SlideShare a Scribd company logo
1 of 19
Prepared by: Hardik Anghan
Keval Patel
Jay Jasani
Sandip Dobariya
Demand Forecasting
Demand
Forecasting…
It is the activity of estimating
the quantity of a product or
service that consumers will
purchase.
All forecast are built on…
 What people Say:
Involves surveying the opinions of buyers
or those closed to them.
 What people do:
Putting the product Into a test market to
measure buyers response.
 What people Have done:
Involves analyzing records of past buying
behavior or using time series analysis or statiscal
demand analysis.
Demand
Forecast
Survey of
Buyers’
Intentions
Composite
of Sales
Force
Opinions
Expert
Opinion
Past-Sales
Analysis
Market-
Test
Method
Survey Of Buyers’ Intention
 This forecasting is the
art of anticipating
what buyers are likely
to do under a given
set of condition. Because buyers behavior is so
important, buyers should be Surveyed.
 For major consumer durables, several research
organizations conduct periodic surveys of
consumer buying intentions.
Composite of sales force
opinions
 In this method the sales forecasting
is done bye the sales force.
 Each salesman develops the
forecast for his respective territory.
 The territory wise forecast are
consolidated at each branch area
level and the aggregate of all these
forecasts is taken as the corporate
forecast.
 When buyer interviewing is impractical, the
company may ask its sales representative to
estimate future sales, each sales representative
estimate how much each current and prospective
customer will buy of each of company's product.
 Few companies use sales force’s estimates
without making some adjustments, as they may
be pessimistic or optimistic.
 Or they might go from one extreme to another
because of a recent setback or success.
Advantages
1)The salesman are closest to
the customers and ate able to
judge their minds and thus
the market more correctly.
2) Have greater stability and
reliability because of the largeness of the
sample.
3)The forecast derived by this method could be
easily and meaningfully broken down-territory-
wise,product-wise,customer-type-wise and month-
wise etc
Disadvantages
 Salesmen are certainly not experts in forecasting,
they cannot use sophisticated techniques.
 Since their sales quotas are to be based on their
sales forecasts, they may tend to underestimate
demand and play it safe
 They may not known the changes taking place in
the economy and the given industry which may
be necessary to predict the future.
Expert Opinion:
 In this type of survey method
company takes suggestions form
the experts in concerned field of
inside or outside of the
organization .
 The opinions of outside expertise
mat include opinions given by:
1. News papers
2. Trade journals
3. Opinions of wholesalers &
distributers, suppliers
4. Trade associations
5. Marketing consultants
6. Or professional experts
Expert Opinion
 The specialist are able to make better economic
forecast because they have more data available
and more forecast data available.
 Occasionally, companies will invite the group of
experts to prepare a forecast.
 They will exchange their views on products and
produce a group estimates or forecast.
 By analyzing this opinions company can forecast
about its product.
Expert Opinion:
Advantages Disadvantages
1. Forecast can be
made easily and
speedily.
2. It is more accurate.
3. It is useful when
past record of sales
is not available.
4. Expense of this
method is much less
than other methods
of forecasting
1. The main
disadvantage is the
reliability of
forecasting is
doubtful because it
is based on opinions
and suggestions
and not on actual
facts.
Past Sales Analysis
 Sales forecasts can be developed
on the basis of past sales.
 One of the method of this is
"Time Series Analysis".
 Time series Analysis consists of
Breaking down past time series into
four components as per below. 1.trend
2.cycle
3.seasonal
4.erratic
0 1 2 3 4 5 6 7 8 9 10
Years
80
70
60
50
40
30
20
10
Time Series Analysis
Actual Projected
0 1 2 3 4 5 6 7 8 9 10
Years
80
70
60
50
40
30
20
10
Analogous Product
New Product
Time Series Analysis
Analogous Products
 After this, projecting the next period's sales by
combining an average of past sales and the most
recent sales.
 Statistical methods of forecasting ,project historical
information into the future.
 statistical methods of forecasting are based on the
assumptions that future patterns tend to be
expansions of past ones and that one can make
useful predictions by studying the past behavior.
 Eg: One might forecast that next year sales
would be a function of sales in the existing
year or alternately next year sales would be
a function of this year’s sales and the
change in sales between this year and last
year.
One of the examples of past sales analysis.
Market-Test Method
 when buyers do not plan their
purchase carefully or experts are
not available or reliable, a direct -
market test is desirable.
 A direct market test is especially
desirable in forecasting new
product sales or established
product sales in a new distribution
channel.
Thank You!

