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Forecasting in Enterprenuership
ByNithin Kumar
Prof - Juris Ozols
Contents1. About the Company
2. A Brief Description of the Current Business of Unilever 3. Characterization of the process4. Characterization of the theory of the forecasting process5. Justification of the choice of forecasting method6. Analysis of HUL on different methods as follows. - Time Series analyzing & Forecasting - Linear & Polynomial Methods - Exponential Data - Data Smoothing Method - Seasonal Data Analysis -Histogram Method - Correlation Method - Pivot Table
Group Selection Slicer - Profit & Revenue Data Analysis
OVERVIEW OF THE COMPANY INCORPORATED: 1933 INDUSTRY: CONSUMER GOODS. HEADQUARTERS: MUMBAI ,MAHARASHTRA. KEY PEOPLE: HARISH MANWANI(CHARIMAN) NITIN PARANJE(MD &
CEO) TURNOVER: 25,206 CRS. PEOPLE: 16000 EMPLOYEES INCLUDING
1500 MANAGERS. PARENTAGE: PART OF 44.3 BILLION EUROS
OF UNILEVER GROUP. REACH: 6.4 MILLION RETAIL OUTLETS. R&D CENTRES: MUMBAI & BANGALORE, INDIA.
INTRODUCTION Hindustan Unilever Limited (HUL) is the largest
FMCG company in India. It is owned by the British-Dutch company “Unilever”
and has about 52% majority stake in Hindustan Unilever Limited .
Its products include foods, beverages, cleaning agents and personal care products.
It is headquartered in Mumbai, Maharashtra, India. Hindustan Unilever Limited has over 35 brands
spanning 20 distinct categories. As per Nielsen market research data, two out of
three Indians use HUL products.
Current Business of HUL HUL is the market leader in Indian consumer
products with presence in over 20 consumer categories such as soaps, tea, detergents and shampoos amongst others with over 700 million Indian consumers using its products
The company has a distribution channel of 6.4 million outlets and owns 35 major Indian brands. Its brands include:
Food and Drink brandPersonal Care brandHome Care brand
How the process go
I have collected a series of data from the Company’s website from their Annual Reports. Which could be used for detailed analysis of Revenues, Profit/Loss, Share price etc. I have taken the Total revenues figure to forecast about it in future.
Hindustan Unilever Limited – Balance Sheets
Hindustan Unilever Limited – Profit and Loss Accounts
Justification of the choice of forecasting method
I have choosen various types of forecasting methods to analyse the company data & products sales.
The above mentioned data is collected from various news papers websites.
The data shows increase & decrease in profit & loss statements.
I have used some of the forecasting methods to analyse the data with regard to sales of various products to know the feature sales of that product.
Analysis of Revenues & Forecast of HUL
Table showing past 12 years financial data
MonthTotal Net Revenue
$Billion2004 7.22005 14.82006 15.92007 24.62008 36.52009 43.82010 88.92011 110.52012 100.82013 180.22014 199.92015 298.5
Interpretation : The graph clearly explains that in 2004 it is around 7.2 billions in 2005 it is increased to 14.8 billions. From 2006 to 2015 it keep on increasing. In 2011 it is showing 110.5 billions in 2012 it is 100.8 billions there was decrease in between these years.
