E-commerce: applications of AI

The introduction of artificial intelligence has revolutionised the e-commerce sector. Some applications of this technology are computer vision, natural language processing (NLP) and reinforcement learning systems. This article will look at these three developments.

Computer vision
By using this technology, retailers have the opportunity to create product listings with high quality images. These descriptions will help consumers understand the details of an item or service more accurately. Moreover, computer vision can be leveraged in areas such as algorithm-driven product poster design and recommendations based on customers’ visual style preferences.

Natural language processing

E-commerce platforms use NLP to search and sort out algorithms for keyword analysis. They then attribute extraction from product descriptions to enhance the shopping experience by matching the items displayed with search terms more accurately. This can considerably improve customer experience. Moreover, a dynamic NLP-driven sorting system can guide clients towards trending products more efficiently.

Reinforcement learning
This refers to goal-oriented algorithms that help software agents take actions bringing cumulative rewards in a particular environment. Various e-commerce platforms use reinforcement learning technology and big data in user behaviour prediction to optimise product rankings on search results. This also boosts their conversion rates.

To learn more about the implementation of artificial intelligence in the e-commerce value chain, keep following this blog.

Artificial intelligence enhances customer experience