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Chloe web scraped data

About the website

Chloé is a renowned luxury fashion house established by Gaby Aghion and Jacques Lenoir in Paris, France, 1952. The company was founded with the vision to revolutionize the rigid fashion world with ready-to-wear chic and alluring clothes, which earned it the nickname, "prêt-à-porter". Chloé is a subsidiary of Richemont, which is listed on the Swiss Stock Exchange (SIX: CFR) with a market cap of $58.21 Billion as of the last IPO date. For more information about Chloés history and contribution to the fashion world, visit its Wikipedia page or the detailed company profile on Bloomberg.

As a brand in the competitive luxury fashion industry, Chloé has numerous rivals. Some of the primary competitors include Celine, which is another acclaimed French luxury brand known for its minimalist, sophisticated, and timeless designs. To know more about Celine, visit their website, Wikipedia page, or Bloomberg profile. Another competitor is Stella McCartney, a British brand praised for its eco-friendly sustainable fashion. You can check out Stella McCartneys website or learn more about the brand from its Wikipedia page.

The use of web scraped data from the Chloe website comes with several practical applications, primarily for pricing analytics and discount strategy formulation. By analyzing product prices over time and comparing them with competitors, firms can get valuable insights about current market trends, customers price sensitivity, and optimal pricing strategies for maximizing profits. Additionally, information about discounts can help businesses in understanding Chloés promotional tactics and consequently devise their effective sales campaigns. Furthermore, using web scraped data, fashion retailers can track the popularity of various styles and designs and adjust their inventory accordingly. Also, brands can monitor user feedback and reviews to improve their products and services and enhance customer satisfaction.

Link to dataset

Chloe dataset