More Related Content

What's hot

Demand Forecasting
Demand ForecastingDemand Forecasting
Demand Forecasting
Anupam Basu
 
Demand forecasting
Demand  forecasting Demand  forecasting
Demand forecasting
Rohit Parkar
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
jyyothees mv
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
Akshismruti
 
Demand forecasting and its methods
Demand forecasting and its methodsDemand forecasting and its methods
Demand forecasting and its methods
Shubha Brota Raha
 
Demand forecasting.
Demand forecasting.Demand forecasting.
Demand forecasting.
Akash Bharti
 

What's hot (20)

Demand forecasting ppt
Demand forecasting pptDemand forecasting ppt
Demand forecasting ppt
 
demand forecasting techniques
demand forecasting techniquesdemand forecasting techniques
demand forecasting techniques
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Demand Forecasting
Demand ForecastingDemand Forecasting
Demand Forecasting
 
6 Demand forecasting
6 Demand forecasting6 Demand forecasting
6 Demand forecasting
 
demand forecasting
demand forecastingdemand forecasting
demand forecasting
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
DEMAND FORECASTING - Managerial economics
DEMAND FORECASTING - Managerial economicsDEMAND FORECASTING - Managerial economics
DEMAND FORECASTING - Managerial economics
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Demand forecasting
Demand  forecasting Demand  forecasting
Demand forecasting
 
Demand Forecasting
Demand ForecastingDemand Forecasting
Demand Forecasting
 
Demand forecasting methods ppt bec bagalkot mba
Demand forecasting methods ppt bec bagalkot mbaDemand forecasting methods ppt bec bagalkot mba
Demand forecasting methods ppt bec bagalkot mba
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Introduction to demand forecasting
Introduction to demand forecastingIntroduction to demand forecasting
Introduction to demand forecasting
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Demand forcasting
Demand forcastingDemand forcasting
Demand forcasting
 
Demand forecasting and its methods
Demand forecasting and its methodsDemand forecasting and its methods
Demand forecasting and its methods
 
Managerial Economics- Demand Forecasting PPT
Managerial Economics- Demand Forecasting PPTManagerial Economics- Demand Forecasting PPT
Managerial Economics- Demand Forecasting PPT
 
Demand forecasting by Sachin Bhurase
Demand forecasting by Sachin Bhurase Demand forecasting by Sachin Bhurase
Demand forecasting by Sachin Bhurase
 
Demand forecasting.
Demand forecasting.Demand forecasting.
Demand forecasting.
 

Viewers also liked

Tea in india demand and supply
Tea in india demand and supplyTea in india demand and supply
Tea in india demand and supply
Udayan Sikdar
 
Demand Estimation of Maruti Suzuki Swift
Demand Estimation of Maruti Suzuki SwiftDemand Estimation of Maruti Suzuki Swift
Demand Estimation of Maruti Suzuki Swift
Karan Jaidka
 
Pakistan telecommunication company limited assignment
Pakistan telecommunication company limited assignmentPakistan telecommunication company limited assignment
Pakistan telecommunication company limited assignment
Ali Shah
 
Hrm practices at telenor
Hrm practices at telenorHrm practices at telenor
Hrm practices at telenor
Kamran Arshad
 

Viewers also liked (15)

Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Demand forecasting of Cadbury
Demand forecasting of Cadbury Demand forecasting of Cadbury
Demand forecasting of Cadbury
 
RTBforum - Future with MetaDSP - Nicolas Beguin
RTBforum -  Future with MetaDSP - Nicolas BeguinRTBforum -  Future with MetaDSP - Nicolas Beguin
RTBforum - Future with MetaDSP - Nicolas Beguin
 
Tea in india demand and supply
Tea in india demand and supplyTea in india demand and supply
Tea in india demand and supply
 
Demand Estimation of Maruti Suzuki Swift
Demand Estimation of Maruti Suzuki SwiftDemand Estimation of Maruti Suzuki Swift
Demand Estimation of Maruti Suzuki Swift
 
Forecasting lessons from FMCG aisles
Forecasting lessons from FMCG aisles   Forecasting lessons from FMCG aisles
Forecasting lessons from FMCG aisles
 
A Five Step sales forecasting tool for food businesses
A Five Step sales forecasting tool for food businessesA Five Step sales forecasting tool for food businesses
A Five Step sales forecasting tool for food businesses
 
Pakistan telecommunication company limited assignment
Pakistan telecommunication company limited assignmentPakistan telecommunication company limited assignment
Pakistan telecommunication company limited assignment
 
Ptcl
PtclPtcl
Ptcl
 
Hrm practices at telenor
Hrm practices at telenorHrm practices at telenor
Hrm practices at telenor
 
