Discover 7 proven strategies for Customer Relationship Management For E-commerce—backed by data, real-world case studies, and actionable implementation steps to boost retention, LTV, and revenue in ...

The global business process outsourcing (BPO) services market is rapidly expanding, driven by AI, digital transformation, and ...

Big data analytics in retail enables detecting customer behavior, discovering customer shopping patterns and trends, improving quality of customer service, and achieving better customer retention and ...

The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

Introduction: To evaluate the feasibility of a WEKA-based machine learning pipeline for detecting post-treatment hemodynamic remodeling by comparing pre- and postoperative cerebral angiographic images ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

A mall customer segmentation machine learning model categorizes customers based on their behaviors and preferences, enabling businesses to tailor marketing strategies and optimize operations for ...

This project performs customer segmentation using the Mall Customer dataset. The goal is to cluster customers based on their Annual Income and Spending Score to identify meaningful segments and gain ...

Background: Radiomics based on automatic segmentation of CT images has emerged as a highly promising approach for differentiating adrenal adenomas from metastases in clinical practice; however, its ...