Degree
Master of Science in Finance
Department
Department of Finance
School
School of Business Studies (SBS)
Date of Submission
Spring 2024
Supervisor
Dr. Mohsin Sadaqat, Assistant Professor and Head of Finance Lab, Department of Finance, Institute of Business Administration (IBA), Karachi
Submission Type
Research Project
Document Type
Restricted Access
Pages
viii, 83
Keywords
Search Algorithm, Profitability Margin, E-commerce, A/B Testing, Daraz, Cost Of Good Sold, Commission, Taxation
Abstract
The project was conducted to provide the data science team with a data set that has an SKU level expected profit margin so that it can be incorporated in their search & recommendations algorithm to show people all those items that are more profitable for Daraz and thus can help the Daraz in achieving profitability. Daraz is currently on the course of achieving positive unit economics and has been working on multiple projects that can help the company to make this a reality. The company already has access to world-class tools and resources which include its search and algorithm team which has developed algorithms to fuel its research and they keep on making it better with the power of data. We undertook this project keeping in mind the focus of the company this year, we identified that besides the changes that Daraz is making business-wise, there should be something that the Data Science team can do from its point of view to help the organization achieve this feat and hence the idea for this project came into existence.
Recommended Citation
Hameed, F. (2024). Maximizing Profitability through Assortment Analysis & Search Algorithm Enhancement (Unpublished graduate research project). Retrieved from https://ir.iba.edu.pk/research-projects-msfin/14
The full text of this document is only accessible to authorized users.