What is Stock Keeping Unit (SKU) Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Guide
- FAQ
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?
Examples of SKU data include datasets offering insights into product-level information and inventory management. Key examples include:
- Product Identifiers: Unique SKU codes for tracking individual items.
- Inventory Levels: Data on stock availability across locations.
- Pricing Information: Current prices, discounts, and historical pricing trends.
- Product Attributes: Details such as size, color, weight, and material.
- Sales Performance: Metrics like units sold, returns, and revenue generated by each SKU.
Best Stock Keeping Unit (SKU) Databases, Datasets & API
The best SKU datasets provide detailed product-level data, inventory insights, and sales performance metrics to improve inventory management and business operations. This curated list features the top SKU datasets and APIs, selected for precision, quality, and trusted providers where you can buy SKU data.
Global Product Data | Competitor Pricing Data | Stock Keeping Unit (SKU) Data | 1M+ Grocery and Retail stores with SKU level Prices
Global Product Data | Competitor Pricing Data | Stock Keeping Unit (SKU) Data | 1M+ Restaurant Menu Items with Prices
Product Pricing Data , Price Drop & Price Change Alert - Get all Product Data & commerce Data Easily | Avg. 7 days Refresh Rate | Free Trial
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Top Stock Keeping Unit (SKU) Data Providers & Companies
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Pixta AI
CoverageUSAUK+247VWe collaborated with Pixta on an AI project. Pixta surprised us with great labelling and annotation services. Pixta Team has a high standard for the services and always double checks with us during the project to ensure alignment. Moreover, Pixta has provided licenced images, even human images, so we have no worries about the legal issue. Pixta is our first-choice partner for all AI projects.
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APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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MealMe
CoverageUSAUK+248MealMe delivers real-time product availability data from restaurants, grocery stores, and retail stores. Our proprietary technology empowers businesses with actionable insights for competitive intelligence, pricing analysis, and market research, ensuring reliable, scalable data.GroceryTop 100 CoverageRestaurantTop 1000 CoverageRetailTop 100 Coverage -
Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies -
Altosight
CoverageUSAUK+248✔ Extract Data Anywhere AI scrapers bypass all website blocks. ✔ Clean & Enrich Data We clean and add insights like unit prices. ✔ Flexible Delivery API, FTP, CSV, JSON, Excel. ✔ Affordable Pricing From $29, with pilot projects. ✔ GDPR Compliant Your data meets regulations.Custom-FitTailored Data SolutionsAI ScrapeCAPTCHAs & Dynamic ContentFrom $29Flexible Pricing -
DataWeave
CoverageUSAUK+247DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to compete profitably and accelerate revenue growth.Up to 46%top line growthUp to 3Xbottom line growth
Popular Use Cases for Stock Keeping Unit (SKU) Data
Stock Keeping Unit (SKU) data is essential for optimizing inventory management, pricing strategies, and product analysis. Businesses rely on it for product-level inventory tracking, ensuring accurate stock levels across multiple locations, and pricing optimization, using historical pricing and sales data to set competitive prices. Additionally, SKU data supports sales performance analysis and product data enrichment, just to mention a few.
Stock Keeping Unit (SKU) Data Use Cases in Detail
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 |
Frequently Asked Questions
How is SKU Data Collected?
SKU data is collected from a variety of sources, including e-commerce websites, online marketplaces, and retailer databases. Advanced scraping technologies and APIs are used to extract detailed information such as product identifiers, pricing, availability, and seller details. These processes ensure a comprehensive dataset that captures real-time market activity. Our advice: Choose a provider that offers frequent updates and wide coverage to ensure you’re getting the most accurate and relevant data.
How Accurate and Reliable is SKU Data?
The accuracy of SKU data can reach up to 100% when it’s collected using advanced technologies and validated through rigorous quality checks. Providers often refresh their data as frequently as daily or weekly to maintain reliability. Our advice: Verify the provider’s data accuracy rate and update frequency to align with your business requirements for competitive analysis or inventory management.
How is SKU Data Secured and Compliant?
SKU data is collected and managed in compliance with global data privacy laws, including GDPR. Providers on Datarade anonymize sensitive data and use secure delivery methods such as encrypted APIs and SFTP to protect information. Our advice: Ensure the provider follows industry-standard data security protocols and legal compliance for ethical and secure usage.
How is SKU Data Delivered?
SKU data is delivered in flexible formats such as JSON, CSV, XML, and XLS, which can easily integrate into your existing systems. Delivery methods include APIs, SFTP, and email, with options for real-time, daily, or on-demand updates. Customization options are also available to meet specific business needs. Our advice: Opt for a provider with a delivery format that matches your system for seamless data integration.
How is SKU Data Priced?
Pricing for SKU data depends on factors like the volume of data, coverage, update frequency, and customization. Common pricing models include one-off purchases, monthly subscriptions, and usage-based plans. Many providers offer free samples or trial periods to evaluate data quality before committing. Our advice: Start with a free sample or trial to ensure the dataset meets your needs, and explore discounts for long-term commitments.
