3 datasets found
  1. Blinkit Marketing and Customer Feedback Dashboard

    • kaggle.com
    Updated Jun 16, 2025
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    Yash motiani (2025). Blinkit Marketing and Customer Feedback Dashboard [Dataset]. https://www.kaggle.com/datasets/yashmotiani/blinkit-marketing-and-customer-powerbi-dashbord
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Kaggle
    Authors
    Yash motiani
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    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="">

  2. Revenue from operations of Blinkit FY 2017-2024

    • statista.com
    Updated Jun 11, 2025
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    Statista (2025). Revenue from operations of Blinkit FY 2017-2024 [Dataset]. https://www.statista.com/statistics/1289874/blinkit-india-revenue/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    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.

  3. Market share of quick commerce brands in India 2024

    • statista.com
    Updated Jun 11, 2025
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    Statista (2025). Market share of quick commerce brands in India 2024 [Dataset]. https://www.statista.com/statistics/1463659/india-quick-commerce-brands-market-share/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    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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Share
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TwitterTwitter
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Click to copy link
Link copied
Close
Cite
Yash motiani (2025). Blinkit Marketing and Customer Feedback Dashboard [Dataset]. https://www.kaggle.com/datasets/yashmotiani/blinkit-marketing-and-customer-powerbi-dashbord
Organization logo

Blinkit Marketing and Customer Feedback Dashboard

A Dynamic Dashboard in PowerBi About Marketing and Customer Feedback of Blinkit

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 16, 2025
Dataset provided by
Kaggle
Authors
Yash motiani
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Description

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="">

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