What is Stock Keeping Unit (SKU) Data? Definition, Uses & SKU Databases
What is Stock Keeping Unit (SKU) Data?
SKU data refers to a unique alphanumeric code assigned to each product in a company’s inventory. It helps businesses track and manage their stock and sales. SKU data includes information such as product attributes, pricing, and location. This information is crucial for inventory management, order fulfillment, and analyzing sales performance.
Best Stock Keeping Unit (SKU) Data Databases & Datasets
Here is Datarade's curated selection of top Stock Keeping Unit (SKU) Data. These trusted databases and datasets offer high-quality, up-to-date information.
InfoTrie eCommerce Data - 100M+ Product, SKU & Store Data, 5M+ Ecommerce Portals Globally
Pixta AI | Imagery Data | Global | 10,000 Stock Images | Annotation and Labelling Services Provided | Supermarket Display Shelves Dataset for AI & ML
Product Pricing Data , Price Drop & Price Change Alert - Get all Product Data & commerce Data Easily | Avg. 7 days Refresh Rate | Free Trial
DataWeave: Competitive Pricing Intelligence
Dexi | Automated Web Data Capture | Competitor Monitoring
DataWeave: Competitive assortment intelligence
MedMine - Bespoke Research Projects - Medical Device & Hospital Supply Data for US & Canada
Popular Use Cases
Stock Keeping Unit (SKU) Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Stock Keeping Unit (SKU) Data Explained
Stock Keeping Unit (SKU) data refers to a database that contains unique identifiers assigned to individual products in a retail or e-commerce setting. Examples of SKU data include product codes, descriptions, prices, and inventory levels. In this page, you’ll find the best data sources for SKU data, including grocery store SKU databases and comprehensive product SKU datasets.
Use Cases
1. Inventory Management
Inventory management is one of the primary use cases of Stock Keeping Unit (SKU) data. SKUs are unique identifiers assigned to each product in a company’s inventory. By utilizing SKU data, businesses can effectively track and manage their inventory levels. This includes monitoring stock levels, determining reorder points, and optimizing stock replenishment processes. SKU data enables businesses to have real-time visibility into their inventory, ensuring that they have the right products available at the right time to meet customer demand.
2. Sales Analysis and Reporting
Another important use case of SKU data is sales analysis and reporting. SKUs provide a granular level of detail about individual products, allowing businesses to analyze sales performance at a product-specific level. By analyzing SKU data, businesses can identify top-selling products, track sales trends, and evaluate the success of marketing campaigns or promotions. This information helps businesses make data-driven decisions to optimize their product offerings, pricing strategies, and marketing efforts.
3. Supply Chain Optimization
SKU data plays a crucial role in supply chain optimization. By leveraging SKU data, businesses can streamline their supply chain processes and improve overall efficiency. SKU data enables businesses to accurately forecast demand, plan production schedules, and optimize inventory distribution across different locations. This helps in reducing stockouts, minimizing excess inventory, and improving order fulfillment rates. By optimizing the supply chain using SKU data, businesses can enhance customer satisfaction, reduce costs, and increase profitability.
Main Attributes of Stock Keeping Unit (SKU) Data
The possible attributes of Stock Keeping Unit (SKU) data, also known as product SKU database or SKU database, can vary depending on the specific needs of a business. However, some common attributes found in SKU datasets include SKU code, product name, description, brand, category, price, quantity on hand, supplier information, weight, dimensions, barcode, and any additional product specifications. These attributes provide crucial information for inventory management, sales tracking, and product identification. Here’s a table of the main attributes you might find on Stock Keeping Unit (SKU) datasets:
| Attribute | Description |
|---|---|
| SKU Code | A unique identifier assigned to each product in inventory |
| Product Name | The name or description of the product |
| Product Category | The category or type of the product |
| Product Brand | The brand or manufacturer of the product |
| Product Price | The price at which the product is sold |
| Product Quantity | The quantity of the product available in inventory |
| Product Weight | The weight of the product |
| Product Dimensions | The dimensions (length, width, height) of the product |
| Product Image | An image or link to an image representing the product |
| Product Variants | Any variations or options available for the product (e.g., size, color) |
| Product Attributes | Additional attributes or specifications of the product |
| Product Status | The current status of the product (e.g., active, discontinued) |
| Last Updated | The date and time when the SKU data was last updated |
How are Stock Keeping Unit (SKU) Data products priced?
Stock Keeping Unit (SKU) datasets are typically priced based on various factors. One of the primary factors is the size and complexity of the dataset. Larger datasets with a higher number of SKUs and more detailed information tend to be priced higher due to the increased effort required for data collection, processing, and maintenance. Additionally, the frequency of updates and the level of accuracy and completeness of the dataset also impact the pricing. Datasets that are updated more frequently and provide more accurate and comprehensive information are generally priced higher. Furthermore, the reputation and credibility of the data provider can also influence the pricing. Established and trusted providers may charge a premium for their SKU datasets due to their track record of delivering reliable and valuable data. Overall, the pricing of SKU datasets is determined by a combination of factors that reflect the quality, quantity, and reliability of the data provided.
Frequently Asked Questions
Where can I buy Stock Keeping Unit (SKU) Data?
Data providers and vendors listed on Datarade sell Stock Keeping Unit (SKU) Data products and samples. Popular Stock Keeping Unit (SKU) Data products and datasets available on our platform are InfoTrie eCommerce Data - 100M+ Product, SKU & Store Data, 5M+ Ecommerce Portals Globally by InfoTrie, Pixta AI | Imagery Data | Global | 10,000 Stock Images | Annotation and Labelling Services Provided | Supermarket Display Shelves Dataset for AI & ML by Pixta AI, and Product Pricing Data , Price Drop & Price Change Alert - Get all Product Data & commerce Data Easily | Avg. 7 days Refresh Rate | Free Trial by APISCRAPY.
How can I get Stock Keeping Unit (SKU) Data?
You can get Stock Keeping Unit (SKU) Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Stock Keeping Unit (SKU) Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Stock Keeping Unit (SKU) Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Stock Keeping Unit (SKU) Data?
Stock Keeping Unit (SKU) Data is similar to Product Pricing Data and Special Offer & Promotion Data. These data categories are commonly used for Product Data Enrichment.
What are the most common use cases for Stock Keeping Unit (SKU) Data?
The top use cases for Stock Keeping Unit (SKU) Data are Product Data Enrichment.