2002 2004 2006 2008 2010 2012 2014 20160
50
100
150
200
250
300
350
Total Net Revenue, USD
Analysis of Time Series Data of HUL
Table showing past 12 years financial data
MonthTotal Net Revenue
$Billion2004 7.22005 14.82006 15.92007 24.62008 36.52009 43.82010 88.92011 110.52012 165.52013 180.22014 199.92015 298.5 2002 2004 2006 2008 2010 2012 2014 2016
0
50
100
150
200
250
300
350
Total Net Revenue, USD
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 20150.00
50.00
100.00
150.00
200.00
250.00
300.00
350.00 Profit Increase, USD
54 MARKET LEADER-HINDUSTAN UNILEVER LIMITEDAs mentioned in the above graph ,hul is enjoying the leader position in the marketand is having highest market share which are followed by the market challengerslike dabur india ltd , nestle,itc etc. in different categories of fmcg products likeshampoos deos, coffee, dish wash etc.37.554.357.354.547.869.722.74467.513.69.78.77.423.714.520.839.13.401020304050607080hulcompetition market share
2002 2004 2006 2008 2010 2012 2014 20160.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
Linear & Exponential Growth
Total Net Revenue, $Billion Exponential (Total Net Revenue, $Billion)Model 1 (Linear) Model 2 (Expon)
Linear & Exponential Model forecasting on HUL Total Revenues
Data Smoothing Method on HUL
Period Year Quarter SalesThird -Quarter Sales
AverageFifth -Quarter Sales
Average
1 1 1 8.0 2 1 2 12.0 12.0 3 1 3 16.0 17.7 18.04 1 4 25.0 23.3 26.05 2 1 29.0 34.0 32.46 2 2 48.0 40.3 38.27 2 3 44.0 45.7 44.28 2 4 45.0 48.0 53.49 3 1 55.0 58.3 61.6
10 3 2 75.0 73.0 63.011 3 3 89.0 71.7 65.012 3 4 51.0 65.0 71.813 4 1 55.0 65.0 71.214 4 2 89.0 72.0 73.215 4 3 72.0 86.7 78.816 4 4 99.0 85.5
0 2 4 6 8 10 12 14 16 180.0
20.0
40.0
60.0
80.0
100.0
120.0Sales
0 2 4 6 8 10 12 14 16 180.0
20.0
40.0
60.0
80.0
100.0
120.0
Sales Average in Third & Fifth Quarter (Smoothing)
Sales Three -Quarter Sales Average Five -Quarter Sales Average
Exponential Method
Days LuxINR
Lifebuoy INR
5 437.00 53615 687.00 65513 763.44 108412 789.00 10542 205.00 122210 905.00 118914 855.00 781.6415 900.66 87611 819.81 110830 999.00 99117 1 010.00 100026 1 038.00 830.9618 1 055.00 815.3122 1 422.00 902.2420 1 117.53 922.6521 1 201.00 788.211 1 354.00 943.218 1 458.00 189125 1 584.00 1013.4924 1 455.00 963.4519 1 245.00 11113 1 894.00 132328 1 639.30 1134.269 1 891.00 991.475 16 661.00 981.384 1 555.00 948.6823 1 402.36 1197.226 1 336.00 175627 1 550.47 188929 1 807.47 1991
Row LabelsCount of Lux
USD 205-605 2
605-1005 8 1005-1405 9 1405-1805 7 1805-2205 3
>2205 1 Grand Total 30
Row LabelsCount of
Lifebuoy USD636-841 5
841-1046 131046-1251 71251-1456 11661-1866 11866-2071 3Grand Total 30
205-605 605-1005 1005-1405 1405-1805 1805-2205 >22050
1
2
3
4
5
6
7
8
9
10
Total
Total
636-841 841-1046 1046-1251 1251-1456 1661-1866 1866-20710
2
4
6
8
10
12
14
Total
Total
Histogram Method on HUL
Row Labels 2006 2008 2009 2010 2011 2012 2013 2014 2015 Grand TotalBHOPAL 224.29 374.22 76.83 84.23 269.21 463.8 38.53 79.68 1610.79
OOTY 153 153KOLKATA 67.9 202.08 401.49 23.52 694.99
JHARKHAND 517.69 528.63 49.48 58.28 392.87 822.12 2369.07PONDICHERR
Y 961.66 191.04 566.77 423.82 666.96 2810.25ORISSA 39.77 444.5 84.8 93.88 178.4 841.35
LUCKNOW 360.74 244.35 35.96 94.16 97.51 139.67 24.98 997.37CHENNAI 22.76 245.51 333.46 81.91 683.64
