Results 81 to 90 of about 11,067 (306)
ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN KOMBINASI RFM MODEL DAN TEKNIK CLUSTERING
JUTEI (Jurnal Terapan Teknologi Informasi), 2018 Intense competition in the business field motivates a small and medium enterprises (SMEs) to manage customer services to the maximal. Improve of customer royalty by grouping cunstomers into some of groups and determining appropriate and effective ...
Beta Estri Adiana +2 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
From Market Segmentation to Customer Loyalty
International Journal of Business and Management, 2023 Customer satisfaction and customer loyalty are indicators of competitiveness for companies. In this work we considered the analysis of the relationship be- tween satisfaction and loyalty through a logistic regression model. We also related the results in a market segmentation model based on a latent class analysis that considered responses to value ...
openaire +2 more sources
Intelligent data mining and personalisation for customer relationship management
, 2004 Customer relationship management (CRM) initiatives have gained much attention in recent years. With the aid of data mining technology, businesses can formulate specific strategies for different customer bases more precisely. Additionally, personalisation
Wong, K.W. +7 more
core
Cultural aspects of multi-channel customer management: a case study in Egypt [PDF]
, 2009 Channel management is one CRM systems component much influenced by the behaviour of customers in relation to the implementation and use of channel management CRM component.
Brooks, L
core
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
LRFMV: An efficient customer segmentation model for superstores. [PDF]
PLoS One, 2022 Mahfuza R +5 more
europepmc +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Advanced Intelligent Systems, EarlyView.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers
Havacılık ve Uzay Teknolojileri Dergisi, 2020 Customer segmentation is acustomer grouping modelbased on common featuresand it directly relates with customer satisfaction of the companies.It provides access to the right customer with the right methods by knowing the customer better.
İlkay Yelmen +2 more
doaj