five

Fashion Listings

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Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/dc791a1f-e08a-4448-b166-86e7a10e7d62/Bright-Data_Fashion-Listings
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资源简介:
Note: Our samples provides 1000 Rows , for more information please contact the provider. Discover the world of fashion with our expansive Fashion Listings dataset, offering marketers, retailers, and businesses access to hundreds of millions of records from major fashion websites, including Zara, Fendi, Asos, Zalando, Dior, and more. Enhance customer experiences, refine product recommendations, and gain a competitive edge with comprehensive fashion data. Key Features: 1.Multi-Source Data: Access accurate data from leading fashion websites, covering all major data points and allowing for a comprehensive view of the fashion landscape. 2.Market Analysis: Make informed predictions by analyzing colors, fabrics, styles, and silhouettes from fashion datasets. Leverage insights for product design, development, market positioning, and brand strategy. 3.Customer Experience Improvement: Utilize fashion datasets to generate customer insights and segmentation based on preferences, behaviors, and purchase history. 4.Trend Estimation: Estimate the size, growth rate, and regional trends of the fashion market using datasets. Sample Dataset Insights: -Product Details: Colors, fabrics, styles, silhouettes, and other relevant attributes. -Market Trends: Size, growth rate, and regional insights for the fashion market. -Competitor Benchmarking: Assess performance against competitors for strategic market entry.
提供机构:
Bright Data
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供来自Zara、Fendi等主要时尚网站的数百亿条记录,涵盖产品细节、市场趋势和竞争对手分析等关键信息,支持全球范围内的市场分析、客户体验优化和趋势预测。
以上内容由遇见数据集搜集并总结生成
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