top of page

/
Title: Predict Vessel Chartering Cost
Organization: Vale - IBM - Deloitte
Duration: 2018 to 2019
Business Challenges
The rate of material shipping (TC rate) is a dynamic parameter. This parameter plays a critical role in estimating the final material cost. There is an opportunity to build an integrated architecture and analytical platform that can provide business users with optimal decision capabilities based on a holistic overview of short-term supply, expected demand, and TC rate movement over the next 30 – 60 days. The TC rate prediction has been a critical challenge for the big mining companies that need to charter huge vessels to transfer their produced materials. Lack of accurate data and facing dynamic variables have made this challenge more complicated.
Suggested Solution
-
Integrated Cargo Demand Prediction and Global Vessel Movement data are housed on the same analytical data warehouse, Azure Synapse.
-
Integrated Supply and Demand analysis visualization on Power BI.
-
Future-ready and reusable architecture to house related supply and demand projects, such as TC Rate forecasting.
-
Providing intelligent suggestions based on AI for the users to reduce the cost of chartering.
bottom of page