Jeff’s records (Sales forecasting) Specificationtopic:Salesforecasting CaseStudy:Jeff’srecords AsJeffwatchedoneofhisearlyNirvanasinglessellfor£2500in10minutesonAmazonmarketplacehe knewhewasaluckyman.Hehadbeensellingsecondhandandnewvinylrecordsfor10yearsfromhis shopinSwindonbutcouldneverhavepredictedthelatestsurgeinrecordsales,especiallywhenallthe kidsarestreamingmusicfromthelikesofSpotifyandApplemusic.Thetruthisthatcollectorsare payingahugeamountofmoneytobuyrare,limitededitionrecords.Atthesametimemoreandmore peoplearebuyingnewrecords,sharingtheviewthatthequalityofarecordissomuchhigherthanany otherformat.VinylrecordsalesintheUKrose20%inthelastquarterandlargeretailerslikeAmazon andHMVareallocatingmoreandmoreattentiontosellingvinyl. Trendscomeandgoquicklyinmusic.WhenHMVwentintoadministrationin2013buyershadturned totheonlineretailerstobuytheirCD’sanddownloadsweredestroyingsalesofphysicalmusic.Under newownershipHMVhasnowdiversifiedintosellingmusicrelatedmerchandiselikeTshirtsand headphonesalongwithmorevinyl. Onecurrenttrendisthatlesspeoplearedownloadingmusictotheircomputersbutinsteadlisteningto streamedmusicforamonthlyfee.ThereisasimilardeclineinCDsales.Butvinylisboomingasaniche marketsegmentwithenthusiastsowningvastrecordcollections.ThemainproblemforJeffisgetting holdofstockasthereisaworldshortageofrecordpressesand2ndhandstockisbecomingharderto getholdof.RivalsecondhandrecordretailerslikeVinylTaparebuyinguplargequantitiesofsecond handstockandinsteadJeffishavingtoallocatemorespaceinhisshoptonewrecords.Thismakes profitmarginshardertoachieveduetopricecompetitionfromlargeonlinesellerslikeAmazon.Selling musiconlineviaEBayandAmazonmarketplacehasreallyhelpedJeff’srecords–especiallywhenit comestosellingrarer2ndhanditemstocollectors. Jeffhasseenalargeincreaseinvinylsalesoverthelastyearandiswonderingwhethertoexpandhis businessbybuyingthevacantshopnextdoor.Thiswouldenablemorestocktobeheldwhichcould thenbesoldviatherecordshoporonlineviahiswebsite. Exam-stylequestions 1.AssessthelikelyvaluetoJeffofproducingasalesforecastfornextyear(10marks) 2.AssessthebenefitstoJeffofpurchasingthepropertynextdoortoexpandhisrecordshop further?(12marks) © Tutor2u Limited 2016 www.tutor2u.net Jeff’s records (Sales forecasting) Suggestedanswers: 1. Valueofproducingasalesforecastfornextyear: • Canhelpwiththedecisiontopurchasetheshopnextdoorforexpansionandcould alsobeusedasevidencetoshowaninvestororlenderwhenfinancingthepurchase • Canhelpdecidehowmuchstocktopurchase • CanhelpJeffplanhisstaffinglevels Potentialcounterbalance: • Itisverydifficulttoestimatesalesaccurately–forexample,therecentboomin vinylmaybeapassingphaseandshortlived.Streamingcouldbemorepopular thananticipatedandtakeawayfuturevinylsales • Pastdatatrendsarenoguidetothefuture.Thebusinessenvironmentisconstantly changinge.g.strongrivalslikeVinylTapcouldlowerJeff’ssales Possiblejudgement • SalesforecastingisvaluableasitcanprovideinformationtoJeffthatwillallowhim toforecasthisstocklevels.Thiscouldensurehehasenoughstocktocopewith demandaswellashelpinghimtodecidewhetherornottopurchasetheshop 2. ArgumentswhyJeffshouldpurchasetheshop: • TheUKvinylmarketrecentlygrew20%.MeanwhilerivalslikeHMVareseeingthe potentialtosellvinylintheirstoreshighlightingitspotential.JeffhasaUSPof beingabletosupply2ndhandvinylwhichissoughtafterasthemarketgrows • Jeff’svinylsalesaregrowing • Peoplewhobuyvinylhavelargecollectionssoarelikelytomakelargerpurchases i.e.severalitemsatonce • AmazonmarketplaceandeBayenablemorestocktobesoldinternationallyand nationallybycollectors.Morestoragespacewillhelpwiththis Potentialcounterbalance: • • • • Customersfinditmoreconvenienttoorderonlinesothereisnoneedtoinvestin highstreetpropertywhichismoreexpensivee.g.higherrentandratesthanoutof townsites.Bettertofindawarehouseoutoftowntostorestockandplaceonline Pasttrendsarenotalwaysaguidetothefutureandthisisafastchangingmarket. Therecenttrendtobuyvinylmaybeafadandisquiteanichepartofthemarket. Mostconsumerswillnowstreammusicratherthanpurchasingitinanyformat LargerivalslikeHMVandAmazonarenowsellingmorevinyl.Thesewillget economiesofscaleinpurchasingandbeabletochargelowerpricesmakingithard forJefftocompete Stockof2ndhandvinylisbecominghardertoacquireasotherrivalslikeVinylTap arecashinginonthismarket.ThislimitsthepotentialforJefftousesecondhand © Tutor2u Limited 2016 www.tutor2u.net Jeff’s records (Sales forecasting) • collectors’itemsashisUSPleavinghimtocompeteatadisadvantagewithonline rivalsandpayingcostlyhighstreetrent Themainmassmarketstillrevolvesarounddigitaldownloads,CDsandstreaming. Itreallydependsonhowmanyconsumersarewillingtotryvinylandkeep