Indian fashion online retailer Myntra recorded about ** million visits on its website domestically in March 2024. On the other hand, about *** million visitors to the site originated from the United States during the same time period.

The Myntra Products Dataset serves as a comprehensive resource empowering businesses, researchers, and analysts to gain a comprehensive understanding of the Myntra fashion and lifestyle platform. Whether your aim is to conduct market analysis, refine pricing strategies, decipher customer behavior, or evaluate competitors, this dataset provides indispensable information to drive informed decision-making and excel in the dynamic realm of Myntra. At its foundation, this dataset includes crucial attributes such as product ID, title, ratings, reviews, pricing details, and seller information, among others. These fundamental data elements offer insights into product performance, customer sentiment, and seller reliability, enabling a thorough examination of Myntra's fashion landscape.

In financial year 2022, Myntra reported operating revenue of ***** billion Indian rupees. Marketplace and logistics services accounted for over ** and ** billion Indian rupees respectively to the total income.

Traffic analytics, rankings, and competitive metrics for myntra.com as of August 2025

Myntra is a major Indian fashion e-commerce company. The crawl Feeds team extracted more than 30K+ records for research and analysis purposes. Last extracted on 25th July 2021.

Contact crawl feeds team to customize dataset as per your needs like format changes, data frequency, and adding or removing fields.

Over the last decade, e-commerce and digital shopping had seen a boom in India on par with the global trend. Of the total retail sales in the country, it was estimated that in 2019, the share of e-commerce would be almost **** percent. In fact, the retail e-commerce sales in India was forecasted to grow at a fast pace with projections of over 45 billion U.S. dollars in 2021 from just ** billion dollars in 2016, with an estimated retail revenue growth of over ** billion dollars by 2023. Market size of India’s E-commerce industry The market size for India’s e-commerce industry was already over ** billion U.S. dollars in 2017, and it was forecasted to be worth *** billion dollars in 2025. However, the penetration of active e-commerce in India was just around ** percent, compared to other Asia Pacific countries like South Korea which had over ** percent penetration of active users. Nevertheless, this was a highly optimistic sign since it pointed out the room for growth in the Indian e-commerce market. Naturally, analysts suggested that the Indian e-commerce market was expected to surpass the United States to become the second largest e-commerce market in the world by 2034. A cascading growth trend According to Statista calculations, India already ranks first in terms of B2C e-commerce development with a compound annual growth rate of **** from 2019 to 2023. In the last few years, B2B and B2C companies like Amazon, Flipkart and Myntra led the online shopping market in the country by collectively generating net sales of over **** billion U.S. dollars in financial year 2017 alone. This high growth trend in the e-commerce industry had directly impacted the micro, small and medium enterprises in the country and had provided them with new marketing platforms along with a technological uplift.

E-Commerce Sales Dataset

Analyzing and Maximizing Online Business Performance

By ANil [source]

About this dataset

This dataset provides an in-depth look at the profitability of e-commerce sales. It contains data on a variety of sales channels, including Shiprocket and INCREFF, as well as financial information on related expenses and profits. The columns contain data such as SKU codes, design numbers, stock levels, product categories, sizes and colors. In addition to this we have included the MRPs across multiple stores like Ajio MRP , Amazon MRP , Amazon FBA MRP , Flipkart MRP , Limeroad MRP Myntra MRP and PaytmMRP along with other key parameters like amount paid by customer for the purchase , rate per piece for every individual transaction Also we have added transactional parameters like Date of sale months category fulfilledby B2b Status Qty Currency Gross amt . This is a must-have dataset for anyone trying to uncover the profitability of e-commerce sales in today's marketplace

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive overview of e-commerce sales data from different channels covering a variety of products. Using this dataset, retailers and digital marketers can measure the performance of their campaigns more accurately and efficiently.

