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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 LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.
This is the largest retail e-commerce orders dataset from Pakistan. It contains half a million transaction records from March 2016 to August 2018.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.
hanaearg/Ecommerce dataset hosted on Hugging Face and contributed by the HF Datasets community
Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.
With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.
Why Choose Success.ai’s Ecommerce Store Data?
Verified Profiles for Precision Engagement
Comprehensive Coverage of the APAC E-commerce Sector
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive E-commerce Business Profiles
Advanced Filters for Precision Campaigns
Regional and Sector-specific Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Outreach
Partnership Development and Vendor Collaboration
Market Research and Competitive Analysis
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
The revenue in the e-commerce market in the United States was modeled to amount to 1.18 trillion U.S. dollars in 2024. Following a continuous upward trend, the revenue has risen by 754.29 billion U.S. dollars since 2017. Between 2024 and 2029, the revenue will rise by 655.91 billion U.S. dollars, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on eCommerce.
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License information was derived automatically
United States - E-Commerce Retail Sales was 304209.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - E-Commerce Retail Sales reached a record high of 304209.00000 in April of 2025 and a record low of 4467.00000 in October of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - E-Commerce Retail Sales - last updated from the United States Federal Reserve on September of 2025.
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Discover the latest eCommerce statistics in Mexico for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Mexico, uncovering the distribution of stores across categories and platforms.
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Ecommerce FAQ Chatbot Dataset Overview The Ecommerce FAQ Chatbot Dataset is a valuable collection of questions and corresponding answers, meticulously curated for training and evaluating chatbot models in the context of an Ecommerce environment. This dataset is designed to assist developers, researchers, and data scientists in building effective chatbots that can handle customer inquiries related to an Ecommerce platform. Contents The dataset comprises a total of 79 question-answer pairs… See the full description on the dataset page: https://huggingface.co/datasets/Andyrasika/Ecommerce_FAQ.
Unlock the door to business expansion by investing in our real-time eCommerce leads list. Gain direct access to store owners and make informed decisions with data fields including Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.
Ensure a lifetime of access for continuous growth and tailor your campaigns with accurate and reliable information, initiating targeted efforts that align with your marketing goals. Whether you're targeting specific industries or global locations, our database provides up-to-date and valuable insights to support your business journey.
• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data
In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also 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 ** percent.
Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.
With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.
• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"
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According to Cognitive Market Research, the global ECommerce Platform Market size is USD 9.3 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031. Market Dynamics of ECommerce Platform Market
Key Drivers of Ecommerce Platform Market
Rapid Digitalization and Smartphone Penetration: Increasing global internet access and the widespread use of smartphones are driving the growth of eCommerce. Consumers now enjoy the convenience of shopping through applications and mobile-optimized websites, compelling platform providers to improve mobile user experience, personalization, and speed.
Rise of Omnichannel Retailing: Retailers are seeking platforms that facilitate the integration of online, offline, mobile, and social commerce. eCommerce platforms that deliver a cohesive customer experience across various touchpoints are experiencing significant adoption, particularly among enterprises that prioritize customer retention and brand consistency.
Integration with AI and Analytics: Features powered by AI, such as recommendation engines, chatbots, dynamic pricing, and predictive inventory, enhance conversion rates and streamline operations. eCommerce platforms that incorporate advanced analytics attract businesses looking to foster smarter decision-making and personalized user engagement.
Key Restrains for Ecommerce Platform Market
Security Concerns and Data Breaches: eCommerce platforms are vulnerable to cyberattacks, phishing attempts, and payment fraud. Protecting sensitive customer information and transactions necessitates ongoing investment in compliance and cybersecurity, which can pose challenges for smaller enterprises.
High Competition and Market Saturation: The proliferation of eCommerce platforms results in intense pricing competition and customer turnover. Achieving differentiation is challenging, particularly for startups that are vying with established competitors such as Shopify, BigCommerce, and Adobe Commerce.
