Indlela Yokuphepha "Isohlwayo" Se-Algorithm Emva Kokugcina Impahla: Amaqhinga Okusebenza Acociweyo Okuthintela Iimveliso Ezingathengiswa Kakhulu Ukuba Zingene Kwiivenkile Ezinexabiso Eliphezulu

Indlela Yokuphepha "Isohlwayo" Se-Algorithm Emva Kokugcina Impahla: Amaqhinga Okusebenza Acociweyo Okuthintela Iimveliso Ezingathengiswa Kakhulu Ukuba Zingene Kwiivenkile Ezinexabiso Eliphezulu

Injongo yokuqala yendlela yokugcina impahla ye-Amazon FBA yayikukuphucula ukusebenza kakuhle kwempahla kunye nokuphucula amava abathengi ngokusebenzisa indawo yokugcina impahla ekufutshane. Nangona kunjalo, kubathengisi abanqumla imida, ukungalingani kwempahla emva kwendawo yokugcina impahla kube yinto eqhelekileyo yokusebenza. Ngokukodwa, ukusasazwa kakubi kwe-algorithm kweemveliso ezithengiswa kancinci kwiindawo zokugcina impahla ezibiza kakhulu, ezibiza kakhulu eYurophu nase-US kunyusa ngokuthe ngqo iifizi zokugcina kwaye kunciphisa inzuzo, kube "ngumgibe ofihliweyo" kubathengisi abaninzi. Njengomboneleli weenkonzo obandakanyeka kakhulu kwi-logistics ye-Amazon FBA kunye nokuxhaswa kwekhonkco lonikezelo lweempawu, iBrand Empowerer, ngokusekelwe kumava ayo asebenzayo ekhonza iimpawu ezingaphezu kwe-100 ezinqumla imida, iqala kwindawo yesibini yokungahambisani kwempahla emva kwendawo yokugcina impahla, ihlalutya ingqiqo esisiseko yokwabiwa kwe-algorithm, kwaye yabelana ngamaqhinga okusebenza acocekileyo ukukhokela i-algorithm ngedatha kunye nokuphepha ukungalingani kwiindawo zokugcina impahla ezibiza kakhulu, ukuqinisekisa ukuba indawo yokugcina impahla ye-FBA iphucula ngokwenene ukusebenza kakuhle kunokuba ibe ngumthwalo weendleko.

I. Iingxaki zeSibini zokungangqinelani kwempahla emva kokugcinwa kwayo: Ilahleko yeChain Reaction evela kwiimveliso ezithengiswa kancinci ezibekwa kwiindawo zokugcina impahla ezinamaxabiso aphezulu

I-algorithm yokwabiwa kweendawo zokugcina impahla ye-Amazon inika ngokuzenzekelayo iindawo zokugcina izinto ngokusekelwe kwidatha enemilinganiselo emininzi efana nokuthengiswa kwemveliso, umthamo wenethiwekhi yendawo yokugcina impahla, kunye nemfuno yabathengi beendawo. Nangona kunjalo, uhlobo "lobuchwephesha" lwale algorithm ludla ngokungahambelani nesantya sokusebenza kwabathengisi. Ingxaki yeemveliso ezithengiswa kancinci ezithunyelwa kwiindawo zokugcina impahla ezinexabiso eliphezulu emva kokwabiwa kweendawo zokugcina impahla ayikokunyuka nje kweendleko zokugcina, kodwa kunoko ibangela uthotho lweempendulo zelahleko zokusebenza, zibe ziingxaki ezininzi kubathengisi abawela imida.

Iindleko Eziphezulu Zokugcina Izinto kunye Neenzuzo Ezihlala Ziwohloka: Iindawo zokugcina izinto ezinamaxabiso aphezulu kwiindawo eziphambili zaseYurophu naseMelika ezifana neCalifornia (USA), London (UK), kunye neMunich (Jamani) azinazo nje kuphela iifizi zokugcina zenyanga ezidlula kakhulu ezo zeendawo zokugcina izinto eziqhelekileyo, kodwa ukunyuka okulinganiselweyo kwifizi zokugcina izinto ezifike emva kwexesha elide kwenza iimveliso ezithengiswa kancinci zibe "yimithwalo yempahla." Iimveliso ezithengiswa kancinci ngokwemvelo zinengeniso ecothayo kunye nokubuyiselwa kwemali okulibazisekayo; kunye nokusetyenziswa kweendleko okuqhubekayo kweendawo zokugcina izinto ezinamaxabiso aphezulu, oku kukhokelela ngokuthe ngqo kwinzuzo engekhoyo okanye ilahleko kwinto nganye.

