A computerized method for optimizing a corporation' s real estate lease portfolio to reduce over-market leases, while at the same time helping to efficiently pick new lease locations that best meet corporate objectives. This system scores various potential new lease Comps in accordance with customer selected and weighted factors, including a novel set of Key Selected Driver factors that rate a building' s suitability to the customer' s needs, according to an algorithmic scoring system. The system also comprises a financial modeling section that extrapolates both projected present Site' s lease costs, inclusive of operating expenses and projected alternate locations (Comp' s) lease costs, inclusive of estimated operating expenses into the future, calculates projected savings, and presents the results in the form of a comparison to market benchmark. The system also determines the percentage of Utilization that the corporation is achieving compared against the maximum Capacity of their real estate.