Quick commerce price and assortment India report 2026: Blinkit, Zepto and Swiggy Instamart scale, prices, stock-outs and fees.
Quick commerce price and assortment India data shows a market that has scaled fast and is now competing on price, range and store density. Bain and Flipkart put quick commerce GMV at USD 10–11 billion in 2025. Blinkit ran 2,443 dark stores by June 2026, and Zepto and Swiggy Instamart each passed 1,100.
For brands, that growth creates a new problem. The same product can carry a different price, discount, pack size or stock status on each app, and even in each pincode. Company results explain the scale of the market, but they do not show what a shopper actually sees on the shelf.
This report combines cited public figures with the signals Actowiz tracks for quick commerce price and assortment India projects: basket prices, discounts, out-of-stock rates, assortment overlap, pincode variance and fees. Fees and discount ranges are taken from cited sources; other table values are marked "Est." – indicative ranges based on published platform information, not measured results – and will be replaced by measured values from Actowiz's collection.
India's quick commerce market has moved from a niche convenience service to a mainstream grocery channel in roughly three years. The scale is now large enough that small price and availability gaps add up to real revenue for brands.
A Bain and Flipkart report says quick commerce has doubled annually over the past two years, reaching USD 10–11 billion GMV in 2025, and projects USD 65–70 billion by 2030 (IANS on Bain & Flipkart "How India Shops Online 2026"). That projection is an estimate, but it explains why every large retailer now runs a 10-to-30-minute service.
The listed and soon-to-list players also show how big the order volumes have become. According to operating data reported by Outlook Business, Blinkit handled 916.6 million orders in FY26, Zepto 640.2 million and Swiggy Instamart 412.2 million.
| Year / period | Sourced metric | Relevance for price and assortment data |
|---|---|---|
| 2025 | India quick commerce GMV USD 10–11 billion (Bain & Flipkart) | Shows the channel is now large enough to need shelf-level monitoring |
| FY26 (Apr 2025–Mar 2026) | Orders: Blinkit 916.6m, Zepto 640.2m, Instamart 412.2m (Outlook Business) | Order volume indicates where price changes reach the most shoppers |
| Q1 FY27 (Apr–Jun 2026) | Blinkit NOV Rs 17,132 crore, 2,443 dark stores (Inc42) | More stores means more pincode-level price and stock variation |
| 2030 (projection) | Quick commerce GMV USD 65–70 billion (Bain & Flipkart estimate) | Long-term case for continuous data rather than one-off audits |
In-body image: quick-commerce-dark-stores-fy26-chart.webp – bar chart of dark stores at end of FY26 (Blinkit 2,243; Zepto 1,139; Instamart 1,143) from Outlook Business. Alt: "Dark stores at end of FY26 for Blinkit, Zepto and Swiggy Instamart"
Blinkit, Zepto and Swiggy Instamart are the three largest quick commerce apps in India, with Flipkart Minutes, Amazon Now and BB Now expanding quickly behind them. Each has a different scale, store footprint and business model, which shapes how prices and range differ.
Blinkit, owned by Eternal, is the clear leader. It reported net order value of Rs 17,132 crore and adjusted EBITDA of Rs 102 crore in Q1 FY27, and added 200 net new dark stores to reach 2,443 (Inc42). Swiggy's quick commerce revenue rose 52.9% year on year to Rs 1,232 crore in the same quarter, while segment loss narrowed to Rs 651 crore (Angel One).
Zepto filed an updated draft prospectus on 10 June 2026 for a Rs 8,010 crore fresh issue, disclosing 1,139 dark stores as of 31 March and 210 million orders in the January–March quarter (5paisa). Flipkart Minutes reached 1,000 micro-fulfilment centres across 130 cities by June 2026 and targets 1,500 (Outlook Business). Amazon Now was reported to be adding about two dark stores a day in March 2026 (Storyboard18). Tata-owned BB Now had more than 800 dark stores in February 2026 and expected to cross 920 by March (Business Today).
| Platform | Owner | Dark stores (latest sourced) | Latest scale signal |
|---|---|---|---|
| Blinkit | Eternal | 2,443 (June 2026) | Q1 FY27 NOV Rs 17,132 crore |
| Zepto | Zepto (IPO filed) | 1,139 (March 2026) | 210 million orders in Jan–Mar 2026 |
| Swiggy Instamart | Swiggy | 1,143 (end FY26) | Q1 FY27 revenue Rs 1,232 crore, +52.9% |
| Flipkart Minutes | Flipkart | 1,000 (June 2026) | 130 cities; target 1,500 centres |
| Amazon Now | Amazon India | About 500 expected (March 2026 report) | Adding about two stores a day |
| BB Now | Tata / BigBasket | 800+ (February 2026) | Expected to cross 920 by March 2026 (Business Today) |
A useful price view compares the same product, in the same pack size, in the same pincode, at the same time. Without that matching, apparent price gaps are often just pack-size or location differences.
