Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review

L Saha, HK Tripathy, SR Nayak, AK Bhoi, P Barsocchi - Sustainability, 2021 - mdpi.com
Customization of products or services is a strategy that the business sector has embraced to
build a better relationship with the customers to cater to their individual needs and thus …

[PDF][PDF] Machine-learning techniques for customer retention: A comparative study

SF Sabbeh - … Journal of advanced computer Science and …, 2018 - pdfs.semanticscholar.org
Nowadays, customers have become more interested in the quality of service (QoS) that
organizations can provide them. Services provided by different vendors are not highly …

A computational model to predict consumer behaviour during COVID-19 pandemic

F Safara - Computational Economics, 2022 - Springer
The knowledge-based economy has drawn increasing attention recently, particularly in
online shopping applications where all the transactions and consumer opinions are logged …

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Machine learning to develop credit card customer churn prediction

D Al-Najjar, N Al-Rousan, H Al-Najjar - Journal of Theoretical and …, 2022 - mdpi.com
The credit card customer churn rate is the percentage of a bank's customers that stop using
that bank's services. Hence, developing a prediction model to predict the expected status for …

Research and Innovation to Market Development: Artificial Intelligence in Business

N Yathiraju, P Raman, R Madala… - 2023 Eighth …, 2023 - ieeexplore.ieee.org
Showcasing has become complicated over the most recent multi decade with the
presentation of Artificial Intelligence. Artificial Intelligence Promoting is a strategy of ideally …

Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it

T Arumugam, R Arun, S Natarajan, KK Thoti… - Data-Driven Intelligent …, 2024 - igi-global.com
Technological changes have helped the methodology of execution where we can examine
the sector in addition to the manner enterprise is carried out. Productive development has …

Experimental analysis of hyperparameters for deep learning-based churn prediction in the banking sector

E Domingos, B Ojeme, O Daramola - Computation, 2021 - mdpi.com
Until recently, traditional machine learning techniques (TMLTs) such as multilayer
perceptrons (MLPs) and support vector machines (SVMs) have been used successfully for …

Customer churn prediction in influencer commerce: An application of decision trees

S Kim, H Lee - Procedia Computer Science, 2022 - Elsevier
This study aims to predict customer churn in influencer commerce. As influencer commerce
is a form of e-commerce, influencers directly sell products by uploading website links on …

[PDF][PDF] Transforming marketing with artificial intelligence

P Jain, K Aggarwal - International Research Journal of …, 2020 - researchgate.net
Marketing has become complex in the last one decade with the introduction of Artificial
Intelligence. Artificial Intelligence Marketing is a technique of optimally utilizing technology to …