Kerem Topal Ismail Oglou – Leveraging AI and Data Analytics to Minimize Waste Generation in the Fashion Industry and Drive Sustainability.

During the internship, the intern will focus on three primary objectives related to the commercialization of sustainable solutions for the fashion industry:

Conducting a comprehensive business market analysis on retail/consumer goods industry standards for demand forecasting.
Extracting, cleaning, categorizing, and analyzing historical sales data to drive insights into consumer purchasing behavior and seasonality.
Assisting the engineering team in creating and improving an AI model to predict better consumer demand and production volume needs.

The intern will combine their passion for data analytics, sustainability, and technical skills to research demand forecasting techniques, analyze the company’s data, and visualize patterns to identify increased or decreased demand periods. This analysis will help determine overproduction periods and estimate waste generation that could have been avoided with better forecasting.
The intern will also collaborate with the engineering team to improve an AI model that predicted consumer demand and required production volumes more accurately. This model will help the fashion company minimize overproduction, waste generation, and become more sustainable.
Throughout the internship, the intern will benefit from the guidance of their academic supervisor and the partner organization, gaining valuable experience and expanding their professional network. They will develop problem-solving, communication, and project management, enhancing their career prospects.

Faculty Supervisor:

William McConkey

Student:

Partner:

Cansbridge Fellowship

Discipline:

Engineering

Sector:

Education; Other services (except public administration)

University:

University of Toronto

Program: