Implementing AI technologies for enhanced e-commerce strategies

The emergence growth of the electronic commerce (e-commerce) industry during recent decades transformed business processes. It, firstly, involves the need and capability to collect and process huge amounts of data on consumer behaviour and internal company operations to reach a performance increase. To archive it effectively, e-commerce industry is implementing AI technologies for various functions including price maintaining, recommendation systems, personalized and voice assistance, supply chain optimization and many more. AI empowered such e-commerce tools as personalized systems, improved A/B testing, immediate customer support that evidently led to data-driven strategies adoption and structural business changes. This study aimed to analyze how AI algorithms such as Machine Learning, Natural Language Producing (NLP), etc. are used for e-commerce tools in order to boost performance metrics. Through the deep literature review the integrative map of AI technologies in various e-commerce processes was created. Additionally, the article explored case studies from e-commerce companies and firms providing AI solutions for businesses. Nowadays, the rapid development of both AI and e-commerce creates not only more opportunities but also challenges, making the integration of AI essential for businesses aiming to have a competitive position in the market.