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PROJECT TOPIC: DESIGN AND IMPLEMENTATION OF A COMPUTERIZED SALES FORECASTING SYSTEM (A CASE STUDY OF EASTERN SHOP NIGERIA LIMITED OGUI ENUGU, ENUGU STATE)

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CHAPTER ONE

INTRODUCTION

An accurate sales forecast helps you produce, store and ship your products more effectively. That’s why the computerized Sales Forecasting System, CSFS is the backbone to good customer service and operations planning. C.S.F.S. allows you to accurately predict future product sales based on past historical information and your future marketing plan. Computerized Sales Forecasting System uses artificial intelligence and powerful methodology to quickly create very accurate forecasts. The software gives you the ability to predict sales by customer, account group, channel, end-item SKU and package. Both weekly and daily forecasts are created with lightning speed, instantly updating on the screen. Some factors and methods used to determine the C.S.F.S. forecast include growth indexing, exponential smoothing, polynomial curve fitting, new product introductions, historic sales, pricing, promotions, seasons and holidays, as well as other factors defined by the user. C.S.F.S. helps increase your forecasting accuracy. The Microsoft Windows format makes C.S.F.S. forecasting system easy to learn and use. By implementing C.S.F.S. Sales Forecasting System now, you quickly achieve measurable improvements and realize these key benefits Forecasting is preparing of an organizational future objectives and its current material and personnel inventory, the general or departmental manager makes an estimate of the current material and human resources that will be able to do in the future and how many more human and material resources the organization must hire to meet its goals (Needle 1999:178)


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