Amazon Sales Dataset Description This dataset contains 250 records of Amazon sales transactions, including details about the products sold, customers, payment methods, and order statuses.

Columns Description: Order ID - Unique identifier for each order (e.g., ORD0001).

Date - Date of the order.

Product - Name of the product purchased.

Category - Product category (Electronics, Clothing, Home Appliances, etc.).

Price - Price of a single unit of the product.

Quantity - Number of units purchased in the order.

Total Sales - Total revenue from the order (Price × Quantity).

Customer Name - Name of the customer.

Customer Location - City where the customer is based.

Payment Method - Mode of payment (Credit Card, Debit Card, PayPal, etc.).

Status - Order status (Completed, Pending, or Cancelled).

This dataset can be used for sales analysis, customer behavior insights, and revenue trends visualization. 🚀

https://www.kaggle.com/code/mithilesh9/amazon-sales-data-analysis-using-python

Dataset Description This dataset contains a 100 rows of sales data for Amazon, including the region, country, item type, sales channel, order priority, order date, order ID, ship date, units sold, unit price, unit cost, total revenue, total cost, and total profit.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F19501062%2F5d10a624d07eefb2240c474ca00114b6%2FScreenshot%202024-06-25%20135139.png?generation=1719303822906805&alt=media" alt="">

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,...

According to forecasts as of March 2022, the sales share of electrical products on Amazon was expected at **** percent that year. By 2027, electrical products will make up **** percent of Amazon sales. Additionally, fashion and apparel was forecast to make up **** percent of Amazon sales by 2027, *** percentage point higher than in 2022.

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This Data is a Amazon Product Sales. This Dataset about Amazon Sales Contain 3204 Rows and 9 Columns. You Can Apply Various thing you can make DashBoard and perform Analysis many more..

Column Description:

Order Date - Order_Date.

Ship Date - Shipping Date.

Email_ID - Email_ID of Users

Geography - Location of Orders by Users.

Category - Product Category

Product Name - Product Name of Amazon

Sales - Amazon Product Sales

Quantity - how many units of a particular product are available.

Profit - Amazon Sales Profit

Dataset

This dataset was created by MD Sazzat Sardar

Contents

In 2025, Amazon Prime Day sales were estimated to have reached nearly ** billion U.S. dollars in the United States, as the latest edition of the sale event lasted **** days instead of ***. Originally launched in July 2015 as an anniversary celebration of Amazon's founding, the annual event has become one of the biggest online shopping days worldwide. While in 2020 Prime Day was moved to October due to the coronavirus pandemic, in 2021 the celebration was held in the month of June. On both occasions the event lasted ** consecutive hours.

From 2004 to 2024, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the fiscal year ending December 31, the multinational e-commerce company's net revenue was almost 638 billion U.S. dollars, up from 575 billion U.S. dollars in 2023.Amazon.com, a U.S. e-commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2024, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2024, Amazon’s brand worth amounts to over 185 billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2023 was actually earned in the United States, Canada, and Mexico. In 2023, approximately 353 billion U.S. dollars was earned in North America compared to only roughly 131 billion U.S. dollars internationally.

With 438 billion U.S. dollars in net sales, the United States were Amazon’s biggest market in 2024. Germany was ranked second with 41 billion U.S. dollars, ahead of the UK with 37.9 billion U.S. dollars. Biggest internet company Founded in 1994, Amazon has grown into one of the biggest e-commerce marketplaces and cloud computing platforms worldwide. In 2020, Amazon was ranked first in terms of company revenue among global publicly traded internet companies. With an annual revenue of approximately 386 billion U.S. dollars, the e-retailer ranked far ahead of closest competitors Google (181.7 billion U.S. dollars) and Alibaba (109.5 billion U.S. dollars). Amazon shopping Amazon is the leading e-retailer in the United States. In September 2021, 65 percent of Amazon customers in the United States held a membership with the company’s subscription service Amazon Prime, benefitting from free 2-day shipping, music and video streaming and exclusive offers and deals. Amazon Prime members are very engaged shoppers: a June 2021 survey found that over four in ten of them were likely to shop not just during Prime days, but also during other retail events, with 56 percent of them showing interest for Cyber Monday.

Amazon reported $180.2B in Sales Revenues for its fiscal quarter ending in September of 2025. Data for Amazon | AMZN - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Dataset

This dataset was created by Minha Manal

Contents

1) Data Introduction • The Amazon Sales Dataset includes e-commerce product and consumer feedback data, including details on more than 1,000 products collected from Amazon's official website, discount prices, ratings, reviews, and categories.

2) Data Utilization (1) Amazon Sales Dataset has characteristics that: • The dataset includes a variety of product and review-related attributes, including product ID, product name, category, real and discounted prices, discount rates, ratings, rating numbers, product descriptions, user reviews, images, and product links. (2) Amazon Sales Dataset can be used to: • Product Rating and Review Analysis: Use rating and review data to analyze consumer satisfaction, popular products, review trends, and develop marketing strategies for each product. • Development of Price Policy and Recommendation System: Based on price information such as actual price, discount price, and discount rate, it can be used for price policy analysis, product recommendation system, consumer purchasing behavior prediction, etc.

