Improving E-commerce Efficiency with Artificial Intelligence: Enhancement of Customer Experience
El-haddar, Mohammed; El Aabdouni, Mohammed; EL bahri, Rayan (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052917555
https://urn.fi/URN:NBN:fi:amk-2024052917555
Tiivistelmä
This study aimed to investigate the application of advanced digital tools in E-commerce, aiming to assess their influence on several business processes including marketing, supply chain, asset, manufacturing, and human resource management. Through an exploration of secondary data, case studies, and insights from experts, the goal was to provide an expansive view of digital tools' capability to transform customer interactions and build loyalty within the online shopping realm.
In this thesis, the strategic implementation of technologies was investigated to determine how they can transform business operations and fundamentally change the interactions between enterprises and their customers.
The research focused on how tailored marketing strategies, predictive analytics, and automated services enhance customer satisfaction. Additionally, the potential of Artificial Intelligence (AI) in revolutionizing the fields of E-commerce and Customer Relationship Management (CRM) was explored, emphasizing its capability to enable
more personalized, efficient, and responsive customer engagements. The methodology included gathering qualitative data for case studies to conducting interviews with industry professionals to provide insights into the practical applications of these technologies.
The thesis shows that integrating AI with CRM in E-commerce revolutionizes customer experiences and business models by shifting from standard to personalized interactions. Utilizing machine learning, AI algorithms, chatbots, and predictive analytics, businesses have become more customer-centered and responsive.
In this thesis, the strategic implementation of technologies was investigated to determine how they can transform business operations and fundamentally change the interactions between enterprises and their customers.
The research focused on how tailored marketing strategies, predictive analytics, and automated services enhance customer satisfaction. Additionally, the potential of Artificial Intelligence (AI) in revolutionizing the fields of E-commerce and Customer Relationship Management (CRM) was explored, emphasizing its capability to enable
more personalized, efficient, and responsive customer engagements. The methodology included gathering qualitative data for case studies to conducting interviews with industry professionals to provide insights into the practical applications of these technologies.
The thesis shows that integrating AI with CRM in E-commerce revolutionizes customer experiences and business models by shifting from standard to personalized interactions. Utilizing machine learning, AI algorithms, chatbots, and predictive analytics, businesses have become more customer-centered and responsive.