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Optimizing an urban meal delivery platform
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Alexander Hess 97d714d9ee
Add CLI entry point umd 
- add the following file:
  + src/urban_meal_delivery/console.py => click-based CLI tools
  + tests/test_console.py => tests for the module above
- add a CLI entry point `umd`:
  + implement the --version / -V option
    to show the installed package's version
  + rework to package's top-level:
    * add a __pkg_name__ variable to parameterize the package name
  + add unit and integration tests
- fix that pylint cannot know the proper order of imports in the
  isolated nox session
2020-08-04 21:14:40 +02:00
src/urban_meal_delivery Add CLI entry point umd 2020-08-04 21:14:40 +02:00
tests Add CLI entry point umd 2020-08-04 21:14:40 +02:00
.gitignore Add nox as the task runner 2020-08-03 21:24:06 +02:00
.pre-commit-config.yaml Set up pre-commit hooks 2020-08-04 17:58:35 +02:00
LICENSE.txt Initial commit 2020-08-03 20:19:42 +02:00
noxfile.py Add CLI entry point umd 2020-08-04 21:14:40 +02:00
poetry.lock Add CLI entry point umd 2020-08-04 21:14:40 +02:00
pyproject.toml Add CLI entry point umd 2020-08-04 21:14:40 +02:00
README.md Initial commit 2020-08-03 20:19:42 +02:00
setup.cfg Add CLI entry point umd 2020-08-04 21:14:40 +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