Analysis
Optimizing Last-Mile Delivery for a Mumbai D2C Cosmetics Brand
Overview
What this challenge is about.
Your task is to analyze Glow Naturals' current delivery data (provided in a simulated dataset) and design an optimized last-mile delivery strategy. You must consider factors like delivery density, time windows, vehicle capacity, and sustainability (e.g., electric bikes). Success means presenting a plan that achieves cost reduction without sacrificing customer satisfaction. Deliverables include a route optimization model, a cost-benefit analysis of alternatives, and a phased implementation roadmap. Constraints: no capital expenditure beyond ₹50 lakh, and the solution must be implementable within 3 months.
The Brief
What you'll do, and what you'll demonstrate.
How can Glow Naturals redesign its last-mile delivery network to reduce costs by 15% while improving on-time delivery to 98%?
Earning criteria — what you'll demonstrate
- Apply process design principles to a real-world logistics network
- Evaluate trade-offs between cost, service level, and sustainability
- Use quantitative methods for route optimization and capacity planning
- Develop a business case for supply chain change
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.