Ukusebenza kakuhle kokuthengiswa kwezinto ezisetyenzisiweyo kunye nokuhamba kwemali okuxineneyo: Umthamo wempahla yokugcina impahla ebiza kakhulu kufuneka unikezelwe kwiimveliso ezithengiswa kakhulu nezithengiswa kakhulu. Ukwabiwa gwenxa kwezinto ezithengiswa kancinci kuthatha umthamo obalulekileyo, okukhokelela kungekuphela nje ekugcinweni okwaneleyo kunye nokulibaziseka kokuhlaziywa kweemveliso ezithengiswa kakhulu, kodwa kwanokwandisa iintsuku zokuthengiswa kwezinto ezithengiswayo. Isixa esikhulu semali sixhomekeke kwimpahla ethengiswayo engasebenzi kakuhle, nto leyo echaphazela izicwangciso zokuthengiswa kwabathengisi kunye nophuhliso lwemveliso entsha.

"Umjikelo ongalunganga" obangelwa yi-algorithm kunye nokwabiwa gwenxa okuphindaphindiweyo: I-algorithm ye-Amazon iqhubeka nokwenza ngcono i-logic yokwabiwa ngokusekelwe kwidatha yendawo yokugcina impahla kunye nokusebenza kwempahla. Ukuba izinto ezihamba kancinci zihlala zikwimeko yokutshintsha okuphantsi kwiindawo zokugcina impahla ezinamaxabiso aphezulu ixesha elide, i-algorithm isenokujonga gwenxa amandla okufunwa kwaloo mveliso kuloo mmandla, nto leyo enokubangela ukuba kuqhutyekwe nokwabiwa kuloo ndawo yokugcina impahla ngexesha lokuzaliswa kwakhona. Oku kudala umjikelo ongalunganga "wokwabiwa gwenxa - ukutshintshiselana okuphantsi - ukwabiwa gwenxa ngakumbi," kubeka abathengisi kwindawo engenzi nto.

Ukwanda kweendleko zothutho kunye nokwabiwa kwezinto, okukhokelela kwilahleko yesibini: Ukuze kulungiswe imiba yokungangqinelani kwezinto ezikhoyo, abathengisi badla ngokufuna ukudlulisela izinto ezikhoyo eziphantsi ukusuka kwiindawo zokugcina impahla ezinamaxabiso aphezulu ukuya kwiindawo zokugcina impahla eziqhelekileyo okanye ezingabizi kakhulu. Nangona kunjalo, ukudluliselwa kwezinto kwiindawo zokugcina impahla eziwela umda akugcini nje ngokubangela iindleko ezongezelelweyo zothutho kodwa kukwajongene neengxaki ezifana namaxesha okudlulisa izinto kancinci kunye nomonakalo weempahla ekuhambeni, nto leyo enyusa iindleko zokusebenza.

Kubathengisi abanqumla imida, ukungalingani kwempahla emva kokwabiwa kweendawo zokugcina impahla akuyongozi kodwa sisiphumo esingenakuphepheka sokungalingani phakathi kwedatha ye-algorithmic kunye nedatha yokusebenza yokwenyani. Ukuze kuthintelwe le ngxaki, eyona nto iphambili asikokulwa ne-algorithm, kodwa kukukhokela i-algorithm ngokubonakalayo ukwenza izigqibo zokwabiwa kweendawo zokugcina impahla ezihambelana neemfuno zokwenyani zomthengisi ngokuphucula idatha yokusebenza.

II. Ingcamango Esisiseko Yokwabiwa Kwendawo Yokugcina Izinto: Ukuqonda Ubungakanani Bedatha Ukuze Kube Nesikhokelo Esichanekileyo

Ukuze usebenzise idatha ukukhokela i-algorithm, kubalulekile ukuqonda ubungakanani bedatha engundoqo ye-algorithm yokwabiwa kwe-Amazon FBA warehouse. I-logic yayo yokwabiwa ayisekelwanga kumlinganiselo omnye "womthamo wentengiso," kodwa kumyinge opheleleyo olinganisiweyo wemilinganiselo yedatha emininzi. Ubukhulu bedatha engundoqo buquka oku kulandelayo: Idatha yentengiso yembali: Oku kuquka ubungakanani bentengiso yemveliso, izinga lokuguqulwa, kunye nezinga lokuthengwa kwakhona kwimimandla eyahlukeneyo. Esi sisiseko esiphambili se-algorithm yokugweba imfuno yengingqi; iindawo ezithengisa kakhulu zihlala zibekwa phambili ekunikezelweni kwempahla.

