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Fashion E-commerce Trends Dataset

Fashion & Apparel Trends

Tags and Keywords

Clothing

Retail

Data

Nlp

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Fashion E-commerce Trends Dataset Dataset on Opendatabay data marketplace

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Free

About

This dataset contains product listings from two prominent online luxury fashion retailers, Net-a-Porter and Mr Porter. Net-a-Porter specialises in women's luxury fashion items, while Mr Porter focuses on men's designer fashion. The data was extracted directly from their websites and provides a current snapshot of prevailing trends, pricing structures, and product offerings within the luxury fashion e-commerce sector.

Columns

  • brand: The name of the fashion brand or designer associated with the product. Key brands include Loro Piana and Tom Ford.
  • description: A concise description of the product, highlighting its key features and characteristics.
  • price_usd: The retail price of the product, presented in US dollars. Prices range from £14.00 to £170,000.00, with a majority of items priced below £8513.30.
  • type: The category of the product, such as 'clothing', 'shoes', 'bags', or 'accessories'. Approximately 60% of products are 'clothing' and 21% are 'accessories'.

Distribution

The dataset comprises two CSV files. The Mr Porter CSV file contains 20,347 rows and 4 columns. The Net-a-Porter CSV file contains 23,161 rows and 4 columns. Each file represents distinct product listings, offering a substantial collection of luxury fashion items. The brand column features 16,078 unique values.

Usage

This dataset is ideal for various applications, including:
  • Market Trends Analysis: Investigate prevailing trends in luxury fashion, including popular brands, product types, and price ranges.
  • Brand Analysis: Explore the popularity and market presence of different luxury brands.
  • Text Analysis: Utilise product descriptions for Natural Language Processing (NLP) tasks, such as sentiment analysis, feature extraction, or product recommendation systems.

Coverage

The dataset has a global regional coverage. It encompasses product data for both men's (Mr Porter) and women's (Net-a-Porter) luxury fashion segments, providing a broad demographic scope within the high-end retail market. The data provides a snapshot of current offerings, reflecting recent trends.

License

CC0

Who Can Use It

  • Data Analysts and Researchers: For exploring market trends and consumer behaviour in luxury fashion.
  • Machine Learning Engineers: For developing NLP models using product descriptions or predictive models for pricing and demand.
  • E-commerce Businesses: For competitive analysis, product assortment planning, and understanding pricing strategies in the luxury segment.
  • Fashion Industry Professionals: For insights into prevailing styles, brands, and product categories.

Dataset Name Suggestions

  • Luxury Fashion Product Listings
  • Net-a-Porter & Mr Porter E-commerce Data
  • Designer Retail Product Insights
  • Fashion E-commerce Trends Dataset

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

17/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free