Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines
For a business to be as successful as possible it needs a sound pricing strategy. A B2B environment allows the business more freedom to tailor each quote to maximize the performance.In order to do this, proper understanding of how probable a quote is to succeed is crucial. This work employs a statistical approach to predict the probability of acceptance based on historical data. Two different arch