Incazelo:

I-Voice Commerce, eyaziwa nangokuthi ukuhweba ngezwi, isho umkhuba wokwenza imisebenzi yezentengiso nokuthenga kusetshenziswa imiyalo yezwi ngabasizi be-virtual noma amadivayisi anikwe amandla okubona izwi.

Incazelo:

I-Voice Commerce iwubuchwepheshe obusafufusa obushintsha indlela abathengi abaxhumana ngayo nemikhiqizo futhi bathenge. Lolu hlobo lwe-e-commerce luvumela abasebenzisi ukuthi bafake ama-oda, baseshe imikhiqizo, baqhathanise izintengo, futhi baqedele ukuthenga besebenzisa izwi labo kuphela, ngaphandle kwesidingo sokusebenzelana ngokomzimba namadivayisi noma izikrini.

Izici eziyinhloko:

1. Ukusebenzisana kwezwi: Abasebenzisi bangabuza imibuzo, bacele izincomo, futhi bathenge besebenzisa imiyalo yezwi yemvelo.

2. Abasizi bezwi: Isebenzisa ubuchwepheshe obufana ne-Alexa (i-Amazon), i-Google Assistant, i-Siri (i-Apple) nabanye abasizi bezwi ukucubungula imiyalo nokwenza izenzo.

3. Amadivayisi ahambisanayo: Angasetshenziswa kuzipikha ezihlakaniphile, omakhalekhukhwini, ama-smart TV namanye amadivaysi anekhono lokuzwa izwi.

4. Ukuhlanganiswa kwe-E-commerce: Ixhuma kumapulatifomu e-e-commerce ukuze ufinyelele kumakhathalogi womkhiqizo, amanani, nokwenza imisebenzi.

5. Ukwenza kube ngokwakho: Ifunda izintandokazi zabasebenzisi ngokuhamba kwesikhathi ukuze inikeze izincomo ezinembe kakhulu nezihambisanayo.

Izinzuzo:

- Ukunethezeka nesivinini ekuthengeni

- Ukufinyeleleka kwabantu abanemikhawulo ebonakalayo noma yemoto

- Umuzwa wokuthenga wemvelo owengeziwe futhi onembile

- Amathuba okwenza izinto eziningi ngesikhathi senqubo yokuthenga

Izinselelo:

- Qinisekisa ukuvikeleka kanye nobumfihlo bokuthengiswa kwezwi

- Thuthukisa ukunemba kokuqashelwa kwenkulumo kuzo zonke iziphimiso nezilimi ezahlukene

- Yakha izixhumanisi zezwi ezinembile nezisebenziseka kalula

- Hlanganisa izinhlelo zokukhokha eziphephile nezisebenzayo

I-Voice Commerce imele inguquko ebalulekile kwezohwebo nge-inthanethi, enikeza abathengi indlela entsha yokuxhumana nemikhiqizo kanye nokuthenga. Njengoba ubuchwepheshe bokubona izwi buqhubeka buthuthuka, ukuhweba ngezwi kulindeleke ukuthi kwande futhi kube yinkimbinkimbi esikhathini esizayo esiseduze.

Incazelo:

ULwesihlanu Olumhlophe umcimbi wokuthenga nokukhangisa owenziwa emazweni amaningana aseMpumalanga Ephakathi, ikakhulukazi i-United Arab Emirates, Saudi Arabia, nakwamanye amazwe asePersian Gulf. Ithathwa njengokulingana kwesifunda kweBlack Friday e-United States, kodwa inegama eliguqulelwe ukuhlonipha ukuzwela kwamasiko endawo, njengoba uLwesihlanu kuwusuku olungcwele e-Islam.

Umsuka:

Umqondo we-White Friday wethulwa yi-Souq.com (manje eyingxenye ye-Amazon) ngo-2014 njengenye indlela ye-Black Friday. Igama elithi "White" lakhethwa ngenxa yezincazelo zalo ezinhle emasikweni amaningi ama-Arab, lapho limele ubumsulwa nokuthula.

Izici eziyinhloko:

1. Usuku: Ngokuvamile kwenzeka ekupheleni kukaNovemba, okuhambisana noLwesihlanu Omnyama emhlabeni wonke

2. Ubude besikhathi: Ekuqaleni umcimbi wosuku olulodwa, manje ovame ukunwetshwa ube isonto noma ngaphezulu

3. Amashaneli: Ukuba khona ku-inthanethi okuqinile, kodwa futhi kufaka nezitolo ezibonakalayo

4. Imikhiqizo: Izinhlobonhlobo ezibanzi, kusukela kugesi nemfashini kuya ezintweni zasekhaya nokudla

5. Izaphulelo: Izipesheli ezibalulekile, ngokuvamile ezifinyelela ku-70% noma ngaphezulu

6. Abahlanganyeli: Kubandakanya abathengisi basekhaya nabakwamanye amazwe abasebenza esifundeni

Umehluko ku-Black Friday:

1. Igama: Lenzelwa ukuhlonipha ukuzwela kwamasiko endawo

2. Isikhathi: Ingase yehluke kancane kokwendabuko Black Friday

3. Ukugxila kwezamasiko: Imikhiqizo nokukhushulwa kuvame ukujwayela okuthandwayo kwendawo

4. Imithethonqubo: Ingaphansi kwemithetho ethile ye-e-commerce nephromoshini emazweni e-Gulf

Umthelela wezomnotho:

I-White Friday isiphenduke umshayeli obalulekile wokuthengisa esifundeni, nabathengi abaningi balindele umcimbi ukuze bathenge okubalulekile. Umcimbi ukhuthaza umnotho wendawo futhi ukhuthaza ukukhula kwe-e-commerce esifundeni.

Ukuthambekela:

1. Ukunwetshwa kwamanye amazwe aseMpumalanga Ephakathi naseNyakatho Afrika

2. Khulisa isikhathi somcimbi sibe “Iviki LoLwesihlanu Olumhlophe” noma ngisho inyanga

3. Ukuhlanganiswa okukhulu kobuchwepheshe obufana ne-AI yokwenza okunikezwayo kube ngokwakho

4. Ukugxila okukhulayo kokuhlangenwe nakho kokuthenga kwe-omnichannel

5. Iminikelo yesevisi eyengeziwe, ngaphezu kwemikhiqizo ebonakalayo

Izinselelo:

1. Ukuncintisana okukhulu phakathi kwabathengisi

2. Ingcindezi ku-logistics kanye nezinhlelo zokudiliva

3. Isidingo sokulinganisa ukukhushulwa kanye nenzuzo

4. Ukulwa nokukhwabanisa nemikhuba ekhohlisayo

5. Ukuzivumelanisa nezimo ezishintsha ngokushesha ezithandwayo zabathengi

Umthelela wamasiko:

I-White Friday isize ukushintsha imikhuba yabathengi esifundeni, ikhuthaze ukuthenga ku-inthanethi kanye nokwethula umqondo wemicimbi emikhulu yokukhangisa yesizini. Kodwa-ke, kuphinde kwaqubula inkulumo-mpikiswano mayelana nokusetshenziswa kwabathengi kanye nomthelela wako esikweni lendabuko.