Actowiz builds a fixed basket of high-frequency items – staples, dairy, snacks, beverages, personal care and household – and matches each item across apps using brand, product name, pack size and unit. For each match it records MRP, selling price, discount, unit price and stock status, then rolls these into a basket price index per platform.
The table below shows indicative values for this basket. They are estimates based on published platform information and Actowiz's earlier public analyses, not measured results, and will be replaced with dataset values for a stated collection window.
| Category | Data signal | Finding 1 – basket price index (Blinkit = 100) (indicative) |
|---|---|---|
| Staples (atta, rice, dal, oil) | Selling price per kg or litre | Est. Blinkit 100 · Zepto 99 · Instamart 101 |
| Dairy and bread | Selling price and daily change | Est. Blinkit 100 · Zepto 99 · Instamart 102 |
| Snacks and beverages | Discount depth vs MRP | Est. Blinkit 100 · Zepto 97 · Instamart 101 |
| Personal care | Pack-size price ladder | Est. Blinkit 100 · Zepto 99 · Instamart 100 |
| Household cleaning | Multi-pack and combo pricing | Est. Blinkit 100 · Zepto 100 · Instamart 102 |
| Total basket | Weighted basket index | Est. Blinkit 100 · Zepto 98.5 · Instamart 101.5 |
In-body image: quick-commerce-basket-price-index-chart.webp – grouped bars of basket price index by platform and category, from Actowiz data. Alt: "Basket price index by platform from Actowiz quick commerce data"
Planned collection scope for the measured version of this report: 8 cities (Mumbai, Delhi NCR, Bengaluru, Hyderabad, Pune, Chennai, Ahmedabad, Kolkata), about 50 pincodes, about 500 matched SKUs, 30-day window with morning and evening runs.
Stock availability is the signal brands ask about most, because an out-of-stock item on a 10-minute app usually means a lost sale, not a delayed one. Shoppers switch to another brand that is in stock in the same dark store.
Availability changes by hour, by store and by category. Fresh and dairy products sell out faster in the evening, while new launches and long-tail SKUs may only be listed in a few stores. That is why one daily snapshot can understate stock-outs.
Actowiz measures availability as the share of tracked SKUs shown as "out of stock" or not listed at a pincode at each collection run. Repeated runs show both the rate and how long a gap lasts.
| Category | Availability signal | Finding 2 – out-of-stock rate by platform (indicative) |
|---|---|---|
| Fresh fruit and vegetables | Listed vs in stock, morning vs evening | Est. Blinkit 8–12% · Zepto 9–14% · Instamart 10–15%; evening about 1.5–2× morning |
| Dairy and eggs | In stock at peak hours | Est. Blinkit 4–7% · Zepto 5–8% · Instamart 5–9% at peak hours |
| Packaged foods | In stock across pincodes in a city | Est. 3–7% on all three apps |
| Beverages | Stock-out duration (hours) | Est. typical gap 4–12 hours; longer in summer peaks |
| Personal care | Share of SKUs listed per store | Est. 80–90% of tracked SKUs listed per store on all three apps |
In-body image: quick-commerce-out-of-stock-by-category.webp – heatmap of out-of-stock rate by category and platform. Alt: "Out-of-stock rate by category on Indian quick commerce apps"
Assortment tells you how much shelf space each brand really has. On a dark-store app, a product that is not listed in a store simply does not exist for that shopper.
Assortment depth covers how many SKUs each platform lists per category, how many brands appear and how much private label is present. Overlap shows how many matched products are sold on two or all three apps, and which items are exclusive to one platform.
The old version of this page showed SKU counts for 2020–2026 without a source. This report removes them; the table below gives indicative ranges until measured counts from a defined collection window are added.
| Assortment metric | What it shows | Finding 3 – value by platform (indicative) |
|---|---|---|
| SKUs listed per category | Range depth | Est. 300–1,200 SKUs per store in core categories; larger 5,000+ sq ft stores carry 1.5–2× more |
| Brands per category | Brand choice for shoppers | Est. 15–60 brands per category |
| Private-label share | Retailer-owned range | Est. 2–6% of listed SKUs |
| Overlap across all three apps | Shared assortment | Est. 55–65% of matched SKUs |
| Platform-exclusive SKUs | Unique range | Est. 8–15% per platform |
| New listings in window | Speed of range changes | Est. 3–6% of range per month |
Prices and stock on quick commerce apps are set at dark-store level, so two neighbourhoods in the same city can see different results. This makes pincode-level data essential for any national brand.
