Machine learning in marketing: A literature review, conceptual framework, and research agenda

EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

Artificial intelligence in customer retention: a bibliometric analysis and future research framework

C Singh, MK Dash, R Sahu, A Kumar - Kybernetes, 2024 - emerald.com
Purpose Artificial intelligence (AI) is increasingly applied by businesses to optimize their
processes and decision-making, develop effective and efficient strategies, and positively …

Analysis of efficiency factors of companies in Serbia based on artificial neural networks

R Lukic - Anali Ekonomskog fakulteta u Subotici, 2022 - j13.ef.uns.ac.rs
This paper investigates the influence of certain factors on the efficiency of companies in
Serbia using artificial neural networks. According to the results of empirical research using …

Statistical and Machine Learning Approaches to Predict the Next Purchase Date: A Review

A Sharma, P Randhawa… - 2022 4th International …, 2022 - ieeexplore.ieee.org
In the era of the digital revolution, customer expectations have drastically changed. To meet
and exceed customer expectations, companies are transforming their marketing strategies …

Transformer-based model for predicting customers' next purchase day in e-commerce

A Grigoraș, F Leon - Computation, 2023 - mdpi.com
The paper focuses on predicting the next purchase day (NPD) for customers in e-commerce,
a task with applications in marketing, inventory management, and customer retention. A …

Supervised machine learning for predicting SMME sales: an evaluation of three algorithms

H Zhou, V Gumbo - The African Journal of Information and …, 2021 - scielo.org.za
The emergence of machine learning algorithms presents the opportunity for a variety of
stakeholders to perform advanced predictive analytics and to make informed decisions …

[PDF][PDF] CONSUMER SATISFACTION IN THE DIGITAL EDGE–EDISI INDONESIA

A Wardhana - 2024 - researchgate.net
Puji Syukur penulis panjatkan kehadirat Allah SWT, yang telah melimpahkan rahmat dan
karunia-Nya sehingga penulisan buku “Consumer Satisfaction In The Digital Edge–Edisi …

A Machine Learning Approach to Predict the Personalized Next Payment Date of An Online Payment Platform

LCR Karunathunge, BN Dewapura… - … on Advancements in …, 2022 - ieeexplore.ieee.org
Use of digital payments has risen exponentially in the recent past especially due to the
COVID-19 pandemic. This is because online payment methods offer many benefits in …

Improvement of Quality Performance in Mask Production by Feature Selection and Machine Learning Methods and An Application

S Tebrizcik, S Ersöz, A Aktepe - Savunma Bilimleri Dergisi, 2024 - dergipark.org.tr
With the development of technology, large databases become more accessible thanks to
automation systems that automatically keep data and allow the use of large databases in …

System and methods for message timing optimization

US Patent 11,756,105, 2023 - Google Patents
Disclosed are systems, methods, and non-transitory computer-readable media for message
timing optimization. A message timing optimization system determines optimized times to …