{ Methodology of Sales Forecast Brenda Pérez Elizabeth Morales Viridiana Breceda Aimee Segovia.

Slides:



Advertisements
Similar presentations
Agenda of Week V. Forecasting
Advertisements

Slides 13a: Introduction; Qualitative Models MGS3100 Chapter 13 Forecasting.
Forecasting OPS 370.
Operations Management For Competitive Advantage © The McGraw-Hill Companies, Inc., 2001 C HASE A QUILANO J ACOBS ninth edition 1Forecasting Operations.
Chapter 5. MARKET MEASUREMENT BA L.P.Chew
7-1. McGraw-Hill/Irwin Copyright © 2005 by The McGraw-Hill Companies, Inc. All rights reserved. 7 Market Potential And Sales Forecasting.
Qualitative Forecasting Methods
Chapter 12 - Forecasting Forecasting is important in the business decision-making process in which a current choice or decision has future implications:
McGraw-Hill/Irwin © 2002 The McGraw-Hill Companies, Inc., All Rights Reserved. C H A P T E R Market Potential and Sales Forecasting 6.
Chapter 8. Organizational Demand Analysis BA L.P.Chew
Chapter 5 Forecasting. What is Forecasting Forecasting is the scientific methodology for predicting what will happen in the future based on the data in.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Forecasting Operations Chapter 12 Roberta Russell & Bernard.
International Marketing Research: Practices and Challenges
The Strategic Role of Information in Sales Management
Sales Forecasting Professor Lawrence Feick University of Pittsburgh.
Supply Chain Management (SCM) Forecasting 3
Business Forecasting Chapter 5 Forecasting with Smoothing Techniques.
Slides 13b: Time-Series Models; Measuring Forecast Error
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 11 Regression.
LSS Black Belt Training Forecasting. Forecasting Models Forecasting Techniques Qualitative Models Delphi Method Jury of Executive Opinion Sales Force.
Group No :- 9 Chapter 7 :- Demand forecasting in a supply chain. Members : Roll No Name 1118 Lema Juliet D 1136 Mwakatundu T 1140 Peter Naomi D 1143 Rwelamila.
Chapter 4 Forecasting Mike Dohan BUSI Forecasting What is forecasting? Why is it important? In what areas can forecasting be applied?
Demand Analysis & Sales Forecasting Dr. Dawne Martin Business Marketing October 11, 2011.
The Importance of Forecasting in POM
McGraw-Hill/Irwin Copyright 2006 by The McGraw-Hill Companies, Inc.
Demand Management and Forecasting
Forecasting Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
Sales Management 8 Estimating Demand. Time Sales 0 Market Potential Industry Forecast Company Potential Company Forecast (Industry Forecast ≤ Market Potential)
© Prentice Hall, Modern Management 9 th edition.
© The McGraw-Hill Companies, Inc., 1998 Irwin/McGraw-Hill 2 Chapter 13 Forecasting u Demand Management u Qualitative Forecasting Methods u Simple & Weighted.
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna Forecasting.
3-1 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved.
Forecasting MKA/13 1 Meaning Elements Steps Types of forecasting.
Forecasting Professor Ahmadi.
Operations Management For Competitive Advantage 1Forecasting Operations Management For Competitive Advantage Chapter 11.
MBA.782.ForecastingCAJ Demand Management Qualitative Methods of Forecasting Quantitative Methods of Forecasting Causal Relationship Forecasting Focus.
1-1 1 McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved.
Introduction – Addressing Business Challenges Microsoft® Business Intelligence Solutions.
Chapter 14 Inference for Regression AP Statistics 14.1 – Inference about the Model 14.2 – Predictions and Conditions.
Forecasting Operations Management For Competitive Advantage.
Demand Management and Forecasting Module IV. Two Approaches in Demand Management Active approach to influence demand Passive approach to respond to changing.
Operations Fall 2015 Bruce Duggan Providence University College.
1 1 Slide Forecasting Professor Ahmadi. 2 2 Slide Learning Objectives n Understand when to use various types of forecasting models and the time horizon.
Forecasting. 預測 (Forecasting) A Basis of Forecasting In business, forecasts are the basis for budgeting and planning for capacity, sales, production and.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
Developing Sales Forecasts. Sales Forecasts Objectives: Objectives: Determining sales force size. Determining sales force size. Designing territories.
Situational Analysis Understanding the Market Definition and Measurement.
Welcome to MM305 Unit 5 Seminar Prof Greg Forecasting.
Sales Management 8 Estimating Demand. Time Sales 0 Market Potential Industry Forecast Company Potential Company Forecast (Industry Forecast ≤ Market Potential)
FORECASTING Kusdhianto Setiawan Gadjah Mada University.
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Demand Management and Forecasting CHAPTER 10.
MARCH 15, 2012 MKGT 241 DR. DAWNE MARTIN Sales Forecasting.
MGS3100_03.ppt/Feb 11, 2016/Page 1 Georgia State University - Confidential MGS 3100 Business Analysis Time Series Forecasting Feb 11, 2016.
DEPARTMENT OF MECHANICAL ENGINEERING VII-SEMESTER PRODUCTION TECHNOLOGY-II 1 CHAPTER NO.4 FORECASTING.
CHAPTER 12 FORECASTING. THE CONCEPTS A prediction of future events used for planning purpose Supply chain success, resources planning, scheduling, capacity.
Copyright © 2004 by South-Western, a division of Thomson Learning, Inc. All rights reserved.Developed by Cool Pictures and MultiMedia PresentationsCopyright.
MBF1413 | Quantitative Methods Prepared by Dr Khairul Anuar 8: Time Series Analysis & Forecasting – Part 1
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 3 Forecasting.
Forecas ting Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
DEMAND FORECASTING METHODS Taken from: Taken from: „Demand Forecasting: Evidence-based Methods” by J. Scott Armstrong and Kesten C. Green.
DEMAND FORECASTING & MARKET SEGMENTATION. Why demand forecasting?  Planning and scheduling production  Acquiring inputs  Making provision for finances.
© Prentice Hall, © Prentice Hall, ObjectivesObjectives 1.A complete definition of a plan 2.Insights regarding various dimensions.
Welcome to MM305 Unit 5 Seminar Dr. Bob Forecasting.
Welcome to MM305 Unit 5 Seminar Forecasting. What is forecasting? An attempt to predict the future using data. Generally an 8-step process 1.Why are you.
Supply Chain Management for Non Supply Chain Management Professionals
6 C H A P T E R Market Potential and Sales Forecasting
Demand Management and Forecasting
Module 2: Demand Forecasting 2.
Forecasting Elements of good forecast Accurate Timely Reliable
Chapter 14 Inference for Regression
Presentation transcript:

{ Methodology of Sales Forecast Brenda Pérez Elizabeth Morales Viridiana Breceda Aimee Segovia

Popular methods are:  Jury of Executive Opinion Method  The Salesforce Estimation Method  Time Series Analysis Method Methods of sales forecasting.

 Appropriate managers within the organization assemble to discuss their opinions on what will happen to sales in the future.  Since these discussion sessions usually resolve around hunches or experienced guesses, the resulting forecast is a blend of informed opinions. A similar, forecasting method, which has been developed recently is called the DELPHI Method. Jury of Executive Opinion Method

 STEP 1 – Various Experts are asked to answer, independently and in writing, a series of questions about the future of sales or whatever other area is being forecasted.  STEP 1 – Various Experts are asked to answer, independently and in writing, a series of questions about the future of sales or whatever other area is being forecasted.  STEP 2 – A summary of all the answers is then prepared. No expert knows, how any other expert answered the questions.  STEP 2 – A summary of all the answers is then prepared. No expert knows, how any other expert answered the questions.  STEP 3 – Copies of summary are given to the individual experts with the request that they modify their original answers if they think it necessary.  STEP 3 – Copies of summary are given to the individual experts with the request that they modify their original answers if they think it necessary.  STEP 4 – Another summary is made of these modifications, and copies again are distributed to the experts. This time,however, expert opinions that deviate significantly from the norm must be justified in writing.  STEP 4 – Another summary is made of these modifications, and copies again are distributed to the experts. This time,however, expert opinions that deviate significantly from the norm must be justified in writing.  STEP 5 – A third summary is made of the opinions and justifications, and copies are once again distributed to the experts. Justification in writing for all answers is now required.  STEP 5 – A third summary is made of the opinions and justifications, and copies are once again distributed to the experts. Justification in writing for all answers is now required.  STEP 6 – The forecast is generated from all of the opinions and justifications that arise from step 5. DELPHI Method

 Predicts future sales by analyzing the opinions of sales people as a group.  Salespeople continually interact with customers, and from this interaction they usually develop a knack for predicting future sales.  Is considered very valuable management tool and is commonly used in business and industry throughout the world.  This method can be further improved by providing sales people with sufficient time to forecast and offering incentives for accurate forecasts.  Companies can make their sales people better forecasters, by training them to better interpret their interactions with the customers. Sales Force Estimation Method

 Predicts the future sales by analyzing the historical relationship between sales and time.  Although the actual number of years included in a time series analysis will vary from company to company, as a general rule, managers should include as many years as possible to ensure that important sales trends do not get undetected. Time Series Analysis Method

 Statistical Correlation Method  Computer Simulation Method Other complex sales forecasting methods

Time Series Analysis Method Example y = t + s + r then we can discover the trend on the basis of a least squares regression equation.