Indlela i-AI kanye nokulandelela ngesikhathi sangempela okushintsha ngayo ukuphathwa kwempahla
Isingeniso
Kwaphela amashumi eminyaka, ukuphathwa kwempahla kwakusebenza ngolwazi olungaphelele. Ukuthunyelwa kwashiya imboni eShenzhen, kwanyamalala kunethiwekhi yezokuthutha, kwabe sekuvela kabusha—ngezinye izikhathi ezinsukwini kamuva—kungaba lapho kwakuya khona noma njengenkinga okwakudingeka ichazelwe iklayenti elingajabule. Ukubonakala kwakungeyona indlela; kwakuwumusa. Ngemva kwalokho, izinqumo mayelana nokushintsha umzila, ukuphinda kufakwe impahla, noma ukusebenza kwenkampani kwenziwa ngokusekelwe emibikweni eyayisiphelelwe yisikhathi lapho ifundwa.
Manje, leyo ndlela yokwenza ibhizinisi iyaphulwa. Ubuhlakani bokwenziwa kanye nobuchwepheshe bokulandelela ngesikhathi sangempela, obusekelwe ezinzwa ze-IoT, amanethiwekhi e-GPS, amapulatifomu amafu, kanye nezinjini zokufunda komshini, buhlangene ukudala into imboni yezokuthutha engakaze ibe nayo ngaphambili: ikhono lokubona okwenzekayo kulo lonke uchungechunge lokuhlinzeka njengoba kwenzeka kanye nokwenza isinyathelo ngaphambi kokuba izinkinga zibe yizinkinga. Inani lemali eliye kulolu shintsho libalulekile. Imakethe yomhlaba wonke yezinhlelo zokuphatha imithwalo ibiza u-$19.76 billion ngo-2025 futhi kulindeleke ukuthi ikhule ibe u-$43.21 billion ngo-2034. I-Intanethi Yezinto (IoT) kwezokuthutha kulindeleke ukuthi ikhule isuka ku-$61.17 billion ngo-2025 iye ku-$161 billion ngo-2032. Imakethe yesofthiwe yokubonakala kwe-supply chain ikhula ngesilinganiso sama-24.98% minyaka yonke. Lokhu akuzona nje izibikezelo; zibonisa ukuthi imali iya ezinhlelweni ezishintsha indlela imithwalo ehamba ngayo.
Lesi sihloko sibheka ukuthi lolo shintsho lubukeka kanjani empilweni yangempela, kufaka phakathi izinhlelo zokusebenza ezithile eziholela emiphumeleni ebonakalayo, ukuguquguquka kwemakethe okusheshisa ukwamukelwa, izinkinga zangempela ezisekhona, nokuthi kusho ukuthini ezinkampanini ezithutha imithwalo phakathi kweShayina nomzila wase-US nangale kwawo.
Kungani Ukubonakala Kwempahla Kwaba Yinkinga Eyinhloko Yemboni
Akubanga ngengozi ukuthi ukulandelela ngesikhathi sangempela kwaba yinto ebaluleke kakhulu kwezobuchwepheshe bezokuthutha. Kwaba yinto ebalulekile ngoba izindleko zokungabi nayo zaphenduka zaba ziphezulu kakhulu kunalokho izinkampani eziningi ezazikucabanga ekuqaleni. Ngo-2024, inani lezikhathi lapho izintambo zokuhlinzeka zaphazamiseka khona lakhuphuka ngo-32% ezimbonini eziningi. Abakhiqizi abangaphezu kuka-78% emhlabeni wonke bathi abakwazanga ukubona bonke abahlinzeki babo. Kodwa eminyakeni embalwa edlule, impendulo ethi “Kuphi ukuthunyelwa kwami?” yayihlala ifana:” kwakuyikholi yocingo kumthengisi wezimpahla, ukuhlolwa kwewebhusayithi engasebenzi yomthwali, kanye nomdlalo wokulinda.
Ukwanda kwezentengiselwano ze-inthanethi kwasheshisa ukubalwa kwezimali. Abantu ababejwayele ukulandelela iphakheji kusuka esitolo sokugcina impahla eNew Jersey baqala ukulindela izinga elifanayo lokunemba kusuka esitsheni esidlula ePacific. Lokho kucindezela okuvela kokulindelekile kwageleza ochungechungeni, okwenza izinkampani zezimpahla zichithe imali engqalasizinda ukuze zinikeze izimpendulo zangempela esikhundleni sokubikezela nje. Ngonyaka ka-2025, ukulandelela ngesikhathi sangempela kuzoba yingxenye enkulu yemakethe yesofthiwe yokubonakala kweketanga lokuhlinzeka. Ngaphezu kwama-58% okuthunyelwa kusezinkundleni ezisekelwe efwini ngoba amaqembu asatshalaliswa emhlabeni wonke kwakufanele akwazi ukufinyelela idatha ebukhoma kusuka kunoma iyiphi idivayisi nakunoma iyiphi indawo yesikhathi.
