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Search and Navigation for B2C Commerce
Use B2C Commerce to control how customers find your products on your own site and through external search engines, such as Google.
- Search Checklist for B2C Commerce
The search checklist contains the tasks that can be performed to customize search in B2C Commerce. Outside of the basic search setup, most of these are optional but recommended. - Keyword Searches for B2C Commerce
Keyword searching is how most customers use your storefront to find the products they’re interested in buying. To create a large and accurate search index, specify the searchable product attributes and configure relationships using search dictionaries. When an item is searched for, B2C Commerce runs through a search process, gathers the results, and applies a sorting rule that defines how to display the respective results. - Search Dictionaries for B2C Commerce
Use the B2C Commerce Search Dictionary module to manage all of your search dictionaries from one location. A search dictionary contains all your searchable product attributes, grouped and organized by specific criteria. - Search Indexes for B2C Commerce
B2C Commerce search indexes provide the data used to perform storefront searches. Expect to rebuild your indexes whenever you update product or content data, so that the data in the index is as current as possible. - Search Results for B2C Commerce
Search Results are the items returned when a customer searches within the storefront. - Sorting Rules for B2C Commerce
Use B2C Commerce sorting rules to control the order in which search results appear to help your customers quickly find the products they’re interested in. - Search Refinement for B2C Commerce
With B2C Commerce, you can let customers refine a search using multiple attributes, such as price, promotion, category, or a product attribute. For example, let customers search for TVs based on-screen size, price and manufacturer, or to search for lenses based on zoom magnification, price, and manufacturer. This is useful if you have a large catalog and any particular customer is only looking for specific products. For example, on an apparel site, most customers are not interested in items that are not in their desired size or color.
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