Inventory Management System (Cloud Computing Project) - 10/2022
Use Node-RED and other cloud services and tools to develop a cloud-hosted application to assist with Inventory Management.
Node-RED NeCTAR IBM Cloud Services Microsoft Teams Teamwork Uni Project
Screenshots
Demo video
Overview
Purpose
This project aims to use Node-RED and other tools to develop a cloud-hosted application to assist with Inventory Management.
Functionality
- Manage stocks in the inventory of individual stores as well as the total number of stores
- Check for low-stock and nearly expired products at each store and notify store managers to make new orders
- Generate visual summaries of inventory products using charts and graphs for store managers and business owners
- Display product availability on the grocery store website using stock data to help customers check what products are available before coming to the store
- Incorporate a chatbot to assist customers with inquiries while visiting the store’s website.
Target audience
Small grocery stores with one or more stores that only sell in-store.
Technical details
Technologies and Tools used
| Tech/Tool | Usage |
|---|---|
| IBM Cloud Foundry | Deploy Node-RED app, IBM Cloudant |
| IBM Cloud Object Storage | Image storage |
| IBM Cloudant Database | Store Node-RED app data |
| IBM Watson Assistant | Develope Chatbot content |
| IBM Continuous Delivery | Auto deploy Node-RED app |
| Node-RED | Main Development environment |
| Nectar Cloud instance | Deploy Client site |
| VS Code | IDE |
| Microsoft Teams | Communication and collaboration |
Application components
- A Node-RED page for modifying functions of the application:
- Interacting with the database.
- Providing APIs for the Admin page and the Client page.
- Sending customized notifications on stock status to store managers.
- An Admin page for store managers and business owners to manage their inventory, including the following functions:
- Summaries for each store and all stores.
- Insights from the analyses of the movement of the products, including the best-selling and the most profitable products.
- Stock levels for each store.
- A Client page for customers to check out products of the grocery stores, including the following functions:
- See the products by category and by store with their price and availability.
- A Chatbot to help customers with their enquiries.
My contribution
- Actively participated in brainstorming sessions to generate ideas and suggestted solutions for the app’s functionalities
- Developed and implemented app functions to automatically send alert emails for low-stock and nearly expired products using
Node-RED - Collaborated with team members in building a Chatbot using IBM Watson Assistant
- Created and edited demo video using iMovie to showcase the app’s features and capabilities
- Maintained open communication with team members, regularly providing updates and feedback to ensure project success.
Source code
Unfortunately, this is a uni project and the source code cannot be shared due to academic integrity and intellectual property concerns.