This article discusses various features which are essential in your ecommerce site for Search Engine’ . If your ecommerce store search experience is bad your customer might hop to the next available ecommerce site to make that purchase.
If you have huge ecommerce catalog, optimizing and organizing the catalog and improving the search experience is key to the success of your ecommerce store and also the most important job of ecommerce Manager. Before we go further let's explore key terms which will help us understand the article better
Breadcrumb navigation helps user to get back to the previous category or page etc. This is normally available in ecommerce or CMS applications.
Facets give the users ability to iteratively refine or expand the ‘Search Results’ and ultimately helps the user to browse the list of products which he intended to quickly. This ‘filtering’ now in modern websites is usually done via ‘ajax’ or using ‘Single page application to make the ‘Search Results’ load faster.
5.These facets/filters are product attributes and they should be configurable, meaning a ‘Product Attribute’ should have config setting ‘ To make it Searchable’ and ‘ To Show as Facet or Filter’ in the catalog list view.
User should be able to Sort the ‘Search Result’, for example sort Price (Low to high) helps the user to find the products which he is looking.Various ‘Sort By’ options which are normally found in the Search Engines.
Auto Suggest Functionality
Made popular by google search engine, this helps the user to choose the product based on few letters he entered this helps customer search products with Keyword or Partial Key Term or some other attribute of the product. Typically this most used feature by the customer to search the product.
Other Advanced ecommerce Search Functionalities
There are plenty of choices to use various search engines, again it depends your ecommerce application and the language which it written but in general these are good suggestions.
ElasticSearch is currently number one leader in the search market. This product also is open source and also a fork of lucene.
Amazon ES service
Amazon AWS provided service for Elastic search.
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