{"id":249686,"date":"2023-02-06T12:25:03","date_gmt":"2023-02-06T11:25:03","guid":{"rendered":"https:\/\/www.compasshrg.com\/?p=249686"},"modified":"2026-01-15T10:50:59","modified_gmt":"2026-01-15T09:50:59","slug":"ai-optimerer-consumer-industrien-balancen-mellem-teknologi-og-menneskelig-intelligens","status":"publish","type":"post","link":"https:\/\/www.compasshrg.com\/da\/blog\/ai-optimerer-consumer-industrien-balancen-mellem-teknologi-og-menneskelig-intelligens\/","title":{"rendered":"AI optimerer consumer-industrien"},"content":{"rendered":"

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Flere og flere consumer-virksomheder, b\u00e5de indenfor B2B og B2C, begynder at benytte sig af artificial intelligence (AI)<\/a> for at optimere deres forretninger. Det kan v\u00e6re for at effektivisere processer og spare ressourcer, men ogs\u00e5 for at forbedre kundeoplevelsen og dermed \u00f8ge oms\u00e6tningen.<\/p>\n

Hos Compass Human Resources Group har vi brugt AI i rekruttering og executive search i mange \u00e5r; prim\u00e6rt gennem f\u00e6rdigheds- og intelligenstests, og vi bruger stadig st\u00f8rre ressourcer p\u00e5 at kvalificere de kunstigt genererede output gennem vores certificeringer og erfaringer. Dette er b\u00e5de for at sikre det bedste match for virksomheden, men ogs\u00e5 for at give kandidaten en god oplevelse i form af personlig tilbagemelding p\u00e5 testresultaterne.<\/p>\n

Teknologierne udvikler sig hele tiden<\/a>, og sp\u00f8rgsm\u00e5let er, hvor meget ansvar vi som forretningsledere vil overlade til den kunstigt t\u00e6nkende maskine? Hvilken menneskelig intelligens og kompetence vil det kr\u00e6ve i fremtiden for at udvikle, fordre og derefter validere og kvalificere maskinernes genererede resultater?<\/p>\n

Traditionelt set handler godt k\u00f8bmandskab om at skabe v\u00e6rdi for kunderne. V\u00e6rdi p\u00e5 et s\u00e5dant niveau, at kunderne er glade for produktet, oplevelsen eller den service, de har k\u00f8bt hos os. S\u00e5 glade, at de kommer tilbage og k\u00f8ber mere. Og m\u00e5ske endda s\u00e5 glade, at de anbefaler os til dem, de kender.<\/p>\n

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AI i consumer-industrien<\/h3>\n

AI spiller en stadigt st\u00f8rre rolle i consumer-industrien, da det giver virksomhederne mulighed for at forst\u00e5 deres kunder og markeder bedre. Ved at bruge AI til at indsamle og analysere store m\u00e6ngder data kan virksomhederne f\u00e5 viden om kundernes pr\u00e6ferencer, tendenser og demografi. Dette kan hj\u00e6lpe med at tr\u00e6ffe beslutninger om produktudvikling, markedsf\u00f8ring, priss\u00e6tning og distribution. Det kan ogs\u00e5 hj\u00e6lpe med at identificere og forst\u00e5 udfordringer og muligheder i markedet og dermed skabe en konkurrencefordel.<\/p>\n

Mere konkret kan AI hj\u00e6lpe med at forudsige forbrugsm\u00f8nstre ved at analysere data om tidligere forbrug, demografiske oplysninger og andre relevante faktorer. Dette kan hj\u00e6lpe virksomheden med at forudsige, hvorn\u00e5r kunderne er mest tilb\u00f8jelige til at k\u00f8be igen, hvilke produkter eller tjenester de er mest interesserede i, og hvordan deres k\u00f8bsadf\u00e6rd kan \u00e6ndre sig over tid. P\u00e5 denne m\u00e5de kan virksomheden bedre tage sig af sine kunder og deres behov og opn\u00e5 en st\u00f8rre effektivitet i deres salgsfremmende aktiviteter.<\/p>\n

Samtidig med at konkurrencen tiltager, og kunderne stiller st\u00f8rre krav, er det ogs\u00e5 blevet dyrere at drive succesfuld handel. Derfor er det vigtigt for virksomhederne at t\u00e6nke i optimering, effektivisering og cost-benefit, og her kan AI spille en afg\u00f8rende rolle. Det kan hj\u00e6lpe med at automatisere rutineopgaver og \u00f8ge effektiviteten og oms\u00e6tningen. Indsamling og brug af data er derfor blevet en n\u00f8dvendighed for mange virksomheder i consumer-industrien for at kunne overleve og v\u00e6kste i en konkurrencepr\u00e6get branche.<\/p>\n

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AI styrker effektiviteten og bidrager til forbedringer i driften og resultaterne<\/h3>\n

AI styrker effektiviteten og optimeringen, men det er vigtigt at finde en balance mellem at benytte sig af teknologien og at bevare menneskelige kompetencer. For eksempel kan AI hj\u00e6lpe med at automatisere rutineopgaver og analysere store m\u00e6ngder data, men det er stadig vigtigt at have menneskelige ressourcer, der kan tr\u00e6ffe beslutninger og tage ansvar baseret p\u00e5 denne information.<\/p>\n