Isimo sentela ngo-2025 senza izinto zaba phuthumayo kakhulu. Izinguquko zakamuva emananini entela ase-US zenze izindleko zokuhamba zanda emhlabeni wonke futhi zenza izinkampani zashintsha ngokushesha izinhlelo zazo zokuthola impahla. Izinkampani ezazingenalo ukubonakala kwesikhathi sangempela ezinhlanganweni zazo zokuhlinzeka azikwazanga ukusabela ngokushesha okwanele ezinguqukweni zomzila, ukuhlukaniswa kabusha kwentela, noma izidingo ezintsha zokuthobela imithetho. Izinkampani ezenze kahle kakhulu phakathi nalezo ziphazamiso yizo ezazinezinhlelo zezokuthutha ezazisekelwe kakade kudatha yesikhathi sangempela esikhundleni semibiko eyayiphelelwe yisikhathi.
I-AI ekuThuthweni: Ngale Kwezwi Elivamile
Izibalo Eziqagelayo kanye Nesibikezelo Sesidingo
Ukusetshenziswa okuwusizo kakhulu kwe-AI ekuthwaleni impahla akuyona into esobala kakhulu. Ukuhlaziywa kokubikezela kusebenzisa ukufunda komshini ukubheka izitayela zesikhathi esidlule, okufakwayo kwamanje, kanye nezimpawu zangaphandle ukubikezela isidingo nokuhlela izinkinga. Kusebenza buthule, ngemuva kwezigcawu, ezinhlelweni zokuhlela, ukuze izinkinga zingaveli ngisho nasesikrinini somthumeli. Ngokusho kukaMcKinsey, ukubikezela okuthuthukisiwe kwe-AI kunciphisa amaphutha ochungechungeni lokuhlinzeka ngo-30% kuya ku-50%. Ukubikezela kwesidingo okuqhutshwa yi-AI kunciphisa amaphutha okuhlela izinto ngo-30%, kuyilapho ukunemba kokuhlela umthamo wempahla kukhuphuke ngo-25% phakathi kwabasebenzisi. Lezo zibalo zisho amaloli ambalwa angenalutho, amakhonteyina asetshenziswa kangcono, kanye nokufanelana okungcono phakathi kokuhlinzekwa nesidingo sangempela somthwali osebenzisa amakhulu emizila.
Ukusetshenziswa kokuphatha ukuphazamiseka kufanele kuqashelwe kakhulu. Lapho inkinga yoLwandle Olubomvu ishintsha indlela yokuhamba kwezimoto eziningi ezithwala amakhonteyina ngo-2024, izinkampani ezinamapulatifomu okubonakala asebenzisa i-AI zakwazi ukuhlela imizila emisha, ukuthola ama-ETA amasha, nokukhuluma nabathengi ngendlela ephumelelayo ngenkathi izimbangi zazo zisashayela ucingo ngezandla. Iphethini efanayo iyasebenza ekuminyaneni kwamachweba, isimo sezulu esibi, iziteleka, kanye nokuntuleka kwamandla okungazelelwe. I-AI ivumela abaphathi bezimpahla ukuthi balungise izinkinga ngaphambi kokuba amakhasimende azithole esikhundleni sokuzichaza ngemva kokuba zenzeke.
Ukuthuthukiswa Kwemizila Nokuhlela Umthwalo Oguquguqukayo
Ukulungiswa kwemizila ye-AI sekuhambe ibanga elide selokhu amapulatifomu e-TMS esizukulwane sokuqala asebenzisa ama-algorithms alula “emizila emfushane”. Izinhlelo zesimanje zithatha idatha yethrafikhi yesikhathi sangempela, ukuminyana kwechweba, izibikezelo zesimo sezulu, imithetho yamahora okusebenza komshayeli, kanye nezinguquko emananini kaphethiloli konke ngesikhathi esisodwa. Bese zidala imizila ethuthukisa izindleko eziphelele esikhundleni sebanga nje. Izinkampani ezisebenzisa i-AI ukwenza ngcono imizila yazo zithi ukuthuthwa kwempahla yazo kusebenza kahle ngo-25% kanti ukusetshenziswa kwazo kukaphethiloli kuphansi ngo-15% kuya ku-20%. Abanye abathwali bezimoto babone amamayela amaloli angenalutho ehla ngamaphesenti afinyelela ku-50 ngenxa yokuhlela umthwalo ozenzakalelayo, okuhlanganisa ngobuhlakani izimpahla ukunciphisa amamayela angenalutho.
NgoMashi 2025, iFreight Technologies Inc. yakhipha i-AI Tendering Bot yayo kanye neplatifomu yayo ye-TMS. Lokhu kwenza inqubo yokuthumela imithwalo ibe ngokuzenzakalelayo, okwakuvame ukuhilela ukuthumela ama-imeyili nokwenza izingcingo. Lolu hlobo lokuzenzakalela kwesisombululo samaphuzu, oluhlanganiswe emisebenzini eminingi emsebenzini wokuthutha impahla, yindlela okwenziwa ngayo izinombolo zokusebenza kahle ezinhlolovo zokwamukelwa kwe-AI.
