The Secret Behind Successful E-Commerce Businesses

Computer screen next to a shopping cart that has two web pages in it

Online shopping is addictive. Many would agree with me. How do these online stores know exactly what I want, and keep recommending merchandises that I am tempted to buy?

E-Commerce businesses that sprung up during the bloom of the internet shopping are changing the traditional way of selling, bringing shopping experience to a whole new level. This whole E-Commerce phenomenon is revolutionary in the way that, there is no longer a need for a sales associate to promote, cross sell, or up sell a merchandise.


Let’s take a look at a brick-and-mortar business of a boutique that sells fashion apparel. The most common way for the business is the placement of sales associates on the sales floor to engage in direct sales activities. The sales associates are usually trained to cross sell complementary products and up selling different kinds of similar style apparels.

An E-Commerce business that sells apparel on the other hand, delegates the task to computer intelligence instead of investing in the employment of sales associates. The computer intelligence we are talking about here, is also known as Business Intelligence (BI). It is no doubt one of the greatest contributing factor to the success of an E-Commerce business. Low cost once implemented, this technology allows the business to collect various information about its customers, remembering his/her shopping preference, buying pattern, frequently browse categories, last viewed item, last transaction, amount spent per week and etc.




Up Selling

Up selling backed by Business Intelligence proves to be a much more effective tool as compared to in-store sales personnels. This tool can be easily integrated into the e-commerce site by utilizing category recommendation API such as the Text Classification API. As the name suggest, this API does the due diligence of classifying/grouping similar products under the same category. For instance, a search for checkered shirt will trigger the recommendation for stripes shirt and polka-dot shirts and etc. For differing demands, customization of the API is also possible to cater to unique business needs.



For more enquiry on customizing the Text Classification API, drop us an email at [email protected] or check out our demo page.

Team Twinword
Team Twinword
Team Twinword built the first keyword research tool that can automatically detect user intent, topic, and pattern. The tool uses AI technology to automatically create keyword suggestion groups based user intent, detected topic and pattern, or a custom topic and pattern. Keyword research is faster with AI.

Leave a Reply

Your email address will not be published. Required fields are marked *