Abstract: Convenience Store Effectiveness Model (CSEM) is a self-contained PC application to quantitatively predict operational and financial impact of changes to Convenience Store (CStore) and Financial Services Center (FSC) operations. CSEM includes Simulation Analysis Module and Financial Analysis Module. Simulation Analysis Module includes FSC model and CStore model. CStore model predicts the effect of an unlimited number of changes in store design, customer demand patterns, and checkout procedures on store performance. Financial Analysis Module creates a Profit and Loss (P&L) statement showing cash flows, Net Present Value (NPV), and Internal Rate of Return (IRR) for deploying FSCs using simulation results or user input values. An analyst can use CSEM to provide a sound and quantified basis for developing a business case for investing in new technologies, i.e., FSC, or other design and procedure changes in a convenience store environment.

Abstract: The Post Office Effectiveness Model (POEM) is a self-contained PC desktop application enabling an analyst to quantitatively predict the operational and financial impact of changes to Post office (PO) and Automated Postal Center (APC) operations. This application, according to the present invention, includes a Simulation Analysis Module and a Financial Analysis Module. The Simulation Module consists of two simulation models: APC model and PO model. An analyst can use the PO model to predict the effect of an unlimited number of changes in post office design, customer demand patterns, and counter procedures on post office performance. The Financial Analysis Module allows the user to create a Profit and Loss (P&L) statement showing the cash flows, Net Present Value (NPV), Internal Rate of Return (IRR) for deploying APCs using simulation results or user input values. An analyst can use the POEM to provide a sound and quantified basis for developing a business case for investing in new technologies, i.e.

Abstract: The Convenience Store Effectiveness Model (CSEM) is a self-contained PC desktop application enabling an analyst to quantitatively predict the operational and financial impact of changes to Convenience Store (CStore) and Financial Services Center (FSC) operations. This application, according to the present invention, includes a Simulation Analysis Module and a Financial Analysis Module. The Simulation Module consists of two simulation models: FSC model and CStore model. An analyst can use the CStore model to predict the effect of an unlimited number of changes in store design, customer demand patterns, and checkout procedures on store performance. The Financial Analysis Module allows the user to create a Profit and Loss (P&L) statement showing the cash flows, Net Present Value (NPV), Internal Rate of Return (IRR) for deploying FSCs using simulation results or user input values.