Store density matters here. A metro pincode may be served by several dark stores across three or more apps, while a smaller city may have one app with a narrower range. Flipkart Minutes alone was reported in 130 cities by June 2026 (Outlook Business), and Blinkit has said it plans to reach 3,000 stores by March 2027 (Storyboard18).
Actowiz sets a delivery location for each pincode, collects the same basket and compares price, discount and stock across locations.
| City tier | Signal | Finding 4 – price and stock variance (indicative) |
|---|---|---|
| Metro (e.g. Delhi NCR, Mumbai, Bengaluru) | Price spread for the same SKU across pincodes | Est. most SKUs within ±2–5%; discounted items up to 10–15% |
| Metro | Out-of-stock rate spread across pincodes | Est. 2–3× difference between pincodes in the same city |
| Tier 2 cities | Number of apps serving each pincode | Est. 1–2 apps (3+ in metros) |
| Tier 2 cities | Range size vs metro stores | Est. 60–80% of metro range |
| All tracked cities | Share of SKUs with different prices by pincode | About 22% of SKUs show different effective prices (Actowiz, Feb 2026); est. 15–25% |
The shelf price is only part of what a shopper pays. Delivery fees, handling or platform fees, small-cart fees, surge charges and membership benefits can change which app is cheapest for a given basket.
Promotions are also more complex than a single discount. Apps run app-wide sales, bank and wallet offers, "buy more save more" ladders, combo packs and free-item thresholds. Brands use promotion data to see how often competitors are discounted and by how much.
Actowiz records fees and offers exactly as shown at checkout preview or on product pages for a test basket, without placing orders or logging into shopper accounts. Membership-only pricing is noted as a label, not collected behind a login.
| Signal | Why it matters | Finding 5 / Finding 6 – value by platform (indicative) |
|---|---|---|
| Delivery fee at basket thresholds | Real cost of small baskets | Finding 5: ₹30 below ₹199 on Blinkit and Instamart; ₹30 below ₹99 on Zepto (Upstox, Nov 2025) |
| Handling / platform / small-cart fees | Hidden cost per order | Finding 5: handling Blinkit ₹4, Instamart ₹9.8, Zepto nil; small-cart Blinkit ₹20, Instamart ₹15 (Upstox, Nov 2025) |
| Share of tracked SKUs on discount | Promotion intensity | Finding 6: Est. 30–45% of tracked SKUs |
| Average discount depth vs MRP | How aggressive offers are | Finding 6: Zepto 10–22%, Blinkit 8–20%, Instamart 7–18% in December (Actowiz December analysis) |
| Sponsored or "featured" placements in search | Visibility for brands | Finding 6: Est. 2–4 of the first 10 search results |
| Final basket cost (price + fees) | Which app is cheapest overall | Finding 6: Est. within ₹10–25 across apps on a ₹500 basket; Zepto often lowest on small baskets after its fee waiver |
Together these signals give a competitive position score: price, availability, range and visibility for each brand on each app. That is the view most brand and category teams now ask Actowiz for.
Actowiz collects publicly visible product, price and availability data from quick commerce apps and turns it into structured, matched datasets and dashboards.
India's quick commerce market is now large, fast-growing and fiercely competitive. Blinkit leads on scale, Zepto and Swiggy Instamart are each above 1,100 dark stores, and Flipkart Minutes and Amazon Now are adding stores quickly. For brands, this means more shelves to watch and more places where price, stock and range can slip.
Company results describe the market. Shelf-level data – matched prices, out-of-stock rates, assortment overlap, pincode variance and fees – shows how each brand is actually performing. Download the full report or request a sample quick commerce dataset to see the 2026 findings for your categories.
It is product-level data from quick commerce apps: product name, brand, pack size, MRP, selling price, discount, stock status and listing presence, collected by location and time. It shows how each product is priced and stocked across Blinkit, Zepto, Swiggy Instamart and other apps.
Based on reported FY26 orders and dark stores, Blinkit is the largest, with 916.6 million orders in FY26 and 2,443 dark stores by June 2026. Zepto and Swiggy Instamart each operated over 1,100 dark stores at the end of FY26.
Each app sets prices and offers by dark store, runs its own promotions and bank offers, and charges different fees. Pack sizes and combos also differ, so accurate comparisons need product matching and pincode-level collection.
Daily tracking suits most price and promotion monitoring. For stock-outs in fresh and dairy, two or more runs a day (morning and evening) give a more accurate picture.
Collecting publicly visible business data such as listed prices is common practice, but site terms and Indian law apply. Actowiz collects public data only, does not use shopper logins or personal data, and recommends a legal review for each use case.
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