Agent-based models (ABMs) have been widely used to represent and investigate complex
systems and are a contemporary modelling approach used in the study of land-use change …

In recent years, there has been a growing surge of interest in the application of data
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …

Traditional customer segmentation methods cannot obtain more effective information from
massive customer data, which affects the formulation of marketing strategies. Based on this …

El propósito de la investigación es indagar acerca del cumplimiento de las condiciones de
omnicanalidad en consumidores y en micronegocios del sector de alimentos procesados en …

Objective: Present an overview of scientific articles published in the last ten years on the
topic of machine learning (ML), with an emphasis on predictive algorithms …

The increase in economic activity within society is supported by the distribution and
development of retail businesses that are becoming more widespread throughout Indonesia …

This research study is based on the analysis of transaction data in supermarkets. Various
mechanisms and technologies of data mining, data warehousing, and other consumer …

In today's digital age, the development of technology has made it easier for customers to
reach everything. Store segmentation, which is one of the new methods, can be done in …

The purpose of this study is to develop a quantitative assessment of service quality for
grocery stores operators to translate the customer's expectations and perceptions into …

Market basket analysis is a crucial technique in retail for uncovering associations between
items frequently purchased together. This study aims to compare the effectiveness of the …