Isingeniso

Ukunemba nokusebenza kahle akuxoxiswana ngayo ekucubungulweni kwezinkokhelo kunoma iyiphi inkampani, kungaba izinkokhelo ezitholwa inkampani ngemikhiqizo/izinkonzo ezihlinzekiwe, noma ezinikezwa abathengisi ngemikhiqizo/izinsizakalo ezitholiwe. Ukubuyisana kwenkokhelo kuyinqubo yokuqinisekisa yonke imisebenzi yokukhokha. Kubandakanya ukuqhathanisa amarekhodi okwenziwayo avela emithonjeni eyahlukene, njengama-invoyisi, isitatimende sasebhange, namarisidi okukhokha, ukuze kubonakale ukungqubuzana namaphutha. Njengoba amabhizinisi anda futhi amanani okwenziwayo anda, ukwenziwa ngesandla kokubuyisana kwezinkokhelo kuya ngokuya kuba nzima futhi kube namaphutha kalula. Lapha kulele amandla okuguqula isofthiwe yokubuyisana nezinkokhelo. Akumangazi, I-Fortune Business Insights imibiko ukuthi imakethe yesoftware yokubuyisana emhlabeni wonke kulindeleke ukuthi ikhule isuka ku-$1.28 billion ngo-2023 iye ku-$3.40 billion ngo-2030, ku-CAGR ka-14.9% ngesikhathi sokubikezela.

Iyini i-Payment Reconciliation Software? 

Amathuluzi esoftware yokubuyisana inkokhelo aklanyelwe ukuzenzela kanye nokwenza lula inqubo yokumatanisa kanye ukuvumelanisa ukuthengiselana kwezezimali ngaphakathi kwebhizinisi. Umsebenzi wayo oyinhloko ukuqhathanisa amarekhodi okwenziwayo ahlukahlukene, njenge obufana, izitatimende zasebhange, namarisidi okukhokha, ukuze kuqinisekiswe ukunemba nokuvumelana kwedatha yezezimali. Ngokusebenzisa ama-algorithms athuthukile nokuhlaziywa kwedatha, isofthiwe yokubuyisana inkokhelo ihlonza ukungezwani namaphutha, yenza kube lula ukubuyisana okunembayo. Nakuba izinyathelo ezithile ezihilelekile ekubuyiseni inkokhelo zingahluka kuwo wonke amabhizinisi, inqubo evamile imi kanje:

1. Data Collection: Wonke amadokhumenti ezezimali namarekhodi abalulekile ayaqoqwa, okuhlanganisa nezitatimende zasebhange, ama-invoyisi, amarisidi, namarekhodi esistimu yokubala, ukuze kuqinisekiswe ukunemba kokukhokha.
2. Ukufanisa Okwenziwayo: Amarekhodi ezitatimende zasebhange aqhathaniswa nokufakiwe ohlelweni lokubala, okuqinisekisa ukuvumelana ngezinsuku zokusebenza, amanani, nezincazelo.
3. Ukuhlonza Ukungafani: Ukungqubuzana noma ukungezwani kukhonjwa. Lokhu kungase kuvele ngenxa yokuhluka kwesikhathi, amaphutha, noma imisebenzi yokukhwabanisa.
4. Ukulungiswa Kokungafani: Ukwehluka kuyahlaziywa ukuze kutholwe izimbangela zako, okungenzeka okubandakanya ukuxhumana namabhange akhiphayo noma ukubuyekezwa kwamadokhumenti okuqala okwenziwayo. Lungisa noma lungisa amarekhodi ezimali ngokufanele.
5. Ukulungisa Ukurekhoda: Ukulungiswa kwesistimu yokubala kwenziwa ukuze kuhlanganiswe ama-akhawunti, njengokubalwa kwezimali zebhange, inzalo ezuziwe, noma ukulungisa amaphutha.
6. Ukuqinisekiswa Kwebhalansi: Ibhalansi elungisiwe kumarekhodi wokubala ifaniswa nebhalansi yokugcina eboniswe esitatimendeni sasebhange.
7. Amadokhumenti: Amadokhumenti aphelele enqubo yokubuyisana kufanele agcinwe, okuhlanganisa nemininingwane yokungahambisani nokulungiswa, ngezinjongo zomkhondo wocwaningomabhuku, ukuqinisekisa ukuziphendulela nokuba sobala.
8. Buyekeza kanye Nokuvunywa: Ngokuya ngosayizi nesakhiwo sebhizinisi, umphathi noma umphathi angabuyekeza futhi agunyaze inqubo yokubuyisana ukuze aqinisekise ukunemba nokuphelela kwayo.

