Results 71 to 80 of about 197 (159)

Artificial Intelligence-Driven Customer Lifetime Value (CLV) Forecasting: Integrating RFM Analysis with Machine Learning for Strategic Customer Retention

Journal of Computer Science and Technology Studies
Customer Lifetime Value (CLV) is a critical metric in marketing analytics, enabling businesses to assess long-term profitability and optimize customer retention strategies. Traditional CLV models rely on heuristic approaches such as Regency, Frequency, and Monetary (RFM) analysis, but the advent of Artificial Intelligence (AI) and Machine Learning ...
null Jasmin Akter, null Ashutosh Roy, null Sanjida Rahman, null Sabrina Mohona, null Jannat Ara   +4 more
openaire   +1 more source

UEG Week 2024 Poster Presentations

United European Gastroenterology Journal, Volume 12, Issue S8, Page 665-1360, October 2024.
wiley   +1 more source

Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience

Mathematics
Optimizing customer journeys is a critical challenge in e-commerce and financial services, attracting attention from marketing, operations research, and business analytics.
Tzu-Chien Wang, Ruey-Shan Guo, Chialin Chen, Chia-Kai Li   +3 more
doaj   +1 more source

Research on customer lifetime value based on machine learning algorithms and customer relationship management analysis model. [PDF]

Heliyon, 2023
Sun Y, Liu H, Gao Y.
europepmc   +1 more source

Measuring and Predicting Customer Lifetime Value in Customer Loyalty Analysis: A Knowledge Management Perspective (A Case Study on an e-Retailer)

International Journal of Industrial Engineering and Production Research, 2009
Modern business organizations have appreciated the significance of having competitive advantage through the delivery of continuous improvement towards the customers, and being knowledge-oriented.
A. Aghaie
doaj  

A Study on Improving Customer Value Based on the Effect of Word of Mouth. [PDF]

Front Psychol, 2021
Fan J, Dong L.
europepmc   +1 more source

Измерение Customer Lifetime Value (CLV) в условиях традиционной и AI-адаптивной воронки

This article examines the methodological problem of assessing Customer Lifetime Value (CLV) within the context of conventional and AI-adaptive sales funnels. It is argued that in conditions of intensified market competition and oversaturation, traditional CLV measurement techniques – relying on statistical formulae, cohort analysis, and RFM ...
openaire   +3 more sources

Using the AraBERT Model for Customer Satisfaction Classification of Telecom Sectors in Saudi Arabia. [PDF]

Brain Sci, 2023
Aftan S, Shah H.
europepmc   +1 more source

Predictive Analytics for Customer Lifetime Value (CLV): Using Artificial Intelligence to Forecast Purchasing Behavior and Churn

The importance of CLV has become a key indicator of long-term profitability and strategic marketing strategies. Traditional CLV models, based on averages or Recency-Frequency–Monetary analysis, fail to capture complex customer behaviors and market trends. In this study, the purpose of this research project is to design and evaluate AI-driven predictive
Tarun Gupta, Supriya Bansal
openaire   +1 more source

AI‐Based Prediction and Management of Automation Equipment Lifecycle Costs: A Pathway to Enhancing Customer Lifetime Value (CLV)

Proceedings of the 2026 International Conference on Artificial Intelligence and Fintech
To enhance Customer Lifetime Value (CLV) within the lifecycle management of automated equipment, this study addresses the lack of foresight in traditional cost analysis by establishing an AI-based lifecycle cost modelling and CLV decision-making methodology grounded in multi-stage forecasting.
openaire   +1 more source