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Optimizing an urban meal delivery platform
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Alexander Hess de8afa6335
Initial commit 
- add the following files:
  + .gitignore => ignore poetry's and pyenv's artifacts
  + LICENSE.txt => MIT license as the project is scientific research
  + README.md => rough description of the project
  + poetry.lock
  + pyproject.toml
  + src/urban_meal_delivery/__init__.py => source code package
- use a "src" layout structure:
  + ensure that pytest runs the tests against a packaged and pip
    installed version of the source code, not the *.py files in the
    project directory
  + more info: https://hynek.me/articles/testing-packaging/
2020-08-03 20:19:42 +02:00
src/urban_meal_delivery Initial commit 2020-08-03 20:19:42 +02:00
.gitignore Initial commit 2020-08-03 20:19:42 +02:00
LICENSE.txt Initial commit 2020-08-03 20:19:42 +02:00
poetry.lock Initial commit 2020-08-03 20:19:42 +02:00
pyproject.toml Initial commit 2020-08-03 20:19:42 +02:00
README.md Initial commit 2020-08-03 20:19:42 +02:00

README.md

Urban Meal Delivery

This repository holds code analyzing the data of an undisclosed urban meal delivery platform operating in France from January 2016 to January 2017. The goal is to optimize the platform's delivery process involving independent couriers.

The analysis is structured into three aspects that iteratively build on each other.

Real-time Demand Forecasting

Predictive Routing

Shift & Capacity Planning