Ukubuyisana kwenkokhelo kwenziwa ngezikhathi ezithile, njengenyanga noma ngekota. Isofthiwe yokubuyisana yokukhokha izenzela eziningi zalezi zinyathelo ngaleyo ndlela yonga isikhathi nemali.

Izinzuzo Zokusebenzisa Isoftware Yokubuyisana Ngenkokhelo:

Ukusebenzisa isoftware yokubuyisana kunikeza uhla lwezinzuzo zamabhizinisi:

1. Ukusebenza Ngokweqile: Ukuzenzakalela kwemisebenzi yokubuyisana ephindaphindayo konga isikhathi futhi kunciphisa umzamo owenziwa ngezandla, okuvumela abasebenzi ukuthi bagxile emisebenzini yamasu.
2. Ukunemba nokunemba: Isofthiwe isebenzisa ama-algorithms athuthukisiwe ukuze iqhathanise ngokuhlelekile futhi ifanise amarekhodi omsebenzi, inciphisa ubungozi bamaphutha noma ukungafani kwedatha yezezimali.
3. Izindleko zokulondolozwa: Ngokwenza lula izinqubo zokubuyisana nokunciphisa umsebenzi wezandla, amabhizinisi angakwazi ukuzuza ukonga izindleko ezihlobene namahora okusebenza kanye namaphutha angaba khona.
4. Ukuthobela Okuthuthukisiwe: Isofthiwe yokubuyisana kwezinkokhelo isiza ekuqinisekiseni ukulandelwa kwezindinganiso zokulawula nokuhambisana nezimali ngokugcina amarekhodi ezezimali anembile nasobala.
5. Ukubonakala Okuthuthukisiwe: Imininingwane yesikhathi sangempela kanye nezibalo ezinikezwe isofthiwe kunikeza ukubonakala okukhulu emisebenzini yezezimali, ukunika amandla ukwenza izinqumo ezinolwazi kanye nokuhlela kwamasu.
6. Ukwenza Izinqumo Ngokushesha: Ngokufinyelela ngesikhathi olwazini lwezezimali olunembile, amabhizinisi angenza izinqumo ezisheshayo mayelana nokuphathwa kokugeleza kwemali, isabelomali, nokubikezela.
7. Ukungafinyeleli: Isofthiwe yakhelwe ukubhekelela amanani okwenziwayo akhulayo kanye nokwandisa izidingo zebhizinisi, ukuhlinzeka ngokuqina ngaphandle kokubeka engcupheni ukusebenza.
8. Yehlisiwe Ingozi Yokukhwabanisa: Ngokuhlonza ngokushesha ukushayisana nokungahambi kahle emisebenzini yezezimali, isofthiwe yokubuyisana kwezinkokhelo isiza ukunciphisa ubungozi bokukhwabanisa nemisebenzi engagunyaziwe.
9. Ukwaneliseka Kwekhasimende: Ukubuyisana okunembile nokufike ngesikhathi kuqinisekisa ukuthi amakhasimende akhokhiswa ngendlela efanele futhi izinkokhelo zicutshungulwa kahle, okunikela ekwanelisekeni kwamakhasimende okuthuthukisiwe kanye nokwethembeka.
10. Imibono Yamasu: Ngokuhlaziya idatha yokubuyisana, amabhizinisi angathola imininingwane ebalulekile mayelana nezitayela zokukhokha, ukuziphatha kwamakhasimende, nokusebenza kahle, okubenza bakwazi ukuthuthukisa izinqubo futhi baqhubekise ukukhula kwebhizinisi.

Izici ezibalulekile okufanele uzibheke:

Nazi ezinye izici ezivamile ezitholakala kusofthiwe yokubuyisana nezinkokhelo:

