Fashion & Beauty Dataset

Fashion & Beauty Dataset

Datasets

Fashion & Beauty Dataset

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Fashion & Beauty Dataset

Use Case

Fashion & Beauty Dataset

Description

Explore our detailed Fashion & Beauty Supply Chain Dataset for makeup products. Analyze key factors like product types, sales, logistics, customer demographics.

Fashion & Beauty Dataset

Description:

This dataset captures key elements of the supply chain for a startup in the Fashion & Beauty industry, specifically focusing on makeup products. It allows businesses to analyze various factors influencing product movement, costs, and customer behaviors.

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Product Details

  • Product Type: Categorizes makeup products (e.g., lipstick, foundation).
  • SKU (Stock Keeping Unit): Unique identifiers for inventory.
  • Price & Availability: Detailed product pricing and availability status.

Sales & Financial Metrics

  • Units Sold: Total number of products sold per SKU.
  • Revenue Generated: Financial data from sales, broken down by product type.
  • Stock Levels: Inventory levels, identifying shortages and surpluses.
  • Revenue Trends: Seasonal and product-specific sales patterns.
  • Promotional Impact: Influence of discounts or marketing campaigns on sales.

Customer Insights

  • Demographics: Gender, age, location, and buying habits.
  • Preferences: Data on favorite product types, colors, and brands.
  • Customer Lifetime Value: Estimation of future sales potential.

Supply Chain Logistics

  • Lead Time: Average time for delivery of products from suppliers.
  • Order Quantities: Regular order amounts to maintain inventory flow.
  • Shipping Times & Costs: Data on carrier efficiency, costs, and delays.
  • Transportation Modes & Routes: Various modes (air, ground) and associated costs for domestic and international shipping.
  • Return & Exchange Data: Number of returned/exchanged products due to defects or customer dissatisfaction.

Supplier & Manufacturing Data

  • Supplier Name & Location: Information about suppliers and their geographical distribution.
  • Production Volumes & Manufacturing Lead Time: Details on the production capacity and time taken to manufacture each batch.
  • Manufacturing Costs: Total costs incurred in the production process.
  • Defect Rates & Inspection Results: Quality control data including rejected batches and defect percentages.

Shipping & Distribution

  • Shipping Carriers: Preferred shipping partners and their efficiency.
  • Costs of Distribution: Breakdown of costs involved in shipping and handling.
  • Delivery Lead Times: Time taken from order dispatch to delivery.
  • Transportation Modes: Utilized modes like road, sea, or air transport.
  • Routes & Supply Chain Efficiency: Popular shipping routes and their efficiency ratings.

Risk & Operational Efficiency

  • Stockout Data: Instances where products are out of stock and the resulting delays.
  • Order Delays & Shortages: Trends related to delays in receiving shipments or product shortages.

This dataset is sourced from Kaggle.

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