Optimizing an urban meal delivery platform
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Urban Meal Delivery

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

Structure

The analysis is structured into the following stages that iteratively build on each other.

Data Cleaning

The UDP provided its raw data as a PostgreSQL dump. This notebook cleans the data extensively and maps them onto the ORM models defined in the urban-meal-delivery package that is developed in the src/ folder and contains all source code to drive the analyses.

Due to a non-disclosure agreement with the UDP, neither the raw nor the cleaned data are published as of now. However, previews of the data can be seen throughout the notebooks/ folders.

Real-time Demand Forecasting

Predictive Routing

Shift & Capacity Planning

Installation & Contribution

To play with the code developed for the analyses, you can clone the project with git and install the contained urban-meal-delivery package and all its dependencies in a virtual environment with poetry:

git clone https://github.com/webartifex/urban-meal-delivery.git

and

poetry install --extras research

The --extras option is necessary as the non-develop dependencies are structured in the pyproject.toml file into dependencies related to only the urban-meal-delivery source code package and dependencies used to run the Jupyter environment with the analyses.

Contributions are welcome. Use the issues tab. The project is licensed under the MIT license.