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Cover image for Optimizing Last-Mile Delivery for a New York D2C Cosmetics Brand
Analysis

Optimizing Last-Mile Delivery for a New York D2C Cosmetics Brand

FreeVerified credential2 weeksIntermediate

Overview

What this challenge is about.

Optimizing Last-Mile Delivery for a New York D2C Cosmetics Brand. 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.

How can the startup redesign its last-mile delivery network to reduce costs and improve delivery reliability without major investment?

This is not a data exercise. It is the work an analyst or data scientist 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, incomplete, 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."

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

  • Apply the SCOR model to map and analyze a supply chain process
  • Evaluate trade-offs between cost, speed, and sustainability in logistics
  • Design a performance measurement system for last-mile delivery
  • Develop a data-driven recommendation for carrier selection

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.