Amadokhumenti Okuzenzakalelayo
Esikhathini esidlule, imibhalo yezimpahla ibilokhu ingenye yezingxenye ezisetshenziswa ngesandla, ezivame ukwenza amaphutha, futhi ezidla isikhathi esiningi zochungechunge lwezokuthutha. Amabhili okulayisha impahla, izimemezelo zamasiko, izitifiketi zemvelaphi, ama-invoyisi, amafomu okuthobela imithetho, kanye neminye imibhalo konke kudinga ukufakwa kwedatha okulungile, ukubhekisela kwamanye amazwe, futhi ngokuvamile amasignesha noma izitembu ezivela kubantu abangaphezu koyedwa. Izinhlelo ze-AI Zokucubungula Ulimi Lwemvelo (i-NLP) manje sezingafunda, ziqonde, futhi zigcwalise la maphepha ngokushesha nangokunembile kunabantu. Imisebenzi esebenzise ukuzenzekela kwedokhumenti ye-AI inciphise izindleko zayo zokuphatha ngamaphesenti angama-40%. Impikiswano yokuthembeka inamandla njengeyokusebenza kahle, ikakhulukazi yempahla ewela imingcele, lapho iphutha elilodwa emaphepheni lingaholela ekulindeni kwamasiko okubiza kakhulu kunokonga ekuphathweni.
Imakethe Engemuva Kwesisusa: Idatha Eyisihluthulelo
Ithebula elilandelayo likhombisa ukuthi ingakanani imali etshalwa kubuchwepheshe be-AI kanye ne-IoT logistics kusukela ngo-2025, ngokusekelwe ocwaningweni lwamanje lwemakethe:
| Ingxenye | Usayizi Wemakethe ka-2024–2025 | isibikezelo | I-CAGR |
| Izinhlelo Zokuphatha Izimpahla (Emhlabeni Wonke) | I-USD 19.76 bhiliyoni (2025) | I-USD 43.21 billion ngo-2034 | 9.4% |
| IoT ku-Logistics | I-USD 61.17 bhiliyoni (2025) | I-USD 161.17 billion ngo-2032 | 14.84% |
| Isofthiwe Yokubonakala Kwe-Supply Chain | I-USD 1.74 bhiliyoni (2025) | I-USD 12.94 billion ngo-2034 | 24.98% |
| Imakethe Yezokuthutha Exhunyiwe | I-USD 38.04 bhiliyoni (2024) | Ukukhula okunamandla kuze kube ngu-2030 | 14.9% |
| I-AI ekuThuthweni (CAGR kuya ku-2028) | - | - | 21.4% |
| I-IoT Powered Logistics (ebanzi) | I-USD 17.5 bhiliyoni (2024) | I-USD 809 billion ngo-2034 | 46.7% |
Lezi zinombolo zibonisa ukuthi lo mkhakha udlula oshintshweni oluyisisekelo, hhayi igagasi elijikelezayo lokutshalwa kwezimali ezintsha. Imakethe yohlelo lokuphathwa kwempahla ikhula ngesilinganiso esingu-9.4% ngonyaka. Imakethe yesoftware yokubonakala kweketanga lokuhlinzeka iyanda ngesilinganiso esingaba ngu-25% ngonyaka. Lesi yisigaba esakhiwa phezu kwayo. I-CAGR engu-46.7% yemakethe ye-logistics esebenzisa i-IoT ikhombisa ingqalasizinda yehadiwe kanye nezokuxhumana eyenza kokubili okungenhla kwenzeke. I-Asia-Pacific yindawo ekhula ngokushesha ngenxa yokutshalwa kwezimali kumachweba ahlakaniphile kanye nokukhula kwe-IoT yeselula. I-US inengqalasizinda esetshenziswa kakhulu eNyakatho Melika. Imboni ye-logistics esebenzisa i-IoT yayibiza u-$6.65 billion ngo-2024 futhi kulindeleke ukuthi ikhuphuke ngesilinganiso esingu-41.8% ngonyaka.
Ukulandelela kwe-IoT Yesikhathi Sangempela: Yini Eshintshayo Uma Ungabona Konke
Ukubonakala okugcwele ngesikhathi sangempela kunomthelela oyisisekelo endleleni umsebenzi wokuthutha impahla osebenza ngayo, hhayi nje oqhubekayo. Inqubo yokuphathwa kokungafani, ehilela ukuthola nokubhekana nokuthunyelwa okungahambi njengoba kuhleliwe, iyashintsha kusukela ekubeni yinto esabelayo iye ekubeni yinto esabelayo. Uma isitsha esinikwe amandla yi-IoT sibambezeleka echwebeni lokuthutha impahla, ideshibhodi yomphathi wempahla ithola i-alamu ngaphambi kokuba umthumeli abe nesizathu sokukhathazeka. Lapho izinga lokushisa elolini eliqandisiwe elithutha izidakamizwa lenyuka noma lehla, inzwa ithumela isaziso ngesikhathi sokulimisa, kodwa hhayi ngesikhathi sokufaka umbiko womonakalo.
Idatha ye-cold chain iyathakazelisa kakhulu. Ukusebenzisa i-IoT ekuphathweni kwe-cold chain kwenze imishini yasebenza kangcono ngo-25%. Ukuhlaziya okubikezelayo ekusebenzeni kwe-cold chain kusize ekumiseni izinkinga ezifika ku-75% ku-supply chain. Ukulandelela nge-IoT kunciphise ukuthunyelwa okulahlekile ngo-23% kuzo zonke izigaba zempahla. Lezi akuzona izinzuzo ezincane zempahla ethinta isikhathi noma ebiza imali eningi, okuhlanganisa izinto zikagesi, imithi, nezingxenye zezimoto. Ukwehluleka okukodwa kwe-cold chain okugwenywe kungonga imali eningi kunezindleko zonke zokuthunyelwa kwe-IoT unyaka wonke.