Ikusasa likaLwesihlanu Olumhlophe:

1. Ukwenza kube ngokwakho okukhulu kokunikezwayo okusekelwe kudatha yomthengi

2. Ukuhlanganiswa kweqiniso elingathandwa kwabathelisi esikubona kanye nelokubona kulwazi lokuthenga

3. Ukugxila okwandayo ekuzinzeni nasekusebenziseni ngokuqaphela imikhuba

4. Ukunwetshwa kwezimakethe ezintsha esifundeni se-MENA (Middle East kanye neNyakatho Afrika)

Isiphetho:

ULwesihlanu Olumhlophe luqhamuke njengento ebalulekile endaweni yokudayisa yaseMpumalanga Ephakathi, lujwayelanisa nomqondo womhlaba wonke wokukhushulwa okukhulu kwesizini ukuze uhambisane nokucaciswa kwamasiko kwesifunda. Njengoba iqhubeka nokuvela, i-White Friday ayigcini nje ngokuqhuba ukuthengisa kodwa futhi ibumba izitayela zabathengi kanye nokuthuthukiswa kwe-e-commerce esifundeni.

Incazelo:

I-Inbound Marketing isu lokumaketha kwedijithali eligxile ekuheheni amakhasimende angaba khona ngokuqukethwe okufanelekile nokuzizwisa komuntu siqu, kunokuphazamisa izethameli eziqondiwe ngemilayezo yokukhangisa evamile. Le ndlela ihlose ukusungula ubudlelwano besikhathi eside namakhasimende ngokunikeza inani kuzo zonke izigaba zohambo lomthengi.

Izimiso eziyisisekelo:

1. Ukuheha: Dala okuqukethwe okubalulekile ukuze uhehe izivakashi kuwebhusayithi noma inkundla yedijithali

2. Ukusebenzelana: Hlangana nabaholayo ngamathuluzi namashaneli afanelekile

3. Injabulo: Nikeza ukusekela nolwazi ukuze uguqule amakhasimende abe abameleli bomkhiqizo

Indlela yokwenza:

I-Inbound Marketing ilandela indlela enezigaba ezine:

1. Heha: Dala okuqukethwe okufanele ukuze uhehe izethameli ezifanele

2. Guqula: Guqula izivakashi zibe ngabaphambili abaqeqeshiwe

3. Vala: Khulisa abaholi futhi ubaguqule babe amakhasimende

4. Injabulo: Qhubeka unikeza inani ukuze ugcine futhi ugcine amakhasimende

Amathuluzi namaqhinga:

1. Ukuthengisa Okuqukethwe: Amabhulogi, ama-e-books, amaphepha amhlophe, i-infographics

2. I-SEO (Ukuthuthukiswa Kwenjini Yokusesha): Ukuthuthukisa injini yokusesha

3. Inkundla yezokuxhumana: Ukuzibandakanya kanye nokwabelana ngokuqukethwe ezingosini zokuxhumana nabantu

4. Ukuthengisa nge-imeyili: Ukuxhumana komuntu siqu nokuhlukene

5. Amakhasi okufika: Amakhasi alungiselelwe ukuguqulwa

6. I-CTA (Ukubizela-Esenzweni): Izinkinobho zamasu nezixhumanisi zokukhuthaza izenzo

7. I-Marketing Automation: Amathuluzi okwenza izinqubo ngokuzenzakalelayo kanye nokukhulisa umkhondo

8. Izibalo: Ukuhlaziywa kwedatha ukuze kwenziwe kahle ngokuqhubekayo

Izinzuzo:

1. Ukusebenza kahle kwezindleko: Ngokuvamile ukonga kakhulu kunokumaketha okuvamile

2. Igunya lokwakha: Isungula uhlobo njengesithenjwa emkhakheni

3. Ubudlelwano obuhlala isikhathi eside: Kugxile ekugcineni amakhasimende kanye nokwethembeka

4. Ukwenza kube ngokwakho: Kunika amandla ukuzizwisa okuhlobene kakhulu kumsebenzisi ngamunye

5. Ukulinganisa okunembile: Kusiza ukuqapha nokuhlaziya imiphumela

Izinselelo:

1. Isikhathi: Sidinga ukutshalwa kwezimali kwesikhathi eside ukuze uthole imiphumela ebalulekile

2. Ukungaguquguquki: Kudinga ukukhiqizwa njalo kokuqukethwe kwekhwalithi

3. Ubungcweti: Kudinga ulwazi emikhakheni eyahlukene yokumaketha kwedijithali

4. Ukuzivumelanisa nezimo: Kudinga izinguquko zokuqapha kokuncanyelwayo kwezithameli nama-algorithms

Umehluko kusukela ku-Outbound Marketing:

1. Ukugxila: Okungenayo kuyaheha, Ukuphazamiseka kwangaphandle

2. Isiqondiso: Kwangaphakathi kuwukudonsa ukumaketha, Okuphumayo kungukumaketha okuphusha

3. Ukusebenzisana: Kwangaphakathi kuqondiswa kabili, Okuphumayo kuyindlela eyodwa

4. Imvume: Okungenayo kusekelwe emvume, Iyaphuma ayihlali njalo

Amamethrikhi abalulekile:

1. Ithrafikhi yewebhusayithi

2. Izinga lokuguqulwa lokuhola

3. Ukuzibandakanya kokuqukethwe

4. Izindleko zokuhola ngakunye

5. I-ROI (Buyela Kutshalomali)

6. Inani Lokuphila Kwekhasimende (i-CLV)

Okuthrendayo esikhathini esizayo:

1. Ukwenza kube ngokwakho okukhulu nge-AI nokufunda ngomshini

2. Ukuhlanganiswa nobuchwepheshe obusafufusa obufana nobungokoqobo obungathandwa kwabathelisi esikubona

3. Gxila kuvidiyo nokuqukethwe okulalelwayo (ama-podcasts)

4. Ukugcizelela ubumfihlo bomsebenzisi kanye nokuvikelwa kwedatha

Isiphetho:

I-Inbound Marketing imele ushintsho olubalulekile endleleni izinkampani ezibhekana ngayo nokumaketha kwedijithali. Ngokunikeza inani elingaguquki kanye nokwakha ubudlelwano bangempela nezithameli okuqondiwe kuzo, leli su alidonseli nje abangase babe amakhasimende kodwa futhi libaguqule babe abameleli bomkhiqizo abathembekile. Njengoba isimo sedijithali siqhubeka nokuvela, Ukumaketha Kwangaphakathi kuhlala kuyindlela ephumelelayo, egxile kumakhasimende ekukhuleni kwebhizinisi okuzinzile.