Power of metrics in achieving supply chain excellence ibf
Power of metrics in achieving supply chain excellence   ibfPower of metrics in achieving supply chain excellence   ibf
Power of metrics in achieving supply chain excellence ibf
 
Demand forecasting 12
Demand forecasting 12Demand forecasting 12
Demand forecasting 12
 
A project report on demand estimate of milk for institutional sales, in dharwar
A project report on demand estimate of milk for institutional sales, in dharwarA project report on demand estimate of milk for institutional sales, in dharwar
A project report on demand estimate of milk for institutional sales, in dharwar
 
INDIAN TEA MARKET
INDIAN TEA MARKET INDIAN TEA MARKET
INDIAN TEA MARKET
 
Dell case study (management)
Dell case study (management)Dell case study (management)
Dell case study (management)
 

Similar to Demand forecasting

Demand estimating and forcasting
Demand estimating and forcastingDemand estimating and forcasting
Demand estimating and forcasting
Muntaquir Hasnain
 
How To Do A Marketing Plan
How To Do A Marketing PlanHow To Do A Marketing Plan
How To Do A Marketing Plan
kevinhuynh
 
Sales forecasting
Sales forecastingSales forecasting
Sales forecasting
Wish Mrt'xa
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
Parul Gupta
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
Parul Gupta
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
Parul Gupta
 
Forecasting And Decision Making
Forecasting And Decision MakingForecasting And Decision Making
Forecasting And Decision Making
Vikash Rathour
 

Similar to Demand forecasting (20)

Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
SLE ECONOMICS
SLE ECONOMICS SLE ECONOMICS
SLE ECONOMICS
 
Sales forecasting
Sales forecastingSales forecasting
Sales forecasting
 
Sales forecasting
Sales forecastingSales forecasting
Sales forecasting
 
Mkt
MktMkt
Mkt
 
Demand estimating and forcasting
Demand estimating and forcastingDemand estimating and forcasting
Demand estimating and forcasting
 
sales forecasting.pptx
sales forecasting.pptxsales forecasting.pptx
sales forecasting.pptx
 
How To Do A Marketing Plan
How To Do A Marketing PlanHow To Do A Marketing Plan
How To Do A Marketing Plan
 
Forecasting
ForecastingForecasting
Forecasting
 
bhel forcasting
bhel forcasting bhel forcasting
bhel forcasting
 
Demand Estimation and Forecast
Demand Estimation and ForecastDemand Estimation and Forecast
Demand Estimation and Forecast
 
Sales forecasting
Sales forecastingSales forecasting
Sales forecasting
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
 
Big bazar final synopsis
Big bazar final synopsisBig bazar final synopsis
Big bazar final synopsis
 
Forecasting And Decision Making
Forecasting And Decision MakingForecasting And Decision Making
Forecasting And Decision Making
 
Sales Management - Unit-1.pptx
Sales Management - Unit-1.pptxSales Management - Unit-1.pptx
Sales Management - Unit-1.pptx
 
Demand Forecasting in the restaurant management
Demand Forecasting in the restaurant managementDemand Forecasting in the restaurant management
Demand Forecasting in the restaurant management
 
Marketing Research, Applications of Product Development and Test Marketing, S...
Marketing Research, Applications of Product Development and Test Marketing, S...Marketing Research, Applications of Product Development and Test Marketing, S...
Marketing Research, Applications of Product Development and Test Marketing, S...
 

More from Keval Patel (11)

Build your first android things application
Build your first android things applicationBuild your first android things application
Build your first android things application
 
Decrease build time and application size
Decrease build time and application sizeDecrease build time and application size
Decrease build time and application size
 
Contributor Qualities
Contributor QualitiesContributor Qualities
Contributor Qualities
 
Views and environment of management
Views and environment of management Views and environment of management
Views and environment of management
 
White revolution
White revolutionWhite revolution
White revolution
 
Control of dc drives
Control of dc drivesControl of dc drives
Control of dc drives
 
Wave guide tees
Wave guide teesWave guide tees
Wave guide tees
 
Various types of data recorders
Various types of data recordersVarious types of data recorders
Various types of data recorders
 
Transition from 1G to 4G
Transition from 1G to 4GTransition from 1G to 4G
Transition from 1G to 4G
 
Log periodic antenna
Log periodic antennaLog periodic antenna
Log periodic antenna
 
Dsp application on mobile communication
Dsp application on mobile communicationDsp application on mobile communication
Dsp application on mobile communication
 

