Vula i-Retail Intelligence ngokuguqula idatha ibe khona okusebenzayo usebenzisa i-ai ekhiqizayo nge-Amazon Q

Amabhizinisi ajwayele ukubhekana nezinselelo ekuphatheni nasekutholeni inani lemininingwane yazo. Ngokusho kukaMcKinsey, ama-78% ezinhlangano manje asebenzisa i-AI okungenani umsebenzi webhizinisi elilodwa (kusukela ngo-2024), ekhombisa ukubaluleka okukhulayo kwezixazululo ze-AI ebhizinisini. Ngokwengeziwe, ama-21% ezinhlangano asebenzisa i-airative AI ahlele kabusha ukugeleza kwawo, ekhombisa ukuthi i-AI iguqula kanjani ukusebenza kwebhizinisi.

UGartner ukhomba ama-analytics anikwe amandla e-AI kanye nokubika njengendawo yokutshalwa kwezimali engumgogodla wezinhlangano ezithengiswayo, abathengisi abaningi abalindele balindele ukuthi bathumele noma balinganise izixazululo ezinjalo ezinyangeni eziyi-12-18 ezizayo. Inkimbinkimbi yedatha yomkhakha yezitolo ifuna izixazululo eziyinkimbinkimbi ezingakwazi ukuhlanganisa ngokuthungatha ngezinhlelo ezikhona. I-Amazon Q Business inikeza izici ezingalinganiswa ukuze zihlangabezane nezidingo ezithile zebhizinisi, kufaka phakathi amandla okuhlanganisa nezinhlelo zokuphathwa kwezitolo ezidumile, amasistimu wokuphatha amaphoyinti, isoftware yokuphathwa kwe-Inventory, kanye nezinhlelo ze-ECommerce. Ngama-Ai algorithms athuthukile, uhlelo luhlaziya idatha yomlando kanye nezitayela zamanje, ukusiza amabhizinisi alungiselele ngempumelelo ukuguquguquka kwesizini ngokufunwa kwesikhathi esithile futhi enze izinqumo eziqhutshwa idatha.

I-Amazon Q Ibhizinisi leRetail Intelligence ngumsizi we-Ai-Powered eyenzelwe ukusiza amabhizinisi okuthengisa ahlehlise ukusebenza, ukuthuthukisa insizakalo yamakhasimende, futhi athuthukise izinqubo zokwenza izinqumo. Lesi sixazululo senziwe ngokukhethekile ukuze silinganiswe futhi sivumelane nezimo kumabhizinisi osayizi abahlukahlukene, ukubasiza bancintisane ngempumelelo. Kulokhu okuthunyelwe, sibonisa ukuthi ungasebenzisa kanjani i-Amazon Q Ibhizinisi le-Retail Intelligence ukuguqula idatha yakho ibe yi-Insights Esebenzayo.

Ukubuka konke

I-Amazon Q Ibhizinisi le-Retail Intelligence yisisombululo esibanzi esiguqula ukuthi abathengisi baxhumana kanjani nedatha yabo isebenzisa i-AI ekhiqizayo. Isakhiwo sesixazululo sihlanganisa amakhono anamandla we-AI akhiqizayo we-Amazon Q ebhizinisini kanye ne-Amazon Quicksionight ukuletha ukuqonda okungenzeka kuyo yonke indawo yonke yezitolo. Isixazululo sethu futhi sisebenzisa ama-Amazon Q Izinhlelo zokusebenza ukuze abantu abathengisa izinto ezithengiswayo nabasebenzisi bangadala izinhlelo zokusebenza ezinamandla ze-AI zokuqondisa imisebenzi yosuku nosuku nosuku lokuhamba kanye nezinqubo zebhizinisi.

Umdwebo olandelayo ukhombisa ukwakhiwa kwesixazululo.

Isixazululo sisebenzisa ukwakhiwa kwama-AWS ngenhla ukuletha ikhambi eliphephile, eliphakeme, nelithembekile lobuhlakani bokuthengisa. I-Amazon q Ibhizinisi lisebenza njengenjini eyinhloko ye-AI ekhiqizayo, enika amandla ukusebenzisana kolimi lwemvelo kanye nokufaka amandla izinhlelo zokusebenza eziqondene nokuthengiswa kwangokwezifiso. I-Architecture ifaka i-AWS IAM Isikhungo Sokuqinisekiswa Kokuqinisekiswa Okuqinile nokulawulwa kokufinyelela, kanye ne-Amazon Simple Storage Service (I-Amazon S3) inikeza i-Secure Data Lake Indawo yokugcina. Sisebenzisa i-QuickSight ngokubona okusebenzayo, ukuthuthukisa ukutolika kwedatha. Ukuguquguquka kwesixazululo kuthuthukiswa futhi ngama-AWS Lambda ukucubungula okungenasici, i-Amazon API Gateway yokuphathwa kahle kwe-Endpover Lesi sixazululo sisebenzisa i-plugin yebhizinisi le-Amazon Q ukufona ama-Endpoints we-API ukuqala ukugeleza komsebenzi okuzenzakalelayo okususelwa kwi-Amazon Q Business Web Web Interface Isicelo semibuzo yamakhasimende nokusebenzisana.