Incazelo:

Usuku Lwabantu Abangashadile, olwaziwa nangokuthi "Usuku Lwabantu Abangashadile" noma "I-Double 11," umcimbi wokuthenga kanye nomgubho wokungashadi okwenzeka minyaka yonke ngoNovemba 11 (11/11). Isuka eChina, isiphenduke umcimbi omkhulu we-e-commerce emhlabeni, wedlula izinsuku ezifana neBlack Friday kanye neCyber ​​​​Monday ngokwenani lokuthengisa.

Umsuka:

Usuku Lwabantu Abangashadile lwasungulwa ngo-1993 ngabafundi base-Nanjing University e-China njengendlela yokugubha ukuziqhenya kokungashadi. Idethi ethi 11/11 ikhethwe ngenxa yokuthi inombolo engu-1 imelela umuntu oyedwa, futhi ukuphindaphindwa kwenombolo kugcizelela ukungashadi.

I-Evolution:

Ngo-2009, umdondoshiya we-e-commerce waseChina u-Alibaba waguqula uSuku Lomuntu Ongashadile lwaba umcimbi wokuthenga ku-inthanethi, enikeza izaphulelo ezinkulu namaphromoshini. Kusukela lapho, umcimbi usukhule kakhulu, waba yinto yokuthengisa emhlabeni jikelele.

Izici eziyinhloko:

1. Usuku: Novemba 11 (11/11)

2. Ubude besikhathi: Ekuqaleni amahora angu-24, kodwa izinkampani eziningi manje zengeza amaphromoshini ezinsukwini ezimbalwa

3. Ukugxila: Ikakhulukazi i-e-commerce, kodwa futhi ihlanganisa nezitolo ezibonakalayo

4. Imikhiqizo: Izinhlobonhlobo ezibanzi, kusukela ku-electronics nemfashini kuya ekudleni nasekuhambeni

5. Izaphulelo: Izipesheli ezibalulekile, ngokuvamile ezingaphezu kuka-50%

6. Ubuchwepheshe: Ukusetshenziswa okujulile kwezinhlelo zokusebenza zeselula kanye nezinkundla zokusakaza zokukhangisa

7. Ukuzijabulisa: Izinhlelo ezibukhoma, ukusakazwa kosaziwayo, nemicimbi esebenzisanayo

Umthelela wezomnotho:

I-Single's Day ikhiqiza izigidigidi zamadola ngokuthengisa, kanti i-Alibaba iyodwa ibika u-$74.1 wezigidigidi ekuthengisweni kwesamba sempahla ngo-2020. Lo mcimbi uthuthukisa kakhulu umnotho wase-China futhi uba nomthelela kumathrendi okuthengisa emhlabeni jikelele.

Ukunwetshwa komhlaba wonke:

Nakuba kusewumkhuba wamaShayina kakhulu, uSuku Lwabantu Abangashadile belulokhu ludlondlobala kwamanye amazwe ase-Asia futhi seluqala ukwamukelwa abathengisi bamazwe ngamazwe, ikakhulukazi labo abakhona e-Asia.

Ukugxeka nezingxabano:

1. Ukusetshenziswa ngokweqile kwabathengi

2. Ukukhathazeka ngemvelo ngenxa yokwanda kokupakishwa nokulethwa

3. Ingcindezi ku-logistics kanye nezinhlelo zokudiliva

4. Imibuzo mayelana nobuqiniso bezinye izaphulelo

Okuthrendayo esikhathini esizayo:

1. Ukutholwa okukhulu kwamanye amazwe

2. Ukuhlanganiswa kobuchwepheshe obufana nobungokoqobo obungathandwa kwabathelisi esikubona

3. Ukugxila okukhulayo ekuzinzeni nasekusetshenzisweni okuqaphelayo

4. Ukunweba ubude besikhathi somcimbi ukuze kuncishiswe ingcindezi yokuhlela

Isiphetho:

Usuku Lomuntu Ongashadile lusukile emgubhweni wasekolishi wokungashadi lwaba yinto yomhlaba wonke ye-e-commerce. Umthelela wayo ekuthengisweni kwe-inthanethi, ukuziphatha kwabathengi, namasu okumaketha uyaqhubeka nokukhula, okwenza kube umcimbi obalulekile ekhalendeni lezitolo zomhlaba jikelele.

Incazelo:

I-RTB, noma Ibhidi Yesikhathi Sangempela, iyindlela yokuthenga nokudayisa indawo yokukhangisa ku-inthanethi ngesikhathi sangempela, ngenqubo yendali ezenzakalelayo. Lolu hlelo luvumela abakhangisi ukuthi baqhudelane ngokuvela kwesikhangiso ngasinye ngesikhathi lapho ikhasi lewebhu lilayishwa umsebenzisi.

Ukusebenza kwe-RTB:

1. Isicelo Sokukhangisa:

   - Umsebenzisi ufinyelela ikhasi lewebhu elinendawo yokukhangisa etholakalayo

2. Indali iqalile:

   - Isicelo sesikhangiso sithunyelwa endaweni yokuphatha imfuno (DSP)

3. Ukuhlaziywa kwedatha:

   - Ulwazi mayelana nomsebenzisi kanye nomongo wekhasi kuyahlaziywa

4. Amabhidi:

   - Abakhangisi babhida ngokusekelwe ekuhlobaneni komsebenzisi nomkhankaso wabo

5. Ukukhethwa kophumelele:

   - Ibhidi ephezulu iwina ilungelo lokubonisa isikhangiso

6. Ukubonisa isikhangiso:

   - Isikhangiso esiwinayo silayishwa ekhasini lomsebenzisi

Yonke le nqubo yenzeka ngama-millisecond, ngenkathi ikhasi lilayisha.