1. Ukuhlanganiswa Kwedatha: Ukuxhumana okungenazihibe nemithombo yedatha eyahlukene njengamasistimu e-ERP, izinkundla zamabhange, namasango okukhokha.
2. Ukufanisa Ama-algorithms: Ama-algorithms athuthukisiwe okuqhathanisa nokuqhathanisa amarekhodi okwenziwayo ngokusekelwe kumibandela engenziwa ngendlela oyifisayo.
3. Imithetho Yokubuyisana: Imithetho nemingcele engenziwa ngendlela oyifisayo yokwenza inqubo yokubuyisana ngokuzenzakalela ngokuya ngezidingo ezithile zebhizinisi.
4. Ideshibhodi kanye nokubika: Amadeshibhodi ahlakaniphile namathuluzi okubika emininingwane yesikhathi sangempela mayelana nokwenziwe kwezezimali nesimo sokubuyisana.
5. Ukungafinyeleli: Amandla okuphatha amanani amakhulu okwenziwayo kanye nokwamukela ukukhula kwebhizinisi.
6. Ukuvumelana nezimo: Ukuzivumelanisa nezimo ezidingweni zebhizinisi eziguqukayo kanye nezinguquko ezinqubweni zokubuyisana.
7. Izici Zokuphepha: Izivumelwano zokubethela, izilawuli zokufinyelela, nezinyathelo zokuvikela idatha ukuze kuvikelwe ulwazi lwezezimali olubucayi.
8. Audit Imizila: Izindlela zokucwaninga ezibanzi zokulandelela izinguquko nokugcina inqubo yokubuyisana esobala.
9. Ukuphathwa Okuhlukile: Izindlela zokuhlonza nokuxazulula ukungezwani noma amaphutha ekubuyisaneni.
10. Ukuhlanganisa ne-Accounting Systems: Amandla okuhlanganisa nesofthiwe yokubala ukuze kuqinisekiswe ukugeleza kwedatha okungenazihibe phakathi kokubuyisana nezinqubo zokubala.

Isofthiwe Engcono Kakhulu Yokubuyisela Inkokhelo 

Ngokukhula kwesidingo sesoftware yokubuyisana, imakethe inikeza inqwaba yezinketho izinkampani ezingakhetha kuzo. Ukukhetha isixazululo esingcono kakhulu kuhilela ukucatshangelwa ngokucophelela kwezidingo nezidingo eziqondile zenkampani. Izinkampani kufanele zihlole izici nokusebenza okunikezwa isofthiwe ehlukene yokubuyisana, kucatshangelwa izici ezifana namakhono ezishintshayo, ukukala, ukuhlanganiswa namasistimu akhona, nezinyathelo zokuphepha. Ukwengeza, ukuhlola isithunzi somthengisi, ukubuyekezwa kwekhasimende, nezinsizakalo zosekelo zinganikeza imininingwane ebalulekile ngokuthembeka nokusebenza kwesofthiwe. Ithebula elilandelayo libonisa izici ezihamba phambili zamathuluzi ambalwa adumile Wokubuyisana Kwenkokhelo

Software	Izici Key
Ama-Nanonet	- Ukucubungula umbhalo okuzenzakalelayo - Ukukhishwa kwedatha  - Ukufanisa idatha  - Ukuhamba komsebenzi okuzenzakalelayo  – Inqolobane eyodwa
I-Oracle Netsuite	- I-Cloud-based suite yezixazululo zokuphathwa kwezimali  - Umbiko wezezimali wesikhathi sangempela - Izinqubo zokukhokhisa ezizenzakalelayo  - Amadeshibhodi enziwe ngendlela oyifisayo  – Izixazululo eziqondene nemboni
Izincwadi ze-Zoho	– Automatic feeds bank  - Ingosi yeklayenti esebenzisanayo  – Accounting kanye nentela  - Izinkokhelo eziku-inthanethi  - Izifanekiso zama-invoyisi  - Imibiko yokuhlaziya  - Ukubuyisana  - Imithetho eyenziwe ngokwezifiso yokumatanisa
I-SolveXia	- Ukubuyisana okuzenzakalelayo  - Ukubala i-reinsurance kanye nezinkokhelo zekhomishini  - Izibalo zedatha  - Ukuphepha  – Scalability
Xero	- Kususelwa emafini  – Scalable  - Kuyasebenziseka  – Kuvikelekile
Ama-Quickbooks	- Ukuqhathanisa okuzenzakalelayo kwezinkokhelo nama-invoyisi  – Ithuluzi lokubuyisana kwebhange  - I-interface yomsebenzisi-friendly  - Isethi yesici esiphelele
Sage	- Isixazululo esihlanganisiwe sokubuyisana  - Amathuluzi okuhambisana
Ukugeleza	- Isici sokubuyisana  - Ukukhokha okuzenzakalelayo nokuphatha  - Izibuyekezo zesikhathi sangempela nezexwayiso
I-Floqast	- Isici sokubuyisana  – Ukuphathwa eduze Accounting  - Izinqubo ezifundekayo  - Ukuthuthukiswa kokuvala kwezezimali
SAP	- Isixazululo sokubuyisana njengengxenye yesoftware yebhizinisi  - Ukulinganisa i-akhawunti  - Ukuqhathanisa izinkokhelo nama-invoyisi  - Ukuhlanganiswa namathuluzi abanzi wokuphatha ibhizinisi