Izinhlelo zokusebenza ze-Geofencing sezihambe ibanga elide. Izinhlelo zokuqapha i-IoT kanye ne-geofencing—izixwayiso ezizenzakalelayo eziphuma lapho ukuthunyelwa kuphambuka endleleni—zenze ukwebiwa kwempahla kanye nokulahleka kwayo kwangasavamile kakhulu. Lezi zindlela zisetshenziswa kakhulu ekuthunyelweni kwezimpahla ezinenani eliphezulu okuhlanganisa ama-semiconductor, izinto zokunethezeka, kanye nemithi. Ukuphathwa kwemikhumbi manje kwenza u-32.47% wemboni yezokuthutha ye-IoT ngokusetshenziswa. Ukulandelela impahla kunesilinganiso sokukhula sonyaka esihlanganisiwe (i-CAGR) esingu-14.63% njengoba ukuqapha isimo kuba yinto ejwayelekile yezimpahla ezinenani eliphezulu.
Kukhona indlela entsha yokulandelela imithwalo yolwandle. I-AIS (Automatic Identification Systems) kanye nezixazululo zokubikezela ezisebenzisa i-AI manje zivumela abaphathi bemithwalo ukuthi babone indawo eqondile yomkhumbi futhi banikeze izilinganiso ze-ETA ezicabangela isimo sezulu, izinguquko endleleni, kanye nokuminyana kwemikhumbi. Ngo-2024, inani lamadivayisi okulandelela asebenzisa i-IoT okuthutha imithwalo yolwandle lakhuphuka ngo-52% emhlabeni jikelele. Lokhu kwakungenxa yokuthi amabhizinisi ayefuna ukubheka izimo zezulu ngesikhathi sangempela sempahla ezwela izinga lokushisa. Enye inkampani yokusabalalisa inciphise izimali zokuboshwa kanye nokunciphisa intela ngo-40% ngokuthumela nje izaziso zokuhlela imikhumbi kusenesikhathi ngemuva kokufaka ukulandelwa okusebenzise i-IoT. Lokhu kuyimbuyiselo eyodwa, ebonakalayo ekutshalweni kwezimali (i-ROI) eqinisekisa icala lebhizinisi lokuqaliswa.
Izicelo ze-AI kanye ne-IoT ku-Freight: Lokho Ezikwenzayo Nalokho Ezikulethayo
| Isicelo se-AI/IoT | Lokho Kwenzayo | Umphumela Okaliwe |
| Isibikezelo Sesidingo Esibikezelwayo | Ihlaziya idatha yomlando + yesikhathi sangempela ukuze ifinyelele kumanani empahla yephrojekthi | Amaphutha ochungechunge lokuhlinzeka ancishisiwe ngo-30–50% (McKinsey) |
| Ukuthuthukisa Umzila we-AI | Ishintsha imizila ngokuguquguqukayo ngokusekelwe kuthrafikhi, isimo sezulu, isimo sechweba | Ukulethwa okusheshayo ngo-25%; ukuncishiswa kukaphethiloli ngo-15–20% |
| Ukulandelela Ukuthunyelwa Kwe-IoT Kwesikhathi Sangempela | Ukubonakala bukhoma okusekelwe ku-GPS/sensor kulo lonke uhambo | Ukwehliswa kwezindleko zezokuthutha ngo-20–30%; ukuthunyelwa okulahlekile kunciphile ngo-23% |
| Ukugcinwa Kwemikhumbi Ebikezelayo | Iqapha impilo yezimoto futhi iveze ukwehluleka kwazo ngaphambi kokuba kwenzeke | Izindleko zokulungisa eziphansi kufika ku-40%; isikhathi sokuphumula esiphansi ngo-50% |
| Imibhalo Ezenzakalelayo (i-NLP) | Ufunda, agcwalise, futhi afake ama-BoL, amafomu entela, ama-invoyisi | Izindleko zokuphatha zehliswe zafika ku-40%; amaphutha angenziwa ngesandla acishe abe yi-zero |
| Amanani e-AI Dynamic | Ilungisa amazinga okuthutha ngesikhathi sangempela ngokwesidingo kanye nomthamo | Ukwehla kwezindleko zokuhamba ngo-15–20%; ukulawulwa kwe-margin okuthuthukisiwe |
| Ukuqapha kwe-Cold Chain IoT | Izexwayiso zokushisa/zomswakama eziqhubekayo zemithwalo ebucayi | Ukusebenza kahle kwemishini okungcono ngo-25%; ukuphazamiseka okunciphile ngo-75% |
| I-AI-Powered Exception Management | Ukuphambuka kwamafulegi; kuncoma izenzo zokulungisa ngokuzenzakalelayo | Isixazululo esisheshayo; ukwaneliseka kwamakhasimende okuphezulu ngo-15% |
Izinselele Ezingenakucatshangwa
Kukhona icala eliqinile le-AI kanye nokulandelela impahla ngesikhathi sangempela, kodwa kusenezinkinga ezinkulu okudingeka zixazululwe ngaphambi kokuba zisetshenziswe kabanzi. Imboni ayizisizi ngokunciphisa lezi zinkinga. Izinkinga ezibalwe ngezansi ziyizinkinga zangempela izinkampani zezokuthutha zabo bonke osayizi ezibhekene nazo.
