lorenzenv/Supermarket-Simulation

Modeling and visualization of the movement of supermarket visitors based on real customer data.

Supermarket Simulation

Modeling and visualization of the movement of supermarket visitors based on real customer data.

This project uses

• Monte-Carlo Simulation
• Markov-Chain Modeling and
• the Pygame library

to predict movement of customers based on previously captured data. By creating two transition matrices, we can predict the probability of customers to move to a different section of the supermarket while also taking into account the time of the day.

It was written in week 8 of the Spiced Data Science bootcamp in Berlin.

Visualization of simulated customer-movement:

EDA:

Files

• eda_and_transition_matrix.ipynb: EDA and creating of transposition matrices
• customer_simulation.ipynb: Simulation and prediction of customer behavior
• supermarket_visual.py: Visualization of simulated customer-movement