Show simple item record

dc.contributor.authorDimitrova, Teodora
dc.contributor.authorMarinov, Ivan
dc.date.accessioned2026-08-30T11:59:48Z
dc.date.accessioned2026-08-30T11:59:49Z
dc.date.available2026-08-30T11:59:48Z
dc.date.available2026-08-30T11:59:49Z
dc.date.issued2026
dc.identifier.issn0323-9004
dc.identifier.urihttp://hdl.handle.net/10610/5333
dc.description.abstractContemporary consumers have high expectations regarding the speed, convenience, and personalized solutions of online shopping, which requires the implementation of advanced technologies for analysing consumer behavior, preferences, and accumulated data. In this context, artificial intelligence provides opportunities for dynamic customer profiling, predicting future needs, and offering personalized products and services. The implementation of intelligent systems in e-commerce provides significant benefits, including higher conversion rates, increased sales volumes, and marketing strategies optimization. Personalization not only enhances customer loyalty and strengthens trust in brands but also reduces customer churn and encourages repeat purchases. From retailers’ point of view, artificial intelligence integration contributes to more efficient product portfolio and inventory management, while simultaneously helping to reduce operating costs. Global e-commerce leaders, such as Amazon, Alibaba, eBay, Rakuten, and Shopee, already employ a wide range of artificial intelligence–based solutions to enhance customer experience and strengthen their competitive positions on the market.us_US
dc.publisherTsenov Publishing HouseEN_en
dc.relation.ispartofseries2;1
dc.subjectartificial intelligenceus_US
dc.subjectretail tradeus_US
dc.subjecte-commerceus_US
dc.subjectcustomer personalizationus_US
dc.subjectcustomer behaviorus_US
dc.titleAI-Driven E-Business: The Future Of Customer Personalizationus_US
dc.typeArticleus_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record