| Challenge | Umthelela Womhlaba Wangempela | Ukunciphisa Okusebenzayo |
| Ukutshalwa kwezimali okuphezulu kwe-IoT/AI kusengaphambili | Ivimbela ama-SME; ukubonakala kwe-ROI okuhamba kancane | Qala ngemizila enobungozi obukhulu; sebenzisa amapulatifomu okubhalisela i-IoT |
| Ukuhlanganiswa kwe-TMS/WMS yakudala | Amathuluzi amasha awaxhumi ezinhlelweni ezindala | Izixhumi ze-API yokuhlola; beka phambili amapulatifomu e-cloud-native |
| Ubungozi bokuphepha kwe-inthanethi | I-Logistics iyisisulu esiphezulu se-ransomware | Ukwakhiwa kwe-Zero-trust; ukuqeqeshwa kwe-phishing kwabasebenzi |
| Ukugcwala kwedatha ngaphandle kokuhlunga i-AI | Xwayisa ukukhathala; izinqumo ziba kancane | Ukutholwa kwe-AI okungavamile kumasignali asebenzayo kuphela avela phezulu |
| Igebe lamakhono abasebenzi | Amaqembu awakwazi ukuthola inani eliphelele kumathuluzi | Ukuthuthukiswa kwamakhono okuhlelekile; Izixhumi ze-AI copilot |
| Izindinganiso zedatha ezingahambisani | Idatha yokulandelela yezinkampani eziningi ayihambisani | Yamukela amazinga ajwayelekile e-BoL/isitsha ngama-API |
Ukuphepha kwe-inthanethi kufanele kugxilwe kukho. Njengoba imisebenzi yokuthutha ixhunyaniswa kakhulu nge-Intanethi Yezinto (IoT) nama-API axhumanisa abathumeli, abathwali, iziphathimandla zamasiko, kanye nabaqhubi bechweba, indawo yokuhlasela ye-ransomware kanye nokwebiwa kwedatha ikhula kakhulu. Izifundo zosongo lwe-inthanethi zihlala zibeka ezokuthutha kanye ne-logistics phezulu ohlwini lwezimboni ezivame ukubhekiswa kuzo. Ukuhlaselwa kwe-ransomware okuvala i-TMS yomthwali ngesikhathi sesizini esiphezulu kungabiza kakhulu kunemizamo yokuphepha ebingayimisa. Isimo sokuphepha kwe-inthanethi somqhubi sidinga ukuba sivuthwe njengengqalasizinda yayo yedijithali, hhayi ngemuva kwayo.
Isici sokuhlela singokoqobo. Ngokusho kwe-Gartner's Future of Logistics Survey, enye yezinkinga ezinkulu ezivimba amabhizinisi ekutholeni inzuzo ekutshalweni kwezimali kwawo kwezobuchwepheshe akuyona ubuchwepheshe uqobo, kodwa iqiniso lokuthi abantu, izinqubo, namathuluzi edijithali awasebenzi ndawonye. Izinjini zokuncoma ze-AI ezingasetshenziswa muntu, ukulandelela amadeshibhodi angabukwa muntu, kanye nama-alamu ahlukile aya emabhokisini okungenayo angabhekwa muntu konke kuyizimpawu zenkinga efanayo: ubuchwepheshe busetshenziswa ngokushesha kunokuba isiko lebhizinisi lingabusingatha. Izinkampani ezizuza kakhulu kula mathuluzi zenze uhlangothi lomuntu lokwamukelwa njengoba kuhlelwe njengohlangothi lwezobuchwepheshe.
Ubuchwepheshe Buyeza Okulandelayo
Ubuchwepheshe obusha obuningana bushintsha kusukela ezinhlelweni zokuhlola kuya ezinhlelweni zokuthutha impahla zezentengiselwano, futhi buzoba izinguquko ezinkulu ezilandelayo ekuphathweni kwempahla.
Isihloko okukhulunywa ngaso kakhulu ngamaloli azishayela wona. Amaloli asebenzisa i-AI anezinzwa ezithuthukisiwe, ukuzulazula kokufunda komshini, kanye nokucubungula idatha ngesikhathi sangempela asevele esebenza emigwaqweni ethile e-United States. Ngo-2030, kulindeleke ukuthi u-11% wezokuthutha izimpahla uqhutshwe ngamaloli azishayela wona. Izinkampani ezifana ne-UPS ne-Amazon zibona izinhlelo zezimoto ezizishayelayo njengokutshalwa kwezimali kwengqalasizinda okunesu esikhundleni sobuchwepheshe obusha nje. Imiphumela cishe izobonakala kakhulu ekusebenzeni okude phakathi kwama-hub esikhathini esizayo esiseduze. Ngemuva kwalokho, azokhula abe yizimo zokulethwa zemayela lokugcina, ezisayinkimbinkimbi kakhulu ngokombono wokulawula nowomzimba.
