Product Catalogs

This document provides a comprehensive overview of the Search, Filter, and View Controls available in the Amazon Catalog. Users will learn how to efficiently locate and manage large product datasets through various controls. Key sections include: • Search Logic: Techniques for quickly finding products by name, ASIN, SKU, and Parent ASIN. • Filter Panel: Methods to refine datasets using attributes like product status, price, cost, and tags. • View Modes: Options for visual browsing (Cards View) versus detailed analysis (Table View). • Column Management System: Customization of displayed data in Table View, allowing users to select, reorder, and save column layouts. The document emphasizes how these controls enhance productivity by making large catalogs easier to navigate and manage, ensuring users can quickly adapt the interface to their workflows.

This help content provides a comprehensive guide on how to navigate and utilize the Catalog page effectively. Users will learn how to: 1. Access the Catalog Page: Navigate through the left menu to view product data from Amazon, Shopify, and EVA's unified product layer. 2. Review Match Suggestions: Understand how to interpret and act on matching recommendations between Amazon and Shopify products. 3. Utilize Catalog Tabs: Switch between different views such as Unified, Amazon, and Shopify Catalogs to analyze data effectively. 4. Search for Products: Use the search function to quickly locate specific products by name, ASIN, SKU, or variant ID. 5. Apply Filters: Refine product listings based on various criteria to streamline analysis. 6. Change View Modes: Toggle between Cards View for quick scanning and Table View for detailed analysis. 7. Customize Columns: Personalize the Table View layout for improved workflow management. 8. Use Bulk Actions: Manage multiple products simultaneously for efficient updates and data management. 9. Switch Between Catalog Layers: Learn to navigate different catalog views according to the task at hand. Additionally, the guide emphasizes the importance of reviewing Match Suggestions upon entering the Catalog page to enhance reporting accuracy and improve pricing and advertising performance.

This guide details the process of matching Amazon and Shopify products within the EVA platform. Users will learn how to create a unified product from separate listings, ensuring accurate analysis and operations across different channels. Key steps include: 1. Opening the Unified Catalog: Navigate to the Catalog and select the Unified Catalog tab. 2. Reviewing Smart Matching Suggestions: Automatically generated suggestions based on title, price, and SKU similarities. 3. Locating Unmatched Products: Understand the organization of products in the matching interface. 4. Manual Matching: Instructions on how to connect products that are not suggested automatically. 5. Confirming Matches: Review and confirm product details before finalizing the connection. 6. Reviewing Matched Products: Viewing the unified product and its linked items. 7. Managing Matches: Correcting or removing connections as needed. 8. Using Bulk Matching Actions: Speeding up the matching process with bulk actions. By following these steps, users can efficiently match products and manage their catalog effectively.

This guide provides detailed steps on how to manage matched (unified) products in the Unified Catalog, which connects Amazon products with Shopify variants. Users will learn to: 1. Open the Unified Catalog to view matched products. 2. Locate matched products within the interface. 3. Expand a unified product to see linked Amazon ASINs, Shopify variants, and product details. 4. Review match details to verify accuracy, including product identifiers and price information. 5. Remove incorrect matches to revert products to an unmatched state for re-matching. 6. Continue matching additional products and managing your workflow within the Unified Catalog. 7. Use search and filters to efficiently locate specific products when dealing with large catalogs. 8. Maintain the Unified Catalog by periodically reviewing and updating matches. The guide emphasizes the importance of verifying matches to ensure consistency across channels and prevent issues in analytics and pricing workflows.

This guide provides a comprehensive overview of how to filter and manage your Amazon catalog within EVA. You will learn the following steps: 1. Open the Amazon Catalog: Navigate to the Catalog and select the Amazon Catalog tab to view all products. 2. Search for Specific Products: Use the search bar to locate items quickly by product name, ASIN, SKU, or Parent ASIN. 3. Apply Filters: Refine your product list with filters such as product status, price, and tags to focus on specific groups. 4. Switch Between View Modes: Choose between Cards View for visual browsing and Table View for detailed analysis. 5. Customize Columns: In Table View, adjust which data fields are visible to create a layout that suits your workflow. 6. Review Product Data: Understand key product information like ASIN, SKU, price, and status for better management. 7. Select Products for Actions: Prepare items for updates, organization, or matching by selecting one or multiple products. 8. Use the Update Product Cost Action: Manage cost data for selected products to improve profitability analysis. 9. Manage Large Catalogs Efficiently: Utilize search, filters, and column customization to handle large datasets effectively. Additionally, a pro tip suggests using filters to quickly identify products needing action, saving time in catalog management.

This help content provides a comprehensive guide on analyzing product variants in Shopify. Users will learn how to navigate the Shopify Catalog, understand the variant-level structure, and utilize various tools such as search and filters to analyze their products effectively. The steps cover switching between different view modes, customizing visible columns, and analyzing detailed variant data, including SKU, price, and inventory. Additionally, users will learn how to identify products for matching or updates, enabling them to efficiently transition from analysis to actionable insights. The document emphasizes the importance of focusing on SKU and variant-level differences for effective product analysis.

This guide titled "How To Manage and Update Product Costs?" outlines the steps to effectively assign, update, and manage product cost values to ensure accurate profitability analysis. You will learn how to: 1. Access the Cost Management Module: Understand how to navigate to the cost management area. 2. Select Products for Update: Learn to filter and choose specific products for cost updates. 3. Choose Update Methods: Explore different methods for updating costs, including manual entry and bulk uploads. 4. Enter or Update Cost Values: Gain insight into defining accurate cost values that impact profit calculations. 5. Manage Cost Coverage: Use filters to identify products that require cost data. 6. Apply Bulk Updates: Discover how to efficiently update costs for multiple products at once. 7. Save Changes: Understand the importance of saving changes in the system. 8. Verify Updated Cost Data: Learn how to confirm that cost values have been correctly applied. Additionally, a pro tip is provided to enhance efficiency in updating products missing cost data. This comprehensive guide is essential for maintaining accurate product cost records and improving profitability analysis.

This help content provides a comprehensive guide on navigating catalog views and utilizing bulk controls effectively. Users will learn how to: 1. Switch between catalog views (Unified, Amazon, and Shopify) and understand the implications of each dataset. 2. Recognize data separation between different tabs, ensuring actions in one tab do not affect others. 3. Utilize the context-aware search function tailored to each catalog type. 4. Select products using checkboxes for bulk actions, including options to select individual, multiple, or all visible items. 5. Manage selections using the Select All and Deselect All controls for efficient handling of large datasets. 6. Perform bulk actions on selected products, such as matching or updating data. 7. Combine filters with selections for targeted operations on specific product groups. The content emphasizes the importance of filtering datasets before using bulk actions to avoid unintended changes.