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Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.
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License information was derived automatically
Analysis of ‘E-commerce Dataset ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mervemenekse/ecommerce-dataset on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Analyzing the purchases of our customers for 1 year. How are their customer's online buying habits?
Order_Date: The date the product was ordered.
Aging: The time from the day the product is ordered to the day it is delivered.
Customer_id: Unique id created for each customer.
Gender: Gender of customer.
Device_Type: The device the customer uses to actualize the transaction (Web/Mobile).
Customer_Login_Type: The type the customer logged in. Such as Member, Guest etc.
Product_Category: Product category
Product: Product
Sales: Total sales amount
Quantity: Unit amount of product
Discount: Percent discount rate
Profit: Profit
Shipping_cost: Shipping cost
Order_Priority: Order priority. Such as critical, high etc.
Payment_method: Payment method
-What devices do my customers use to reach me? -Who is the customer base? -What product categories am I selling? -Which product categories do I sell to whom? (Gender Distribution by Category or Product?) -Which login type do my customers prefer when shopping? -How does the date and time affect my sales? (Total sales by month, the days of week or time arrival) -From which product do I earn the most profit per unit? -How is my delivery speed and order priority?(Delivery Time distribution of order priority by months)
--- Original source retains full ownership of the source dataset ---
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Graph and download economic data for E-Commerce Retail Sales (ECOMNSA) from Q4 1999 to Q4 2024 about e-commerce, retail trade, sales, retail, and USA.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Agam Kapil
Released under Apache 2.0
In 2023, global retail e-commerce sales reached an estimated 5.8 trillion U.S. dollars. Projections indicate a 39 percent growth in this figure over the coming years, with expectations to surpass eight trillion dollars by 2027.
World players Among the key players on the world stage, the Chinese retail giant Alibaba holds the title of the largest e-commerce retailer globally, accounting for a 23 percent market share. Nevertheless, forecasts suggest that by 2027, Seattle-based e-commerce powerhouse Amazon will surpass Alibaba in estimated sales, reaching a staggering 1.2 trillion U.S. dollars in online sales.
Leading e-tailing countries The Chinese e-commerce market was the biggest worldwide in 2023, as internet sales constituted almost half of the country's retail transactions. Indonesia ranked second with the highest share of retail sales online (32 percent), closely trailed by the United Kingdom and South Korea, exceeding the 30 percent mark. That year, the up-and-coming e-commerce markets centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing 20 percent.
From July to September 2024, U.S. retail e-commerce sales amounted to roughly 300 billion U.S. dollars, marking an increase compared to the previous quarter. Overall, retail e-commerce sales outdid the quarterly sales records registered in 2020. E-commerce in the post-pandemic era During the second quarter of 2020, as COVID-19 spread across the globe, the U.S.'s quarterly e-commerce revenue reached 200 billion for the first time in history. In 2021, online retail sales account for ten percent of total retail in the United States. Clothing and accessories, including footwear, is one of the largest B2C e-commerce merchandise categories. Retail e-commerce sales in the United States are estimated from samples used for the Monthly Retail Trade Survey and exclude online travel services, ticket sales agencies, and financial brokers. Latest trend? Quick commerce Shoppers expect fast delivery of their purchases, especially when it comes to grocery products. This segment of the e-commerce industry goes under quick commerce and is expected to generate increasing revenue in the next years. Major quick commerce companies like Instacart or Uber Eat operate in the United States, where the quick commerce market is forecast to hit nearly 40 billion U.S. dollars by 2027.
In the United States, e-commerce retail trade sales were worth nearly 1.2 trillion U.S. dollars in 2024, up from 1.1 billion U.S. dollars in 2023.
In 2024, Walmart U.S. had eCommerce sales amounting to 65.4 billion U.S. dollars, an increase of about 22 percent in comparison to 2023's figure. WalmartWalmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Wal-Mart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In the United States, the company includes Walmart discount stores, supercenters, neighborhood markets, and Sam’s Club warehouse membership clubs. The company also has many international operations, operating through three distinct business segments: Walmart U.S., Walmart International, and Sam’s Club. Walmart’s strongest segment, in terms of revenue, is Walmart U.S., which operates retail stores in all 50 states in the United States, and Puerto Rico and as of 2023 counted 4,717 locations Brand and e-commerce According to a survey conducted by Statista in 2023, 93 percent of consumers were familiar with the Walmart brand and 65 percent appeared to use it for their grocery purchases. The company also operates a successful e-commerce site, which is particularly popular at the start of the holiday season and which in December 2023, reached close to 497 million visits.
Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.
With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.
Why Choose Success.ai’s Ecommerce Market Data?
Verified Contact Data for Precision Outreach
Comprehensive Coverage of South-east Asia’s E-commerce Market
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles in E-commerce
Advanced Filters for Precision Campaigns
Regional and Market-specific Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Digital Outreach
Market Research and Competitive Analysis
Partnership Development and Vendor Collaboration
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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License information was derived automatically
Retail eCommerce sales surpassing a staggering $5.7 trillion globally in last year. This upward trajectory shows no signs of plateauing. As we unpack the latest statistics, from the dominance of platforms like WooCommerce and Shopify to the regional powerhouses of the United States and beyond, a picture emerges of a sector in constant evolution. This article dives into the heart of these statistics, offering a panoramic view of the eCommerce landscape today. We explore the dynamics of platform preference, regional market trends, and category-specific insights, providing a comprehensive snapshot of an industry that continues to reshape global retail.