Izingxenye eziyinhloko ze-ecosystem ye-RTB:

1. Inkundla yokunikezela ngohlangothi (SSP):

   - Imelela abashicileli ngokunikeza i-inventory yabo yesikhangiso

2. I-Demand-Side Platform (DSP):

   - Imele abakhangisi, ibavumele ukuthi babhide kokuvelayo

3. I-Ad Exchange:

   - Imakethe ebonakalayo lapho izindali zenzeka khona

4. I-Data Management Platform (DMP):

   - Igcina futhi ihlaziye idatha yokuhlukaniswa kwezethameli

5. Iseva yesikhangiso:

   - Idiliva futhi ilandelele izikhangiso

Izinzuzo ze-RTB:

1. Ukusebenza kahle:

   - Ukusebenza komkhankaso okuzenzakalelayo ngesikhathi sangempela

2. Ukuqondisa okunembe:

   - Ukukhomba kususelwa kudatha enemininingwane yomsebenzisi

3. Imbuyiselo Ephakeme Yokutshalwa Kwezimali (ROI):

   - Ukwehliswa kwemibono emoshiwe engabalulekile

4. Ukuba sobala:

   - Ukubonakala kokuthi izikhangiso zikhonjiswa kuphi futhi ngaziphi izindleko

5. Ukuvumelana nezimo:

   - Ukulungiswa okusheshayo kumasu omkhankaso

6. Isikali:

   - Ukufinyelela ohlwini olukhulu lwezikhangiso kumasayithi amaningi

Izinselelo nokucatshangelwa:

1. Ubumfihlo Bomsebenzisi:

   - Ukukhathazeka mayelana nokusetshenziswa kwedatha yomuntu siqu ekuqondiseni

2. Ukukhwabanisa kokukhangisa:

   - Ingozi yemibono ewumgunyathi noma ukuchofoza

3. Ubunkimbinkimbi bobuchwepheshe:

   - Isidingo sobuchwepheshe nengqalasizinda yezobuchwepheshe

4. Ukuphepha komkhiqizo:

   - Qinisekisa ukuthi izikhangiso aziveli esimweni esingafanele

5. Isivinini sokucubungula:

   - Imfuneko yamasistimu akwazi ukusebenza ngama-millisecond

Izinhlobo zedatha ezisetshenziswa ku-RTB:

1. Idatha yezibalo zabantu:

   - Ubudala, ubulili, indawo, njll.

2. Idatha yokuziphatha:

   - Umlando wokuphequlula, izintshisekelo, njll.

3. Idatha yokuqukethwe:

   - Okuqukethwe kwekhasi, amagama angukhiye, njll.

4. Idatha yeqembu lokuqala:

   - Iqoqwe ngokuqondile ngabakhangisi noma abashicileli

5. Idatha yenkampani yangaphandle:

   - Kutholwe kubahlinzeki bedatha abakhethekile

Amamethrikhi abalulekile ku-RTB:

1. I-CPM (Izindleko Ngezinkulungwane Ezivelayo):

   - Izindleko zokubonisa isikhangiso izikhathi eziyinkulungwane

2. I-CTR (Isilinganiso Sokuchofoza):

   - Amaphesenti okuchofoza ngokuhlobene nokuvelayo

3. Izinga Lokuguqulwa:

   - Iphesenti labasebenzisi abenza isenzo esifiselekayo

4. Ukubukeka:

   - Iphesenti lokuvelayo elibonakalayo

5. Imvamisa:

   - Inombolo yezikhathi lapho umsebenzisi ebona isikhangiso esifanayo

Okuthrendayo kwesikhathi esizayo ku-RTB:

1. I-Artificial Intelligence kanye nokufunda ngomshini:

   - Ukubhida okuthuthuke kakhulu kanye nokwenza kahle kokukhomba

2. Uhlelo lwe-TV:

   - Ukunwetshwa kwe-RTB ekukhangiseni kukamabonakude

3. Iselula-kuqala:

   - Ukugxila okukhulayo ezindalini zamaselula

4. I-Blockchain:

   - Ukucaca okukhulu kanye nokuphepha kokwenziwe

5. Imithetho Yobumfihlo:

   - Ukujwayela imithetho nemihlahlandlela emisha yokuvikela idatha

6. Umsindo wohlelo:

   - I-RTB yezikhangiso ekusakazeni umsindo nama-podcasts

Isiphetho:

Ukubhida Kwesikhathi Sangempela kuguqule indlela okuthengwa futhi kudayiswe ngayo ukukhangisa kwedijithali, okuhlinzeka ngezinga elingakaze libonwe lokusebenza kahle kanye nokwenza kube ngokwakho. Nakuba iletha izinselele, ikakhulukazi mayelana nobumfihlo nobunkimbinkimbi bobuchwepheshe, Ukubhida Kwesikhathi Sangempela kuyaqhubeka nokuvela, kufaka phakathi ubuchwepheshe obusha futhi kuzivumelanisa nezinguquko kumhlaba wedijithali. Njengoba ukukhangisa kuya ngokuya kuqhutshwa idatha, Ukubhida Kwesikhathi Sangempela kuhlala kuyithuluzi elibalulekile labakhangisi nabashicileli abafuna ukukhulisa inani lemikhankaso yabo nempahla yokukhangisa.

Incazelo:

I-SLA, noma Isivumelwano Sezinga Lesevisi, siyinkontileka esemthethweni phakathi komhlinzeki wesevisi namakhasimende akhe echaza imigomo ethile yesevisi, okuhlanganisa ububanzi, ikhwalithi, izibopho, neziqinisekiso. Lo mbhalo usungula okulindelwe okucacile nokulinganisekayo mayelana nokusebenza kwesevisi, kanye nemiphumela uma lokhu okulindelekile kungafinyelelwanga.

Izingxenye eziyinhloko ze-SLA:

1. Incazelo yesevisi:

   - Imininingwane yezinsizakalo ezinikezwayo

   - Ububanzi kanye nemikhawulo yesevisi

2. Amamethrikhi okusebenza:

   - Izinkomba Zokusebenza Ezibalulekile (KPIs)

   - Izilinganiso nezindlela zokubika

3. Amazinga wesevisi:

   - Izindinganiso zekhwalithi ezilindelekile

   - Izikhathi zokuphendula nezixazululo

4. Izibopho:

   - Izibopho zomhlinzeki wesevisi

   - Izibopho zeklayenti

5. Iziqinisekiso nezijeziso:

   - Izibophezelo ezingeni lesevisi

   – Imiphumela yokungathobeli imithetho

6. Izinqubo zokuxhumana:

   – Iziteshi zokusekela

   - Izinqubo zokukhushulwa

7. Shintsha ukuphathwa:

   - Izinqubo zezinguquko zesevisi

   - Buyekeza izaziso

8. Ukuphepha Nokuhambisana:

   - Izinyathelo zokuvikela idatha

   - Izidingo zokulawula

9. Ukunqanyulwa kanye nokuvuselela:

   – Imibandela yokunqanyulwa kwenkontileka

   - Izinqubo zokuvuselela

Ukubaluleka kwe-SLA:

1. Ukuqondanisa okulindelweyo:

   - Ukucaca mayelana nokuthi yini ongayilindela enkonzweni

   - Ukuvimbela ukungezwani

2. Ukuqinisekisa ikhwalithi:

   - Ukusungula izindinganiso ezilinganisekayo

   - Ukukhuthazwa kokuthuthuka okuqhubekayo

3. Ukulawulwa kobungozi:

   – Incazelo yezibopho

   - Ukunciphisa izingxabano ezingaba khona

4. Ukuba sobala:

   - Ukuxhumana okucacile mayelana nokusebenza kwesevisi

   – Isisekelo sokuhlola okuhlosiwe

5. Ukuthenjwa kwekhasimende:

   - Ukukhombisa ukuzibophezela kwekhwalithi

   - Ukuqinisa ubudlelwano bezentengiselwano

Izinhlobo ezijwayelekile ze-SLA:

1. I-SLA esekelwe kumakhasimende:

   - Yenzelwe iklayenti elithile

2. I-SLA esekwe kusevisi:

   - Kusetshenziswa kuwo wonke amakhasimende wesevisi ethile

3. I-SLA yamazinga amaningi:

   - Inhlanganisela yamazinga ahlukene esivumelwano

4. I-SLA Yangaphakathi:

   – Phakathi kweminyango yenhlangano efanayo

Izindlela ezihamba phambili zokudala ama-SLA:

1. Cacisa futhi ulinganiseke:

   - Sebenzisa amamethrikhi acacile futhi angabalwa

2. Chaza amagama angokoqobo:

   - Zibekele imigomo ongafinyeleleka

3. Faka izigaba zokubuyekeza:

   - Vumela ukulungiswa ngezikhathi ezithile

4. Cabangela izici zangaphandle:

   - Bheka kusengaphambili izimo ezingaphezu kwamandla amaqembu

5. Bandakanya bonke ababambiqhaza:

   - Thola imibono evela ezindaweni ezahlukene

6. Idokhumenti yezinqubo zokuxazulula izingxabano:

   - Sungula izindlela zokubhekana nokungaboni ngaso linye

7. Gcina ulimi lucacile futhi lufushane:

   - Gwema i-jargon kanye nokungaqondakali

Izinselelo ekusebenziseni ama-SLA:

1. Ukuchaza amamethrikhi afanelekile:

   - Khetha ama-KPI afanele futhi alinganiseke

2. Ukulinganisa ukuguquguquka nokuqina:

   - Zivumelanise nezinguquko ngenkathi ugcina izibopho

3. Ukuphatha okulindelekile:

   - Qondanisa imibono yekhwalithi phakathi kwamaqembu

4. Ukuqapha okuqhubekayo:

   - Ukusebenzisa izinhlelo zokuqapha eziphumelelayo

5. Ukubhekana nokwephulwa kwe-SLA:

   - Sebenzisa izinhlawulo ngendlela efanele futhi eyakhayo

Okuthrendayo esikhathini esizayo kuma-SLA:

1. Ama-SLA asekelwe ku-AI:

   - Ukusetshenziswa kobuhlakani bokwenziwa ukwenza kahle nokubikezela

2. Ama-SLA Anamandla:

   - Ukulungiswa okuzenzakalelayo okusekelwe ezimeni zesikhathi sangempela

3. Ukuhlanganiswa kweBlockchain:

   - Ukucaca okukhulu kanye nokuzenzakalelayo kwezinkontileka

4. Gxila kulwazi lomsebenzisi:

   - Ukufakwa kwamamethrikhi wokwaneliseka kwamakhasimende

5. Ama-SLA ezinsizakalo zamafu:

   - Ukuzivumelanisa nezimo zekhompyutha ezisabalalisiwe

Isiphetho:

Ama-SLA angamathuluzi abalulekile okusungula okulindelwe okucacile nokulinganisekayo ebudlelwaneni bokulethwa kwezinsizakalo. Ngokuchaza amazinga ekhwalithi, izibopho, kanye nemiphumela, ama-SLA akhuthaza ukubeka izinto obala, ukwethembana, kanye nokusebenza kahle kwebhizinisi. Njengoba ubuchwepheshe buthuthuka, kulindeleke ukuthi ama-SLA aguquke kakhulu futhi ahlanganiswe, abonise izinguquko ezisheshayo endaweni yebhizinisi nezobuchwepheshe.

Incazelo:

Ukuqondisa kabusha, okwaziwa nangokuthi ukumaketha kabusha, kuyindlela yokuthengisa yedijithali ehlose ukuphinde uxhumane nabasebenzisi abake basebenzisana nomkhiqizo, iwebhusayithi, noma uhlelo lokusebenza kodwa abangazange benze isenzo esifiselekayo, esifana nokuthenga. Leli su libandakanya ukubonisa izikhangiso eziqondene nawe kulaba basebenzisi kwezinye izinkundla namawebhusayithi abawavakashela kamuva.

Umqondo Oyinhloko:

Umgomo wokuqondisa kabusha uwukugcina umkhiqizo engqondweni yomthengi, umkhuthaze ukuthi abuye futhi agcwalise isenzo esifiswayo, ngaleyo ndlela kwandise amathuba okuguqulwa.

Ukusebenza:

1. Ukulandelela:

   - Ikhodi (pixel) ifakiwe kuwebhusayithi ukulandelela izivakashi.

2. Ukuhlonza:

   - Abasebenzisi abenza izenzo ezithile bamakiwe.

3. Ukuhlukaniswa:

   - Uhlu lwezithameli lwenziwa ngokusekelwe ezenzweni zabasebenzisi.

4. Ukubonisa izikhangiso:

   - Izikhangiso eziqondene nawe zikhonjiswa kubasebenzisi abaqondisiwe kwamanye amawebhusayithi.

Izinhlobo zokuphinda kuthagethe:

1. Ukuqondisa kabusha okusekelwe ku-Pixel:

   - Isebenzisa amakhukhi ukulandelela abasebenzisi kuwo wonke amawebhusayithi ahlukene.

2. Ukufakwa ohlwini kabusha:

   - Isebenzisa uhlu lwama-imeyili noma ama-ID ekhasimende ukuze ahlukanise.

3. I-Dynamic Retargeting:

   - Ibonisa izikhangiso ezinemikhiqizo ethile noma amasevisi abukwa umsebenzisi.

4. Ukuphinda uqalise ku-Social Media:

   - Ibonisa izikhangiso ezisekelweni ezifana ne-Facebook ne-Instagram.

5. Ukuqondisa kabusha ividiyo:

   - Ikhombe izikhangiso kubasebenzisi ababukele amavidiyo anegama.

Izinkundla Ezivamile:

1. Izikhangiso ze-Google:

   - Inethiwekhi yokubonisa ye-Google yokukhangisa kumasayithi ozakwethu.

2. Izikhangiso ze-Facebook:

   - Ukubuyisela kabusha ezisekelweni ze-Facebook ne-Instagram.

