The supply chain includes all the steps in an item's life cycle starting from raw material and all the way to the customers. Delays in these steps have always been a problem faced by businesses due to the huge financial loss these delays account for. These delays frequently cause significant financial losses, irritate customers, and loss of customer confidence. The aim of this study is to construct a prediction model that predicts late deliveries before its occurrence with the use of big data and machine learning. The study used Dataco Supply Chain dataset and cleaned, visualized, and trained it using several classification machine learning algorithms. Finally, potential models were compared and the best one was chosen based on accuracy and recall values.

Publication Date

Fall 2022

Document Type

Master's Project

Student Type


Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)


Sanjay Modak

Advisor/Committee Member

Khalil Al Hussaeni


RIT Dubai