100+ datasets found
  1. h

    Bitext-retail-ecommerce-llm-chatbot-training-dataset

    • huggingface.co
    Updated Aug 6, 2024
    + more versions
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    Bitext (2024). Bitext-retail-ecommerce-llm-chatbot-training-dataset [Dataset]. https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Bitext
    License

    https://choosealicense.com/licenses/cdla-sharing-1.0/https://choosealicense.com/licenses/cdla-sharing-1.0/

    Description

    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.

  2. o

    Pakistan Largest Ecommerce Dataset - Datasets - Open Data Pakistan

    • opendata.com.pk
    Updated Apr 2, 2021
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    (2021). Pakistan Largest Ecommerce Dataset - Datasets - Open Data Pakistan [Dataset]. https://opendata.com.pk/dataset/pakistan-largest-ecommerce-dataset
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    Dataset updated
    Apr 2, 2021
    Area covered
    Pakistan
    Description

    This is the largest retail e-commerce orders dataset from Pakistan. It contains half a million transaction records from March 2016 to August 2018.

  3. Data from: E-commerce and ICT activity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 5, 2021
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    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
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    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  4. h

    Ecommerce

    • huggingface.co
    Updated Jun 17, 2024
    + more versions
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    arg (2024). Ecommerce [Dataset]. https://huggingface.co/datasets/hanaearg/Ecommerce
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2024
    Authors
    arg
    Description

    hanaearg/Ecommerce dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-store-data-apac-e-commerce-sector-verified-busi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Fiji, Andorra, Malta, Lao People's Democratic Republic, Austria, Northern Mariana Islands, Korea (Democratic People's Republic of), Italy, Mexico, Canada
    Description

    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?

    1. Verified Profiles for Precision Engagement

      • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
      • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.
    2. Comprehensive Coverage of the APAC E-commerce Sector

      • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
      • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.
    3. Continuously Updated Datasets

      • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
      • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
    • Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
    • Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
    • Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

    Key Features of the Dataset:

    1. Comprehensive E-commerce Business Profiles

      • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
      • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.
    2. Advanced Filters for Precision Campaigns

      • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
      • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.
    3. Regional and Sector-specific Insights

      • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
      • Refine your marketing strategies and outreach efforts to align with market priorities.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Outreach

      • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
      • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.
    2. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
      • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.
    3. Market Research and Competitive Analysis

      • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
      • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...
  6. Revenue of the e-commerce industry in the United States 2017-2029

    • statista.com
    • barnesnoapp.net
    Updated Aug 15, 2025
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    Statista (2025). Revenue of the e-commerce industry in the United States 2017-2029 [Dataset]. https://www.statista.com/statistics/272391/us-retail-e-commerce-sales-forecast/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  7. T

    United States - E-Commerce Retail Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). United States - E-Commerce Retail Sales [Dataset]. https://tradingeconomics.com/united-states/e-commerce-retail-sales-mil-of-$-q-sa-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    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.

  8. eCommerce Statistics in Mexico 2025

    • aftership.com
    pdf
    Updated Feb 2, 2024
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    AfterShip (2024). eCommerce Statistics in Mexico 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/mx
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Mexico
    Description

    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.

  9. h

    Ecommerce_FAQ

    • huggingface.co
    Updated Aug 18, 2023
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    Ankush Singal (2023). Ecommerce_FAQ [Dataset]. https://huggingface.co/datasets/Andyrasika/Ecommerce_FAQ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 18, 2023
    Authors
    Ankush Singal
    License

    https://choosealicense.com/licenses/creativeml-openrail-m/https://choosealicense.com/licenses/creativeml-openrail-m/

    Description

    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.

  10. d

    Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners | 40+ Data Points | Lifetime Access | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    DataCaptive™
    Area covered
    Georgia, Finland, Jordan, Sweden, Canada, Bahrain, Singapore, United Kingdom, Spain, France
    Description

    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

  11. o

    Madaba ECommerce - Dataset - Open Government Data

    • opendata.gov.jo
    Updated May 4, 2024
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    (2024). Madaba ECommerce - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/madaba-ecommerce-3076-2024
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    Dataset updated
    May 4, 2024
    Area covered
    Madaba
    Description

    Madaba ECommerce

  12. Global retail e-commerce sales 2022-2028

    • statista.com
    • abripper.com
    • +1more
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    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.