This dataset contains 100,000 synthetic Amazon-style e-commerce sales transactions, designed to closely resemble real-world online retail behavior. With 20 clean and well-structured columns, it captures detailed information about customers, products, pricing, payments, logistics, and order outcomes.

Although the data is artificially generated, it reflects realistic patterns such as:

Dynamic product pricing

Varying discounts and taxes

Multiple product categories & brands

Seasonal order trends

Payment method diversity

Realistic customer names & locations

Order statuses like Delivered, Cancelled, Shipped, Returned

This makes the dataset highly suitable for analytics, machine learning, data visualization, dashboards, and business case studies.

📊 Column Overview

The dataset includes:

🧾 Order Details

OrderID

OrderDate

OrderStatus

SellerID

👤 Customer Information

CustomerID

CustomerName

City, State, Country

📦 Product Information

ProductID

ProductName

Category

Brand

Quantity

💰 Pricing & Revenue Metrics

UnitPrice

Discount

Tax

ShippingCost

TotalAmount

💳 Payment Details

PaymentMethod

Amazon not only boasts a hugely successful online retail platform but also a thriving digital marketplace, which is seamlessly integrated with the main retail shopping experience. That being said, in the third quarter of 2025, ** percent of paid units were sold by third-party sellers. 1P and 3P Amazon sellers There are many ways of selling on Amazon. Firstly there are first-party (1P) vendor sales, where vendors send their inventory to Amazon, who in turn control the pricing and include “ships from and sold by Amazon.com” on product listings. The benefits of 1P sales on Amazon are wholesale purchases from Amazon, priority selling and brand trust through Amazon’s credibility as a seller. Amazon also permits third-party (3P) sales on its marketplace. Both individuals and professional sellers can sell on Amazon Marketplace. When it comes to order fulfillment, possible options are Fulfillment by Amazon (FBA) and Fulfillment by Merchant (FBM). Items are displayed as “sold by MERCHANT and Fulfilled by Amazon / Fulfilled by MERCHANT”. 3P sales are a popular strategy for sellers to make up for certain 1P sales disadvantages, namely improved margins through better pricing control, more favorable payment terms and less reliance on the relationship with Amazon. Amazon seller revenues This magic formula has ultimately cashed in for Amazon, which has seen its net revenues multiply in recent years. In 2023, the e-commerce giant generated approximately *** billion dollars in third-party seller services, an increase of about ** billion dollars from the previous year. While these figures are the product of orders throughout the year, a significant chunk is attributable to special offer and discount days. According to a survey, Black Friday is the shopping event driving the largest sales increase for Amazon sellers, followed by two of the company's own events, Prime Day and Amazon Summer Sale. In the context of the coronavirus pandemic, Amazon Prime Day played a particularly decisive role for small and medium-sized businesses around the world, many of which had to turn to online sales overnight in order to survive.

In 2022, Amazon is expected to record an estimated ***** billion U.S. dollars in e-commerce sales. Of this value, first-party sales would account for 247.2 billion dollars and third-party sales for *** billion. Sales in both business models were forecast to continue growing in the coming years, though the 3P business model will do so at a much faster pace.

1) Data Introduction • The Amazon Products Sales Dataset 2023 is a large e-commerce dataset that summarizes various product information in a tabular format, including product name, price, rating, discount information, images, and links by 142 major categories collected from Amazon's website.

2) Data Utilization (1) Amazon Products Sales Dataset 2023 has characteristics that: • Each row contains 10 key attributes, including product name, main/subcategory, image, Amazon link, rating, number of ratings, discount price, and actual price. • The data encompasses a wide range of products and is structured to enable multi-faceted analysis such as price policy, customer evaluation, and trend by category. (2) Amazon Products Sales Dataset 2023 can be used to: • Product Recommendation and Marketing Strategy: Use rating, price, and category data to develop a customized recommendation system, analyze popular products, and establish a category-specific marketing strategy. • Price and Discount Policy Analysis—Based on discounted prices and actual prices, ratings, reviews, etc., it can be applied to effective pricing policies, promotion strategies, market competitiveness analyses, and more.

Comprehensive statistical analysis of Amazon seller monthly revenue, profit margins, and business performance metrics based on survey data from nearly 2,000 sellers across 100+ countries

The "Amazon Sales Data" dataset is a comprehensive collection of 12 CSV files, each representing a month's worth of Amazon sales data. This dataset provides valuable insights into the ordering patterns, product details, quantities, prices, order dates, and purchase addresses associated with Amazon orders.

The dataset contains the following columns:

1. Order ID: Unique identification number for each order.
2. Product: Description of the product being ordered.
3. Quantity Ordered: The quantity of the product ordered in a particular transaction.
4. Price Each: The price of each product unit.
5. Order Date: The date and time when the order was placed.
6. Purchase Address: The address where the order was delivered.

By analyzing this dataset, users can gain a deep understanding of Amazon sales trends over the course of 12 months. It provides a valuable resource for market research, sales forecasting, product analysis, and customer behavior analysis. Researchers, data scientists, and business professionals can leverage this dataset to uncover patterns, identify popular products, understand pricing strategies, and derive actionable insights for optimizing sales and business strategies.

Please note that this dataset is anonymized and does not contain any personally identifiable information (PII) of customers or sensitive financial details. It is intended for educational and analytical purposes.

Explore our extensive Amazon Product Dataset, featuring detailed information on prices, ratings, sales volume, and more.