Idatha yokuzalisa impahla: Ubuninzi bokuzalisa impahla, ubungakanani, kunye nexesha zichaphazela uvavanyo lwe-algorithm lwezakhono zokucwangcisa impahla zomthengisi. Isingqisho sokuzalisa impahla esizinzileyo senza i-algorithm ithambekele ngakumbi ekwabeni umthamo wendawo yokugcina impahla ngendlela efanelekileyo.

Idatha yeMpawu zeMveliso: Iimpawu zemveliso ezifana nobunzima, umthamo, udidi, kunye nobuthathaka zichaphazela isigqibo se-algorithm malunga nokusetyenziswa kwezixhobo zokugcina impahla. Izinto ezinkulu nezinzima zinokwenzeka ukuba zabelwe kwiindawo zokugcina impahla ezikude ezineendleko zokugcina eziphantsi, ngelixa izinto ezincinci nezikhaphukhaphu zinokwenzeka ukuba zibekwe kwiindawo zokugcina impahla eziphambili nezinexabiso eliphezulu.

Ukusebenza kweAkhawunti iyonke: Imilinganiselo yokusebenza komthengisi efana nokusebenza kwevenkile, izinga lokungasebenzi kakuhle kwee-odolo, kunye nezinga lokuhanjiswa emva kwexesha ichaphazela ukuthembana kwe-algorithm kumthengisi. Iiakhawunti ezisebenza kakuhle zifumana isabelo sendawo yokugcina impahla esiguquguqukayo ngakumbi.

Idatha yeNethiwekhi yeWarehouse yexesha langempela: Umthamo we-real-time warehouse, umthamo wokukhetha, kunye noxinzelelo lwezothutho kwiindawo ezahlukeneyo zokugcina impahla zeAmazon zichaphazela ngokuthe ngqo iziphumo zokwabiwa kwe-warehouse. Ngexesha lexesha eliphezulu xa umthamo we-warehouse uncinci, ukungacwangciswanga kokwabiwa kwe-algorithm ye-warehouse kukhula kakhulu.

I-algorithm ye-Amazon ngokuyintloko "lulwabiwo oluqhutywa yidatha olusekelwe kwingqiqo," kodwa ubuthathaka bayo busekungakwazini kwayo ukubamba ngokuchanekileyo iinjongo zokucwangcisa ukusebenza kwabathengisi (ezifana nezicwangciso zokususa uluhlu lwemveliso ethile okanye ukwandisa kancinci kancinci ukuthengiswa kwemveliso entsha). Indawo ephambili yokusebenza yabathengisi ikwindlela yokwenza ngcono imilinganiselo yedatha elawulwayo ngesandla ukuqinisekisa ukuba i-algorithm ifumana "iimpawu ezichanekileyo ezihlangabezana neemfuno zokusebenza," ngaloo ndlela ithintela iimveliso ezinomthamo ophantsi ukuba zingathunyelwa kwiindawo zokugcina iimpahla ezinamaxabiso aphezulu.

III. Amaqhinga Okusebenza Acociweyo Akhokelwa Yidatha: Ukuphepha Iingxaki Kumthombo Nokuphucula Inkqubo

Ngokusekelwe kumava asebenzayo eBrand Empowerer ekhonza iiprojekthi ze-e-commerce ezingaphezu kwewaka eziwela imida, kwaye kunye nengqiqo esisiseko ye-algorithm yokwabiwa kweendawo zokugcina impahla yeAmazon, siqokelele iseti yezicwangciso zokusebenza eziphuculweyo nezinokusebenziseka kuzo zonke iinkalo ezine: ukukhethwa kwemveliso kunye nokucwangciswa kwempahla kwindawo yomthombo, ukulungiswa kwe-algorithm eqhutywa yidatha, ulawulo lwempahla emva kokwabiwa, kunye nentsebenziswano yezixhobo zangaphandle ze-logistics. Ezi zicwangciso zinceda abathengisi ukuba baphephe ngokusisiseko iimveliso ezinomthamo ophantsi eziphelela kwiindawo zokugcina impahla ezinamaxabiso aphezulu.