Lokhu kusetha kusebenza ukwakhiwa kwe-tier emithathu: Isendlalelo sokuhlanganiswa sedatha esingena ngokuphepha kwemithombo yezitolo eziningi, ungqimba olusebenzayo lapho i-Amazon Q Ibhizinisi lihlaziya imibuzo futhi ikhiqiza imininingwane ebonakalayo, kanye nesendlalelo esekwe esimweni esivela esibonakalayo.

Sihlinzeke ngethempulethi ye-AWS Cloudformation, ama-datamputa amasampula, kanye nemibhalo ongayisebenzisa ukusetha imvelo yalolu mboniso.

Ezigabeni ezilandelayo, singena sijula ​​ngendlela le mpilo isebenza kanjani.

Ukuthunyelwa

Sihlinzeke ngebhizinisi le-Amazon Q le-Retail Pelligence Solution njengomthombo ovulekile – ungayisebenzisa njengendawo yokuqala yesisombululo sakho futhi usisize sikwenze kube ngcono ngokufaka izicelo ezinikezayo. Vakashela I-GitHub Repository Ukuhlola ikhodi, khetha Qapha Ukuze waziswe ngokukhishwa okusha, bese uhlola i-Readme ukuthola izibuyekezo zakamuva zemibhalo.

Ngemuva kokusetha imvelo, ungangena kwibhizinisi le-Amazon Q ye-Retail Intelligence Dashboard, njengoba kukhonjisiwe ku-skrini elandelayo.

Ungaxhumana nokubuka okusheshayo kanye ne-Amazon Q Yebhizinisi I-Chat Chat Ukubuza imibuzo usebenzisa ulimi lwemvelo.

Izici ezibalulekile namakhono

Abasebenzisi bezitolo bangaxhumana nalesi sixazululo ngezindlela eziningi. Kulesi sigaba, sihlola izici ezibalulekile.

Okwenziwa ngabaphathi be-C-Suite noma ubuholi obuphezulu obufuna ukwazi ukuthi ibhizinisi lakho lenza kanjani, isixazululo sethu sinikeza intshiseko eyodwa yengilazi futhi senza iqonde ukufinyelela futhi ixhumene nedatha yakho yokufaneleka nebhizinisi lakho usebenzisa ulimi lwezemvelo. Isibonelo, abasebenzisi bangahlaziya idatha yokulinganisa njengokuthengisa komkhiqizo noma ukusebenza komkhankaso wokukhangisa kusetshenziswa ukubonwa okubonakalayo okusebenzayo okunikwa amandla okusheshayo kanye nedatha efanelekayo efana ne-Amazon Q esebenzisa ibhizinisi lezemvelo, konke kusuka ku-interface eyodwa.

Cabanga ukuthi ungumhlaziyi wokuthengisa futhi ufuna ukuhlola ukusebenza komkhankaso futhi ufinyelele eziteshini futhi uqhube ukuhlaziywa kokusetshenziswa kwe-AD vs. Imali engenayo. Ngebhizinisi le-Amazon Q, ungagijima imibuzo eyinkimbinkimbi enemibuzo yolimi yemvelo nangokwabelana ngezinhlelo zokusebenza ze-Q enamaqembu amaningi. Isixazululo sihlinzeka ngemininingwane ezenzakalelayo ngokuziphatha kwamakhasimende nokusebenza komkhankaso, ukusiza amaqembu ezentengiso enza izinqumo ezisheshayo kanye nezinguquko ezisheshayo zokwandisa i-ROI.

Ngokufanayo, ake sicabange ukuthi ungumhleli wokuthengisa noma umphathi womthengisi futhi ufuna ukuqonda umthelela wezehlakalo ezingavunyelwe izindleko zebhizinisi lakho lamazwe aphesheya obhekene nokungenisa kanye nezinsizakalo. Ungangeza okokufaka ku-Amazon Q Izinhlelo zokusebenza bese uthola izimpendulo ezisuselwa kulowo mkhiqizo noma umndeni womkhiqizo.

