From R scripts to shiny applications – use case in the spare parts business

The main benefits of using R compared to other languages are speed and handling of large data sets. That's the cause why we started the implementation of pricing models for one of our customers in R in 2010. Today, this customer runs a shiny server with eight shiny applications for more than 500 users. Image 1 depicts the architecture of the shiny applications and internal and external interfaces. The initial R script used different data sets to run mathematical models (cluster analysis and regression models) to evaluate a fair market value for surplus spare parts.