purchasingitinfuture Possiblejudgement: • • • • • Moreandmorepeoplearebuyingnewrecordsandvinylsalesgrewby20%inthe lastquarter.Purchasingtheshopnextdoorwouldallowhimtoincreasehisstock andtakeadvantageofthisgrowth Jeffcouldbeleftwithanunderutilisedshopasstockisdifficulttocomeby Purchasingtheshopwillincreasehisoutflowsandifhestrugglestobystockthen hisoutflowscouldbegreaterthanhisinflowswhichwouldputastrainoncash flow. ItwilldependontherelativecostforthesitenextdoorandwhetherJeffhasthe cashflowtopurchasewithoutanexpensivemortgageorloan Italsodependsonthepropertymarketforcommercialpremises.Ifrisingprices thenthiscouldbeareasonablelongterminvestmentforthefuture © Tutor2u Limited 2016 www.tutor2u.net Specification Topic: Sales forecasting Q1 Fillinthegaps Salesforecastsareessentialforplanningahead.___levels,stockandproductionlevels alldependuponaccuratesalesforecasts.Backdatai.e.datafromthe________________canbe usedtoidentifyatrend.Rawdatawilloftenhavevariations,suchas__________________ variations,whereperhapsonequarteroftheyearseeshighersalesduetotheweather.Datacan besmoothedouttospottheunderlying______invariousways.Acommonmethodof findingatrendistoconducta_________average.___________istheterm usedforextendingatrendlineintothefuturetopredictsales. Quantitativesalesforecastingdoeshavelimitations,sincethepastisno______ofthe future.Thisisduetothemany______affectingdemandforaproduct.Howeverin ________________movingmarketsforecastsarelikelytobemorereliable. Choosefrom:extrapolation;factors;past;seasonal;moving;trend;guarantee;slow; staffing Q2 Matchthetermwiththedescription Lineofbestfit Timeseriesanalysis 3periodmoving average Seasonalvariation Scattergraph Correlation A. Thelinkbetween2variablesofdata B. Agraphshowingonevariableagainstanothervariableto helpshowifacorrelationexistsbetweenthetwo C. Alinedrawnthroughthedataonascattergraphtoshow therelationshipbetweenthetwovariables D. Examiningdatafromthepastinordertopredictfuture figures E. Wherethreeperiodsworthofdataareaddedtogether anddividedby3inordertosmoothoutthedata F. Thetypicalvariationinanygivenquarterbetweenthe forecasttrendandactualsales Q3 Circletheoddoneoutineachrowbelow 3.1SeasonalCyclicalRandomRecession 3.2ThreeperiodFourquarterNinemonth 3.3BackdataTimeseriesanalysisCorrelationPrimaryresearch 3.4PositiveInverseNegativeWeakStrong © Tutor2u Limited 2016 www.tutor2u.net Specification Topic: Sales forecasting Q4 Calculatorsready!ThetablebelowshowsthesalesofGrommitsoverthelast10months (£000) Period Jan Feb Mar Apr May June July Aug Sept Oct Sales 4700 4500 4800 5300 6000 5700 6340 6400 6900 7300 Moving Average 4.1Fromthesalesfiguresabove,calculateathreeperiodmovingaveragetogivethe trenddata.Inputtheanswerintherowhighlighted. Q5 Brieflyexplainwhy… 5.1 salesforecastsshouldbetreatedwithcaution 5.2 itisimportanttoknowwhopreparedthesalesforecast 5.3 salesforecastsaremoreusefulforthenearfuturee.g.forthenext6months © Tutor2u Limited 2016 www.tutor2u.net Specification Topic: Sales forecasting - Answers Q1 Fillinthegaps staffing;past;seasonal;trend;moving;extrapolation;guarantee;factors;slow Q2 Matchthetermwiththedescription Lineofbestfit C Timeseriesanalysis D 3periodmovingaverage E Seasonalvariation F Scattergraph B Correlation A Q3 Circletheoddoneoutineachrowbelow 3.1recession–othersaretypesofvariation 3.2ninemonth–othersaretypesofmovingaverage 3.3primaryresearch–othersallusedatafromthepast 3.4inverse–othersarecommonnamestodescribefeaturesofacorrelation © Tutor2u Limited 2016 www.tutor2u.net Specification Topic: Sales forecasting - Answers Q4 Calculatorsready!ThetablebelowshowsthesalesofGrommitsoverthelast10 months (£000) Period Jan Feb Mar Apr May June July Aug Sept Oct Sales 4700 4500 4800 5300 6000 5700 6340 6400 6900 7300 Moving 4667 4867 5367 5667 6013 6147 6547 6867 Average 4.1Answerintableabove Q5 Brieflyexplainwhy… 5.1 salesforecastsshouldbetreatedwithcaution Thepastisnoguidetothefuture,asmanyfactorschangee.g.theeconomy, actionsofrivals.Alsoprimaryresearch,ifused,canbebiased/unrepresentative,if basedonsmallsamples. 5.2 itisimportanttoknowwhopreparedthesalesforecast Sometimesmanagerscanartificiallyinflatepredictions,astheyhaveamotivefor thenewventuretotakeplace. 5.3 salesforecastsaremoreusefulforthenearfuture Thelongerwemoveintothefuturethemoreuncertainconditionswillbe.For example,overthenext6monthsitislesslikelyafirmwouldbehithardbyanew rivalproduct,butafterthatanythingcouldhappen!Whowouldhavethought NokiawouldloseitsmarketleadingpositionsoquicklyaftertheiPhonewas launched! © Tutor2u Limited 2016 www.tutor2u.net
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