Sentient AI E-commerce Recommendation Engine

The shopping experience has expanded over time and also shortened with the advent of online shopping. Visible store locations traditionally used shopping assistants, observing customers, and making recommendations based on items being sought. Emails along with US postal advertisements alert customers to discounted items on a variety of consumer products that may already have interest or spark interest.

The recommendation engine is used in e-commerce, and other industries such as media, transportation and healthcare. Its function is much like that of the in-store shopping assistant. However, it operates on a well-defined set of protocols termed algorithms that may sort through a large pool of data to bring up results that match a customer’s preferences concerning specific items. A longstanding example of this is used by such vendors as Amazon or Barnes and Noble in their books and music offerings. Customers who bought this bought that. This is the result of work done by a recommendation engine.

There are said to be three types of recommendation engines:

Collaborative Filter. These engines compile data from a group of customers who exhibit similarities in preferences and buying habits.

– Content Filters. These engines are more tailored to individual customers. Key words are used to describe items purchased and characteristics.

– Hybrid Engines. These combine elements of collaborative filters and content filters.

Sentient Aware is an artificial intelligence (AI) powered recommendation engine. It learns about customer preferences with each interaction, which increases the store’s ability to tailor items toward the customer. Ultimately, shopping time becomes most efficient. The likelihood of a purchase is further ensured.

The advantages for e-commerce venues may include return visits, available inventory gets promoted, purchases occur and the value of the given business is appreciated.

This strategy is already in use by such social media giants as LinkedIn and Facebook. LinkedIn may suggest jobs of interest or network connections. Facebook may suggest persons one knows that could become Facebook friends. AI is finding its place in 21st century life in much of the developing world.

Read: http://thecircledot.com/2017/09/25/how-e-commerce-sites-leverage-ai-technology-to-improve-customer-experience/