Shopping cart websites operate on a very simple flow. The user logs in using the appropriate login credentials and then browses through the products. The user is then able to select the required products and accumulate them in the shopping cart using the "Add to cart" feature. After completing the selection of products the user can then proceed to make the payments. The user is shown the summary of the shopping with product list, quantity, and the total cost. Shopping cart websites use various payment methods like credit cards, online banking, or payments through other sites like PayPal, and so on.
There are many vendors that provide shopping cart applications which can be embedded into the website code. Many websites owners have shopping cart module developed on their own as per the customizations they require. Any ecommerce website deploying a shopping cart feature should consider the following important factors
*The shopping cart module should be easy to install and integrate into the website. It should not affect the layout of the existing website or require much of rework on the existing website. The module should be easily customizable.
*Shopping cart applications must be professionally designed so that webpage size is optimum and it loads quickly. Also they should be properly search engine optimized so that users can locate the online store while searching for a particular product.
*Security is the most important factor in a shopping cart application, as the website will deal with people’s money. Thus it is advisable to ensure that the application is hacker safe, and that any misuse of transacted data does not take place.
*Shopping cart application must support various payment methods and provide error free credit card processing.
*When sourcing a shopping cart application from a third party it is important to ensure that the vendor guarantees maximum uptime, 24/7 technical support, and minimum processing fees.
*The shopping cart module should be able to generate detailed and useful reports and provide proper analytics for sales, buying patterns, periodic income, maximum product sales, delivery schedules, and so on.
