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KFC invests in Geac MPC

5th Dec 2005
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High Street fast food giant selects Geac's performance management solution to help plan strategic operations -

LONDON, U.K., October 10th, 2005 ' Geac® (TSX:GAC and NASDAQ:GEAC), a global enterprise software company that addresses the needs of the Chief Financial Officer, has signed a contract with fast food giant Kentucky Fried Chicken (KFC) (Great Britain) for Geac MPC performance management software. Specifically, KFC (Great Britain) will implement Geac's planning solution, which is expected to go live at KFC in four months, running on Microsoft SQL Server. The application will integrate with KFC's JD Edwards ERP system and its Cognos reporting system.

Paul Brannan, Planning Manager for KFC (Great Britain), said: 'The new Geac MPC solution will provide us with a planning tool to create individual financial store plans with online contributions from our field based Operations teams. We will be able to quickly update plans as business needs change and model multiple scenarios to achieve key strategies.'

KFC (Great Britain) is set financial growth targets by its U.S. parent company which are then implemented in stores individually. Currently a top down company plan is constructed, followed by a bottom up store plan. This effectively extends the planning cycle and can result in disconnects. MPC will enable KFC to merge the two processes, saving time and ensuring alignment.

Geac MPC also offers sophisticated forecasting which will enable both rapid and accurate collection of plans. This is achieved by taking historic data and performing time series analysis to project the most likely trend based on previous trading patterns.

Paul Brannan concluded:
'We envisage Geac MPC making considerable improvements to our current planning process. Given the size of our business we needed to make a significant investment in technology. Using Geac MPC, we'll be able to streamline the process and dynamically change our stores' targets as our business needs change. MPC allows fast and easy scenario modeling which will save us considerable amounts of time, enabling us to spend more time driving insight from analysis.'

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