Supply Chain Analytics in Action - Summer 2025

Timeline
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May 20, 2025Experience start
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August 16, 2025Experience end
Experience scope
Categories
Databases Data visualization Data analysis Supply chain optimization Sales strategySkills
global sourcing solution design supply chain analysis supply chain optimization data-driven decision making data visualizationWelcome to George Brown College's Experiential Learning Program.
This experience aims to bridge the gap between theoretical concepts and practical applications, enabling learners to contribute effectively to industry projects. Up to five groups of six students from Supply Chain Management Program will be working on creating supply chain management tools for sale growth or supply chain performance improvement. 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.
The students will benefit so much from the operational data from the clients, and as a result they will identify the pain points of the business processes and provide the solutions for real-world 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, Or B2B, B2C, 3PL, 4PL companies, manufacturers with make-to-order/make-to-stock strategy, global sourcing companies.
Ideal projects should involve real-world operational data. We will let the data speak.
Learners
- Analytical reports
- Business insights
- Action plans
Project timeline
-
May 20, 2025Experience start
-
August 16, 2025Experience end
Project Examples
Requirements
1. Sales Growth Analysis/Tools (database design and development): If the client has an almost well-designed Data Warehouse/Data Lake for most of their operational data, or, has historical data (like product-level sales, customer order, purchase order, inventory, cost, price, etc.) from different software/systems and needs to integrate all the data from different sources to explain how and why the sales grows/declines, the student will build solutions with actionable insights for you.
2. Procurement Strategy and Decision Making: The students will analyze how procurement decisions will contribute to business growth, cost optimization, quality product design. They will help the manufacturer/ distributor etc. to meet the requirements of target costs.
3. Sales Growth Analysis/Tools (an Excel/database design and development): If the client has only hundreds of products with data in Excel files (no Data Warehouse available), or the client has a POS system like Square, Lightspeed, Shopify, etc., the student will create database/ Excel tools and/or Power BI visual tools to show you actionable insights for inventory analysis and supply chain performance improvements.
4. Inventory Performance Improvement – Analysis/Tools: If the client has accumulated cash flow issues due to lower Inventory turnover rates for fast-moving and slow-moving products, customer demand uncertainty, global purchasing challenges, supply process uncertainty, etc. The students will analyze why and how it happened, how to fix it, to what degree to solve the problems.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
May 20, 2025Experience start
-
August 16, 2025Experience end