Ufuk Altan

As the technology improves it becomes more crucial in the transportation industry to determine a way to make better decisions. In terms of pricing, regression or time series forecasting models can be performed. However, when price optimization is considered, it is important to measure the price elasticity of the demand for each product. In transportation industry, demand is constantly altering. It is a big challenge to manage products, track different KPIs and make decisions simultaneously. Therefore, a big data tool like apache spark and a reporting technology like plotly can provide long term solutions. This article explains a data processing progress for spanish railway data, a price optimization model using spark and the plotly library of python for reporting through a dashboard.