A multinational Fortune 50 energy company uses market analysts to forecast liquid natural gas (LNG) supply, demand, and pricing. To maximize revenues; it was essential for the company to make predictions accurately for specific global markets. Using the Maana Knowledge Platform™, these analysts were able to create a simulation knowledge application that enables them to analyze each geographic market, in any given month quickly, and determine the demand, supply, and best pricing to maximize revenue and meet contractual commitments.

Business Objective

The trade organization of this energy company wanted to identify incremental revenue by accurately predicting demand, supply and pricing for each specific market. To do so they wanted a more efficient way to enable market analysts to perform scenario analysis on the latest projections of LNG supply, demand, and pricing that would be impacted by market changes as well as a diverse set of external factors, such as weather, government policy, economic forecasts, and more.  

Business Challenge

The company currently trades in 10+ liquid natural gas markets. To determine demand and pricing for each market, the analysts relied on cumbersome manual data aggregation. Gathering data from 10 different external subscription sources they performed time-consuming analysis using complex spreadsheets. As a result, analysis took a tremendous amount of time and did not leverage all market data, such as stock price, political landscape data, and commodity trading regulations.

How Maana Helped

Using the Maana Knowledge Platform, the company created a simulation knowledge application that allows interactive exploration of demand, supply, and pricing using internal data from across silos, as well as real-time market data for all 10+ major LNG markets. Data is continuously and automatically updated– including consumer LNG consumption, market data, consumer confidence, weather predictions, industrial production, and historical shipment data – so that analysts can quickly and accurately predict demand, supply, and pricing for each market.

In addition to leveraging various internal and market data, the Maana Knowledge Platform was used to encode the expertise of the company’s market analysts and traders. Now, for any region or geographic market, an analyst can instantly:

  • See all supply, demand, inventory levels, and news related to that region
  • Drill down and get more details
  • Perform scenario modeling, examining the impacts of new information or alternate projections
  • Determine LNG delivery by month and supplier

Maana Knowledge Platform encodes human expertise and data from across silos

The Maana Knowledge Platform uses its patented knowledge graph and AI algorithms to dramatically accelerate creating knowledge models that enable the customer to perform scenario analysis for each geographic market, in each month, and given supplier attributes. Maana’s automated data mining, continually provides up-to-date market information with no manual effort and its machine learning algorithms improve forecast precision by actively updating models based on new incoming data.

The Maana Knowledge Application allows interactive exploration of data across all 10+ major LNG markets, using attributes such as:

Customs

  • Market
  • Delivery Year/Month
  • Country of Origin
  • Volume (metric tons)

Contract

  • Market
  • Country of Origin
  • Supplier Name
  • Supply Volume

Internal Systems

  • Market
  • Delivery Year/Month
  • Country of Origin
  • Supplier Name
  • Supply Volume

The Results

Now analysts can accurately predict demand by each market and use these insights to optimize pricing. Using the application, they can make better business decisions by quickly performing scenario modeling, examining the impacts of new market information or other projections on supply, demand, and pricing.

Energy Demand and Price Forecasting

Analysts are now using the Maana Knowledge Application for rapid scenario analysis by market

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