Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Dataset Overview:
Contains sales data from Blinkit, including product details, order quantities, revenue, and timestamps.
Useful for demand forecasting, price optimization, trend analysis, and business insights.
Helps in understanding customer behavior and seasonal variations in online grocery shopping.
Potential Use Cases:
- Time Series Analysis: Analyze sales trends over different periods.
- Demand Forecasting: Predict future product demand based on historical data.
- Price Optimization: Identify the impact of pricing on sales and revenue.
- Customer Behavior Analysis: Understand buying patterns and preferences.
- Market Trends: Explore how different factors affect grocery sales performance.
This dataset can be beneficial for data scientists, business analysts, and researchers looking to explore e-commerce and retail trends. Feel free to use it for analysis, machine learning models, and business intelligence projects.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2Fa633fb36dc370263696b5d2ec940c74f%2FScreenshot%202025-06-16%20082824.png?generation=1750086765806732&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2F8843129c88c2f57d66006a3ac9d37dc7%2FScreenshot%202025-06-16%20084001.png?generation=1750086777975125&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2Ffa4f29a8f4cc763a1cc66c7913c077e8%2FScreenshot%202025-06-16%20084007.png?generation=1750086787100561&alt=media" alt="">
In the financial year 2024, the Indian online grocery delivery service Blinkit had a revenue of more than ***billion Indian rupees. This was a ******** increase in comparison to the previous year. The rebranding of Blinkit (previously known as Grofers) was done to focus on the quick commerce services in India.
As of September 2024, among the quick commerce market players, Blinkit held a market share of nearly ** percent. Swiggy Instamart followed with a ** percent share in India. Quick commerce shows robust growth In 2024, the gross merchandise value (GMV) of quick commerce in the country surged to over ***** billion U.S. dollars, a substantial increase from the previous year. This consistent growth in GMV underscores the escalating demand for quick commerce services in India, indicating a promising trajectory for the industry. Zepto's remarkable revenue growth During the financial year 2023, Zepto demonstrated unprecedented revenue growth, exceeding ************ percent, while BigBasket lagged with a mere **** percent growth. This substantial disparity highlights the significant impact of Zepto's rapid growth on the competitive landscape of quick commerce in India, particularly in the grocery segment. The emergence of such dynamic players has reshaped the market, intensified competition, and driven innovation within the industry.
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Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Dataset Overview:
Contains sales data from Blinkit, including product details, order quantities, revenue, and timestamps.
Useful for demand forecasting, price optimization, trend analysis, and business insights.
Helps in understanding customer behavior and seasonal variations in online grocery shopping.
Potential Use Cases:
- Time Series Analysis: Analyze sales trends over different periods.
- Demand Forecasting: Predict future product demand based on historical data.
- Price Optimization: Identify the impact of pricing on sales and revenue.
- Customer Behavior Analysis: Understand buying patterns and preferences.
- Market Trends: Explore how different factors affect grocery sales performance.
This dataset can be beneficial for data scientists, business analysts, and researchers looking to explore e-commerce and retail trends. Feel free to use it for analysis, machine learning models, and business intelligence projects.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2Fa633fb36dc370263696b5d2ec940c74f%2FScreenshot%202025-06-16%20082824.png?generation=1750086765806732&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2F8843129c88c2f57d66006a3ac9d37dc7%2FScreenshot%202025-06-16%20084001.png?generation=1750086777975125&alt=media" alt="">
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16299142%2Ffa4f29a8f4cc763a1cc66c7913c077e8%2FScreenshot%202025-06-16%20084007.png?generation=1750086787100561&alt=media" alt="">