The current trend for ICT infrastructure is largely based on new architectures and paradigms, such as Cloud Computing and Virtual Machines (VMs). However, the complicated and obfuscated nature of the price structure across different Cloud Service Providers (CSPs) creates significant challenges for organisations in the quest for improved cost effectiveness and vendor lock-in avoidance. Existing comparison tools currently possess set price data but lack dynamic forecasting capabilities for custom VM builds. Organizations also need a systematic way of forecasting virtual machine expenses in various cloud services based on certain technical specifications. The disjointed nature of the cloud's pricing complicates infrastructure decisions, making informed choices difficult.