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StatoilHydro selects KSS for fuel price management and optimisation


Europe-wide Refiner-Marketer captures benefits of price automation and optimisation

Manchester, UK – October 24, 2007––KSS, the global leading supplier of pricing analytics, execution and optimisation systems to the petroleum industry, announced today that following extensive evaluation StatoilHydro energy and retail Europe, an operator of retail fuels outlets across several European countries, has selected the KSS PriceNet solution for fuel price management and optimisation.

StatoilHydro is using KSS PriceNet to enhance its pricing decisions, to implement those decisions more efficiently and to provide consistency, accountability and control with regard its fuel pricing processes. KSS PriceNet is the world’s leading fuel price management and optimisation solution and is used by more than 40 clients in 12 countries.

“We identified KSS PriceNet to support our approach to centrally managing our fuel operations and, following an extensive evaluation, we are delighted with the results and have taken the decision to implement. KSS PriceNet satisfies our need to more effectively manage information and data, enabling us to operate the network of outlets through an exception based, streamlined, and highly automated process,” said Guntis Aboltins-Abolins, Pricing Manager of StatoilHydro.

“StatoilHydro is leveraging KSS PriceNet to truly understand the complex dynamics of fuel pricing,” said Bob Stein, Chief Executive of KSS. “We are delighted to welcome StatoilHydro as a valued customer.”

KSS PriceNet is an end-to-end pricing solution supporting the key tasks and stakeholders involved in retail fuels pricing, from capturing field-based intelligence at the site level to the generation of price proposals via comprehensive pricing rules or optimisation to consistent and timely implementation. High levels of automation and an ‘exception-based’ approach ensure a rapid response to market conditions and allow pricing analysts to leverage the power of pricing analytics and automation.

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