Planet KSolvingtheLanguageProblem:HowGlobalCompaniesCanReachaWorldofCustomers

Kamusi istheSwahiliwordfor“dictionary”.Ourmission:

1.Collecteverywordineverylanguage2.Shareeveryword

Planet K

Planet K isourideatotranslateusefulinformationthatisfrequentlyrepeated,like , ,and ,intohundredsoflanguages.

• Companies preparetheirproductsonceintheirhomelanguage• Customers readtheinformationintheirmothertongues

• Thecompany putsaQRcodeontheirproduct• Thecustomer readstheinformationontheirmobiledevice

• Thecompany sharesBIGinformationinasmall space• Thecustomer learnsbetterinformationabouttheproduct

• Thecompanymakesonelabelforhundredsofmarkets• Thecustomer readsinformationabouthundredsofproductsintheirownlanguage

Thereisalocalcompanywethoughtwe’dpitchtheideato.Nestlehas:• Morethan2000brands• Nearly$100billionsales• Operationsin200countriesMightitbehelpfultothemtohave inthe of

their ?

2000brandsx50packages/brandx100terms/packagex200languages2,000,000,000words

WecanshowNestlehowPlanetKcouldeasethechallenge• “Milk”is“milk”onanypackage• “Milk”inanotherlanguagewill

bethatwordonanypackage• 5000repeatingtermscanbecondensed

tojustfiveweeksofworkperlanguageButcanweconvinceaBIGcompany toputQRcodesonitsproductstoofferlow-incomemarket customersmoreinformation?

Allbrandsxallpackagesx5,000uniqueterms(@25/hr=200hours/lang)x200languages1,000,000reusable terms

Guesswhat?Theyalreadydo!ThisisacanofNestleMilkmaidSweetenedCondensedMilk.ItissoldinSriLanka.IfyouscantheQRcodeonyourphone,thenextpageshowswhatyouwillsee.

Yousee:• Acrispwebsite• Instructions• Nutrition• Recipes• Socialinformation

In

EthnologueestimatesforSriLanka:• 20,000,000people• 16,000,000speak

Sinhala• 4,000,000speak

Tamil• 90%areliterate• 10%speaksome

Englishhttp://www.ethnologue.com/country/LK/languages

EthnologueestimatesforSriLanka:• 20,000,000people• 16,000,000speak

Sinhala• 4,000,000speak

Tamil• 90%areliterate• 10%speaksome

Englishhttp://www.ethnologue.com/country/LK/languages

ThePlanetKconcept:• Company getsrepeated

termstranslatedtothenational

haveproductinformation

• Accessedthrough QRcodesthatthecompanyhasalready investedin

Thesedetailed translations,fortworeasons:

1. Methods– theyscrapedigitalsourcesforapparentmatches. Thissomewhat worksforFrenchandGerman,butnotmuchbeyond

2. Data– mosttermsformost languageshaveneverbeencollected, sotheydon’texistinanywaycomputerscanuse

Weaskforthewordsrightfromthepeoplewhospeakthem.Thenwealignthem(because“truffle” couldbeafungusorachocolate, andyoureallydon’twanttomixupideaslikethat).Wecangetyou .Wedemonstrateitfor4languagesbelow.Wecoulddoitfor .

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AnylanguageAnyproductAnymarket

TranslatedonceUsedeverywhere

* SomescriptrenderingerrorsintroducedbyAdobeimageeditingsoftware

* SomescriptrenderingerrorsintroducedbyAdobeimageeditingsoftware

AnylanguageAnyproductAnymarket

TranslatedonceUsedeverywhere