Generative AI for Supply Chain Decision Making - Summer 2025

B429
Open Closing on May 20, 2025
George Brown College
Toronto, Ontario, Canada
He / Him
Prof. Program Coordinator of BBA (Mgmt)
(2)
6
Timeline
  • May 20, 2025
    Experience start
  • August 16, 2025
    Experience end
Experience
5 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Artificial intelligence Data visualization Data analysis Supply chain optimization Sales strategy
Skills
global sourcing supply chain optimization generative artificial intelligence business process communication supply chain management data-driven decision making data visualization
Learner goals and capabilities

Welcome to George Brown College's Experiential Learning Program.


This experience focuses on leveraging generative AI technologies to enhance decision-making processes within supply chain management. We are seeking companies that plan to apply the advantages of Generative AI (GenAI) to their supply chain management decision processes and would like to provide the opportunity for my students from B429 (post-graduate Supply Chain Management Program) to explore how a company can make successful decision in the era of disruptive and uncertain supply chain management.


Our students from Supply Chain Management Program have been successfully trained with the principles, methodologies and well-rounded data analytics skills for supply chain improvements. They will apply GenAI advantages to your business decision makings.


The students will benefit so much from identifying the pain points of the business processes, from the journey of building business solutions as well as implementing the solutions for clients.


Steps for Matching:

Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives.

Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved.

Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills.

Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency.

 

Ideal Partner:

We're seeking partners from retail, wholesale, distribution industries, B2B, B2C, 3PL, 4PL, manufacturers, global sourcing companies.

Ideal projects should involve real-world operational fact data. We will let the data speak.

Learners

Learners
Post-graduate
Intermediate levels
50 learners
Project
90 hours per learner
Educators assign learners to projects
Teams of 6
Expected outcomes and deliverables
  • Analytical reports
  • Business insights
  • Action plans
Project timeline
  • May 20, 2025
    Experience start
  • August 16, 2025
    Experience end

Project Examples

Requirements

Project Examples:


1.   Sales Growth Decision Making Based on GenAI

2.   Procurement Processes Decision Making Based on GenAI

3.   Delivery Decision Making Based on GenAI

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Text short
    Will you provide data sources for students to analyze, present and get feedback?  *