Digital Twin is a virtual replica of the in-service physical asset which mirrors the life and experience of the asset. At its core, the Digital Twin consists of sophisticated models or systems of models based on deep domain knowledge of specific industrial assets. It employs a collection of high-fidelity computational physics-based models and advanced analytics to forecast the health and performance of operating assets over their lifetime. Recently deployed Load Management System (LMS) Software package utilizes a floating platform Digital Twin model to assist platform personnel in maintaining a safe operating load condition of the vessel. LMS receives real time monitoring data from various sensors and processes the information to determine the optimum ballast tank water levels at a given time and assists the platform personnel in maintaining a safe operating load condition of the platform. Optimization is done by keeping certain parameters within their acceptable ranges such as tendon tensions, vessel offset and tilt while observing their hierarchical importance of each parameter.