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Web Application for smart inventory management.

Python 42.76% HTML 54.82% JavaScript 2.43%
python3 flask-application firebase sqlite-database sql machine-learning

automatic-ordering-system's Introduction

Automatic Ordering for Smart Inventory Management

forthebadge made-with-python


Most of the organizations have a separate department or job function called inventory planners who continuously monitor, control and review inventory and interface with production,procurement and finance departments. Large sales organizations handle enormous number of products and it is hard to manually keep track of demand and availability of each product. So, in this project we aim to create a system that can analyse sales data and predict future sales demand for all the products in the inventory using Machine Learning Techniques, and automatically place orders for product shipments if the inventory stock will not be able to meet the predicted demand.

Built Using:

  • Frame Works

    Falsk Keras
  • Web Application

    Python HTML5 CSS3 JavaScript
  • DataBase

    MySQL Firebase
  • Version Control

    Git GitHub

Pre-Requisites

pip3 install flask pyrebase sqlite3 keras pandas

Contributors

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