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Analysis

Optimizing Last-Mile Delivery for a San Francisco Grocery Startup

FreeVerified credential2 weeksIntermediate

Overview

What this challenge is about.

Optimizing Last-Mile Delivery for a San Francisco Grocery Startup. Intermediate challenge in analysis. Analyzing real datasets and building models that drive...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Minimize total travel distance for a fleet of delivery vehicles subject to time windows and capacity constraints.

This is not a data exercise. It is the work an analyst does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, real-world data.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Formulate a real-world logistics problem as a network flow model
  • Apply the successive shortest path algorithm to find optimal flows
  • Interpret dual variables (shadow prices) for capacity constraints
  • Validate model outputs against operational constraints

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Operations Research and Optimization

Bachelor · Methods

Strong alignment

This challenge maps to Operations Research and Optimization at the Bachelor level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.