Abasebenzisi bangathumela futhi izicelo ngama-APIs besebenzisa ama-plugins webhizinisi le-Amazon Q ngokuxhumana kwangempela ngezicelo ezaphansi. Isibonelo, imenenja yesitolo ingahle ifune ukwazi ukuthi yiziphi izinto ezikusungula zamanje ezidingayo ukuze ziphinde ziphinde ziphinde zivume noma ukubuyela emuva ngeviki elizayo ngokusekelwe ekubikezelweni kwesimo sezulu noma emicimbini yezemidlalo yendawo.

Ukuze ufunde kabanzi, bhekisa kwidemo elandelayo ephelele.

Kulokhu okuthunyelwe, asikaze sisebenzise amakhono webhizinisi elikhiqizayo (bi) amakhono e-Amazon Q ngokubona kwethu okusheshayo. Ukuze ufunde kabanzi, bheka i-Amazon Q ekujuleni ngokushesha.

Ukunika amandla ama-retail mathupha anobuhlakani be-AI aqhutshwa

I-Amazon Q Ibhizinisi le-Retail Intelligence liguqula ukuthi abathengisi babhekana kanjani nezinselelo zabo zedatha ngomsizi onamandla we-AI. Lesi sixazululo sihlanganisa ngaphandle komthungo ngezinhlelo ezikhona, kusetshenziswa ukubuyiselwa kwemali okuvunyelwe kwe-augmented (rag) ukuhlanganisa imithombo yedatha nokuletha ukuqonda okusebenzayo ngesikhathi sangempela.Ukulandelayo ezinye zezinzuzo ezibalulekile zezindima ezahlukahlukene:

• Abaphathi be-C-Suite – Finyelela amadeshibhodi e-real-time wesikhathi sangempela samamethrikhi wenkampani ebanzi nama-KPIs ngenkathi usebenzisa izincomo eziqhutshwa yi-AI ngezinqumo zamasu. Sebenzisa ama-analytics wokubikezela ukuze ulindele amashifu wabathengi futhi unike amandla ukulungiswa kwamasu okusebenzayo kokukhula kwebhizinisi.
• Abathengisi – Thola imininingwane ngokushesha kwizitayela zokuthengisa, ama-margins wenzuzo, namanani we-yokusungula inzuzo nge-automated automated amathuluzi namasu we-AI-Powered Pricing. Khomba bese ubeka imali ekutayelweni kwezitayela ezifuphezelayo ngokusebenzisa ama-analytics aqagelayo wokuhlanganiswa komkhiqizo ofanele kanye nokuphathwa kwezigaba.
• Abaphathi be-Inventory – Sebenzisa ukusebenza kahle kwe-stock-stockle level level ezindaweni eziningi zezitolo izindawo ngenkathi kuthululwa imisebenzi ngokubala kabusha okuzenzakalelayo kwamaphuzu. Bika ngokunembile futhi ulungiselele ukuguquguquka kwesidingo sonyaka ukuze ulondoloze amazinga afanele wokusungula ngesikhathi sezikhathi eziphakeme.
• Abaphathi besitolo – Khulisa ukusebenza kahle kokusebenza ngokwenza kahle kwezisebenzi ezibikezelwe ngenkathi ufinyelela ukuqonda okuningiliziwe mayelana nezimo zasendaweni ezithinta ukusebenza kwesitolo. Qhathanisa amamethrikhi esitolo ngokumelene nezinye izindawo usebenzisa amathuluzi wokulinganisa ama-mokathi ukukhomba ukuthola amathuba okuthuthukisa.
• Abahlaziyi bemakethe – Qapha futhi uhlaziye ukusebenza komkhankaso wokukhangisa kuzo zonke iziteshi ngesikhathi sangempela ngenkathi uthuthukisa izingxenye zamakhasimende eziyinkimbinkimbi usebenzisa ukuhlaziya okuqhutshwa yi-AI. Bala futhi uthuthukise i-ROI yokumaketha zonke iziteshi zokwabiwa kwesabelomali esisebenzayo kanye nokusebenza komkhankaso othuthukisiwe.

I-Amazon Q Ibhizinisi le-Retail Intelligence yenza ukuhlaziya okuyinkimbinkimbi kwedatha kufinyeleleke kubasebenzisi abahlukahlukene ngesibonisi sayo solimi semvelo. Lesi sixazululo sinika amandla okwenza izinqumo eziqhutshwa yizinqumo ezinhlanganweni zokwenza izinhlangano ngokuhlinzeka ngemininingwane eqondene nomphumela ephula ama-silos wedatha yendabuko. Ngokuhlinzeka nge-retail persona ngayinye evumelanisa ama-analytics kanye nezincomo ezisebenzayo, izinhlangano zingafinyelela ukusebenza kahle kokusebenza okukhulu futhi zilondoloze umphetho wokuncintisana we-Dynamic Landscape.

