Maritime Use Cases
We enable maritime organizations deliver an interoperable data efficient ecosystem and gain a competitive advantage through advanced analytics with tailored supply chain planning & optimization solutions. With our wealth of industry knowledge and experience we support numerous maritime use cases.
Run different capacity scenarios
Realize a more efficient and optimal cargo load for all voyages and make sure all cargo arrives on schedule. Many organizations are facing volatile capacity demands, resulting in dynamic and complex planning and scheduling processes.
Voyage planning, tonnage planning, vessel scheduling and allocation management are all part of these processes. Planners would like to have the ability to run diverse capacity scenarios, which enables them to understand the impact of specific cargo arrangements and vessel allocation changes.
Meaningful information on capacity requirements, the exact vessel size should be available for each line/trade to optimize costs, while respecting customer requirements on capacity and transit times.
How to bring this all together in one integrated planning to make the right decisions?
Numerous supply chain analytics use cases for maritime in whatever category you may need support:
Assets, Demand, Process and Performance
Solve Disruptions & Reduce Idle Time
How to better handle tonnage & voyage planning as well as operational planning to decrease operational costs?
How to handle a wide-range of process complexities and realize real-time and collaborative planning including the ability to conduct scenario-based planning and be able to quickly respond to disruptions?
We have a strong market recognition of building optimal, transparent and up-to-date planning for all vessels within a company. This has increased average load factors and facilitated stronger insight into planning processes and better on-time performance for cargo loads. We also optimize container logistics and port operations, resulting in gains directly to the bottom-line.
Advanced Analytics for Maritime
A glimpse into our numerous advanced analytics use cases for maritime divided into 4 categories: Assets, Demand, Process and Performance
Automated damage detection
Camera footage to scan cargo and trucks for damage detection and automatic administration
Trip defficiency detecting
Use pattern recognition to find causalities of routing inefficiencies
Tailored maintenance scheduling
Pattern recognition to predict when transport logistics need maintenance on a unit by unit basis
Real-time demand visibility
Sensor and event data to visualize and analyse the flow of orders through the network
Self learning demand planning
Predict demand based on self learning models that learn directly from the day-to-day situation
Incorporate all available data (sensors/actuals) from customers to be better prepared
Data driven contracting
Flexible contracting based on actual data for a better fit with operations
Advanced predictions of ETA/ETD for real-time scheduling adjustments
Interactive and advanced dashboarding that allow monitoring of the data ambition
Discover analytical KPI’s that pave the way for data driven decision making
Improve KPI’s and increase business value by combining different data sources
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With a turnover of 2.5 billion euros and 8.9 billion revenue tonne-kilometres in 2019, Lufthansa Cargo is one of the world’s leading companies in the transport of air freight. The company currently employs about 4,500 people worldwide.
DSV wants to be a leading global supplier, fulfilling customer needs for transport and logistics services, targeting extensive growth and being among the most profitable in our industry.