chapter three “customer accommodation”

27
Chapter Three “Customer Accommodation” Part Four “Forecasting” You will need to manually advance from slide-to-slide on this presentation.

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Chapter Three “Customer Accommodation”. Part Four “Forecasting” You will need to manually advance from slide-to-slide on this presentation. To follow are explanations of certain quantitative forecasting techniques used to predict future sales. No audio on this slide. Quantitative Methods. - PowerPoint PPT Presentation

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Page 1: Chapter Three “Customer Accommodation”

Chapter Three“Customer Accommodation”

Part Four

“Forecasting”You will need to manually advance from

slide-to-slide on this presentation.

Page 2: Chapter Three “Customer Accommodation”

To follow are explanations of certain quantitative forecasting techniques

used to predict future sales.

No audio on this slide.

Page 3: Chapter Three “Customer Accommodation”

Quantitative Methods

• Continuity extrapolation: incremental dollar or percentage increase is carried forward to the next year.

Page 4: Chapter Three “Customer Accommodation”

Quantitative Methods

• Continuity extrapolation: incremental dollar or percentage increase is carried forward to the next year.

Growth Maturity Decline

IntroductionProduct Life Cycle

Page 5: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Time series analysisSales = T x C x S x IWhere:T = trends or long-run changesC = cyclical changesS = seasonal variationsI = irregular or unexpected factors.

Page 6: Chapter Three “Customer Accommodation”

Gasoline demand

Time Series Analysis

Time--Johnson, Kurtz, Scheuing 1994 “Sales Management”

Page 7: Chapter Three “Customer Accommodation”

Gasoline demand

Time Series Analysis

Time

Cyclical changes

Cyclical changes (economy)

Cyclical changes

Seasonal variation (summer, winter)

Irregular or unexpected factors (political crisis)

--Johnson, Kurtz, Scheuing 1994 “Sales Management”

Page 8: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

Page 9: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast 1 4200 -- --

2 4410 -- --

3 4305 --

Page 10: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

Page 11: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

4 4366 --

Page 12: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

4 4106 4366 --

Page 13: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

4 4106 4366 --

5 4214

Page 14: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

4 4106 4366 --

5 4214 4260

Page 15: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -- --

2 4410 -- --

3 4322 4305 --

4 4106 4366 --

5 4214 4260

Page 16: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Exponential smoothing:

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Alpha is any number between 0 and 1.

The higher the alpha, the more weight to recent sales.

Page 17: Chapter Three “Customer Accommodation”

Quantitative Methods (continued)

• Moving average

Year Sales 2-year 4-year

forecast forecast

1 4200 -

2 4410 -- --

3 4322 4305 --

4 4106 4366 --

5 4214 4260…higher alpha means later data has more influence or weight

All data contribute to forecast, but….

Page 18: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Page 19: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha

=.2 .5 .8

1 4200 -- -- --

Page 20: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha

=.2 .5 .8

1 4200 -- -- --

2 4200 4200 4200

Page 21: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha

=.2 .5 .8

1 4200 -- -- --

2 4410 4200 4200 4200

Page 22: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha .2 .5 .8

1 4200 -- -- --2 4410 4200 4200 4200

(.2)(4410) + (.8)(4200) = 4242

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Page 23: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha.2 .5 .8

1 4200 -- -- --2 4410 4200 4200 4200

(.5)(4410) + (.5)(4200) = 4305

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Page 24: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha.2 .5 .8

1 4200 -- -- --2 4410 4200 4200 4200

(.8)(4410) + (.2)(4200) = 4368

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Page 25: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha

.2 .5 .8

1 4200 -- -- --

2 4410 4200 4200 4200

3 4322 4242 4305 4368

(.2)(4322) + (.8)(4242) = 4258

Page 26: Chapter Three “Customer Accommodation”

(alpha)(this period sales) + (1-alpha)(this period forecast) = forecast for next period

Year Sales Alpha Alpha Alpha

=.2 .5 .8

1 4200 -- -- --

2 4410 4200 4200 4200

3 4322 4242 4305 4368

4 4106 4258 4314 4331

5 4311 4228 4210 4151

Page 27: Chapter Three “Customer Accommodation”

End of Program.