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Optimizing an urban meal delivery platform
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Alexander Hess ebf16b50d9
Add Jupyter Lab environment 
- dependencies used to run the Jupyter Lab environment that are not
  required by the `urban-meal-delivery` package itself are put into
  an installation extra called "research"
- this allows to NOT install the requirements, for example, when
  testing the package in an isolated environment
2020-08-11 10:50:29 +02:00
.github/workflows Enable CI with GitHub Actions 2020-08-05 15:38:28 +02:00
docs Add technical documentation for the package 2020-08-05 01:44:29 +02:00
migrations Add database migrations 2020-08-11 10:29:58 +02:00
src/urban_meal_delivery Add database migrations 2020-08-11 10:29:58 +02:00
tests Add database migrations 2020-08-11 10:29:58 +02:00
.gitignore Fix the "clean-pwd" command in nox 2020-08-11 10:31:54 +02:00
.pre-commit-config.yaml Simplify the pre-commit hooks 2020-08-11 10:41:43 +02:00
alembic.ini Add database migrations 2020-08-11 10:29:58 +02:00
LICENSE.txt Initial commit 2020-08-03 20:19:42 +02:00
noxfile.py Simplify the pre-commit hooks 2020-08-11 10:41:43 +02:00
poetry.lock Add Jupyter Lab environment 2020-08-11 10:50:29 +02:00
pyproject.toml Add Jupyter Lab environment 2020-08-11 10:50:29 +02:00
README.md Initial commit 2020-08-03 20:19:42 +02:00
setup.cfg Add a branch reference fixer as a pre-commit hook 2020-08-11 10:35:18 +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