Fashion & Beauty Supply Chain Performance Data

Columns

• Product Type: Categorisation of products, e.g., skincare (40%), haircare (34%), and other (26%). There are 3 unique product types.
• SKU: Stock Keeping Unit, with 100 unique identifiers, SKU0 being the most common (1%).
• Price: The price of products, ranging from 1.70 to 99.17, with a mean of 49.5 and a standard deviation of 31.
• Availability: The availability of products, ranging from 1 to 100, with a mean of 48.4 and a standard deviation of 30.6.
• Number of products sold: The quantity of products sold, ranging from 8 to 996, with a mean of 461 and a standard deviation of 302.
• Revenue generated: The revenue obtained, ranging from 1,061.62 to 9,866.47, with a mean of 5,780 and a standard deviation of 2,720.
• Customer demographics: Information on customer demographics, including Unknown (31%), Female (25%), and Other (44%). There are 4 unique demographic categories.
• Stock levels: The quantity of stock maintained, ranging from 0 to 100, with a mean of 47.8 and a standard deviation of 31.2.
• Lead times: General lead times, ranging from 1 to 30, with a mean of 16 and a standard deviation of 8.74.
• Order quantities: The quantities in which products are ordered, ranging from 1 to 96, with a mean of 49.2 and a standard deviation of 26.7.
• Shipping times: The duration of shipping, ranging from 1 to 10, with a mean of 5.75 and a standard deviation of 2.71.
• Shipping carriers: The carriers used for shipping, including Carrier B (43%), Carrier C (29%), and other (28%). There are 3 unique carriers.
• Shipping costs: The costs associated with shipping, ranging from 1.01 to 9.93, with a mean of 5.55 and a standard deviation of 2.64.
• Supplier name: The names of suppliers, such as Supplier 1 (27%), Supplier 2 (22%), and other (51%). There are 5 unique suppliers.
• Location: Geographic locations, including Kolkata (25%), Mumbai (22%), and other (53%). There are 5 unique locations.
• Lead time (Supplier): Lead time specific to suppliers, ranging from 1 to 30, with a mean of 17.1 and a standard deviation of 8.8.
• Production volumes: The volume of products produced, ranging from 104 to 985, with a mean of 568 and a standard deviation of 262.
• Manufacturing lead time: Lead times specific to manufacturing, ranging from 1 to 30, with a mean of 14.8 and a standard deviation of 8.87.
• Manufacturing costs: Costs associated with manufacturing, ranging from 1.09 to 99.47, with a mean of 47.3 and a standard deviation of 28.8.
• Inspection results: Outcomes of product inspections, including Pending (41%), Fail (36%), and other (23%). There are 3 unique results.
• Defect rates: The rates of product defects, ranging from 0.02 to 4.94, with a mean of 2.28 and a standard deviation of 1.45.
• Transportation modes: Methods of transportation, such as Road (29%), Rail (28%), and other (43%). There are 4 unique modes.
• Routes: Specific transportation routes, including Route A (43%), Route B (37%), and other (20%). There are 3 unique routes.
• Costs (Total): Total overall costs, ranging from 103.92 to 997.41, with a mean of 529 and a standard deviation of 257.

Distribution

Usage

• Optimising supply chain processes in the beauty and fashion industry.
• Performing data-driven decision-making in manufacturing, retail, healthcare, and logistics.
• Analysing product performance and sales trends.
• Understanding customer demographics in relation to product sales.
• Managing and optimising stock levels and order quantities.
• Evaluating and improving shipping logistics, including carriers, times, and costs.
• Assessing supplier performance and relationships.
• Analysing manufacturing efficiency and associated costs.
• Monitoring product quality through inspection results and defect rates.

Coverage

License

Who Can Use It

• Supply Chain Management Professionals seeking to analyse and improve supply chain operations.
• Data Analysts and Data Scientists interested in real-world supply chain datasets for analytical projects, feature engineering, or model building.
• Businesses in manufacturing, retail, healthcare, and logistics aiming to leverage data for operational efficiencies.
• Researchers and students studying fashion and beauty industry trends or supply chain dynamics.

Dataset Name Suggestions

• Beauty Product Supply Chain Analytics Dataset
• Fashion & Beauty Supply Chain Performance Data
• Makeup Industry Logistics and Operations Dataset
• Cosmetics Supply Chain Data Insights
• Product Movement Data - Beauty Sector

Attributes