\u201dEn chatbot, som mange webshops i dag anvender, er et godt eksempel p\u00e5 en type AI, der kan styrke effektiviteten og optimere resultater i en forretning. Dels fordi kunder ofte stiller den samme type sp\u00f8rgsm\u00e5l, som chatbottens algoritmer og data dermed kan svare hurtigt og effektivt p\u00e5. Det giver (oftest) glade og tilfredse kunder, men i h\u00f8j grad ogs\u00e5 fordi en chatbot kan give personlige anbefalinger i samtalerne, hvis den har adgang til dine kundedata. Samtidig indsamler den ogs\u00e5 data i kontakten med kunderne, og p\u00e5 den m\u00e5de styrkes underlaget for kvalitative svar yderligere. Dog er det vigtigt at sige, at der bag ethvert automatiseret chatbot-setup er mennesker, der kan tage over, hvis en given dialog tager drejninger eller giver sp\u00f8rgsm\u00e5l, som robotten ikke er gearet til at svare p\u00e5\u201d<\/em>, lyder det fra Thomas Schwartz, konsulent i Compass Human Resources Group.<\/p>\n

En anden vigtig faktor at tage i betragtning er de problemer, der kan opst\u00e5 ved at overlade for meget ansvar til AI. For eksempel kan den kunstigt genererede information v\u00e6re pr\u00e6get af bias eller manglende forst\u00e5else for komplekse situationer, hvilket kan f\u00f8re til forkerte beslutninger. Derfor er det vigtigt at have et framework og en strategi for at validere og kvalificere de kunstigt genererede resultater. Der skal v\u00e6re menneskelige kompetencer, som kan stille den kunstige intelligens de rette opgaver til at begynde med, og som kan validere arbejdet bagefter, inden det arbejde bliver sendt ud at \u201dleve\u201d.<\/p>\n

Endelig er det vigtigt at tage ansvar for de konsekvenser, der kan v\u00e6re som f\u00f8lge af at implementere AI i en virksomhed. Det kan f\u00f8re til \u00e6ndringer i arbejdsprocesser og givetvis ogs\u00e5 organisatoriske tilpasninger. Derfor er det vigtigt at have en plan for, hvordan man h\u00e5ndterer disse konsekvenser p\u00e5 en ansvarlig m\u00e5de.<\/p>\n

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Digitalisering er blevet et grundelement i virksomheders forretning og fremtidige eksistensberettigelse. Den digitale know-how er dermed sat i h\u00f8js\u00e6det.<\/p>\n

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\n

Er jeres digitale kompetencer opdaterede nok til den digitale udvikling?<\/h4>\n<\/div>\n

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Har din virksomhed de rette kompetencer?<\/h3>\n

Implementering af kunstig intelligens i en virksomhed kr\u00e6ver specifikke kompetencer for at kunne l\u00f8se opgaven p\u00e5 en effektiv og ansvarlig m\u00e5de. For eksempel er det vigtigt at have medarbejdere med viden om maskinl\u00e6ring og dataanalyse, der kan stille den kunstige intelligens de rette opgaver og validere dens arbejde, f\u00f8r det bliver implementeret i virksomheden. Det er ogs\u00e5 vigtigt at have medarbejdere med forst\u00e5else for forretningsprocesser og -behov, der kan identificere, hvordan AI kan optimere og effektivisere disse processer.<\/p>\n

Da implementeringen af AI i en virksomhed ofte kr\u00e6ver nye kompetencer, kan det v\u00e6re n\u00f8dvendigt at hyre eksterne eksperter eller opkvalificere eksisterende medarbejdere. Der er en stigende eftersp\u00f8rgsel efter specifikke kompetencer som fx Machine Learning Engineer, AI Engineer og Business Intelligence Engineer\/Analyst i consumer-industrien. Det kan v\u00e6re nye stillinger, som ikke tidligere har v\u00e6ret en del af virksomheden eller branchen, men som f\u00f8rhen kun har h\u00f8rt til i IT-virksomheder.<\/p>\n

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Kan din virksomhed l\u00f8se fremtidens udfordringer?<\/h3>\n

Hos Compass HRG har vi set en \u00f8get eftersp\u00f8rgsel efter stillinger, der er relateret til data og kunstig intelligens i de seneste 12 m\u00e5neder. Dette kan v\u00e6re nye stillinger, som ikke tidligere har v\u00e6ret en del af virksomheden eller branchen, men nu er blevet mere efterspurgt.<\/p>\n

Baseret p\u00e5 vores erfaring og ekspertise inden for rekruttering har vi v\u00e6ret i stand til at give sparring og r\u00e5dgivning til virksomheder, der s\u00f8ger efter de rette kompetencer til at l\u00f8se deres udfordringer med AI. Det har bl.a. v\u00e6ret ved at hj\u00e6lpe virksomheden med at identificere deres behov for kompetencer, finde de rette kandidater og r\u00e5dgive dem i rekrutteringsprocessen.<\/p>\n

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