Campaign and Loyalty Management in B2B Field with Deep Learning Methods

Zeki ORALHAN | Burcu ORALHAN

The paper presents a deep learning model for improving customer loyalty management in the business-to-business (B2B) field. In industries where technology is continuously evolving and competition is fierce, it is critical to maintain client loyalty and improve customer satisfaction. To generate a competitive advantage, the project aims to construct a deep learning-supported model to meet these objectives. The research is covered methodologies involving artificial intelligence algorithms such as deep learning to analyze customer behavior and preferences. Customer data was obtained from ERP syst ...Daha fazlası

Bildiri 2023 3 rd International Conference on Design, Research and Development , pp. 3 - 37 3 Görüntülenme

Injury Analysis Framework for Athletes

Zeki ORALHAN | Burcu ORALHAN

Sports has emerged as one of the world's major industries. Thus, athlete health is one of the most critical elements influencing the sector's profits and losses. When potential injuries or poor performance are expected, the risks can be reduced by assessing the players' physical health state and performance. Although traditional methods can only provide limited forecasts, machine learning approaches will allow us to take steps to improve athlete performance and avoid potential injury concerns. In this work, modeling was used to forecast athlete injury and poor performance risks using a rule-ba ...Daha fazlası

Bildiri 2023 3rd International Conference on Design, Research and Development , pp. 3 - 39 8 Görüntülenme

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Campaign and Loyalty Management in B2B Field with Deep Learning Methods

Zeki ORALHAN | Burcu ORALHAN

Injury Analysis Framework for Athletes

Zeki ORALHAN | Burcu ORALHAN