Supply Chain Optimizer
Supply Chain Optimizer: Build AI Forecasting for a Logistics Startup. A 4–8 weeks Intravarsity career experience (30–50 hours) for school and undergraduate st
Every product you use traveled a complex supply chain. You'll work with a logistics startup to build AI-powered demand forecasts, optimize distribution routes, and design traceability systems — the same work that Fortune 500 companies pay consulting firms millions for.
Work with a logistics startup to build demand forecasting models and optimize supply chain routes. Your models reduce costs and improve delivery — real impact on real operations.
Who it is for
High school, secondary school students & undergraduates. Interest in business, logistics, or data analysis.
Weekly plan
Week 1: Supply Chain Data Analysis
- Meet the logistics startup and understand their operations
- Map product journeys from raw materials to consumer
- Build supply chain dashboards in Python with real shipping data
- Identify bottlenecks and optimization opportunities
Week 2: Demand Forecasting
- Build time series forecasting models using ARIMA and Prophet
- Apply machine learning to improve forecast accuracy
- Compare statistical vs. ML-based methods on real data
- Validate models against the startup's historical accuracy
Week 3: Route & Network Optimization
- Solve logistics routing problems using optimization algorithms
- Design an optimized distribution network for cost reduction
- Model blockchain-based traceability for product provenance
- Workshop with the startup's operations team on implementation
Week 4: Consulting Presentation
- Write a consulting-style recommendation report
- Calculate projected cost savings and efficiency gains
- Present to the startup's leadership and logistics investors
- Receive Proof-of-Work credential and logistics recommendation
What you produce
- Demand forecast model
- Supply chain optimization report
- Cost savings analysis
- Logistics startup recommendation
- Intravarsity Proof-of-Work credential
Skills
Supply Chain Analytics, Demand Forecasting, Python, Route Optimization, Data Visualization, Business Analytics, Consulting, Machine Learning
Commitment
~5–8 hours/week for 4–8 weeks (30–50 hours total). 100% Virtual — work remotely with a logistics startup.