Ukugcina

I-Amazon q Ibhizinisi leRetail Intelligence lihlanganisa amandla akhiqizwayo we-AI ngamathuluzi anamandla okubona ukuze aguqule ukusebenza kwezitolo. Ngokunika amandla ukusebenzisana kolimi lwemvelo ngezinhlelo eziyinkimbinkimbi zedatha, lesi sixazululo sibonisa ukufinyelela okuthe xaba idatha kumazinga wenhlangano, kusuka kubaphathi be-C-Suite ukugcina abaphathi. Ikhono lohlelo lokuhlinzeka ngemininingwane eqondene nomsebenzi, ashintshe uhambo lokuhamba komsebenzi, futhi lusebenzise izikhundla zokuthatha izinqumo zesikhathi sangempela njengethuluzi elibalulekile lamabhizinisi okuthengisa afuna ukugcina ukuncintisana emhlabeni wanamuhla onamandla. Njengoba abathengisi baqhubeka nokwamukela izixazululo ze-AI

Ukuze ufunde kabanzi mayelana nezixazululo neminikelo yethu, bheka ibhizinisi le-Amazon Q kanye ne-AWO ekhiqizayo kuma-AWS. Ngosizo lwesazi, izinsizakalo ze-AWS Professional Services, AWS DECTION AIT Partner Solutions, kanye nama-AWS Converative APROCTION APRECTION ARECTION ARECTIVE APROPTION akhona ukusiza.

Mayelana nababhali

I-Suprakash Dutta Ingabe ukwakhiwa kwezixazululo eziphezulu e-Amazon Web Services, okuholayo kwamasu wefu wefu we-Fortune 500 abathengisi namabhizinisi amakhulu. Usebenza ngokukhethekile ekwakheni izixazululo zokuthengisa ezibucayi zemishini eqhuba imiphumela ebalulekile yebhizinisi, kufaka phakathi izinhlelo ezisuselwa efloud-resure, ukukhiqizwa kwe-AI, kanye nezindlela zokuthengisa izitolo. Ungumakhi we-multi-Cloud Certified futhi ulethe izixazululo eziguqukayo ezenziwa imisebenzi yesimanje kuyo yonke izinkulungwane zezindawo zokuthengisa ngenkathi ushayela i-Effession esebenza ngezobunhloli ye-AI.

I-Alberto Alonso Ingabe ukwakhiwa kwezixazululo ezikhethekile e-Amazon Web Services. Ugxile ku-ai ekhiqizwayo nokuthi ingasetshenziswa kanjani ezinseleleni zebhizinisi.

Abhijit duta Ukwakhiwa kwe-Sr. Solutions ku-Retail / CPG mpo mpo emathuneni, ugxile ezindaweni ezisemqoka njengokufuduka kanye nokwenza izinqumo zefa, ukwenziwa kwezinqumo eziqhutshwa yisikhathi, kanye nokusebenzisa amandla e-AI / ML. Ubuchwepheshe bakhe buhlala ekusizeni izinhlangano zisebenzise ubuchwepheshe befu ngezinhlelo zabo zokuguqula izinguquko, ngokugcizelela okuthile kuma-analytics kanye nezixazululo ze-AI zokwakha.

Ramesh venkataraman Ingabe ukwakhiwa kwezixazululo okuthokozela ukusebenza namakhasimende ukuxazulula izinselelo zawo zezobuchwepheshe kusetshenziswa izinsizakalo ze-AWS. Ngaphandle komsebenzi, iRamesh iyakujabulela ukulandela imibuzo echichimayo futhi iziphenduli nganoma iyiphi indlela.

Awili nazhiyath I-SR. Solutions Architect e-Amazon Web Services Retail / CPG mpo. Uyakujabulela ukusebenza namakhasimende we-Retail / CPG ukunika amandla ama-retail ashushiswe ubuchwepheshe obusha, abaneminyaka engaphezu kwengu-20 yobuchwepheshe ezingxenyeni eziningi zokuthengisa kanye nezizinda emhlabeni jikelele.

Krishnan Hariharan I-SR. MASANDER, I-Solutions Archites e-AWS esekelwe eChicago. Endimeni yakhe yamanje, usebenzisa inhlanganisela yakhe ehlukahlukene yamakhono amakhasimende, umkhiqizo, ubuchwepheshe kanye namakhono okusebenza ukusiza abathengi bezitolo / CPG ukwakha izixazululo ezinhle kakhulu kusetshenziswa ama-AWS. Ngaphambi kwe-AWS, iKrishnan yayinguMongameli / i-CEO eKespry, kanye neCoo at LightGuide. Une-MBA esuka eFuqua School of Business, e-Duke University kanye ne-bachelor yesayensi e-Electronics eDelhi University.