The following steps help users make the most out of this dataset: - Analyze the general sales trends by examining info such as month, category, currency, stock level, and customer for each sale. This will give you an idea about how your e-commerce business is performing in each channel.
- Review the Shiprocket and INCREF data to compare and analyze profitability via different fulfilment methods. This comparison would enable you to make better decisions towards maximizing profit while minimizing costs associated with each method’s referral fees and fulfillment rates.
- Compare prices between various channels such as Amazon FBA MRP, Myntra MRP, Ajio MRP etc using the corresponding columns for each store (Amazon MRP etc). You can judge which stores are offering more profitable margins without compromising on quality by analyzing these pricing points in combination with other information related to product sales (TP1/TP2 - cost per piece).
- Look at customer specific data such as TP 1/TP 2 combination wise Gross Amount or Rate info in terms price per piece or total gross amount generated by any SKU dispersed over multiple customers with relevant dates associated to track individual item performance relative to others within its category over time periods shortlisted/filtered appropriately.. Have an eye on items commonly utilized against offers or promotional discounts offered hence crafting strategies towards inventory optimization leading up-selling operations.?
- Finally Use Overall ‘Stock’ details along all the P & L Data including Yearly Expenses_IIGF information record for takeaways which might be aimed towards essential cost cutting measures like switching amongst delivery options carefully chosen out of Shiprocket & INCREFF leadings away from manual inspections catering savings under support personnel outsourcing structures.?

By employing a comprehensive understanding on how our internal subsidiaries perform globally unless attached respective audits may provide us remarkably lower operational costs servicing confidence; costing far lesser than being incurred taking into account entire pallet shipments tracking sheets representing current level supply chains efficiencies achieved internally., then one may finally scale profits exponentially increases cut down unseen losses followed up introducing newer marketing campaigns necessarily tailored according playing around multiple goods based spectrums due powerful backing suitable transportation boundaries set carefully

Research Ideas

• Analysing the difference in profitability between sales made through Shiprocket and INCREFF. This data can be used to see where the biggest profit margins lie, and strategize accordingly.
• Examining the Complete Cost structure of a product with all its components and their contribution towards revenue or profitability, i.e., TP 1 & 2, MRP Old & Final MRP Old together with Platform based MRP - Amazon, Myntra and Paytm etc., Currency based Profit Margin etc.
• Building a predictive model using Machine Learning by leveraging historical data to predict future sales volume and profits for e-commerce products across multiple categories/devices/platforms such as Amazon, Flipkart, Myntra etc as well providing m...

Description

This dataset includes all information about all the products available on the men's t-shirt section in myntra.com

The columns of the dataset include: Brand: The brand of the product (eg: Nike, Adidas, H&M) Title: The title of the product(eg: Polo T-shirt, Solid Men's T-shirt) Selling Price: The selling price of the product on the site. (in ₹ INR ) Price: The MRP (maximum retail price) of the item. (in ₹ INR ) Discount: Percent discount is given on the product.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Amazon India recorded the highest sales at *** million U.S. dollars compared to its e-tailing counterparts in 2017. Home brand Flipkart came in at a close second with about *** million dollars during the same time.   Amazon versus Flipkart Bangalore based e-commerce company Flipkart was established in 2007. Initially offering book sales, it has expanded, like its American competitor, to include electronics, consumer goods, and lifestyle products. Having held nearly ** percent of the e-tail market in fiscal year 2017, the Indian company went on to acquire Myntra and Jabong, both online apparel sellers. The peak of competition has been measured by far during Deepavali sales. Flipkart and Amazon dominated with ** million online shoppers in the last two festival seasons, accounting for most of the estimated three-billion-dollar gross merchandise value. Changing lifestyles, increasing convenience   With increasing urbanization and a growing digital population, city lifestyles are becoming less and less conducive to being able to shop physically, for lack of time, energy, and convenience. A staggering growth in the country’s digital payments sector acts as a catalyst for carrying out activities online. This, in large part, includes online shopping, especially in the Indian context with its myriad cultural festivals and the need for gifting. It comes as no surprise that the Indian startup market, specifically its digital sector, is well funded, giving the economy one unicorn after another.

Myntra Jabong Indİa Prİvate Lİmİted Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

In-store data presents information about retail businesses' in-store activities and metrics such as footfall traffic (people counting), customer behavior, sales data, customer buying patterns, and product stocks. Data analytics is the science of analyzing raw data to make conclusions about that information. Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make strategically-guided decisions. They are primarily responsible for interpreting and analyzing vast datasets. Target women customers of the age group(30-49) years living in Maharashtra, Karnataka, and Uttar Pradesh by showing ads/offers/coupons Available on Amazon, Flipkart, and Myntra.

Download the data here; https://bit.ly/3Ypatqu

ZARA UK Fashion Dataset offers an extensive collection of fashion product data from ZARA's UK online store, providing a detailed overview of available items. This dataset is valuable for analyzing the European fashion retail market, particularly in the UK, and includes fields such as product titles, URLs, SKUs, MPNs, brands, prices, currency, images, breadcrumbs, country, availability, unique IDs, and timestamps for when the data was scraped.