Complex Integration and Scalability Challenges: Businesses frequently encounter difficulties when attempting to integrate eCommerce platforms with ERP, CRM, and logistics systems. Rigid architecture or insufficient API compatibility can hinder scalability, prolonging time to market and escalating the total cost of ownership.
Key Trends in Ecommerce Platform Market
Social Commerce Integration: Ecommerce platforms are incorporating functionalities that enable direct sales through Instagram, Facebook, and TikTok. Shoppable posts, live video commerce, and collaborations with influencers are transforming product discovery and expediting the customer journey.
Headless and Composable Commerce Adoption: Businesses are increasingly opting for modular ecommerce configurations that utilize headless CMS and composable architecture. This movement facilitates quicker deployment, enhanced customization, and smooth integration across various channels while maintaining backend stability.
Sustainability-Driven Commerce Features: Consumers are placing a higher value on eco-friendly brands. Ecommerce platforms are now providing features such as carbon calculators, options for recycled packaging, and filters for sustainable products to meet buyer expectations and support brand ESG initiatives. Introduction of the ECommerce Platform Market
The Ecommerce Platform serves as a digital framework facilitating online transactions, encompassing both goods and services. Its market continues to surge, driven by factors such as rising internet penetration, mobile device adoption, and evolving consumer preferences towards convenient shopping experiences. With an array of offerings including payment solutions, management platforms, and end-to-end services, the sector caters to diverse e-commerce models like B2B and B2C. Amidst rapid digitization across industries such as Beauty & Personal Care, Fashion, and Consumer Electronics, the Ecommerce Platform's dynamic evolution underscores its pivotal role in shaping modern commerce.
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Business to Business E-Commerce Market reached USD 7,840.0 billion in 2022, and forecast to touch USD 30,074.2 billion in 2030, growing at a CAGR of 18.3% till 2030
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The E-Commerce Market Report is Segmented by Business Model (B2C, B2B), Device Type (Smartphone / Mobile, Desktop and Laptop, Other Device Types), Payment Method (Credit / Debit Cards, Digital Wallets, BNPL, Other Payment Method), B2C Product Category (Beauty and Personal Care, Consumer Electronics, Fashion and Apparel, Food and Beverages, and More) and Geography. The Market Forecasts are Provided in Terms of Value (USD).
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The global sales of ecommerce software and platform is projected to be worth USD 4,679.8 million in 2024 and expected to reach a value of USD 17,074.1 million by 2034. Sales are estimated to rise at a CAGR of 13.8% over the forecast period between 2024 and 2034. The income created by ecommerce software and platform in 2023 was USD 4,112.3 million. The industry is projected to register a Y-o-Y growth of 13.6% in 2024.
Attributes | Key Insights |
---|---|
Historical Size, 2023 | USD 4,112.3 million |
Estimated Size, 2024 | USD 4,679.8 million |
Projected Size, 2034 | USD 17,074.1 million |
Value-based CAGR (2024 to 2034) | 13.7% |
Semi Annual Market Update
Particular | Value CAGR |
---|---|
H1, 2023 | 13.5% (2023 to 2033) |
H2, 2023 | 14.0% (2023 to 2033) |
H1, 2024 | 13.4% (2024 to 2034) |
H2, 2024 | 14.3% (2024 to 2034) |
Country-wise Insights
Countries | Value CAGR (2024 to 2034) |
---|---|
USA | 12.5% |
Germany | 11.8% |
China | 14.2% |
India | 14.9% |
UK | 13.5% |
Category-wise Insights
Component | Solution |
---|---|
Value Share (2024) | 65.3% |
Industry | Electronics |
---|---|
Value Share (2024) | 27.5% |
In the United States, e-commerce retail trade sales were worth nearly *** trillion U.S. dollars in 2024, up from *** billion U.S. dollars in 2023.
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U.S. Fashion Ecommerce Market valued at US$ 144.97 Bn in 2025, is anticipated to reaching US$ 336.86 Bn by 2032, with a steady annual growth rate of 12.8%.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Cnn Fashion Detion In Ecommerce is a dataset for object detection tasks - it contains Shirts Pants Hoodies annotations for 1,801 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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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 LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.