(I) Ulawulo lweMvelaphi: Ukukhethwa kweMveliso kunye noLuhlu lwempahla

Ukuceba Ukuthintela Ukungangqinelani Kwempahla Ukungangqinelani kwempahla emva kokwabiwa kwempahla yokugcina impahla kudla ngokuqala kwinqanaba lokucwangcisa impahla. Ukuvela kweemveliso ezinomthamo omncinci akuyongozi, kodwa kungenxa yokuphambuka ekukhetheni imveliso kunye nokuceba ukuyizalisa. Ulawulo olusebenzayo oluqhutywa yidatha ngexesha lokukhetha imveliso kunye nokuceba impahla kunokunciphisa amathuba okungangqinelani kwimvelaphi.

Misela inkqubo yokubeka amanqaku entengiso yemveliso ukuze kwabelwe ngokuchanekileyo indawo yokugcina impahla: Ngokusekelwe kwidatha yokuthengisa yembali yeenyanga ezi-3-6, iimveliso zahlulwe zibe ngamanqanaba amane ngokwezinga lokuthengisa kunye nenzuzo epheleleyo: S (intengiso ephezulu, inzuzo ephezulu), A (intengiso ephakathi, inzuzo ephezulu), B (intengiso ephakathi, inzuzo ephakathi), kunye no-C (intengiso ephantsi/inzuzo ephantsi). Iimveliso zenqanaba le-S/A zinokubekwa phambili ukuze zibekwe kwiindawo zokugcina impahla eziphambili ezinamaxabiso aphezulu ukuze zonwabele izibonelelo zokuhanjiswa ngempumelelo ephezulu; Iimveliso zenqanaba le-B/C ezihamba kancinci zicwangciswe ngokucacileyo njenge "ezikhethekileyo kwiindawo zokugcina impahla eziqhelekileyo." Ngokulawula umthamo wokugcwalisa kwakhona kunye nesigqi sokugcwalisa kwakhona, i-algorithm ifumana uphawu lokuba "le mveliso ayifuni ukungena kwindawo yokugcina impahla ephambili enamaxabiso aphezulu."

Ubalo lokugcwalisa olucokisekileyo, ukuphepha ukugcwalisa ngokungaboniyo: Ukuyeka indlela yokugcwalisa "efanayo" kusetyenziswa imodeli yokugcwalisa enemilinganiselo emithathu, edibanisa uqikelelo lwentengiso, isitokhwe sokhuseleko, kunye nomjikelo wokuthengisa. Kwiimveliso ezihamba kancinci (ezikumgangatho we-C), ubungakanani bokugcwalisa bulawulwa ngokungqongqo, bubekwe "kumthamo wentengiso oqikelelweyo wemveliso ngaphakathi kweentsuku ezingama-30 + isitokhwe esincinci sokhuseleko," ukuthintela uluhlu lwezinto ezisetyenzisiweyo ezinkulu ukuba zingagcwali kwiindawo zokugcina impahla. Kwangaxeshanye, umjikelo wokugcwalisa uyandiswa, ovumela i-algorithm ukuba iqaphele imfuno yemarike encinci yemveliso kwaye ithintele ukuba ibekwe phambili kwiindawo zokugcina impahla ezinexabiso eliphezulu.

Ukulungisa ngokuguquguqukayo amaqhinga okugcina impahla ngokusekelwe kumjikelo wobomi bemveliso entsha: Kwiimveliso ezintsha, ngexesha lesigaba sokuqala esihamba kancinci, ukuthunyelwa okukhulu kwiindawo zokugcina impahla ze-FBA kuyathintelwa. Imodeli "yokuvavanya ukuthengiswa kwe-small-batch + ukugcina impahla phesheya kweelwandle" iyasetyenziswa, kuqala kuvavanywe imfuno kwimimandla eyahlukeneyo nge-small-batch stocking. Nje ukuba intengiso iphucuke, ukuphinda kuzaliswe kwenziwa kancinci kancinci kwiindawo zokugcina impahla ezihambelanayo ngokusekelwe kwidatha yokuthengisa yengingqi, ukuthintela iimveliso ezintsha ekubeni zisasazwe gwenxa kwiindawo zokugcina impahla ezinexabiso eliphezulu yi-algorithm ngexesha lesigaba esihamba kancinci.