Key Features:

• Product Details: Includes title, URL, SKU (Stock Keeping Unit), MPN (Manufacturer Part Number), and brand for each product, helping to uniquely identify and differentiate items.
• Pricing Information: Features the price of each product along with the currency used (GBP) to understand the pricing strategies of ZARA in the UK market.
• Visual Data: High-quality images of each product, essential for visual merchandising analysis and online consumer behavior studies.
• Categorical Information: Breadcrumbs data provide context on the product's placement within ZARA's website structure, helping to analyze navigation and product hierarchy.
• Geographical Focus: Specific to the UK market, making it relevant for studies on British fashion retail and consumer trends.
• Availability Status: Includes real-time availability data, which is crucial for understanding stock levels, popular products, and restocking practices.
• Unique Identifiers: Each product is tagged with a uniq_id, ensuring data integrity and making it easier to track and analyze over time.
• Data Collection Timestamp: The scraped_at field records the exact time and date when the data was collected, aiding in time-based analysis of inventory and pricing.

Potential Use Cases:

• Market Research: Analyze UK and European fashion trends, consumer preferences, and competitive positioning within the fast fashion sector.
• E-commerce Analysis: Study ZARA's product placement, pricing, and availability to optimize online retail strategies.
• Stock Management: Use SKU and availability data to predict inventory needs and enhance supply chain efficiency.
• Brand Analysis: Examine the impact of brand identity on consumer choices and product performance in the UK market.
• Academic Research: Ideal for research projects focused on fashion retail, marketing strategies, and consumer behavior in Europe.

Data Sources:

The data is meticulously collected from ZARA's official UK website and other reliable retail databases, reflecting the latest product offerings and market dynamics specific to the UK and European fashion markets.

• ZARA US Retail Products Dataset: Explore over 10,000 product records from ZARA's USA online store, including titles, prices, images, and availability.
  
  
• Fashion Products Dataset from GAP.com: Access detailed product information from GAP's online store, featuring over 4,500 fashion items with attributes like price, brand, color, reviews, and images.
  
  
• Myntra Fashion Products Dataset: A comprehensive dataset from Myntra.com, offering over 12,000 fashion products with detailed attributes for in-depth analysis.

Myntra Jabong India Private Limited My Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This statistic illustrates the share of shoppers spending more than Rs 5000 in e-tail industry in India in 1st quarter of 2017, based on company. Flipkart had approximately ** percent of shoppers spending more than Rs 5000 in 1st quarter of 2017, while Myntra had just around **** percent of the shoppers spending more than Rs 5000 during the same time period.

Myntra Jabong India Private Limited Myn Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Myntra Jabong India Private Limited Mynt Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

In 2022, the business-to-consumer (B2C) e-commerce market size stood at ** billion U.S. dollars in India. The B2C e-commerce market is likely to increase to *** billion U.S. dollars by 2030. Moreover, branded websites saw a significant growth of over ** percent in the B2C e-commerce market. Social commerce Social media plays a crucial role in day-to-day life due to increased internet penetration and the availability of low-cost data packages. As a result, social media platforms have over *** million active users. Social commerce has become popular because social media offers brands not only a platform for advertisement but also for sales of products. Therefore, the market size of social commerce in India was estimated to be ** billion U.S. dollars in 2024. The popular social commerce platforms in the country are Facebook, Instagram, and Snapchat. Live commerce The new form of e-commerce deals with the use of digital platforms to sell products and engage with customers through livestream mostly with the help of influencers. Major e-commerce players such as Flipkart, Amazon, and Myntra have incorporated live commerce, with the beauty and personal care segment being the most popular. About ** percent of Indian consumers are interested in using live commerce while shopping. Besides, the main reason for using live commerce was that consumers can get answers related to the warranty and return of products bought online.

The report covers Online Accessories GMV India, India Online Footwear Sales, Gross Merchandize Value Fashion Sales, Snapdeal Fashion GMV India, NPS Score Flipkart Fashion, Amazon GMV from Fashion, Market Share Myntra Online Fashion,Trends Online Fashion Retail Market, India Online Fashion Net Cancellations, Gross Transaction Value Online Fashion India, India Online Fashion Retail Statistics, Competition Online Fashion Companies, Challenges Online Fashion Market, Online Bag Sales India, Online Jewelry Sales GMV India, Belts and Ties Sales India Market, Apparel Ecommerce Market 2016, Industry Size Growth Online Fashion, Online Apparel Boom India, India CAGR Online Fashion.