• Post category:StudyBullet-3
  • Reading time:14 mins read

What you will learn

Deploy a could based Inventory application.

reduce stock cost and increase service level

Inventory Management.

Algorithm Development

Connecting to Database



Scheduling algorithms



Network Configurations


This is a project based course that will be a part of many courses on the same topic; in this Project,Mango Incorporation is hiring you to optimize their stock replenishment and automate the process for them. you will have to investigate their data and give them a real-time working solution”

Do you work in Inventory Control/ Procurement ?

Are you involved in taking supply chain decisions?

Did you ever wonder how inventory concepts work in real life?

Do You want to make a complete end to end inventory solution for you business/company?

Do you want to work as a consultant for supply chain?

…… you have come to the right place πŸ™‚

Rescale analytics- A data driven supply chain consultancy and a solution provider- Developed The highest rated courses in supply chain analytics and Data science with Python and R and till now it is still the only comprehensive course on theΒ  shows how to take data driven supply chain decisions with data science with Amazing feedback from students !!

with this course, Based one students demand.we take it one step further; we combine Supply chain , Devops and Data science to make a comprehensive inventory course for you.

Don’t worry If you don’t know how to code, we learn step by step by applying supply chain analysis!

*NOTE: Full course includes downloadable resources and R project files, Setup Codes, lifetime access, and a 30-day money-back guarantee.

in this course you will be able to:

* Deploy a could based Inventory application.

* Inventory Management techniques to be applied inΒ  real-time in a Dynamic Environment

* Stock Algorithm Development and Automation.

* Connecting to remote Database .

* Know how to setup the server where you deploy the inventory algorithm.

Get Instant Notification of New Courses on our Telegram channel.

* Know how to setup network configurations between multiple servers.

* Make you app accessible through the internet.

Happy Supply Chain mining!


Rescale Analytics

Feedback from Clients and Training:

“In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.

I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management.”

Shailesh Mendonca

Commercial lead-in Adventure AHQ- Sharaf Group

β€œ Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham’s analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group”

Saify Naqvi

Head of Supply Chain Efficiency

β€œI participated to the training session called “Supply Chain Forecasting & Management” on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in simple way. I highly recommend this training.”


Purchasing Manager at Mineral Circles Bearings



Why this course is Different?
About RA
Why R?
Application dynamics
Supply chain applications
Welcome to the world of R
Welcome to R
What is R statistical language
How to install R?
How to install Rstudio?
A walkthrough toutrial
Setup your Project
Install Packages!
R programming fundmentals
Different Data Structures and types in R
Do arithmetic Calculations in R and write Vectors
Creating a list.
Importing data in R and basic explorations.
Selecting data in a dataframe
If Else function
Functions with conditions
For loops
Applying a function inside a forloop
For loop on a data-frame
Applying a function on a dataframe
Assignment section4 answer part1
Assignment section 4 part 2
Manipulation on a dataframe
Intro to Dplyr
Investigate with Dplyr
Unique invoices
Average invoice value per country
Average Number of items within an invoice
Changing date time to date
Pivot Wider
Pivot longer
Separate and Paste
Putting it all together
Assignment New-work Airlines
Assignment question 1 answer
Assignment Question 2 & 3 answer
Assignment Question 5,6 and 6 answer
Assignment Question 7
Shiny Basics
Installing packages
First shiny application
Our first UI
Input and output
Reactive app
Fibonacci assignment
Fibonacci sequence assignment
Declarative and imperative programming
Getting unique identifiers
User interface
App Structure
Date reactivity
Country and SKU reactivity
Line Plots
Application Running
Preparing for Inventory Algorithm
Database for inventory
Download for SqlServer
Installation of mySQL server and mySQL workbench
Initializing database
Preparing. for Database
Preparing the Data
Filtering Stocks
Sending Stocks and sales
Algorithm assumptions
Purchase Orders
Connect to Database
Fetching realtime data
Inventory Algorithm
Creating a unique Key.
Parsing Dates
Defining Seasonality
Beginning, ending and Receiving inventory
Beginning and ending inventory
Calculating stock status
Total Requested and Current stock
ABC with Inventorize
Demand Lead-time and Policy explanation
Inventory Calculations
Adjusting for seasonality
Service level
Reordering quantity
Finalizing Algorithm
Last stock on hand date
Sending Algorithm to Database
Inventory App
What should be in an Inventory app?
Key Input
Mango Stock User Interface
Managing user Input
Inventory Turns and Margin
Top Sales/ Revenue
PieChart and Downloading Files
Finalizing Tab1
Alarms Logic
Alarms Page
Categories Page
Overview of categories page
Application’s Overview
Scheduling the Algorithm
Debugging Part1
Verifying Output
Azure Free account
Deploying a virtual machine
Setting up Server
Rstudio Server
Essential Libraries
Shiny server
Remote Database Connection
Is Everything working ?
Sudo R packages installation
SQL server
Setting up a new virtual machine
Connecting a virtual machine
Installing libraries
Mysql Configuration
Creating a database
Final Message