(II) Imisebenzi Engundoqo: Ukuphucula Idatha Ehlengahlengiswayo kunye Nokukhokela Ngokusebenzayo Ukwabiwa Kwendawo Yokugcina Izinto

Ngokusekelwe ekuqondeni ubukhulu besalathiso esingundoqo se-algorithm, abathengisi banokuthumela imiqondiso echanekileyo yokwabiwa kweendawo zokugcina impahla kwi-algorithm ngokuphucula idatha engundoqo ehlengahlengiswa ngesandla. Oku kuvumela i-algorithm ukuba yabe iindawo zokugcina izinto ngokusekelwe kwiinjongo zokusebenza zomthengisi, eli linyathelo elibalulekileyo ekuphepheni ukubekwa kweemveliso ezinomthamo ophantsi kwiindawo zokugcina impahla ezinamaxabiso aphezulu.

Ukuphucula idatha yokuthengisa yengingqi ukuze kukhokele i-algorithm ekulungiseni izigwebo zemfuno: Kwiimveliso ezinomthamo ophantsi ezisasazwe kakubi kwiindawo zokugcina impahla ezinamaxabiso aphezulu, uhlengahlengiso lwamaxabiso engingqi, iikhuphoni zengingqi, kunye nentengiso yengingqi zinokusetyenziselwa ukwandisa ngokulinganisela ukuthengiswa kwemveliso kwindawo apho ivenkile yokugcina impahla eqhelekileyo ikhona, ngelixa kunciphisa ukuthengiswa kwayo kwindawo apho ivenkile yokugcina impahla enamaxabiso aphezulu ikhona. I-algorithm iya kuphinda ihlole ummandla wemfuno ephambili yemveliso ngokusekelwe kutshintsho lwexesha langempela kwintengiso yengingqi, kwaye iya kubeka phambili ukuyibeka kwiindawo zokugcina impahla eziqhelekileyo ezineentengiso eziphezulu ngexesha lokuphinda kuzaliswe, kancinci kancinci iphule umjikelo ongalunganga.

Ukulinganisa isingqisho sokugcwalisa kunye nokudala "ileyibhile yempahla esemgangathweni ophezulu": I-algorithm ye-Amazon idla ngokubonelela abathengisi ngeendawo zokugcina ezifanelekileyo ezinesingqisho sokugcwalisa esizinzileyo. Kwizinto ezinomthamo omncinci, gcina umjikelo omiselweyo wokugcwalisa (umz., gcwalisa rhoqo emva kweentsuku ezingama-60) kunye nomthamo omncinci wokugcwalisa ukuze kuthintelwe ukuphinda kuzaliseke ngequbuliso ngomthamo omkhulu. Oku kuvumela i-algorithm ukuba ibone ucwangciso lwempahla yento njengento efanelekileyo kwaye ngaphandle komngcipheko wokugcwalisa kakhulu, ithintele ukuba inikezelwe kwiindawo zokugcina impahla ezinamaxabiso aphezulu ukuze nje "isuse umthamo wokugcina." Kwangaxeshanye, kuphephe ukuphela kwesixa, njengoko ukuphela kwesixa ngokulandelelanayo kunokubangela ukuba i-algorithm igwebe ngokungafanelekanga uzinzo lwemfuno yento, okwandisa amathuba okungafani.

Lungiselela ulwazi lweempawu zemveliso kwaye udibanise izixhobo zokugcina impahla ngendlela efanelekileyo: Kwizinto ezinomthamo omncinci nezinzima, phucula ulwazi lweempawu zemveliso, uzalise ngokuchanekileyo iiparameter ezinje ngobunzima, umthamo, kunye nodidi. Oku kuvumela i-algorithm ukuba ibone ngokucacileyo indawo yokugcina impahla. Ngokusekelwe kumgaqo "wokufanisa izixhobo", i-algorithm iya kwabela ezi zinto kwiindawo zokugcina impahla eziqhelekileyo ezineendleko zokugcina eziphantsi kunye nomthamo owaneleyo, endaweni yeendawo zokugcina impahla eziphambili ezinexabiso eliphezulu. Kwangaxeshanye, kuphephe ukutshintsha ngokungacwangciswanga ulwazi lweempawu zemveliso, njengoko utshintsho oluqhelekileyo lunokubangela ukuba i-algorithm igwebe gwenxa idatha yemveliso.