Mumbai 123.17 24.65 105.47 253.29HARYANA 41.42 78.76 536.15 431.61 1087.94
HYDERABAD 44.08 200.01 1253.59 202.53 376.02 81.61 482.45 2640.29JAMMU & KASHMIR 81.62 119.95 373.25 274.67 849.49SHIMLA 65.49 400.91 83.75 304.71 513.82 1368.68
VIJAYAWADA 28.2 127.52 267.92 320.17 313.86 32.35 233.82 1323.84Delhi 51.82 817.6 92.44 120.39 269.59 441.73 174.59 1968.16
ANDAMAN & NICOBAR 296.29 121.5 171.97 42.37 140.06 50.83 267.91 1090.93
VIZAG 598.06 466.13 99.09 198.15 180.48 465 38.89 265.09 2310.89GOA 203.72 246.86 88.05 119.82 220.77 254.6 1133.82
KOCHI 237.34 158.4 40.02 213.82 29.46 223.81 902.85JAIPUR 22.24 165.48 74 78.66 44.56 155.31 540.25
Bangalore 402.59 62.45 145.09 253.63 149.59 20.88 178.8 1213.03Grand Total 2895.86 3833.55 3643.81 2946.39 2207.08 3390.09 2398.75 676.79 4851.6 26843.92
BHOPALOOTY
KOLKATA
JHARKHAND
PONDIC
HERRY
ORISSA
LUCKNOW
CHENNAI
Mumba
i
HARYANA
HYDERABAD
JAMMU &
KASH
MIR
SHIM
LA
VIJAYAWADA
Delhi
ANDAMAN & N
ICOBAR
VIZAG
GOA
KOCHI
JAIP
UR
Bangalo
re0
200400600800
100012001400
200620082009201020112012201320142015
PIVOT TABLE (Payment of Diff Products of HUL
Date Price DateSurf Excel
INR Surf Excel, 7Surf Excel,
1521.10.201
4 5.43 21.10.2005 7
22.10.2014 8.92
28.10.2005 8
23.10.2014 8.75 16.11.2005 10
24.10.2014 10.1 30.11.2005 15 16.000
25.10.2014 14.59
14.12.2005 20 19.286
26.10.2014 14.44
27.12.2005 25 23.143
27.10.2014 1.89
03.01.2006 27 27.571
28.10.2014 3.16
13.01.2006 30 31.429 31.200
29.10.2014 2.56
29.01.2006 35 35.000 34.667
30.10.2014 2.27
13.02.2006 41 38.857 38.133
31.10.2014 4.61
23.02.2006 42 42.857 41.733
01.11.2014 3.6306.03.200
6 45 46.571 45.333
02.11.2014 3.1217.03.200
6 52 50.000 49.067
03.11.2014 3.0818.03.200
6 55 52.714 52.667
04.11.2014 5.15 19.03.2006 56 55.857 56.533
05.11.2014 8.4326.03.200
6 59 59.286 60.467
06.11.2014 7.7102.04.200
6 60 62.714 64.400
07.11.2014 8.806.04.200
6 64 66.143 68.267
08.11.2014 12.6414.04.200
6 69 70.286 72.133
09.11.2014 12.4921.04.200
6 76 74.571 76.133
10.11.2014 1.6104.05.200
6 79 79.429 80.000
11.11.2014 2.8209.05.200
6 85 84.429 84.000
12.11.2014 2.2620.05.200
6 89 88.857 88.600
5/28/2005 10/10/2006 2/22/2008 7/6/20090
200400600800
100012001400160018002000
Surf Excel INR
5/28/2005 10/10/2006 2/22/2008 7/6/20090
200400600800
100012001400160018002000
15 Periods
Surf Excel INR Surf Excel, 7
SALES OF SURF EXCEL
0 10 20 30 40 50 60-$200,000.00
$0.00
$200,000.00
$400,000.00
$600,000.00
$800,000.00
$1,000,000.00
REVENUE COST OF ADVERTISING PROFIT
T G N REVENUECOST OF
ADVERTISING
PROFIT
0 0% 0 $0.00 $30 000.00 -$30 000.001 10% 66614 $86 597.95 $31 000.00 $55 597.952 18% 126888 $164 955.01 $32 000.00 $132 955.013 26% 181427 $235 855.42 $33 000.00 $202 855.424 33% 230776 $300 008.76 $34 000.00 $266 008.765 39% 275429 $358 057.10 $35 000.00 $323 057.106 45% 315832 $410 581.41 $36 000.00 $374 581.417 50% 352390 $458 107.37 $37 000.00 $421 107.378 55% 385470 $501 110.64 $38 000.00 $463 110.649 59% 415401 $540 021.61 $39 000.00 $501 021.6110 63% 442484 $575 229.71 $40 000.00 $535 229.7111 67% 466990 $607 087.31 $41 000.00 $566 087.3112 70% 489164 $635 913.27 $42 000.00 $593 913.2713 73% 509228 $661 996.07 $43 000.00 $618 996.0714 75% 527382 $685 596.76 $44 000.00 $641 596.7615 78% 543809 $706 951.55 $45 000.00 $661 951.55
HUL PROFIT DATA