Abathengisi bebesebenzisa i-AI amashumi eminyaka ambalwa, kodwa ukwamukelwa kwayo okusabalele kanye nomthelela omkhulu embonini kuye kwabonakala kakhulu eminyakeni yamuva.
Ukusetshenziswa kwe-AI ekudayiseni kwaqala ukudlondlobala ngasekuqaleni kwawo-2000, ngokuthuthukiswa kwama-algorithms okufunda komshini athuthuke kakhulu kanye nokutholakala kwenani elikhulu ledatha.
Ekuqaleni, abathengisi basebenzisa i-AI emisebenzini eyisisekelo, okuhlanganisa ukuphathwa kwempahla kanye nokubikezela kwesidingo. Kodwa-ke, njengoba sekwenziwe ukuthuthuka, sekuvame kakhulu kwezinye izici zokuthengisa, njengokumaketha komuntu siqu, isevisi yamakhasimende, ukuthuthukiswa kwamanani entengo, nokuphathwa kwe-supply chain. Ngokukhula kwe-ecommerce kanye nokubaluleka okwandayo kokuthathwa kwezinqumo okuqhutshwa yidatha, ukwamukelwa kwe-AI kwezokudayisa kuthuthukile. Abathengisi manje bathembele ku-AI ukuze bathuthukise ulwazi lokuthenga, bathuthukise ukusebenza kwebhizinisi, futhi bathole umkhawulo wokuncintisana.
I-Generative AI inamandla ensizakalweni yamakhasimende
Kusukela i-OpenAI yethula i-ChatGPT ngoNovemba 2022, kube nokukhulu ukushuba mayelana nokuthi izoba kanjani i-AI ekhiqizayo kuzo zonke izimboni. Emikhakheni yezitolo nezingubo, umthelela wayo omkhulu uzoba eduze kwabasizi bezitolo ababonakalayo. Ama-chatbot anamandla e-AI kanye nabasizi ababonakalayo bangasingatha imibuzo yamakhasimende engu-24/7. Bangaphendula ngokushesha emibuzweni evame ukubuzwa mayelana nokutholakala komkhiqizo, isimo se-oda, noma izinqubomgomo zokubuyisela. Ukuphendula imibuzo evamile kanye nokunikeza iseluleko sokuthenga komuntu siqu kukhulula ama-agent angabantu ukuthi agxile ezindabeni eziyinkimbinkimbi.
Amasistimu anamandla e-AI angabuye ahlaziye izikhalazo zamakhasimende futhi enze izimpendulo ezifanele noma izinqumo, aqinisekise ukuphathwa ngendlela efanayo nangesikhathi kwezindaba zamakhasimende.
I-AI isetshenziswa abathengisi ukubhekana ne-ESG, ukwehla kwamandla emali, nokuphazamiseka kwe-supply chain
I-AI ingaba negalelo emigomeni ye-ESG yabathengisi ngokuthuthukisa ukuthenga komuntu siqu, ukuphathwa kwempahla, kanye nokusetshenziswa kwezinto. Amathuluzi avela ku-Salesforce kanye ne-Dynamic Yield angasiza abathengisi benze amaphromoshini abe ngowakho, izincomo zomkhiqizo, nokunikezwayo kwamakhasimende. Ngokuhlaziya idatha yekhasimende, abathengisi banganciphisa imfucuza ngokunikeza imikhiqizo efanele kumakhasimende, ukwandisa ukuthengisa nokwaneliseka kwamakhasimende. I-IBM's Order Management System (OMS) ingasiza futhi abathengisi ukuthi bathuthukise ukunemba kwe-oda, behlise isidingo sembuyiselo nokuhwebelana kanye nokunciphisa imfucuza.
I-AI ingasiza abathengisi ukuthi bathuthukise amaketanga abo okunikezwayo ngokuhlaziya idatha nokuhlonza amathuba okonga izindleko ukuze balawule kangcono izingcindezi ezibangelwa ukwehla kwamandla emali. Ama-algorithms e-AI angasiza ekuthuthukiseni imizila yezokuthutha, enze lula izinqubo zokuthenga, futhi akhombe abanye abahlinzeki bempahla noma izinketho zokuthola ukuze kuncishiswe umthelela wokwehla kwamandla emali ezindlekweni ze-supply chain.
Ukubikezela kwezidingo kanye nokuphathwa kokusungula ezinye izindlela abathengisi abangasebenzisa ngazo i-AI ukuphatha amaketanga okuhlinzeka abizayo. Amamodeli okubikezela isidingo esinamandla e-AI angasiza abathengisi ukuthi balindele izinguquko esidingweni sabathengi ngenxa yokwehla kwamandla emali. Ngokubikezela ngokunembile isidingo sesikhathi esizayo, abathengisi bangalungisa amaleveli e-inventory, baqinisekise ukutholakala kwemikhiqizo edumile, futhi bavimbele ukugcwala ngokweqile noma ukuncipha. Lokhu kusiza ukukhulisa imali yokusebenza kanye nokunciphisa ubungozi bokuphelelwa yisikhathi kwempahla noma ukuphela kwesitokwe, okungabiza kakhulu endaweni yokwehla kwamandla emali.
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