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E-commerce Product Catalogue & Stock Data
E-commerce & Online Transactions
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About
A detailed snapshot of product inventory is provided, ideal for logistics optimisation, e-commerce analysis, and supply chain research. It contains key details like product names, categories, prices, and stock quantities, all sourced from a hypothetical global supplier database. The information is useful for practising data cleaning, creating visualisations, or developing predictive models for challenges like stock depletion.
Columns
- Product ID: A unique identifier for each product.
- Product Name: The name of the product.
- Product Category: The category to which the product belongs.
- Product Description: A detailed description of the product.
- Price: The cost of the product.
- Stock Quantity: The number of units currently available in stock.
- Warranty Period: The duration of the product's warranty.
- Product Dimensions: The physical size of the product (e.g., 6x16x11 cm).
- Manufacturing Date: The date the product was manufactured.
- Expiration Date: The date the product is set to expire.
- SKU: The Stock Keeping Unit for the product.
- Product Tags: Keywords or tags associated with the product.
- Color/Size Variations: Details on different colour and size options available.
- Product Ratings: The customer rating given to the product, on a scale of 1 to 5.
Distribution
The dataset is provided in a single tabular CSV file named
products.csv. The file size is 1.2 MB and contains data across 14 columns. There are 10,000 unique records in the dataset.Usage
This dataset is suitable for a variety of applications, including:
- Optimising shipment logistics based on stock levels and expiration dates.
- Analysing pricing trends across different product categories.
- Building recommendation systems using product tags and customer ratings.
- Practising data cleaning and preparing data for analysis.
- Developing predictive models, such as forecasting stock depletion.
Coverage
The dataset represents a hypothetical global supplier database. The time range covered includes manufacturing dates from January 2023 to July 2023 and expiration dates spanning from January 2024 to January 2026.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: Can perform pricing analysis and market trend research.
- Supply Chain Managers: Can optimise inventory management and logistics planning.
- Data Scientists: Can build predictive models for stock management or recommendation engines.
- Students and Researchers: Can use it for academic projects related to business analytics, data visualisation, or supply chain studies.
Dataset Name Suggestions
- Global Product Inventory 2025
- E-commerce Product Catalogue & Stock Data
- Supply Chain & Logistics Product Dataset
- Retail Inventory & Pricing Snapshot
Attributes
Original Data Source: E-commerce Product Catalogue & Stock Data
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