Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales

TL;DR

This paper develops a simulation model for an interactive presentation system with a recommender, analyzing profitability and discount strategies through extensive Python simulations.

Contribution

It introduces a simulation-based model for optimizing discounts in an interactive kiosk system with a recommender, addressing profitability conditions.

Findings

90 million simulations conducted in Python

Insights into discount recommendations based on user interactions

Model helps optimize profitability of interactive presentation systems

Abstract

The main purpose of this article was to create a model and simulate the profitability conditions of an interactive presentation system (IPS) with the recommender system (RS) used in the kiosk. 90 million simulations have been run in Python with SymPy to address the problem of discount recommendation offered to the clients according to their usage of the IPS.