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.

What Are Examples of Stock Keeping Unit (SKU) Data?

Here are examples of Stock Keeping Unit (SKU) data:

Product attributes: Detailed characteristics of the product, such as size, color, material, and model.

SKU codes: Unique alphanumeric codes used to identify and track individual products in inventory.

Inventory levels: Quantity of stock available for each SKU, including in-stock, out-of-stock, and reserved inventory.

Product variations: Data on different versions of the product, such as different sizes, colors, or packaging options.

Shipping details: Information on the packaging size, weight, and shipping requirements for each SKU.

Barcodes and UPCs: Standardized codes used for scanning and tracking SKUs across retail systems.

Cost data: The cost of the product from the supplier or manufacturer for each SKU.

and more.

Best Stock Keeping Unit (SKU) Datasets & APIs

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.

What is Stock Keeping Unit (SKU) Data? Examples, Datasets and Providers