Generative AI for Supply Chain Decision Making - Summer 2025

Contact principal
George Brown College
Toronto, Ontario, Canada
Il / Lui
Prof. Program Coordinator of BBA (Mgmt)
(7)
6
Chronologie
  • mai 16, 2025
    Début de expérience
  • août 2, 2025
    Fin de expérience
Expérience
3/3 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Tout type de entreprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Intelligence artificielle Visualisation des données Analyse des données Optimisation de la chaîne d'approvisionnement Stratégie de vente
Compétences
global sourcing supply chain optimization generative artificial intelligence business process communication supply chain management data-driven decision making data visualization
Objectifs et capacités de apprenant.es

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.

Apprenant.es

Apprenant.es
étudiant.e de cycle supérieur
Niveau Intermédiaire
50 apprenant.es dans le programme
Projet
90 heures par apprenant.e
Les apprenant.es s'inscrivent aux projets
Équipes de 6
Résultats et livrables attendus
  • Analytical reports
  • Business insights
  • Action plans
Chronologie du projet
  • mai 16, 2025
    Début de expérience
  • août 2, 2025
    Fin de expérience

Exemples de projets

Exigances

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

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

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