Inqubo yezimayini ihlaziya amalogi emicimbi yebhizinisi, inikeze abathengisi imephu yokusebenza enemininingwane futhi iveze ukungasebenzi, okuthi uma sekuxazululiwe, kuthuthukise kakhulu ukusebenza kahle kokusebenza.
Leli shumi leminyaka loshintsho emkhakheni wezokudayisa, futhi inqubo yezimayini inikeza abaholi bamabhizinisi ithuba elibalulekile lokubhekana nezinselele kanye nokubamba amathuba. Ukuthenga ku-inthanethi kubikezelwa ukuthi kuzophindeka kabili kule minyaka eyishumi. Ngaleso sikhathi, abathengisi babhekana nokusatshalaliswa okuyinkimbinkimbi kanye nokusetshenziswa kwe-supply chain, futhi kudingeka bathuthukise futhi bavumelane nokufeza imisebenzi endaweni yanamuhla entsha neyinkimbinkimbi.
Njengoba abathengi beshintshela kwezinye izindlela ezingabizi kakhulu (ama-80% ashintshela kumasayizi amaphakethe amancane nemikhiqizo eshibhile), asikaze sibe khona isikhathi esingcono sokuvuna imivuzo yokuhlanganiswa kwedatha nokucubungula izimayini ezithengiswayo. Ubuchwepheshe bunikeza ikhono lokudalula amathuba 'afihliwe' okushayela ukusebenza kahle, ukuthuthukisa imbuyiselo, nokuvula indlela yokwamukelwa kobuchwepheshe obufana nobuhlakani be-generative artificial intelligence (AI).
Inqubo yezimayini ihlaziya izinqubo zebhizinisi kusetshenziswa amalogi omcimbi, ukunikeza umbono osuka ekupheleni walokho okwenzeka ngempela ngaphakathi kwebhizinisi. Ngakho-ke iwufanela kahle umkhakha wokuthengisa osindayo.
Abathengisi bavame ukwenza izinkulungwane, noma amakhulu ezinkulungwane zemisebenzi nezinqubo kumasistimu amaningi nsuku zonke. Ukwazi ukuhlanganisa wonke lawo masistimu ngokuhlanganiswa kwedatha bese usebenzisa ubuhlakani benqubo, kunikeza ithuba elikhulu.
Ukuba nedatha yenqubo etholakala ngefomu elicacile, eliqondakala kalula kunikeza isithombe esiphelele sokuthi izinqubo zisebenza kanjani, okugqamisa izenzo ezingathuthukisa indlela abathengisi abasebenza ngayo.
Kungani ukucubungula ukusebenza kwezimayini
Inqubo yezimayini isebenza ngaphezu kwamasistimu akhona, ngakho abathengisi akudingeki 'baklebhule futhi babuyisele' ubuchwepheshe babo obukhona. Lokhu kunikeza abaholi bebhizinisi indawo ewusizo yokulungisa izinkinga. Ukuhlanganiswa kwedatha nokwenza umsebenzi wokumbiwa kwezimayini njengokuskena kwe-MRI, okunikeza isithombe esiphelele sokuthi izinqubo zisebenza kanjani, kanye nokuhlonza amathuba amanani afihliwe ngaphakathi kwezinhlelo.
Umthengisi oyedwa ohamba phambili ukwazile ukuzuza ukuthuthukiswa okungama-31% ekusetshenzisweni kwempahla, ngenxa yokucubungula ubuhlakani. Ubuhlakani bezinqubo buvumele lo mthengisi ukuthi abheke phezulu phezulu futhi athuthukise ukusebenzisana phakathi kwamaqembu ahlukene ekuhlelweni kokuhlinzeka, ezokuthutha nokusabalalisa. Inkampani isebenzise ubuhlakani benqubo ukunciphisa inani lamaloli ahlezi engenzi lutho, okunciphise izindleko zokuhamba, nokunciphisa amamayela omgwaqo kanye nokukhishwa kwekhabhoni, kusize inkampani ukufeza izinhloso zayo ze-ESG.
Ehhovisi elingemuva, inqubo yezimayini nayo ingathuthukisa ukusebenza kahle, ukusiza ukwenza izinqubo mathupha ngokuzenzakalela, nokugwema izinkinga ezifana nezinkokhelo eziyimpinda noma izaphulelo ezingafanelekile.
Isisekelo se-AI
Ukwazi kahle kanye nokuqonda idatha kubalulekile ekwamukeleni ubuchwepheshe obusha njenge-generative AI, futhi ukwazi ukuba nombono we-360-degree wokwenziwa kwebhizinisi kuyisitebhisi sokwamukela lobu buchwepheshe obubalulekile.
