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Sales Optimizer

The retail stores always face a problem of tension between demand and supply. Sometimes they stock more products than it has demand or sales and so…

231 lines🖥 Desktop only

View source folder on GitHub →contributed by

@rik-chatterjee

Sales Optimizer

Descirption

The retail stores always face a problem of tension between demand and supply. Sometimes they stock more products than it has demand or sales and sometimes they stock less than demand, due to which they either suffer from loss or dissatisfied customers. This problem can be solved using this software. It uses various inventory data to predict the sales pattern of the retail store so that the retail store can stock their products accordingly.

Parameters Used:

Item weight
Item fat content
Item fat content
Item visibility
Item type
Item MRP
Outlet establistment year
Outlet size
Outlet location.

Libraries Used:

Numpy
Pandas
Seaborn
Scikit-learn

How to run

pip install numpy pandas seaborn scikit-learn matplotlib
python main.py

Pyodide-runnable

No - it depends on seaborn, scikit-learn, and matplotlib GUI plotting, which are not available in the Pyodide sandbox.