[PDF][PDF] Explainable artificial intelligence solution for online retail

K Javaid, A Siddiqa, SAZ Naqvi, A Ditta… - … Materials & Continua, 2022 - cdn.techscience.cn
Artificial intelligence (AI) and machine learning (ML) help in making predictions and
businesses to make key decisions that are beneficial for them. In the case of the online …

[PDF][PDF] Comparative analysis of different machine learning algorithms to predict online shoppers' behaviour

V Parihar, S Yadav - International Journal of Advanced …, 2022 - researchgate.net
-------------------------------------------------------------------ABSTRACT-------------------------------------------
--------------------The trend of online-shopping has gradually increased and this trend is …

Investigation of KNN and Decision Tree Induction Modelin Predicting Customer Buying Pattern

V Umarani - Proceedings of the First International Conference on …, 2021 - eudl.eu
Abstract Machine Learning Techniques is playing a key role in almost all domains. More
specifically its role in ecommerce industry is inevitable since these techniques are able to …

Machine learning based linear regression model for analysis and prediction of sales

M Selvam, R Rajeswari… - Artificial Intelligence and …, 2024 - taylorfrancis.com
Sales Analysis and Prediction are very important processes of a business. This research
aims to analyze the sales of a supermarket and predict the future sales for enabling them to …

Evaluating Machine Learning Algorithms for Marketing Data Analysis: Predicting Grocery Store Sales

DR Gopagoni, PV Lakshmi, A Chaudhary - Communication Software and …, 2020 - Springer
Abstract Machine learning is a subset of artificial intelligence that has an ability to
automatically learn the data and improve learning through the experience without being …

Artificial intelligence model for analyzing the buying patterns of customers

SMN Sakib - Handbook of Research on AI and Machine Learning …, 2023 - igi-global.com
This study aims to incorporate artificial intelligence (AI) for analyzing buying patterns of
customers and different factors that are playing its role by discovering the important factors …

An Evaluation of Core Factors of Predictive Analytics in Influencing Purchase Decision of the Consumers in E-business

J Masih, M Mathur, A Bhagwat, S Mishra… - … Intelligence, Internet of …, 2023 - Springer
Business intelligence and predictive analytics skills is a significant growth driver in e-
commerce operations. These capabilities assist to enhance vendor sales and attract …

[PDF][PDF] Data mining model for predicting customer purchase behavior in e-commerce context

OA Alghanam, SN Al-Khatib… - International Journal of …, 2022 - pdfs.semanticscholar.org
Nowadays e-commerce environment plays an important role to exchange commodity
knowledge between consumers commonly with others. Accurately predicting customer …

Classifications of Offline Shopping Trends and Patterns with Machine Learning Algorithms

CK Zarry, A Kurniawan, H Hasysya… - … Research Journal of …, 2024 - journal.irpi.or.id
Advancements in technology have made online shopping popular among many. However,
the use of offline marketing models is still considered a profitable and important way of …

[PDF][PDF] Analysis of Customer Behaviour using Modern Data Mining Techniques

SJ Nasti, M Asgar, MA Butt - International Journal of Computer …, 2017 - researchgate.net
Revised: 29/Nov/2017, Accepted: 15/Dec/2017, Published: 31/Dec/2017 Abstract—As we
know enormous amount of data is present on the Internet and in order to get value out of this …