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Inventory Management System

"Simple Inventory Management System powered by Flask"

Table of Contents

Installation

Clone this repository:

$ git clone https://github.com/norberts1/inventory-management-system.git
$ cd inventory-management-system

This fork is based on git repository:

$ git clone https://github.com/gavindsouza/inventory-management-system.git

Install necessary dependencies

$ pip3 install -r requirements.txt

which is actually the same as

$ pip3 install flask

Overview

The index page or summary covers the summary of the system containing lists of products and location along with a count of unallocated products. On the products page, we can add/edit/remove products from the system. The location page covers similar functionality in the context of locations or warehouses. On the logistics page, movement of products can be performed. It also maintains the history of all transactions in a tabular form.

Usage

Starting Things Up

To run the application, change the current working directory to ~/inventory-management-system/inventory/

run the app by typing the following command(s) in your terminal

$ ./runinventory.sh

or alternatively use

$ cd inventory
$ python3 -m flask run

The application can be accessed at localhost:5000 in your browser

This view of the system can be accessed for demo purposes on installation, to start afresh remove thr inventory.sqlite file from the parent folder

Getting Into It

A new system will look like this

Adding Products and Locations

To add products, only the name and quantity are required Adding locations needs only the name to be added

Moving Things Around

Products can be moved into and between warehouses only after they have been added to the system

Moving into locations

Moving between locations

Editing Existing Information

Editing Product Information

Editing Location Information

Deleting Products and Locations on the System

Dependencies

  • Just Flask!

License

This code has been released under the MIT License.

See also: Original Sources on github

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  • HTML 51.6%
  • Python 48.1%
  • Shell 0.3%