  13. d

    Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Premium eCommerce Leads | Target Shopify, Amazon, eBay Stores | Verified Owner Contacts | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    DataCaptive™
    Area covered
    Switzerland, Norway, Germany, United Arab Emirates, Romania, Spain, Mexico, Bahrain, Netherlands, Belgium
    Description

    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"

  14. The global ECommerce Platform Market size is USD 9.3 billion in 2024 and...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Aug 26, 2025
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    Cognitive Market Research (2025). 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. [Dataset]. https://www.cognitivemarketresearch.com/ecommerce-platform-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    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.

  15. Business To Business E-Commerce Market Size & Analysis 2030

    • gmiresearch.com
    pdf
    Updated Jan 16, 2021
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    GMI Research (2021). Business To Business E-Commerce Market Size & Analysis 2030 [Dataset]. https://www.gmiresearch.com/report/business-to-business-b2b-ecommerce-market-analysis-industry-research/
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Authors
    GMI Research
    License

    https://www.gmiresearch.com/terms-and-conditions/https://www.gmiresearch.com/terms-and-conditions/

    Description

    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

  16. E-commerce Market - Research, Growth Trends, Size & Analysis 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 20, 2025
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    Mordor Intelligence (2025). E-commerce Market - Research, Growth Trends, Size & Analysis 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/global-ecommerce-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    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).

  17. T

    Ecommerce Software & Platform Market – Trends & Forecast 2034

    • futuremarketinsights.com
    html, pdf
    Updated Aug 28, 2024
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    Future Market Insights (2024). Ecommerce Software & Platform Market – Trends & Forecast 2034 [Dataset]. https://www.futuremarketinsights.com/reports/ecommerce-software-and-platform-market
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    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.

    AttributesKey Insights
    Historical Size, 2023USD 4,112.3 million
    Estimated Size, 2024USD 4,679.8 million
    Projected Size, 2034USD 17,074.1 million
    Value-based CAGR (2024 to 2034)13.7%

    Semi Annual Market Update

    ParticularValue CAGR
    H1, 202313.5% (2023 to 2033)
    H2, 202314.0% (2023 to 2033)
    H1, 202413.4% (2024 to 2034)
    H2, 202414.3% (2024 to 2034)

    Country-wise Insights

    CountriesValue CAGR (2024 to 2034)
    USA12.5%
    Germany11.8%
    China14.2%
    India14.9%
    UK13.5%

    Category-wise Insights

    ComponentSolution
    Value Share (2024)65.3%
    IndustryElectronics
    Value Share (2024)27.5%
  18. Total and e-commerce U.S. retail trade sales 2000-2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Total and e-commerce U.S. retail trade sales 2000-2024 [Dataset]. https://www.statista.com/statistics/185283/total-and-e-commerce-us-retail-trade-sales-since-2000/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  19. c

    U.S. Fashion Ecommerce Market Size & Forecast, 2025-2032

    • coherentmarketinsights.com
    Updated May 8, 2025
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    Coherent Market Insights (2025). U.S. Fashion Ecommerce Market Size & Forecast, 2025-2032 [Dataset]. https://www.coherentmarketinsights.com/industry-reports/us-fashion-ecommerce-market
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Coherent Market Insights
    License

    https://www.coherentmarketinsights.com/privacy-policyhttps://www.coherentmarketinsights.com/privacy-policy

    Time period covered
    2025 - 2031
    Area covered
    Global
    Description

    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%.

  20. R

    Cnn Fashion Detion In Ecommerce Dataset

    • universe.roboflow.com
    zip
    Updated Dec 2, 2024
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    cnn with fashion detection (2024). Cnn Fashion Detion In Ecommerce Dataset [Dataset]. https://universe.roboflow.com/cnn-with-fashion-detection/cnn-fashion-detion-in-ecommerce/model/1
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    zipAvailable download formats
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    cnn with fashion detection
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Shirts Pants Hoodies Bounding Boxes
    Description

    Cnn Fashion Detion In Ecommerce

    ## 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 (2024). Bitext-retail-ecommerce-llm-chatbot-training-dataset [Dataset]. https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset

Bitext-retail-ecommerce-llm-chatbot-training-dataset

bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset

Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 6, 2024
Dataset authored and provided by
Bitext
License

https://choosealicense.com/licenses/cdla-sharing-1.0/https://choosealicense.com/licenses/cdla-sharing-1.0/

Description

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.

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