DESIGN AND IMPLEMENTATION OF A SALES FORECASTING SYSTEM USING LINEAR REGRESSION MODEL

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Sales Forecasting
  • 2.2Linear Regression Model
  • 2.3Previous Studies on Sales Forecasting
  • 2.4Factors Influencing Sales Forecasting
  • 2.5Data Collection for Sales Forecasting
  • 2.6Statistical Analysis Techniques
  • 2.7Technology in Sales Forecasting
  • 2.8Challenges in Sales Forecasting
  • 2.9Best Practices in Sales Forecasting
  • 2.10Future Trends in Sales Forecasting

Chapter THREE

SYSTEM DESIGN AND IMPLEMENTATION

  • 3.1Research Methodology Overview
  • 3.2Research Design
  • 3.3Sampling Techniques
  • 3.4Data Collection Methods
  • 3.5Data Analysis Procedures
  • 3.6Validity and Reliability
  • 3.7Ethical Considerations
  • 3.8Research Limitations

Chapter FOUR

SYSTEM TESTING AND EVALUATION

  • 4.1Data Analysis and Interpretation
  • 4.2Descriptive Statistics
  • 4.3Regression Analysis Results
  • 4.4Hypothesis Testing
  • 4.5Discussion of Findings
  • 4.6Comparison with Existing Models
  • 4.7Implications of Results
  • 4.8Recommendations for Practice

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Conclusion and Summary
  • 5.2Summary of Findings
  • 5.3Contributions to Knowledge
  • 5.4Practical Implications
  • 5.5Areas for Future Research

Project Abstract

The research work Sales -Forecasting System”  is a sales system using ‘point of sales ( POS ) technology to achieve its sales, accounting and linear regression model for sales forecast included in the system is the supplier registration and management, product registration and management, user management, customer management sales report, receipt printing and sales forecasting. This work was done as a result to solve the problems usually encountered in most companies. The Employee Management System was achieved using two programming environment PHP and MYSQL, with php as front-end and mysql as the backend database. The system can be entered using a username and password. It is accessible either by an administrator or staffs. The interface is very user-friendly. protected for personal use and the data processing is very fast.

Project Overview

1.1 GENERAL INTRODUCTION
Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. Sales forecasting is the ability to forecast future sales base on past months sales.Sales forecasting system uses several proven models such as qualitative versus quantitative model, average approach model, casual /econometrics forecasting model, linear regression model etc., these model are proven models use over the years by different financial institutes.1.2 INTRODUCTION
Chapter one introduces the research work and the problem definition of the research, and to know the aim of this research work, research justification tells us why it is important to research on this topic; it also covers areas like scope and limitation of study which entails the boundary of this work. Definition of terms gives summarize what each chapter entails.1.3 PROBLEM DEFINITION
This research work was undertaken to uncover some of the problems with conventional sales forecasting management systems. Where accountant has to calculate using a specific sales model formula in forecasting on a regular basis. Using these conventional method pose lots of constraint on sales forecasting as it takes lots of time forecasting using which ever model is adopted by the sales manager or accountant or financial adviser.
1.4. OBLECTIVE OF STUDY
In view of the problems mentioned above, this project is aimed at implementing a sales forecasting system using linear regression model and with an added POS system
  • Manage and forecast sales
  • Automate customer, product, supplier management on the system
  • Manage system access and roles on the system
  • Manage every users of the system
1.5. RESEARCH JUSTIFICATION  
This research work will provide a reliable way of handling sales and sales forecasting using linear regression model to forecast sales in and financial institution. Furthermore, it will aids structural document representation and eliminates the tedium of performing monotonous transaction. This research will also contribute to existing literature in this area and will serve as a guild or blueprint for an undergraduate student.1.6. RESEARCH METHODOLOGY
This research work “design and implementation of a “Sales Forecasting System” will be a web-based application and will be implemented on a relational database system (MySQL). Html (hypertext markup language), css (cascading style sheet) and Jquery will be used to design the web-user interface, php (hypertext preprocessor) will be used as the serve- side script language to link the interface and the database.
1.7. SCOPE AND LIMITATION OF STUDY
This research work is to develop a system capable of managing sales on a daily basis using a “Point of Sales (POS)” method and also, being able to forecast sales using linear regression model.
The system will not incorporate in its development all the models use for sales forecasting but will focus only on the aforementioned models and functionalities. The system will not be responsible for any loss of data if its environment (network/system installed on) is corrupt.1.8. CHAPTER LAYOUT
This section was put in place to explain what each chapter does, chapter one introduces the project to the reader by explaining the problems the project is supposed to solve, objective of the study and research justification is to describe to the reader the purpose and the importance of researching on this topic, research methodology is all about the method used in implementing the research work, scope and limitation describes the boundary of the research work and where the project work can be put into use.
Chapter two deals with the literature review and state-of-the-art. This chapter discusses literature review, what people have published related to this research work and their shortcoming, how this present research can improve their shortcomings.
Chapter three deals with the system design methodology i.e. collection of tools methods and practices for achieving a task; the requirement specification states the expectation of the system analysis, and design which is the blueprint of what the system would carry out.
Chapter four has to do with the implementation, system testing strategies, target computer system requirement, software maintenance etc.
Chapter five discusses the recommendations and conclusion part of the research work and how this work can be applied to the problem domain.

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