3. I-AdRoll:

   – Inkundla eyisipesheli ekudwebeni kabusha iziteshi eziphambanayo.

4. Imibandela:

   - Igxile ekubuyiseleni i-e-commerce.

5. Izikhangiso ze-LinkedIn:

   - Ukubuyisela kabusha izethameli ze-B2B.

Izinzuzo:

1. Ukuguqulwa Okunyukile:

   - Amathuba aphezulu okuguqula abasebenzisi asebevele benentshisekelo.

2. Ukwenza kube ngokwakho:

   - Izikhangiso ezihambisana kakhulu ezisekelwe ekuziphatheni komsebenzisi.

3. Ukusebenza Kwezindleko:

   - Imvamisa ine-ROI ephezulu kunezinye izinhlobo zokukhangisa.

4. Ukuqinisa Ibhrendi:

   - Igcina uphawu lubonakala kuzithameli eziqondiwe.

5. Ukutholwa Kwekalishi Elahliwe:

   - Isebenza kahle ukukhumbuza abasebenzisi ngokuthenga okungaqediwe.

Amasu okusebenzisa:

1. Ukukhomba Okunembile:

   - Dala uhlu lwezethameli ngokusekelwe ekuziphatheni okuthile.

2. Imvamisa elawulwayo:

   - Gwema ukugcwala ngokukhawulela imvamisa izikhangiso ezivezwa ngazo.

3. Okuqukethwe Okubalulekile:

   - Dala izikhangiso eziqondene nawe ngokusekelwe ekuhlanganyeleni kwangaphambilini.

4. Iminikelo Ekhethekile:

   - Faka izikhuthazo ezikhethekile zokukhuthaza ukubuya.

5. Ukuhlolwa kwe-A/B:

   - Linga ngabadali abahlukahlukene kanye nemiyalezo ukuze wenze kahle.

Izinselelo Nokucatshangelwa:

1. Ubumfihlo Bomsebenzisi:

   - Ukuhambisana nemithethonqubo efana ne-GDPR ne-CCPA.

2. Ukukhathala Kwesikhangiso:

   - Ingozi yabasebenzisi abacasulayo ngokuchayeka ngokweqile.

3. Izivimbeli zezikhangiso:

   - Abanye abasebenzisi bangase bavimbe izikhangiso ezikhonjwa kabusha.

4. I-Technical Complexity:

   - Kudinga ulwazi ukuze kusetshenziswe ngempumelelo kanye nokwenza kahle.

5. Umsebenzi:

   - Ubunzima bokulinganisa umthelela wangempela wokuphinda uqondise ekuguquleni.

Imikhuba Engcono Kakhulu:

1. Zibekele Imigomo Ecacile:

   - Zibekele imigomo ethile yokuphinda ukhombe imikhankaso.

2. I-Smart Segmentation:

   - Dala amasegimenti asuselwa kunhloso kanye nesiteji sefaneli yokuthengisa.

3. Ubuhlakani Ezikhangisweni:

   - Yakha izikhangiso ezikhangayo nezifanele.

4. Umkhawulo Wesikhathi:

   - Misa isikhathi esiphezulu sokuphinda uthage ngemuva kokusebenzelana kokuqala.

5. Ukuhlanganiswa Namanye Amaqhinga:

   - Hlanganisa ukuphinda ulandelele namanye amaqhinga okuthengisa edijithali.

Amathrendi Azayo:

1. Ukuqondisa kabusha okusekelwe ku-AI:

   - Ukusetshenziswa kobuhlakani bokwenziwa ukwenza ngcono okuzenzakalelayo.

2. Ukuthagetha kabusha kwe-Cross-Device:

   - Finyelela kubasebenzisi kuwo wonke amadivayisi ahlukene ngaphandle komthungo.

3. Ukuthagetha kabusha ku-Augmented Reality:

   - Izikhangiso ezenzelwe wena ku-AR.

4. Ukuhlanganiswa kwe-CRM:

   - Ukuhlenga kabusha okunembe kakhudlwana okusekelwe kudatha ye-CRM.

5. Ukwenza ngokwezifiso Okuthuthukile:

   - Izinga eliphezulu lokwenza ngokwezifiso ngokusekelwe kumaphuzu amaningi wedatha.

I-retargeting iyithuluzi elinamandla kuzikhali zesimanje zokumaketha kwedijithali. Ngokuvumela amabhrendi ukuthi aphinde axhumane nabasebenzisi ababonise intshisekelo ngaphambilini, le nqubo ihlinzeka ngendlela ephumelelayo yokwandisa ukuguqulwa nokuqinisa ubudlelwano namakhasimende angaba khona. Nokho, kubalulekile ukukusebenzisa ngokucophelela nangesu.

Ukuze kwandiswe ukusebenza kahle kokuphinda kuthagelwe, izinkampani kufanele zilinganisele ukuvama kwezikhangiso nokufaneleka kuyilapho zihlale zihlonipha ubumfihlo bomsebenzisi. Kubalulekile ukukhumbula ukuthi ukuchayeka ngokweqile kungaholela ekukhathaleni kwezikhangiso, okungase kulimaze isithombe somkhiqizo.

Njengoba ubuchwepheshe buthuthuka, ukuqondisa kabusha kuzoqhubeka nokuvela, kufaka phakathi ubuhlakani bokwenziwa, ukufunda ngomshini, nokuhlaziywa kwedatha okuyinkimbinkimbi kakhulu. Lokhu kuzovumela ukwenza kube ngokwakho okukhulu nakakhulu kanye nokukhomba okunembe kakhudlwana, kukhuphule ukusebenza kahle komkhankaso.

Kodwa-ke, ngokugxila okwandayo kobumfihlo babasebenzisi kanye nemithetho eqinile, izinkampani kuzodingeka zivumelanise amasu azo okukhomba kabusha ukuze ziqinisekise ukuthobela nokugcina ukwethenjwa kwabathengi.

Ekugcineni, ukuqondisa kabusha, lapho kusetshenziswa ngokwezimiso zokuziphatha nangokwesu, kuhlala kuyithuluzi elibalulekile labakhangisi bedijithali, okubavumela ukuthi bakhe imikhankaso esebenza kahle kakhulu, yomuntu siqu ehambisana nezethameli abazihlosile futhi iqhubekisele phambili imiphumela yebhizinisi ebonakalayo.

Incazelo:

Idatha Enkulu isho amasethi edatha amakhulu kakhulu futhi ayinkimbinkimbi angakwazi ukucutshungulwa kahle, ukugcinwa, noma ukuhlaziya kusetshenziswa izindlela zokucubungula idatha. Le datha ibonakala ngevolumu yayo, isivinini, kanye nokwahlukahlukana, okudinga ubuchwepheshe obuthuthukisiwe nezindlela zokuhlaziya ukuze kukhishwe inani kanye nemininingwane enengqondo.

