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Gas logistics optimization

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Gas logistics optimization is more than just moving molecules
Why this gas logistics optimization challenge?
Gas logistics optimization. Procure low-cost gas during the summer, optimize underground storage capacity, manage trade-offs between suppliers and infrastructure, reduce procurement costs, and efficiently route gas to delivery points.
Key benefits
From cost optimization to operational excellence

Integrating procurement, storage, and logistics decisions into a single framework enables cost reduction, operational efficiency, and scalable growth across markets.

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End-to-end view of the business

Providing visibility on operational constraints and contract flexibility needs.

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Fully automated workflow

Reducing errors and allowing to avoid congestions or imbalances.

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Expanding operations

Marginal effort to expand operations into new geographies: the use of agentic-AI simplifies the onboarding, the exchange of information with new market participants and players..

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Fast response

Time-to-market, reducing the response time in case of an issue or outage appear, alternative scenarios can be analysed and executed rapidly.

How NTT DATA helps

01
ETRM

Capture your existing contracts (both energy and capacity). Define the different services you will use from pipeline and terminal operators. Size the LNG and underground storages you need.

02
LNG logistics tool

Simulate different logistics scenarios and evaluate the costs and capacity contracts usage. Identify congestion points and capture location and time spreads. Run algorithms to reach the target function (less costs, maximize delivery, fill the storage…). Optimize storage valuation

03
Nominations tool

Once your balance actions are confirmed, you need to exchange the information with the Terminal operators, TSO’s, DSO’s and municipalities to make it happen.

04
Agentic IA

By the use of agents, it is possible to automate data capture, data reconciliation, execute validations, get recommendations on capacity optimization and strategy definition and reduce imbalance in the continuous markets. It can be also used for regulatory reporting (REMIT, imports, security inventory…)

Constraints for Algo trading
Develop advanced NLP classification models
Proven impact
Securing competitive gas prices, maximizing storage, and routing supply efficiently, all while adapting to local market realities.
Results that matter
Operational Benefits
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Reduced procurement costs

Up to -20% procurement costs based on strategic planning and simulations.

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Reduced operational costs

10% reduction in operational costs by the reduction of imbalances and physical spot transactions.

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Reduced night shift work

The majority of the companies can reduce night shift by the usage of agents.

Optimized gas logistics mean lower procurement costs, reduced operational risks, and more confidence for energy companies and their teams.
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