According to forecasts, net sales of electrical products on Amazon are forecast at over *** billion U.S. dollars. With a compound annual growth rate of **** percent, this figure is expected to exceed *** billion dollars by 2026. Yet, the category expected to grow the strongest on the e-commerce platform is health and beauty.

Amazon is one of the most recognisable brands in the world, and the third largest by revenue. It was the fourth tech company to reach a $1 trillion market cap, and a market leader in e-commerce,...

Dataset Description

The DataSet contains historical sales data for 45 Amazon stores located in different regions. Each store contains a number of departments, and have to predict the department-wide sales for each store.

In addition, Amazon runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the Dataset is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data.

This file contains anonymized information about the 45 stores, indicating the type and size of store.

This is the historical training data, which covers to 2019-02-05 to 2021-11-01. Within this file you following are the different fields:

Store - the store number Dept - the department number Date - the week Weekly_Sales - sales for the given department in the given store IsHoliday - whether the week is a special holiday week Temperature - average temperature in the region Fuel_Price - cost of fuel in the region MarkDown1-5 - anonymized data related to promotional markdowns that Amazon is running. MarkDown data is only available after Nov 2011, and is not available for all stores all the time. Any missing value is marked with an NA. CPI - the consumer price index Unemployment - the unemployment rate For convenience, the four holidays fall within the following weeks in the dataset (not all holidays are in the data):

Super Bowl: 12-Feb-19, 11-Feb-20, 10-Feb-21, 8-Feb-18 Labor Day: 10-Sep-19, 9-Sep-20, 7-Sep-21, 6-Sep-18 Thanksgiving: 26-Nov-19, 25-Nov-20, 23-Nov-21, 29-Nov-18 Christmas: 31-Dec-19, 30-Dec-20, 28-Dec-21, 27-Dec-18

DES is publishing the Amazon spend for state agencies collected through the Washington State Amazon Business account. The data set only includes closed orders. Any orders that are still in process or have been cancelled are not included. This data is for Fiscal Year 22 (July 1, 2021 to June 30, 2022). Data is updated monthly.

In 2021, Amazon's gross merchandise volume (GMV) was estimated to amount to *** billion U.S. dollars. From this sum, *** billion dollars were from products sold through Amazon's third-party sellers and *** billion from Amazon as a retailer.

In 2019, Amazon's retail e-commerce sales in the United States amounted to ***** billion U.S. dollars and are projected to surpass *** billion U.S. dollars in 2021. The platform is the biggest e-retailer in the United States, ahead of brick-and-mortar-based competitors Walmart and Target.

The 2021 Amazon Last Mile Routing Research Challenge was an innovative research initiative led by Amazon.com and supported by the Massachusetts Institute of Technology’s Center for Transportation and Logistics. Over a period of 4 months, participants were challenged to develop innovative machine learning-based methods to enhance classic optimization-based approaches to solve the travelling salesperson problem, by learning from historical routes executed by Amazon delivery drivers. The primary goal of the Amazon Last Mile Routing Research Challenge was to foster innovative applied research in route planning, building on recent advances in predictive modeling, and using a real-world problem and data. The dataset released for the research challenge includes route-, stop-, and package-level features for 9,184 historical routes performed by Amazon drivers in 2018 in five metropolitan areas in the United States. This real-world dataset excludes any personally identifiable information (all route and package identifiers have been randomly regenerated and related location data have been obfuscated to ensure anonymity). Although multiple synthetic benchmark datasets are available in the literature, the dataset of the 2021 Amazon Last Mile Routing Research Challenge is the first large and publicly available dataset to include instances based on real-world operational routing data. The dataset is fully described and formally introduced in the following Transportation Science article: https://pubsonline.informs.org/doi/10.1287/trsc.2022.1173

I roundup the latest Amazon Prime statistics which show just how big Amazon Prime has become and will continue to be.

Title: Daily Stock Market Data for Amazon.com Inc Description: This dataset presents daily stock market data for a specific stock, covering the period from May 28, 2019, to May 24, 2024. The dataset includes essential information such as date, closing or last trading price, trading volume, opening price, highest price during the day, and lowest price during the day. Investors and analysts can utilize this dataset to analyze the stock's performance, track price movements, and identify trading patterns during this four-day period. It provides valuable insights for those interested in understanding short-term market trends and making informed investment decisions.

Context

This dataset was created by our in-house Web Scraping and Data Mining teams at PromptCloud and DataStock. You can download the full dataset here. This sample contains 5K records. You can download the full dataset here

Content

Total Records Count: 38410  Domain Name: amazon.fr  Date Range: 01st Jan 2021 - 28th Feb 2021   File Extension: tsv

Available Fields : Uniq Id, Crawl Timestamp, Dataset Origin, Product Id, Product Barcode, Product Company Type Source, Product Brand Source, Product Brand Normalised Source, Product Name Source, Match Rank, Match Score, Match Type, Retailer, Product Category, Product Brand, Product Name, Product Price, Sku, Upc, Product Url, Market, Product Description, Product Currency, Product Available Inventory, Product Image Url, Product Model Number, Product Tags, Product Contents, Product Rating, Product Reviews Count, Bsr, Joining Key  

Acknowledgements

We wouldn't be here without the help of our in house web scraping and data mining teams at PromptCloud and DataStock.

Inspiration

This dataset was created keeping in mind our data scientists and researchers across the world.

Since 2022, downloads of the Amazon Business app have boosted worldwide. In September 2022, the popular B2B marketplace application was downloaded about ******* times, reaching a nearly two-year peak. In May 2025, mobile downloads hit *** thousand.

In 2024, Amazon Prime Day sales reached a massive $14.2 billion in comparison to $12.9 billion in 2023. This was a huge $1.3 billion increase.

Amazon made $40.2 billion from memberships and subscriptions in 2023.

Context

Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. This dataset contains daily data on the top 100 most popular products based on sales. It will be updated on a weekly basis. The data in this dataset was extracted from Amazon Best Sellers page: https://www.amazon.com/Best-Sellers-Electronics/zgbs/electronics/

Content

As of now, the dataset consists of data for February-July 2021 and 6 features: - Date - Number in rating - Product name - Rating - Number of reviews - Price

In 2019, Amazon was estimated to have generated over 346 billion U.S. dollars in retail e-commerce sales annually. E-retail sales of the company are projected to reach 468.78 billion U.S. dollars in 2021.Amazon is the world's largest online marketplace as measured by revenue and market capitalization.

Dataset on Amazon's top 100 selling products 2021. Data has been categorized into; - ASIN - Category - Product Link - No of Sellers - Rating - Reviews Count - Price

Type of Categories are as follow:

• Electronics
• Clothing, Shoes & Jewelry
• Gift Cards
• Books
• Video Games
• Camera & Photo
• Toys & Games

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While having slowed down from an impressive 24.9 percent year-on-year growth in 2017, Amazon's retail e-commerce sales in the United States are still growing in the double digits. In 2019, U.S. e-retail sales of the online platform increased by 19.1 percent and amounted to over 222.6 billion U.S. dollars.

This dataset contains radiometric, limnologic, and taxonomic data from LabISA’s field campaign carried out in September 2021 in the Amazon region. These data were acquired in the context of the BONDS and SABERES projects (FAPESP-Grant 2018/12083-1). The campaign was composed by three different field sites: Curuai lake, Arapiuns river, and Tapajós river.

Amazon Prime’s global subscriber growth rate has accelerated over the last 5 years. Today Amazon currently has 200 million Amazon Prime members around the world.

According to the latest Amazon Prime statistics, about 81% of US internet users aged 18 to 34 have a paid Amazon Prime membership.