Amawele edijithali, angamakhophi angokoqobo engqalasizinda yangempela yezokuthutha ehlala ivuselelwa ngedatha ye-IoT ebukhoma, aya ngokuya ethandwa kakhulu njengamathuluzi okuhlela nokulingisa. Ngaphambi kokwenza ukutshalwa kwezimali kwangempela, abaphathi bezindawo zokugcina impahla basebenzisa amawele edijithali ukuhlela izinguquko zesakhiwo nokuqhuba izimo zesikhathi esimatasa. Lapho idatha yesenzwa ye-IoT ithunyelwa njalo kumawele edijithali, imodeli ihlala isesikhathini. Lokhu kwenza ukuhlela nokwenza izinqumo kube okunembe kakhulu kunokusebenzisa izithombe zomlando.
Kuyacaca ukuthi indima ye-blockchain ekuthwaleni impahla. Ukubaluleka kwayo akukhona ekushintsheni izinhlelo zokulandelela zamanje; kusekwenzeni amarekhodi angenakushintshwa futhi angabiwa phakathi kwabantu abangathembi amarekhodi omunye nomunye. Uma kugcinwa ku-blockchain, ama-bill of lading, izitifiketi zomsuka, kanye nama-custom bond awakwazi ukushintshwa futhi angahlolwa yiwo wonke umuntu ngesikhathi esisodwa. Izinkontileka ezihlakaniphile ezenza izinkokhelo ngokuzenzakalelayo lapho ukulethwa kuqinisekiswa, noma zikhulula ama-custom bond lapho idatha yenzwa ikhombisa ukuthi izimo zokuthunyelwa zihlangatsheziwe, zinciphise izingxabano kanye nemijikelezo yokuphatha ngendlela enkulu. Kwikota yokuqala ka-2025, i-UPS isebenzisane ne-Microsoft ukusebenzisa i-AI kanye ne-Internet of Things (IoT) ukuthuthukisa ezokuthutha. Kwikota yesibili ka-2025, i-Flexport iqoqe uxhaso lwe-Series E olungamaRandi ayizigidi eziyi-100 ukuze ikhulise ipulatifomu yayo yezokuthutha ye-IoT. Lokhu kufezwa kwamuva nje kubonisa ukuthi ukutshalwa kwezimali kugagasi elilandelayo lobuchwepheshe bezokuthutha kusaqinile, akunciphisi ijubane.
Indlela Ukuthunyelwa Kwemikhumbi Ephakeme Okwakha Ngayo Kule Nsizakalo
I-Topway Shipping ibilokhu ingumhlinzeki onekhono wezixazululo ze-e-commerce logistics ezivela kwamanye amazwe kusukela ngo-2010. Indlunkulu yayo iseShenzhen, eShayina. Ithimba elisungule linolwazi olungaphezu kweminyaka eyi-15 kwezokuthutha kwamanye amazwe kanye nokususwa kwezimpahla zangaphandle, linolwazi oluningi kwezokuthutha phakathi kweShayina ne-US, okungenye yezindlela zokuthutha ezimatasa kakhulu neziyinkimbinkimbi kakhulu emhlabeni. Izinsizakalo zimboza lonke uchungechunge lwezokuthutha, kusukela kwezokuthutha zokuqala kuya kwamanye amazwe. kugcinwa ekukhishweni kwentela kuya ekulethweni okuhamba ibanga elide. Baphinde banikeze ezinye izindlela zokuthutha olwandle ze-FCL kanye ne-LCL eziguquguqukayo ezivela eShayina kuya emachwebeni amakhulu emhlabeni jikelele.
I-AI kanye nokulandelela ngesikhathi sangempela kwenza izinguquko amakhasimende e-Topway angazibona futhi azizwe. Lapho kuthunyelwa izimpahla phakathi kwe-China ne-US, kunemithetho eminingi eshintsha ngokushesha, njengezinguquko ekuhlukanisweni kwentela, izidingo zamaphepha entela, kanye nezahlulelo mayelana nendlela yokuhambisa izimpahla emachwebeni. Ayikho imodeli yokusebenza engaguquki engahambisana nalezi zinguquko. Ukukwazi ukulandelela ukuthunyelwa ngesikhathi sangempela, ukwenza amaphepha ngokuzenzakalelayo, nokuthola izexwayiso mayelana nokusulwa kwamaphepha ngaphambi kokuba kwenzeke akuzona izici ezengeziwe kulo mzila; ziyizidingo eziyisisekelo zesevisi enhle. Ubambiswano lwe-Topway oluhlala isikhathi eside nabathwali, ulwazi lwentela, kanye nengqalasizinda yobuchwepheshe lunikeza amakhasimende ukufinyelela ngesikhathi sangempela e-China-US yabo Esikhundleni sokulinda izibuyekezo, iketanga lokuhlinzeka.
Ezinkampanini ezandisa imisebenzi yazo ye-e-commerce ngaphesheya kwemingcele, izindawo zokugcina impahla ze-Topway kanye namakhono okugcina, asekelwe ekubonakaleni kwedatha okufanayo okulawula umlenze wempahla olwandle, enza uchungechunge lokuhlinzeka olusebenza njengohlelo oluxhunyiwe esikhundleni sochungechunge lokudluliselwa. Lokhu kusho ukuthi ukunemba kokuhlela isitokwe kuthinta ngqo ukusebenza kahle kwemali. Njengoba i-AI kanye ne-IoT ziphakamisa ibha yokuthi ukubonakala kokuphathwa kwempahla kufanele kubukeke kanjani, leyo ndlela ehlanganisiwe yiyo ehlukanisa umlingani wezokuthutha nomthengisi wezokuthutha.
