Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2024
Supervisor
Dr. Faisal Iradat, Assistant Professor, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Abstract
This literature explains the development of the Integrated Marketing Intelligence System for E-Commerce with Explainable AI addressing key challenges within e-commerce. This system includes predictive analytics, marketing optimization, and explainable AI techniques. Such integration should produce actionable insights from the following analyses: sales forecasting, customer behavior, and optimizing marketing spend. It uses a state-of-the-art machine learning model, the SHAP for interpretability, and strong data pipelines to grow not only the efficiency of operation but also the quality of strategic decisions. In this report, the aims and methodologies that outline its implementation are explained. A presentation of results and further scalability is explained.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Azhar, D. (2024). Integrated Marketing Intelligence System for E-Commerce With Explainable AI – Machine Learning & Business Intelligence Approach (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/44
Raw 5 Year Sales Data .xlsx (7410 kB)
Final Project.mp4 (172689 kB)
MSDS Project - Mid-Semester Progress Report (Daniyal Azhar 25793).pdf (505 kB)
The full text of this document is only accessible to authorized users.