The revenue in the e-commerce market in the United States was forecast to continuously increase between 2024 and 2029 by in total 657.8 billion U.S. dollars (+53.79 percent). After the tenth consecutive increasing year, the indicator is estimated to reach 1.9 trillion U.S. dollars and therefore a new peak in 2029. Notably, the revenue of the e-commerce market was continuously increasing over the past years.Find other key market indicators concerning the average revenue per user (ARPU) and number of users. The Statista Market Insights cover a broad range of additional markets.
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The majority of software solutions are utilized in the CMS sector, encompassing 295 tools, which represents 13.29% of the total. This dominance indicates the sector's reliance on specialized eCommerce software. In the Analytics category, there are 198 software solutions in use, accounting for 8.92% of the overall software distribution. This highlights the importance of digital tools in this area. The Page builders sector also shows significant software usage with 189 solutions, making up 8.52% of the total. This reflects the sector's adoption of technology for eCommerce activities. This distribution underscores the varying degrees of technology integration across different categories, revealing how each sector leverages eCommerce software to enhance its operations and customer engagement.
During the peak of the coronavirus (COVID-19) crisis (March-April 2020) when many countries worldwide introduced lockdown measures, e-commerce share in total retail sales saw proportions that were not seen before. In the United Kingdom, where an already mature e-commerce market exists, e-commerce share saw as high as 31.3 percent, before stabilizing in the subsequent periods. In the most current period (as of January 31, 2021), United Kingdom, United States and Canada were the leading countries where e-commerce had a higher share as a proportion of total retail, at 24, 17, and 15 percent, respectively.
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We monitor millions of online stores across 200+ countries, ensuring that this report provides accurate and up-to-date information. This report diverse eCommerce ecosystems in various countries/regions, including market penetration, regional preferences, consumer trends, and technological investments. Stay up-to-date with the latest data and gain a comprehensive understanding of the eCommerce market dynamics on a country/region level, enabling informed business decisions and strategic planning.
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E-Commerce Market size was valued at USD 15.93 Trillion in 2024 and is projected to reach USD 88.63 Trillion by 2031, growing at a CAGR of 26.40% from 2024 to 2031.
The e-commerce market is driven by the growing penetration of the internet and smartphones, enabling greater access to online platforms. Shifting consumer preferences towards convenient and contactless shopping experiences have accelerated digital adoption, particularly following the COVID-19 pandemic.
Technological advancements such as secure payment gateways, artificial intelligence, and personalized shopping experiences are enhancing user engagement. The expansion of logistics and last-mile delivery services ensures faster and more reliable product delivery. Additionally, the proliferation of social media and influencer marketing has amplified consumer reach and brand visibility, while increasing cross-border trade and globalization are further fueling market growth.
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The Brazil E Commerce Market Statistics and It is Segmented Into B2C E-Commerce (By Application (Beauty and Personal Care, Consumer Electronics, Fashion and Apparel, Food and Beverage, Furniture and Home, and Other Applications)) and B2B E-Commerce. The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Above Segments.
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License information was derived automatically
E-commerce and retail datasets provide valuable insights into consumer behavior, market trends, and business performance. These datasets help companies optimize pricing, enhance marketing strategies, improve inventory management, and increase sales conversions. By leveraging data-driven decision-making, businesses can stay competitive and meet evolving customer demands. Benefits and Impact: Enhanced predictive accuracy for demand forecasting and price […]
PromptCloud offers cutting-edge data extraction services that empower businesses with real-time, actionable intelligence from the vast expanses of the online marketplace. We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.
Our Amazon Best Seller Products Dataset is a key tool for businesses looking to understand and capitalize on market trends. It allows you to identify top-selling products and sellers, and track their performance across various categories and subcategories. This dataset is invaluable for competitive intelligence, monitoring trending products, and understanding customer sentiment. It also plays a crucial role in monitoring competitor prices and enhancing product inventory, ensuring that your business stays relevant and competitive.
Beyond Amazon, PromptCloud offers access to a diverse range of Ecommerce Product Data from various e-commerce websites. PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of ecommerce clients.
PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of clients, from news aggregators to job boards.
With over a decade of experience in extracting web data from any e-commerce website, PromptCloud stands as a seasoned veteran in the field. This extensive experience translates into high-quality, reliable data extraction, making PromptCloud your ideal product web data extraction partner. The reliability of our data is uncompromised, with a 100% verification process that ensures accuracy and trustworthiness.
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License information was derived automatically
India E-Commerce Transactions: Volume data was reported at 37.000 Unit in 03 Feb 2025. This records a decrease from the previous number of 765.000 Unit for 29 Jan 2025. India E-Commerce Transactions: Volume data is updated daily, averaging 6,418.000 Unit from Dec 2018 (Median) to 03 Feb 2025, with 2135 observations. The data reached an all-time high of 12,527.000 Unit in 14 May 2021 and a record low of 5.000 Unit in 13 Jan 2025. India E-Commerce Transactions: Volume data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s India – Table IN.GI.EC: E-Commerce Transactions: by Category.
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Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTNSA) from Q4 1999 to Q4 2024 about e-commerce, retail trade, percent, sales, retail, and USA.
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Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.