Ukuphucula ukusebenza kwevenkile iyonke kunye nokufumana amalungelo okwabiwa ngcono kwi-algorithm: Ukusebenza kwevenkile esemgangathweni ophezulu sisiseko se-algorithm yokunika amalungelo okwabiwa kweendawo zokugcina impahla eziguquguqukayo. Abathengisi kufuneka balawule ngokungqongqo izalathisi zokusebenza eziphambili ezifana nezinga lokungasebenzi kakuhle kwe-odolo (ODR), izinga lokuthunyelwa emva kwexesha, kunye nezinga lokurhoxisa, bezigcina zikwinqanaba eliphezulu elifunekayo yi-Amazon. Kwiiakhawunti ezisebenza kakuhle, ukwabiwa kweendawo zokugcina impahla kwe-algorithm kuya kuhambelana ngakumbi nedatha yokuthengisa yokwenyani, nto leyo enciphisa kakhulu amathuba okwabiwa kakubi. Ngaphezu koko, ngexesha lexesha eliphezulu xa iimpahla zixinene, ii-akhawunti zinokufumana ukubaluleka okuphezulu ekwabiweni kwezinto ezikhoyo.

(III) Uhlengahlengiso loKwabiwa kweNdawo yokuGcina impahla

Ukunciphisa ilahleko ngexesha elifanelekileyo kunye nokusonjululwa kokwabiwa kakubi kwezinto ezikhoyo
Nokuba kucetywa kakuhle imithombo kunye nokulungiswa kwedatha, iimveliso ezinomthamo omncinci zisenokusasazwa kakubi kwiindawo zokugcina impahla ezinamaxabiso aphezulu ngexesha lexesha eliphezulu okanye amaxesha okulungiswa kwe-algorithm. Kwiimeko ezinjalo, amanyathelo okulungisa ngexesha elifanelekileyo ayafuneka ukuthintela ezinye iilahleko kwaye ngaxeshanye kuthunyelwe "uphawu lokulungisa" kwi-algorithm.

Ukudluliselwa kwenani elincinci + ukususwa kwenani lempahla kwindawo yokugcina impahla ngokukhawuleza ukuze kususwe ngokukhawuleza impahla engaphantsi kwiindawo zokugcina impahla ezixabisa kakhulu: Kwiimveliso ezingaphantsi ezisele zikwiindawo zokugcina impahla ezixabisa kakhulu, ukuba inani lempahla lincinci, ukudluliselwa kwenani elincinci phakathi kweendawo zokugcina impahla kungasetyenziselwa ukuzifudusela kwiindawo zokugcina impahla eziqhelekileyo. Ukuba inani lempahla likhulu kwaye iindleko zokudluliselwa ziphezulu kakhulu, ukususwa kwenani lempahla kwindawo yokugcina impahla kungasetyenziswa, kudityaniswe nezaphulelo zangaphakathi zeAmazon, iiLightning Deals, kunye neendlela zokukhupha impahla, ukuze kususwe ngokukhawuleza impahla kwiindawo zokugcina impahla ezixabisa kakhulu kwaye kuthintelwe iifizi zokugcina ezidlulileyo. Emva kokususwa kwenani lempahla, umthamo wokuthunyelwa kwale mveliso kufuneka ulawulwe ngokungqongqo ngexesha lokuphinda kuzaliswe ukuze kukhokelwe i-algorithm yokulungisa icebo lokwabiwa kwempahla kwindawo yokugcina impahla.