Umqondo Oyinhloko:

Umgomo Wedatha Enkulu uwukuguqula amanani amakhulu edatha eluhlaza ibe ulwazi oluwusizo olungasetshenziswa ukwenza izinqumo ezinolwazi, ukuhlonza amaphethini namathrendi, nokudala amathuba amasha ebhizinisi.

Izici Eziyinhloko (I-“5 Vs” Yedatha Enkulu):

1. Ivolumu:

   - Inani elikhulu ledatha ekhiqizwa futhi eqoqwe.

2. Isivinini:

   - Isivinini okwenziwa ngaso futhi kusetshenzwe idatha.

3. Izinhlobonhlobo:

   - Ukuhlukahluka kwezinhlobo zedatha nemithombo.

4. Iqiniso:

   - Ukuthembeka kwedatha nokunemba.

5. Inani:

   - Amandla wokukhipha imininingwane ewusizo kudatha.

Imithombo Yedatha Emikhulu:

1. Inkundla yezokuxhumana:

   - Okuthunyelwe, ukuphawula, ukuthandwa, ukwabelana.

2. I-inthanethi Yezinto (IoT):

   - Idatha evela kuzinzwa kanye namadivayisi axhunyiwe.

3. Imisebenzi Yezentengiso:

   - Amarekhodi okuthengisa, ukuthenga, izinkokhelo.

4. Idatha Yesayensi:

   - Imiphumela yokuhlola, ukubhekwa kwesimo sezulu.

5. Amalogi Esistimu:

   - Amarekhodi omsebenzi ezinhlelweni ze-IT.

Ubuchwepheshe Namathuluzi:

1. I-Hadoop:

   - Uhlaka lomthombo ovulekile lokucubungula okusabalalisiwe.

2. I-Apache Spark:

   - Injini yokucubungula idatha esenkumbulweni.

3. NoSQL Database:

   - Imininingo egciniwe engahlobene yedatha engahlelekile.

4. Ukufunda ngomshini:

   - Ama-algorithms wokuhlaziya okubikezelayo nokuqashelwa kwephethini.

5. Ukubuka Kwedatha:

   - Amathuluzi okumela idatha ngendlela ebonakalayo neqondakalayo.

Izicelo Zedatha Enkulu:

1. Ukuhlaziywa Kwemakethe:

   - Ukuqonda ukuziphatha kwabathengi kanye nezitayela zemakethe.

2. Ukuthuthukisa Imisebenzi:

   - Ukwenziwa ngcono kwezinqubo nokusebenza kahle.

3. Ukutholwa Kokukhwabanisa:

   - Ukuhlonzwa kwamaphethini asolisayo ekwenziweni kwezimali.

4. Impilo yomuntu siqu:

   - Ukuhlaziywa kwedatha ye-genomic kanye nomlando wezokwelapha ukuze uthole ukwelashwa komuntu siqu.

5. Amadolobha Ahlakaniphile:

   – Ukuphathwa kwethrafikhi, amandla kanye nezinsiza zasemadolobheni.

Izinzuzo:

1. Ukwenza Izinqumo Okuqhutshwa Yidatha:

   - Izinqumo ezinolwazi kakhulu nezinembile.

2. Ukuthuthukiswa Komkhiqizo Nesevisi:

   - Ukuthuthukiswa kokunikezwayo okuhambisana nezidingo zemakethe.

3. Ukusebenza Ngempumelelo:

   - Ukwenza ngcono inqubo kanye nokunciphisa izindleko.

4. Ukubikezela Okuthrendayo:

   - Ukulindela izinguquko emakethe kanye nokuziphatha kwabathengi.

5. Ukwenza kube ngokwakho:

   - Okuhlangenwe nakho okwengeziwe komuntu siqu nokunikezwayo kwamakhasimende.

Izinselelo Nokucatshangelwa:

1. Ubumfihlo Nokuphepha:

   - Ukuvikelwa kwedatha ebucayi kanye nokuhambisana nemithethonqubo.

2. Ikhwalithi Yedatha:

   - Isiqinisekiso sokunemba nokuthembeka kwedatha eqoqiwe.

3. I-Technical Complexity:

   - Isidingo sengqalasizinda namakhono akhethekile.

4. Ukuhlanganiswa Kwedatha:

   - Ukuhlanganisa idatha evela emithonjeni ehlukene namafomethi.

5. Ukuhunyushwa Kwemiphumela:

   - Isidingo sobuchwepheshe ukuze uhumushe kahle ukuhlaziya.

Imikhuba Engcono Kakhulu:

1. Zibekele Imigomo Ecacile:

   - Zibekele imigomo ethile yezinhlelo ze-Big Data.

2. Qinisekisa Ikhwalithi Yedatha:

   - Sebenzisa ukuhlanza idatha kanye nezinqubo zokuqinisekisa.

3. Tshala Ngokuvikeleka:

   - Thatha izinyathelo zokuphepha eziqinile nezobumfihlo.

4. Foster Data Culture:

   - Thuthukisa ulwazi lokufunda ngedatha kuyo yonke inhlangano.

5. Qala ngamaphrojekthi okulinga:

   - Qala ngamaphrojekthi amancane ukuze uqinisekise inani futhi uthole ulwazi.

Amathrendi Azayo:

1. I-Edge Computing:

   – Ukucubungula idatha eduze komthombo.

2. I-AI Ethuthukisiwe Nokufunda Ngomshini:

   - Ukuhlaziya okuyinkimbinkimbi nokuzenzakalelayo.

3. I-Blockchain Yedatha Enkulu:

   - Ukuvikeleka okukhulu nokungafihli ekwabelaneni ngedatha.

4. Idemokhrasi Yedatha Enkulu:

   - Amathuluzi afinyeleleka kakhulu okuhlaziya idatha.

5. Izimiso Zokuziphatha kanye Nokuphathwa Kwedatha:

   - Ukugxila okwandayo ekusetshenzisweni kwedatha okunezimiso nemfanelo.

I-Big Data iguqule indlela izinhlangano nabantu ngabanye abaqonda ngayo futhi basebenzisane nomhlaba obazungezile. Ngokuhlinzeka ngemininingwane ejulile namandla okuqagela, Idatha Enkulu isiphenduke impahla ebalulekile cishe kuyo yonke imikhakha yezomnotho. Njengoba inani ledatha ekhiqizwayo liqhubeka likhula ngokushesha, ukubaluleka kwe-Big Data kanye nobuchwepheshe obuhlobene kuzokhula kuphela, kulolonge ikusasa lokwenza izinqumo nokusungula izinto esikalini somhlaba wonke.