Recently uploaded

Brand experience Dream Center Peoria Presentation.pdf
Brand experience Dream Center Peoria Presentation.pdfBrand experience Dream Center Peoria Presentation.pdf
Brand experience Dream Center Peoria Presentation.pdf
tbatkhuu1
 
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
dollysharma2066
 

Recently uploaded (20)

Martal Group - B2B Lead Gen Agency - Onboarding Overview
Martal Group - B2B Lead Gen Agency - Onboarding OverviewMartal Group - B2B Lead Gen Agency - Onboarding Overview
Martal Group - B2B Lead Gen Agency - Onboarding Overview
 
Brighton SEO April 2024 - The Good, the Bad & the Ugly of SEO Success
Brighton SEO April 2024 - The Good, the Bad & the Ugly of SEO SuccessBrighton SEO April 2024 - The Good, the Bad & the Ugly of SEO Success
Brighton SEO April 2024 - The Good, the Bad & the Ugly of SEO Success
 
LinkedIn Social Selling Master Class - David Wong
LinkedIn Social Selling Master Class - David WongLinkedIn Social Selling Master Class - David Wong
LinkedIn Social Selling Master Class - David Wong
 
Major SEO Trends in 2024 - Banyanbrain Digital
Major SEO Trends in 2024 - Banyanbrain DigitalMajor SEO Trends in 2024 - Banyanbrain Digital
Major SEO Trends in 2024 - Banyanbrain Digital
 
The Future of Brands on LinkedIn - Alison Kaltman
The Future of Brands on LinkedIn - Alison KaltmanThe Future of Brands on LinkedIn - Alison Kaltman
The Future of Brands on LinkedIn - Alison Kaltman
 
Branding strategies of new company .pptx
Branding strategies of new company .pptxBranding strategies of new company .pptx
Branding strategies of new company .pptx
 
Cash payment girl 9257726604 Hand ✋ to Hand over girl
Cash payment girl 9257726604 Hand ✋ to Hand over girlCash payment girl 9257726604 Hand ✋ to Hand over girl
Cash payment girl 9257726604 Hand ✋ to Hand over girl
 
How to utilize calculated properties in your HubSpot setups
How to utilize calculated properties in your HubSpot setupsHow to utilize calculated properties in your HubSpot setups
How to utilize calculated properties in your HubSpot setups
 
Social Media Marketing PPT-Includes Paid media
Social Media Marketing PPT-Includes Paid mediaSocial Media Marketing PPT-Includes Paid media
Social Media Marketing PPT-Includes Paid media
 
Labour Day Celebrating Workers and Their Contributions.pptx
Labour Day Celebrating Workers and Their Contributions.pptxLabour Day Celebrating Workers and Their Contributions.pptx
Labour Day Celebrating Workers and Their Contributions.pptx
 
Brand experience Dream Center Peoria Presentation.pdf
Brand experience Dream Center Peoria Presentation.pdfBrand experience Dream Center Peoria Presentation.pdf
Brand experience Dream Center Peoria Presentation.pdf
 
Instant Digital Issuance: An Overview With Critical First Touch Best Practices
Instant Digital Issuance: An Overview With Critical First Touch Best PracticesInstant Digital Issuance: An Overview With Critical First Touch Best Practices
Instant Digital Issuance: An Overview With Critical First Touch Best Practices
 
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu.Ka.Tilla Delhi Contact Us 8377877756
 
Top 5 Breakthrough AI Innovations Elevating Content Creation and Personalizat...
Top 5 Breakthrough AI Innovations Elevating Content Creation and Personalizat...Top 5 Breakthrough AI Innovations Elevating Content Creation and Personalizat...
Top 5 Breakthrough AI Innovations Elevating Content Creation and Personalizat...
 
Unraveling the Mystery of The Circleville Letters.pptx
Unraveling the Mystery of The Circleville Letters.pptxUnraveling the Mystery of The Circleville Letters.pptx
Unraveling the Mystery of The Circleville Letters.pptx
 
How to Leverage Behavioral Science Insights for Direct Mail Success
How to Leverage Behavioral Science Insights for Direct Mail SuccessHow to Leverage Behavioral Science Insights for Direct Mail Success
How to Leverage Behavioral Science Insights for Direct Mail Success
 
No Cookies No Problem - Steve Krull, Be Found Online
No Cookies No Problem - Steve Krull, Be Found OnlineNo Cookies No Problem - Steve Krull, Be Found Online
No Cookies No Problem - Steve Krull, Be Found Online
 
Situation Analysis | Management Company.
Situation Analysis | Management Company.Situation Analysis | Management Company.
Situation Analysis | Management Company.
 