Isibonelo, umthengisi waseFrance u-Carrefour usanda kuhlanganisa amandla obuhlakani benqubo namandla okukhiqiza i-AI. Umthengisi, osebenza emazweni angu-40 anezitolo ezingaphezu kuka-14,000, uzama ukusebenzisa i-AI ekhiqizayo ukuze aqhathanise izingcaphuno ezivela kubathengi abangaqondile, esebenzisa i-ChatGPT ehlanganiswe nedatha etholakala ekuhlakanipheni kwenqubo.
Umthengisi ubike ukuthi ukuhlolwa kwakhe kobufakazi bomqondo kungahlaziya izingcaphuno ezivela kubathengi emizuzwini eyi-10 nje kuphela, kunemizuzu engama-30 eyithathayo uma yenziwe mathupha, okungenzeka konge inhlangano izinkulungwane zama-Euro.
I-Carrefour manje ihlola ukuthi isetshenziswa kanjani le nhlanganisela yobuhlakani benqubo kanye ne-generative AI kwezinye izindawo ezinjengokumaketha kanye nezinsiza zabantu (HR), egqamisa isikhathi nokongiwa kwezimali okufanele kwenziwe.
Ukuthuthukisa ukubuyisela
Amakhasimende ase-UK abuyise u-27% wezingubo zodwa zodwa onyakeni odlule, ezithengwe kubathengisi be-inthanethi. Ngembuyiselo ebiza amabhiliyoni abathengisi ngonyaka, ubuhlakani benqubo abukwazi nje ukwenza inqubo yokubuyisela isebenze kahle, kodwa futhi nokusondeza ezindabeni ezenza amakhasimende abuyisele izinto.
Ubuhlakani bezinqubo bungenza abathengisi bakwazi 'ukuhamba phambili' ezinkingeni eziholela ekubuyiselweni, kuyilapho begqamisa futhi bekhomba amaphutha aholela ekubuyiselweni kwama-oda noma akhanselwe kwasekuqaleni.
Umthengisi kanokusho waseSwitzerland, iGlobus, wasebenzisa inqubo yezimayini ukuhlonza inkinga eholela ekubuyiselweni emabhizinisini ayo, ukuthola ukungasebenzi kahle okucashe 'phakathi' kwezinhlelo ezihlukene okwenze amakhasimende abuyisa izimpahla. Ngenxa yalokhu kungasebenzi kahle okufihliwe, kube nokwenzeka ukuthi ikhasimende elilodwa ligcine into ku-inthanethi, kanti elinye lithenge into efanayo.
I-Globus isebenzise ubuhlakani benqubo ukuze yehlise inani lokukhansela lilonke ngo-20%, futhi yethula ideshibhodi yezokuthutha eyenza inhlangano ikwazi ukubona ngeso lengqondo izikhathi zokuphuma kanye nezilinganiso zokubuyisela ngesikhathi sangempela.
Kumakhasimende anamuhla, ukubuyisela okusebenzayo kuyingxenye yesevisi yamakhasimende ebalulekile, futhi isevisi encane ingaxosha amakhasimende. Ukuhleleka kahle kwe-'reverse logistics' ezimbuyiselweni, eziqhutshwa yimininingwane evela ku-process intelligence, kusho ukuthi imikhiqizo ebuyiswayo ingadayiswa kabusha ngokushesha. Lokhu kusho ukuthi amabhizinisi awazabalazi ngezinto ezigcwele kakhulu nezingenasitoko, kuyilapho egcina izindleko zokuhamba, ukugcinwa kanye nokuphathwa kwezimali ezibuyiswayo ziphansi.
Ikusasa elisebenza kahle kakhulu
Kubaholi emkhakheni wezokudayisa, isikhathi sokusebenzisa amathuba anikezwa ukuhlanganiswa kwedatha kanye nobuhlakani benqubo manje. Ubuhlakani benqubo abusizi nje ukwenza lula izinqubo zebhizinisi, kodwa futhi budala isinyathelo esiphelele sokwamukela ubuchwepheshe obusafufusa njenge-generative AI.
Okubaluleke kakhulu, kungasiza futhi ukushayela ukwaneliseka kwamakhasimende ezindaweni ezifana nokubuyisela. Ngokushintshashintsha kokuthengisa njengoba kukhuphuka amathuba okuthenga ku-inthanethi kanye nabathengi abakhathalela kakhulu izindleko bethenga bezungeza amadili, i-process intelligence inikeza ithuluzi lokusiza abathengisi ukuthi bahlale bephambili emhlabeni ohamba ngokushesha.
Mayelana umbhali: U-Rupal Karia usanda kuqokwa njengoMholi Wezwe I-UK&I enkampanini yokucubungula idatha i-Celonis.
Umthombo ovela I-Retail Insight Network
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