Lokhu Kusho Ukuthi Kubantu Abathatha Izinqumo Zempahla Namuhla
Kubaphathi bezokuthutha kanye nabaphathi be-supply chain abenza izinqumo zobuchwepheshe njengamanje, isidingo samasu siyabonakala, noma ngabe izinketho zokwenza azikho: ingqalasizinda yokubonakala idinga ukuza kuqala ngaphambi kokuba izinhlelo zokusebenza ze-AI ezithuthukisiwe ngaphezulu kwayo zinganikeza inani. Uma usebenzisa idatha endala ukusebenzisa injini yokuhlaziya ebikezelayo, izokwenza izibikezelo ezindala. Indlela yamanani enamandla engakwazi ukuqapha umthamo wenkampani yesikhathi sangempela idala izinketho ezingahambisani nemakethe. Isisekelo ukuqinisekisa ukuthi izinhlelo zithola idatha ejwayelekile, ethembekile, yesikhathi sangempela ezingayisebenzisa.
Ukukhetha kwesibili kumayelana nabalingani. Emakethe lapho wonke umuntu othumela impahla kanye ne-3PL bekhuluma nge-AI ezikhangisweni zabo, okuwukuphela kwento ebahlukanisayo ukuthi ubuchwepheshe bungaxhumanisa nedatha yokusebenza yesikhathi sangempela, banikeze imiphumela engasetshenziswa, futhi basebenzisane ne-TMS noma i-ERP yomthumeli. Esikhundleni sokubheka nje i-PowerPoint enamandla, cela umlingani wezokuthutha ongaba khona ukuthi akuqondise ngokuhamba komsebenzi wakhe wokuphatha okuhlukile, akubonise ukuthi i-API yakhe yokulandelela ixhumana kanjani, futhi achaze ukuthi bakwazisa kanjani lapho kudingeka imvume yamasiko. Lokhu kuhlukanisa into yokusebenza nokuma.
Izinkampani ezizoba ngcono kakhulu ekuphatheni imithwalo yempahla kulo lonke leli shumi leminyaka yizo ezakha manje phezu kwengqalasizinda yedatha kuqala. Lokhu kufaka phakathi ukubonakala okunikwe amandla yi-IoT kuzo zonke izindlela, ukwesekwa kwezinqumo okusekelwe yi-AI kuzo zonke izindawo zokuthatha izinqumo zokusebenza, kanye nesiko elikhuthaza abantu ukuthi benze lokho okushiwo yidatha. Ubuchwepheshe bukhona. Ubufakazi be-ROI bubhaliwe phansi. Okuwukuphela kwento okusele okufanele yenziwe ukusheshisa ukwenziwa, okuyikho okukunikeza ithuba lokuncintisana emakethe lapho izinkinga zokunikezela zingase zenzeke nganoma yisiphi isikhathi.
Isiphetho
Ibhizinisi lokuphathwa kwempahla lidlula oshintshweni olukhulu oluzokhunjulwa njengokubaluleka kokufakwa kwempahla. Ubuchwepheshe be-AI kanye nokulandelela ngesikhathi sangempela akwenzi kube lula izinqubo zamanje; kunalokho, zishintsha indlela imithwalo ehlelwa ngayo, esetshenziswa ngayo, eqashwe ngayo, futhi etholwa ngayo ngaphandle. Idatha yemakethe ikwenza kucace ukuthi izinto zihamba kanjani: izinhlelo zokuphathwa kwempahla, ingqalasizinda yezokuthutha ye-IoT, kanye nesofthiwe yokubonakala kweketanga lokuhlinzeka konke kuyanda ngamanani abonisa ukwamukelwa kwesakhiwo kunokutshalwa kwezimali okujikelezayo.
Izinzuzo zicacile futhi zingalinganiswa: Ukwamukelwa kwe-IoT kunciphisa izindleko zezokuthutha ngo-20 kuya ku-30%, ukulungiswa komzila we-AI kusheshisa izikhathi zokulethwa ngo-25%, kanye nobuchwepheshe bokubikezela imikhumbi bunciphisa izindleko zokulungisa ngo-40%. Lokhu akuzona izibikezelo ezivela ezinkampanini zobuchwepheshe; lena yimiphumela yangempela ebikwe yizinkampani ezisebenzise lezi zindlela futhi zalinganisa imiphumela.
