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Homework answers / question archive / Hayes Pump, LLC is a multi-line distributor of industrial pumps and fluid management equipment

Hayes Pump, LLC is a multi-line distributor of industrial pumps and fluid management equipment

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Hayes Pump, LLC is a multi-line distributor of industrial pumps and fluid management equipment.They have been continuously been operating in the New England/New Jersey region since 1898.  The company is owned by a small group of people, some f whom are management employees in the company and some of whom are private investors.

 

The company employs 24 sales executives, each of whom has control over an exclusive sales territory within Hayes’ geographic distribution are.  Thomas Dever, Hayes’ CFO has maintained detailed records of ales volume be territory as well as by season. He has always believed that Hayes’ business is seasonal and that one of the key success factors for hayes has been the experience of its sles force.

 

You have been brought in as an intern to Mr. Dever in order to assist him with some quantitative analysis in order to help prepare next year’s sales forecast for the company as a while and for eac sales territory.  Mr. Dever has provided you with two sets of data.  The first piece of data is a summary profile of each sales executive’s territory including information about botth the territory and the sales executive.

 

Mr. Dever has asked you  to conduct all of the quantitative analysis necessary for the projection of next year’s sales, seasonally adjusted by quarter.  He is also interested in testing his belief that the experience of the sales force is an important factor in the success of the company by performing a regression analysis on that data.

 

The other requirements of this internship consst of trying to develop a more sophisticated and potentially more accurate model for predicting each sales executive’s sales volume by using more data that just the experience of the sales executive.  You must also produce sample quarterly sales projections and their 95% prediction intervals for next year for two of the sales  executives; Sanford and Putnam.  In projecting their sales for 2006, please keep the following facts in mind:

 

Sanford: Will have an additional year of experience, Number of accounts  to increase 3%, NO OTHER CHANGES.

 

Putnam: Will have an additional year of experience, Number of accounts to drop by 2% and territory to increase in size by 10%.  It is expected that 14% of Putnam’s sales will be concentrated in his top 20 accounts in 2006.

 

Your report to Mr. Dever should take the form of a 1 page typewritten business memo with up to 4 pages of supporting documentation.  Your analysis should be well-written and concise, with clear references to your supporting analysis.

 

 

Sales Executive

Number of Accounts

Average Account Size

Territory Size (sq. miles)

Sales Executive’s Experience

% of Sales in top 20 Accounts

Annual Sales Volume

 

 

 

 

Number

Size

Area

Experience

Concentratin

Volume

Barnes

194

4200

698

8

28%

896598

Cataldo

403

2800

318

18

28%

1512942

Feldman

200

10180

718

12

18%

1026409

Gregory

416

2750

484

16

30%

1541292

Habib

209

6525

430

14

26%

1374452

Innocent

486

2100

585

18

25%

1543222

Jackson

361

2500

591

22

20%

1555897

Keough

287

4750

714

13

12%

976374

Lamarello

436

1850

812

13

18%

1216523

Nackman

262

2598

724

13

10%

881507

O’Toole

345

2500

377

12

15%

1163445

Putnam

478

1473

545

11

10%

1065381

Rogerson

374

3150

315

17

25%

1423769

Sanford

264

5220

319

20

15%

1514870

Tremonti

389

4340

567

10

25%

964610

U’deke

398

3800

571

16

20%

1369312

Varelli

157

9010

516

15

27%

1426405

Winston

247

4750

620

12

22%

1290142

Yang

295

5675

733

14

25%

1003088

Zadravec

153

7265

587

10

23%

1120556

 

 

 

 

 

 

2001

2002

2003

2004

2005

Quarter 1

Jan - Mar

2549782

4603773

3098694

4330472

4245712

Quarter 2

Apr - Jun

7043773

7596226

6640058

7698617

7192652

Quarter 3

Jul - Sep

6455038

7826415

7082728

7217454

8928809

Quarter 4

Oct - Dec

3936226

2992453

5312046

4811636

4499621

 

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