The Science of Landing Page Messaging.pdf
The Science of Landing Page Messaging.pdfThe Science of Landing Page Messaging.pdf
The Science of Landing Page Messaging.pdf
 
Unraveling the Mystery of the Hinterkaifeck Murders.pptx
Unraveling the Mystery of the Hinterkaifeck Murders.pptxUnraveling the Mystery of the Hinterkaifeck Murders.pptx
Unraveling the Mystery of the Hinterkaifeck Murders.pptx
 

Demand forecasting

  • 1. Prepared by: Hardik Anghan Keval Patel Jay Jasani Sandip Dobariya Demand Forecasting
  • 2. Demand Forecasting… It is the activity of estimating the quantity of a product or service that consumers will purchase.
  • 3. All forecast are built on…  What people Say: Involves surveying the opinions of buyers or those closed to them.  What people do: Putting the product Into a test market to measure buyers response.  What people Have done: Involves analyzing records of past buying behavior or using time series analysis or statiscal demand analysis.
  • 5. Survey Of Buyers’ Intention  This forecasting is the art of anticipating what buyers are likely to do under a given set of condition. Because buyers behavior is so important, buyers should be Surveyed.  For major consumer durables, several research organizations conduct periodic surveys of consumer buying intentions.
  • 6. Composite of sales force opinions  In this method the sales forecasting is done bye the sales force.  Each salesman develops the forecast for his respective territory.  The territory wise forecast are consolidated at each branch area level and the aggregate of all these forecasts is taken as the corporate forecast.
  • 7.  When buyer interviewing is impractical, the company may ask its sales representative to estimate future sales, each sales representative estimate how much each current and prospective customer will buy of each of company's product.  Few companies use sales force’s estimates without making some adjustments, as they may be pessimistic or optimistic.  Or they might go from one extreme to another because of a recent setback or success.
  • 8. Advantages 1)The salesman are closest to the customers and ate able to judge their minds and thus the market more correctly. 2) Have greater stability and reliability because of the largeness of the sample. 3)The forecast derived by this method could be easily and meaningfully broken down-territory- wise,product-wise,customer-type-wise and month- wise etc
  • 9. Disadvantages  Salesmen are certainly not experts in forecasting, they cannot use sophisticated techniques.  Since their sales quotas are to be based on their sales forecasts, they may tend to underestimate demand and play it safe  They may not known the changes taking place in the economy and the given industry which may be necessary to predict the future.
  • 10. Expert Opinion:  In this type of survey method company takes suggestions form the experts in concerned field of inside or outside of the organization .  The opinions of outside expertise mat include opinions given by: 1. News papers 2. Trade journals 3. Opinions of wholesalers & distributers, suppliers 4. Trade associations 5. Marketing consultants 6. Or professional experts
  • 11. Expert Opinion  The specialist are able to make better economic forecast because they have more data available and more forecast data available.  Occasionally, companies will invite the group of experts to prepare a forecast.  They will exchange their views on products and produce a group estimates or forecast.  By analyzing this opinions company can forecast about its product.
  • 12. Expert Opinion: Advantages Disadvantages 1. Forecast can be made easily and speedily. 2. It is more accurate. 3. It is useful when past record of sales is not available. 4. Expense of this method is much less than other methods of forecasting 1. The main disadvantage is the reliability of forecasting is doubtful because it is based on opinions and suggestions and not on actual facts.
  • 13. Past Sales Analysis  Sales forecasts can be developed on the basis of past sales.  One of the method of this is "Time Series Analysis".  Time series Analysis consists of Breaking down past time series into four components as per below. 1.trend 2.cycle 3.seasonal 4.erratic
  • 14. 0 1 2 3 4 5 6 7 8 9 10 Years 80 70 60 50 40 30 20 10 Time Series Analysis Actual Projected
  • 15. 0 1 2 3 4 5 6 7 8 9 10 Years 80 70 60 50 40 30 20 10 Analogous Product New Product Time Series Analysis Analogous Products
  • 16.  After this, projecting the next period's sales by combining an average of past sales and the most recent sales.  Statistical methods of forecasting ,project historical information into the future.  statistical methods of forecasting are based on the assumptions that future patterns tend to be expansions of past ones and that one can make useful predictions by studying the past behavior.  Eg: One might forecast that next year sales would be a function of sales in the existing year or alternately next year sales would be a function of this year’s sales and the change in sales between this year and last year.
  • 17. One of the examples of past sales analysis.
  • 18. Market-Test Method  when buyers do not plan their purchase carefully or experts are not available or reliable, a direct - market test is desirable.  A direct market test is especially desirable in forecasting new product sales or established product sales in a new distribution channel.