Life Membrane Solutions: A Machine Learning-Based System for Demand Forecasting, Inventory Optimization and Profitability Analysis in Retail

Life Membrane Solutions, a machine learning system for demand forecasting, inventory optimisation and profitability analysis in retail.

Life Membrane Solutions, a machine learning system for demand forecasting, inventory optimisation and profitability analysis in retail. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to turn raw data into decisions: collecting and cleaning data, exploring it, modelling it and presenting the findings in a dashboard or report.

The main parts are data collection and cleaning, exploratory analysis and feature building, modelling and validation, and an interactive dashboard of the results. The reference build uses Python, Pandas, Apache Spark, and Power BI, with a clear project structure, setup instructions and sample data so that it can be run and extended.