Ukusebenzisa "iNkonzo yokuHlanganisa" ukulungisa ulwakhiwo lwempahla oluguquguqukayo: Inkonzo yokuBeka izinto kwi-FBA ye-Amazon ivumela abathengisi ukuba bathumele zonke izinto kwi-warehouse enye, ethi emva koko i-Amazon iyisasaze. Nangona kukho umrhumo omncinci wokudibanisa, ilawula ngokufanelekileyo indawo yokugcina iimveliso eziphantsi. Kwiimveliso eziphantsi, abathengisi banokukhetha inkonzo yokudibanisa ukuze bazithumele kwiindawo zabo zokugcina impahla ezimiselweyo, ngokusisiseko baphephe ukusasazwa kakubi kwe-algorithmic kwiindawo zokugcina impahla ezinexabiso eliphezulu. Oku kufanelekile kwiimveliso eziphantsi eziphantsi ezinezinga lokuthengisa elizinzileyo kunye ne-inventory encinci. Ukubeka iliso kwedatha ye-inventory ngokufanelekileyo kubalulekile ekufumaneni ngexesha elifanelekileyo ukungangqinelani: Misela inkqubo yokubeka iliso kwi-inventory ye-FBA ngexesha langempela. Sebenzisa idatha yasemva ye-Amazon okanye izixhobo zohlalutyo lwedatha yomntu wesithathu ukujonga amanqanaba e-inventory ngexesha langempela, amazinga okuthengisa, kunye neendleko zokugcina imveliso nganye kwiindawo zokugcina impahla ezahlukeneyo. Sebenzisa indlela yokulumkisa kwangethuba "izinto eziphantsi ezingena kwiindawo zokugcina impahla ezinexabiso eliphezulu." Nje ukuba ukungangqinelani kufunyenwe, kufuneka kuthathwe amanyathelo okulungisa ngokukhawuleza ukuthintela ukwakheka kwexesha elide kwe-inventory kunye nokwanda kwelahleko.

(IV) Intsebenziswano Yangaphandle: Ukusebenzisa Izixhobo Zobuchwephesha Zothutho Ukulungisa Iingxaki Ze-Algorithm Yeqonga

I-algorithm yokwabiwa kweendawo zokugcina impahla ye-Amazon ayigqibelelanga; ubukhulu bayo bedatha abunakufikelela ngokupheleleyo kwiimfuno zokusebenza zabathengisi. Ukusebenzisa ababoneleli beenkonzo zothutho oluvela kwiinkampani ezahlukeneyo kunye nababoneleli beenkonzo zothutho kunokulungisa ngempumelelo iintsilelo ze-algorithmic zeqonga, ukubonelela ngenkxaso yothutho yokwabiwa kwempahla kunye nokunciphisa ngakumbi ingxaki yezinto eziphantsi ezingena kwiindawo zokugcina impahla ezinamaxabiso aphezulu.

Ukwamkela imodeli ye-warehouse eneendawo ezimbini "ye-FBA warehouse + i-overseas warehouse" ukuze kuguqulwe i-inventory eshukumayo kancinci: Iimveliso ze-S/A ezihamba kakhulu zifakwa kwiindawo zokugcina impahla eziphambili ze-Amazon FBA ukuze zizuze kwiingenelo ze-logistics zeqonga; iimveliso ze-B/C ezihamba kancinci zifakwa kwiindawo zokugcina impahla zaphesheya kwezilwandle zangaphandle zangaphandle, apho kugcinwa khona impahla kunye nokuhanjiswa kwayo. Oku akugcini nje ngokuthintela iindleko zeendawo zokugcina impahla ze-FBA ezibiza kakhulu kodwa kuvumela nokulungiswa kwe-inventory okuguquguqukayo, apho i-inventory inikezelwa kwiindawo zokugcina impahla ze-FBA njengoko kufuneka ngokusekelwe kwimfuno yemarike. I-Brand Empowerer inikezela ngeenkonzo zoyilo lwe-inventory zaphesheya kwezilwandle zabathengisi abanqumla imida, ivumela ukuhlanganiswa okungenamthungo phakathi kweendawo zokugcina impahla ze-FBA kunye neendawo zokugcina impahla zaphesheya kwezilwandle, ibonelela ngesisombululo se-inventory esingabizi kakhulu kwi-inventory eshukumayo kancinci.

Ukusebenzisa i-DDP yobungcali ye-FBA Inkonzo yezoThuthos zolawulo oluchanekileyo lweendawo zokugcina iimpahla zokuthutha: Ababoneleli beenkonzo zothutho ze-FBA DDP abaziingcali banamava amaninzi endawo yokugcina iimpahla ze-Amazon kunye namava okuthumela iimpahla, nto leyo ebenza bakwazi ukukhetha ngokuchanekileyo amazibuko okuthumela iimpahla kunye neendawo zokugcina iimpahla zokuqala ngokusekelwe ekusebenzeni komthengisi ekuthengiseni imveliso, nto leyo enciphisa amathuba okuba impahla engaphantsi isasazwe kwiindawo zokugcina iimpahla ezinamaxabiso aphezulu ukusuka kumthombo wempahla. I-Brand Empowerer, umboneleli weenkonzo zothutho ophambili eTshayina ogxile ekuxhobiseni uthotho lwezinto ezithengiswayo kwiibhrendi, inikezela ngenkonzo ye-Amazon FBA DDP yokungena kwindlu ngendlu ukusuka eTshayina ukuya kwihlabathi liphela. Ixhasa ukukhethwa kweendawo zokugcina iimpahla ngokwezifiso ngokusekelwe kucwangciso lwempahla yabathengisi kwaye ibonelela ngokulandelela izinto ngexesha langempela, ivumela abathengisi ukuba bajonge intshukumo yezinto ezisetyenzisiweyo kuyo yonke inkqubo.

