not legal advice.