Incazelo:

I-chatbot wuhlelo lwekhompuyutha oluklanyelwe ukulingisa ingxoxo yomuntu ngokusebenzisa umbhalo noma ngezwi. Ngokusebenzisa ubuhlakani bokwenziwa (AI) nokucubungula ulimi lwemvelo (NLP), ama-chatbots angaqonda futhi aphendule imibuzo, anikeze ulwazi, futhi enze imisebenzi elula.

Umqondo Oyinhloko:

Inhloso eyinhloko yama-chatbot ukwenza ukuxhumana nabasebenzisi ngokuzenzakalelayo, ukunikeza izimpendulo ezisheshayo neziphumelelayo, ukuthuthukisa ulwazi lwamakhasimende, nokunciphisa umthwalo womuntu emisebenzini ephindaphindwayo.

Izici Eziyinhloko:

1. Ukusebenzisana Kolimi Lwemvelo:

   - Ikhono lokuqonda nokuphendula ngolimi lwabantu lwansuku zonke.

2. 24/7 Ukutholakala:

   - Ukusebenza okungaphazamiseki, okunikeza ukwesekwa nganoma yisiphi isikhathi.

3. Ukuqina:

   - Ingakwazi ukusingatha izingxoxo eziningi ngesikhathi esisodwa.

4. Ukufunda Okuqhubekayo:

   - Ukuthuthukiswa okuqhubekayo ngokufunda komshini kanye nempendulo yomsebenzisi.

5. Ukuhlanganiswa Kwezinhlelo:

   - Ingakwazi ukuxhuma kuzinqolobane nezinye izinhlelo ukuze ifinyelele ulwazi.

Izinhlobo zama-Chatbots:

1. Ngokusekelwe emthethweni:

   - Balandela isethi echazwe ngaphambilini yemithetho nezimpendulo.

2. I-AI-Powered:

   - Basebenzisa i-AI ukuze baqonde umongo futhi bakhiqize izimpendulo zemvelo ezengeziwe.

3. AmaHybrid:

   - Bahlanganisa izindlela ezisekelwe emithethweni kanye ne-AI.

Ukusebenza:

1. Okokufaka komsebenzisi:

   - Umsebenzisi ufaka umbuzo noma umyalo.

2. Iyacubungula:

   - I-chatbot ihlaziya okokufaka isebenzisa i-NLP.

3. Isizukulwane Sempendulo:

   - Ngokusekelwe ekuhlaziyweni, i-chatbot ikhiqiza impendulo efanele.

4. Ukulethwa Kwempendulo:

   - Impendulo yethulwa kumsebenzisi.

Izinzuzo:

1. Isevisi esheshayo:

   - Izimpendulo ezisheshayo zemibuzo evamile.

2. Ukwehliswa Kwezindleko:

   - Yehlisa isidingo sokusekela abantu emisebenzini eyisisekelo.

3. Ukuvumelana:

   - Inikeza ulwazi olujwayelekile nolunembile.

4. Ukuqoqwa Kwedatha:

   - Ithwebula imininingwane ebalulekile ngezidingo zomsebenzisi.

5. Ukuthuthukisa Ulwazi Lwekhasimende:

   - Inikeza ukwesekwa okusheshayo nokuqondene nomuntu siqu.

Izicelo Ezijwayelekile:

1. Isevisi Yekhasimende:

   - Uphendula imibuzo evame ukubuzwa futhi uxazulula izinkinga ezilula.

2. E-commerce:

   - Isiza ngokuzulazula kwewebhusayithi futhi incoma imikhiqizo.

3. Impilo:

   - Ihlinzeka ngolwazi oluyisisekelo lwezokwelapha kanye namashejuli ama-aphoyintimenti.

4. Ezezimali:

   - Inikeza ulwazi mayelana nama-akhawunti asebhange kanye nokuthengiselana.

5. Imfundo:

   - Usizo ngemibuzo mayelana nezifundo nezinto zokufunda.

Izinselelo Nokucatshangelwa:

1. Imikhawulo Yokuqonda:

   - Kungase kube nobunzima ngamanuances nengqikithi yolimi.

2. Ukukhungatheka komsebenzisi:

   - Izimpendulo ezinganele zingaholela ekunganeliseki.

3. Ubumfihlo Nokuvikeleka:

   - Isidingo sokuvikela idatha yomsebenzisi ebucayi.

4. Ukunakekela kanye nokubuyekeza:

   - Idinga izibuyekezo ezijwayelekile ukuze kugcinwe ukuhambisana.

5. Ukuhlanganiswa Nenkonzo Yabantu:

   - Isidingo soguquko olushelelayo ekusekelweni komuntu lapho kudingeka.

Imikhuba Engcono Kakhulu:

1. Zibekele Imigomo Ecacile:

   - Misa izinjongo ezithile ze-chatbot.

2. Ukwenza kube ngokwakho:

   - Hlela izimpendulo kumongo womsebenzisi kanye nezintandokazi zakhe.

3. Ukuba sobala:

   - Yazisa abasebenzisi ukuthi basebenzisana ne-bot.

4. Impendulo kanye Nokuthuthukiswa Okuqhubekayo:

   - Hlaziya ukusebenzisana ukuze uthuthukise ukusebenza.

5. Idizayini Yengxoxo:

   - Dala ukugeleza kwengxoxo yemvelo nenembile.

Amathrendi Azayo:

1. Ukuhlanganiswa ne-AI Ethuthukisiwe:

   - Ukusetshenziswa kwezinhlobo zolimi ezisezingeni eliphezulu.

2. I-Multimodal Chatbots:

   - Inhlanganisela yombhalo, izwi nezinto ezibonakalayo.

3. Uzwela kanye Nobuhlakani Bomzwelo:

   - Ukuthuthukiswa kwama-chatbot akwazi ukubona nokuphendula imizwa.

4. Ukuhlanganiswa ne-IoT:

   - Lawula amadivayisi ahlakaniphile ngama-chatbots.

5. Ukunwetshwa Kwezimboni Ezintsha:

   - Ukukhula kokutholwa emikhakheni efana neyokukhiqiza kanye nempahla.

Ama-Chatbots amele uguquko endleleni izinkampani nezinhlangano ezisebenzelana ngayo namakhasimende abo kanye nabasebenzisi. Ngokunikeza ukwesekwa okusheshayo, okomuntu siqu, nokwandayo, bathuthukisa kakhulu ukusebenza kahle nokwaneliseka kwamakhasimende. Njengoba ubuchwepheshe buthuthuka, ama-chatbot kulindeleke ukuthi abe yinkimbinkimbi nakakhulu, andise amakhono awo kanye nezinhlelo zokusebenza emikhakheni eyahlukene.