By gathering data across capacity, storage and port operations that impact the supply chain and carbon footprint, Dataloy reports that it can incorporate information more visually and concretely to understand the impact these inputs have on assets, ballast, KPIs, and more. From there, customers can evaluate sustainable alternatives and construct the most intelligent decisions that reduce emissions.
The funding supports research for a three year period in the areas of:
- Cargo Scheduling
- Emission Control and Improvement
- Capacity and Storage Forecasting and Planning
- Traceability from Decision to Result
- Optimisation and Planning Algorithms
- Optimisation of Port Operations
- Support of the Customer’s Digitalisation Process
The research project aims to provide tools for optimal voyage planning to improve cargo operations’ efficiency and profitability by ensuring all current capacities are operating at a 100-per cent efficiency via transport consolidation and thereby reducing emissions.
Dataloy reports that the shipping industry will benefit from:
- Reduced overall shipping costs
- Increased transported cargo quantity
- Minimised emissions, which are beneficial as government regulations, are becoming more stringent for shippers
- A greater understanding of flexibilities and risks in planned and ongoing operations
- Improved efficiency in cargo booking and minimised missed laycans
The increased focus on sustainability adds complexity to determining the best supply chain response, but digitalisation and advanced software algorithms can help manage this business challenge, states Dataloy.
The research project aims to leverage a solution that can use real-time information to identify potential efficiencies in capacity utilisation, storage integration and create a more executable plan that decreases emissions for building a sustainable supply chain.