Mrjarkos / DS4A_Project

Final Project

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Teaté Colombia S.A.S

Demand Forecast Per Manufacture

This is the repository for the Data Science For All Final Project

Instructions:

First clone this repository:

git clone https://github.com/Mrjarkos/DS4A_Project.git

In order to run the app locally, you need to install all the Python libraries needed:

pip install -r requirements.txt

Install gdal to view maps

sudo apt -y install gdal-bin python3-gdal

Finally run the application by running:

python3 index.py

Business Problem

The neighborhood shops are one of the most important sales channels in Colombia for fast-moving consumer goods, representing more than 50% of the total sales. Moreover, four out of five Colombian households buy their basic foods from these types of stores due to their offer of low prices and convenient products. However, these small businesses are highly inefficientthese businesses and their suppliers need tools that allow them to achieve greater efficiency in their operations. One of such tools is to have an accurate sales forecast that can help both the neighborhood shops and the product manufacturers optimize their supply chains and provide the required products at the right moment. This would allow them to achieve greater service levels and minimize their losses.

Code Structure

plotly-dash-multipage-template
│   index.py
|   app.py
|   data.py
|   auth.py
│
└───apps
│   │   About.py
|   |   Forecast.py
|   |   Geolocation.py
|   |   Home.py
|   |   Product.py
|   |   Store.py
|   |   Template.py
│   
└───models
    └───Geolocation
        └───geojson_data
|   |   |   |   Comunas_cali.geojson
|   |   |   |   Comunas_medellin.geojson
        └───Maps
|   |   |   |   Map.html
|   |   |   Store_Geo.csv
│   
└───scripts
│   │   utils.py
│   
└───assets
    └───css
    └───img
    └───js

Application Overview

FORECAST

STORE ANALYSIS

PRODUCT ANALYSIS

About

Final Project


Languages

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