Kukhona nezinkinga zangempela, njengokuthi kunzima kangakanani ukuhlanganisa izinhlelo ezahlukene, ukuthi zisengozini kangakanani ekuhlaselweni kwe-cyber, ukuthi kunzima kangakanani ukuthola abantu abanamakhono afanele, nokuthi kunzima kangakanani ngezinhlangano ukusungula izinhlelo zabantu ezenza ukutshalwa kwezimali kwezobuchwepheshe kube yinto efanelekile. Akukho neyodwa yazo esongela impilo. Ngokuhlela ngokucophelela kanye nabalingani abafanele, konke lokhu kungaphathwa. Ukuphatha inkampani yezimpahla ngo-2025 enengqalasizinda yokubonakala ka-2015 nokulindela ukuncintisana akunakwenzeka. Isikhathi sokuhlangana nabantu siyaphela. Izinkampani ezitshala imali ku-AI kanye nokulandelela ngesikhathi sangempela njengamanje azigcini nje ngokwenza izinto zibe ngcono namuhla; futhi zibeka isisekelo semisebenzi ezoba nzima kakhulu ezinkampanini ezihamba kancane ukuyilingisa.
Imibuzo Evame Ukubuzwa
Q: Ingakanani i-AI engayinciphisa ngempela izindleko zokuthutha impahla?
A: Ucwaningo lukaMcKinsey lubonisa ukuthi ukusebenzisa i-AI kunganciphisa izindleko zezokuthutha ngo-5% kuya ku-20%, kuye ngokuthi isetshenziswa kanjani. Izinkampani ezisebenzisa i-AI ukuhlela imizila zithi izindleko zazo zikaphethiloli nezokuthutha zehla ngo-15 kuya ku-20% ngokwesilinganiso. Ukulungiswa okubikezelayo kunganciphisa izindleko zokunakekela imoto ngo-40%. Ukubikezela kwesidingo se-AI kunciphisa izindleko zokunakekela izinto ezikhona cishe ngo-12%.
U: Uyini umehluko phakathi kokulandelela nge-GPS kanye nokulandelela ngempahla okusekelwe ku-IoT?
A: Ukulandelela nge-GPS kukunikeza ulwazi mayelana nokuthi ukuphi. Ukulandelela okusekelwe ku-IoT kubanzi kakhulu ngoba kuqukethe indawo ye-GPS kanye nezinzwa zemvelo eziqapha izinga lokushisa, umswakama, ukushaqeka, kanye nokuthambekela. Kuhlanganisa futhi i-telemetry yezempilo yemoto, izexwayiso ze-geofencing, kanye nokuxhumeka kokuphakelwa kwedatha ye-port kanye neye-custom. I-IoT ikuvumela ukuthi ubone okungaphezu nje kokuthi into ikhona kuphi kumephu; futhi ikuvumela ukuthi ubone ukuthi isebenza kanjani nokuthi kwenzekani.
Q: Ingabe ukulandelela imithwalo ngesikhathi sangempela kuyasebenza kuphela emabhizinisini amakhulu?
A: Akusekho. Izinsizakalo zezinzwa ze-IoT ezisekelwe kokubhaliselwe kanye namapulatifomu okubonakala efwini enze kwaba nokwenzeka ukuthi amabhizinisi aphakathi nendawo kanye namancane akwazi ukulandelela izinto ngesikhathi sangempela. Indlela engcono kakhulu yokwenza lokhu ukuqala ngemizila ebiza kakhulu noma okungenzeka kakhulu ukuthi ibangele izinkinga, ubeke imigomo ecacile ye-ROI, bese ukhula kusukela lapho. Ngo-2025, amabhizinisi amancane naphakathi nendawo azokwenza u-55.7% wemali engenayo yemakethe ye-IoT logistics.
U: I-AI isiza kanjani ngokukhethekile ekukhishweni kwezimpahla ezithunyelwa kwamanye amazwe?
A: Izinhlelo ze-AI ezisebenzisa i-NLP zingahlela izinto ngokuzenzakalelayo ngamakhodi entela, zigcwalise amafomu okumemezela amasiko, zihlonze izinkinga zokuthobela imithetho ngaphambi kokuthumela, futhi zixhumanise ama-invoyisi nokuthunyelwa. Konke lokhu kushesha futhi kunembile kunokufaka idatha ngesandla. E-US nase-China izixazululo zokuthobela imithetho ezisizwa yi-AI zinciphisa amathuba okubanjwa, izinhlawulo, kanye nemali yokushintsha umzila okubangelwa amaphutha emaphepheni, ikakhulukazi emithwalo yempahla ewela imingcele, lapho ukuhlukaniswa kwentela kushintshe khona kakhulu.
U: Yiziphi izingozi ezinkulu zokuphepha kwe-inthanethi ezinhlelweni zokuthutha ezixhunyiwe?
A: Ukuhlaselwa kweRansomware kwezokuthutha kanye nezokuthutha kuhlale kuphakathi kwezinto ezivame kakhulu. Izinsongo ezinkulu ukuhlaselwa kweRansomware ezinhlelweni ze-TMS/WMS ezivalela abaphathi bezimpahla ngaphandle kwezinhlelo zabo ngezikhathi ezimatasa, ukwephulwa kwedatha okuveza imininingwane yokuthunyelwa kanye nolwazi lwamakhasimende, kanye nokusetshenziswa kwedatha yenzwa ye-IoT ukufihla ukwebiwa kwempahla. Ukwakhiwa kwenethiwekhi ye-Zero-trust, ukuphepha kwe-endpoint kwamadivayisi e-IoT, kanye nokuqeqeshwa njalo kwe-phishing kwabasebenzi kungenye yezindlela zokunciphisa ubungozi.