Ukusebenzisa idatha yekhonkco lokubonelela ukuze kuphuculwe ucwangciso lokusasazwa kwempahla: Ababoneleli beenkonzo zokubonelela ngeemveliso abaziingcali banika abathengisi uhlalutyo lwedatha oluvela kumacandelo onke kunye neengcebiso zokusebenza. Ngokusekelwe kwidatha enkulu kushishino kunye nedatha yevenkile yomthengisi, inceda abathengisi ukuba baphucule ukuthengiswa kwemveliso ngokwezinga, ukubalwa kokugcwalisa kwakhona, kunye nocwangciso lokusasazwa kwempahla yokugcina impahla. I-Brand Empowerer inezixhobo zomthengisi ezingaphezu kwe-100,000 kunye namava asebenzayo kwiindidi zeemveliso ezingaphezu kwe-100, ibonelela ngezisombululo zekhonkco lokubonelela ezenzelwe wena kubathengisi abawela imida. Ukusuka ekukhethweni kwemveliso kunye nokugcwalisa kwakhona ukuya ekusasazweni kwempahla yokugcina impahla, yonke inkqubo ixhaswa yidatha, iqinisekisa ukuba uyilo lwempahla yabathengisi luhambelana ngcono neemfuno zemarike kwaye ngokusisiseko kunciphisa ukuveliswa kwempahla eshukumayo kancinci.

IV, eyona nto iphambili yokwahlulwa kweendawo zokugcina impahla kukulungelelaniswa kwedatha kunye nemisebenzi ngendlela ezimbini.

Ukungalingani kwempahla emva kokwahlulwa kwe-Amazon FBA warehouse ngokuyintloko kukungangqinelani phakathi kwe-algorithm yeqonga "yengqiqo yedatha" kunye "nengqiqo yorhwebo" yokusebenza komthengisi. Isitshixo sokuthintela iimpahla eziphantsi ukuba zingene kwiindawo zokugcina iimpahla ezinamaxabiso aphezulu asikokuzama ukutshintsha i-algorithm, kodwa kukuphucula idatha yokusebenza ukuqinisekisa ukulungelelaniswa okubini phakathi kwengqiqo yokwabiwa kwe-algorithm kunye nocwangciso lokusebenza komthengisi.

Ukhuphiswano kwi-e-commerce ewela imida kudala lungene kwixesha lemisebenzi ephucukileyo. Ukwahlulwahlulwa kweendawo zokugcina impahla, njengenxalenye ephambili yolawulo lweendawo zokugcina impahla, kuchaphazela ngokuthe ngqo ulawulo lweendleko zabathengisi kunye nemida yenzuzo. Ukuphucula ngokwenene ukusebenza kakuhle ngokusebenzisa ukwahlulwahlulwa kweendawo zokugcina impahla ze-FBA, abathengisi kufuneka badlulele ngaphaya kwengqondo "yokwamkela ngokungakhathali ukwabiwa kwe-algorithmic" kwaye babe ngabalawuli bedatha ngokukhawuleza. Oku kubandakanya ukuseka inkqubo yokucwangcisa izinto eziqhutywa yidatha, ukuphucula idatha engundoqo elawulekayo, ukusombulula ngokukhawuleza ukungalingani kwezinto ezisetyenzisiweyo emva kokwahlulwahlulwa kweendawo zokugcina impahla, kunye nokusebenzisa izixhobo zobungcali zezothutho kunye nezixhobo zokuhambisa ukuze kwenziwe isicwangciso esibanzi sokusebenza esiquka "ucwangciso lwemithombo - isikhokelo sedatha - ulawulo lwenkqubo - intsebenziswano yangaphandle."