Isoftware yokubuyisana engcono kakhulu - iNanonets

 

I-AI inikwe amandla Ama-Nanonet ingakusiza ukuthi wenze okuzenzakalelayo ukubuyisana kwenkokhelo. Ingenza ngokuzenzakalelayo ukubuyiswa kwemisebenzi yezezimali emithonjeni ehlukahlukene ngesikhathi sangempela, isuse isidingo sokufaka idatha mathupha futhi inciphise ubungozi bephutha lomuntu. Isebenzisa ubuchwepheshe be-OCR nokufunda komshini, isofthiwe yethu ikhipha idatha yokwenziwa kokukhokha futhi iqinisekise ngokumelene nayo ileja okufakiwe, okugqamisa noma yikuphi ukushayisana ukuze kuqhutshekwe nophenyo nokulungisa. Lokhu kuzenzakalela akugcini nje ngokusindisa isikhathi nomzamo omkhulu wamabhizinisi kodwa futhi kuqinisekisa ukunakwa ngokushesha kunoma yikuphi ukungezwani okuphawulwe ngesikhathi senqubo.

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Hlola I-Nanonets Reconciliation lapho ungakwazi ukuhlanganisa kalula i-Nanonets namathuluzi akho akhona ukuze uqondanise khona manjalo nezincwadi zakho futhi ubone ukungqubuzana.

Indlela yokwenza ngokwezifiso ye-Nanonets ivumela ukuhlelwa kwesofthiwe ukuze ifane nokugeleza komsebenzi okuyingqayizivele, amafomethi wedatha, nezidingo zokubika zebhizinisi ngalinye. Ithimba lethu lochwepheshe lisebenzisana eduze namakhasimende ukuze baqonde izinqubo zabo zokubuyisana futhi bathuthukise izixazululo ezenziwe ngokwezifiso ezilula ukusebenza futhi zithuthukise ukunemba.

I-Nanonets isiza ukubuyisana kwezinkokhelo zabahlinzeki, iqinisekisa ukuthi izinkokhelo ezenziwa kubahlinzeki zihambisana nemininingwane ye-invoyisi. Iphinde inikeze amandla ukubuyisana kokubili phakathi no izinkokhelo zangaphakathi kwenkampani, ethuthukisa futhi ubuqotho bezezimali kanye nokungafihli lutho.

Ngokusebenzisana okungenazihibe namakhulu amathuluzi, kuhlanganisa ne-Gmail, Ama-Quickbooks, Xero, kanye ne-Stripe, i-Nanonets yenza lula ukusebenza futhi ikhuphule ukusebenza kahle ngaphandle komzamo.

Ngokusebenzisa isofthiwe ye-Nanonets yokubuyisana nezinkokhelo, amabhizinisi angakwazi ukunciphisa kakhulu okwenziwayo okuwumgunyathi kufika ku-60%, athuthukise ubuqotho bezezimali cishe ngo-80%, futhi afinyelele ukuthobela okungu-90% nezindinganiso zokulawula. Lokhu akuqinisekisi kuphela ukusebenza kwezimali okuphephile kodwa futhi kunciphisa izinkinga ezingokomthetho ezingaba khona nezinhlawulo.

Thatha

Ngokukhula kwedijithali kuyo yonke imikhakha, ukufunwa kwesoftware yokubuyisana kuyakhuphuka, ikakhulukazi emkhakheni wokuthengisa. Ukukhula okusheshayo kwe I-E-commerce, eqhutshwa ukufudukela emadolobheni kanye nezinqubomgomo ezivumayo, kubangele ukuthi amabhizinisi amakhulu nama-SME aphendukele isoftware yokubuyisana. Lokhu kwamukelwa kunikeza izixazululo ezithembisayo, ukuhlinzeka ngemininingwane esheshayo nokuthuthukisa ubukhona bemakethe. Ama-Nanonets kanye namafemu afanayo aphayona lolu shintsho, ahlanganisa i-AI nokufunda ngomshini kumamodeli wabo wesofthiwe. Ekuzulazuleni ezinkingeni zezezimali, amathuluzi okubuyisana afana nama-Nanonets abalulekile ukunciphisa ubungozi, ukuthuthukisa ukukhula kwemakethe kanye nokukhuthaza ukusebenza kwezimali okusimeme kulo lonke ibhizinisi.

 

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• Source: https://nanonets.com/blog/payment-reconciliation-software/