Dɔwɔƒe AI na nɔnɔmetata siwo wòate ŋu kpɔ
Míetrɔ asi le data ƒe ɖoɖowo siwo le vovo vovo me ɖe sistɛm siwo nɔ anya la dzi. Kaufman AIS tsɔa nɔnɔme siwo le vovotɔ nya la trɔ ɖe nɔnɔme kple nɔnɔme si wòate ŋu kpɔ la dzi. Míele RAG, dɔwɔƒe nudzɔdzikpɔƒe kple AI dodolawo ŋu eye míeɖe mɔ na dɔwɔƒewo be woakpɔ wo nudzɔdzikpɔ katã le sekondi me. Míedo AI alo ɖoɖo si wòate ŋu ŋlɔ me o, gake le wò dɔwɔƒe ƒe ɖoɖo si le dzi. Ne esia ta la, míeɖeɖe nɔnɔme, wɔwɔ kple dɔwɔwɔ ɖe ɖoɖo ɖeka me si le dedie, si wòate ŋu agbalẽe eye si le Europe dzi. Míegblẽna Europe dzi dɔwɔƒewo ŋu eye míewɔ sistɛm siwo ɖe eme le ɖoɖo la, siwo kpe ɖeɖeɖe eye míeɖe mɔ na wò nya nyuie wu.
Zazã ƒe nɔnɔme
Dodolawo siawo le dɔwɔƒe nudzɔdzikpɔ si le vovotɔ me la dzi le sekondi me eye wòawɔ nɔnɔme kple nɔnɔme si wòate ŋu nya la ɖe ɖoɖo si wòate ŋu nya la me. Wòakpe ɖe mɔ̃ɖeɖeɖe, ɖoɖo ƒe ƒomefiawo kple dɔwɔla ƒe ƒuƒuƒuwo ŋu le wɔnɔ, nɔnɔme kple dɔwɔwɔ me.
Mɔ̃ɖeɖeɖe ƒe dodola
Ekpɔ dɔwɔƒe nudzɔdzikpɔ katã eye enɔ mɔ̃ɖeɖeɖe ƒe ƒuƒuƒu ƒe kpekpeɖedᴐ digitatɔ. Edola nya tso dɔwɔƒeɖokuiwo, nuŋlɔɖiɖiwo kple sistɛmewo, enɔ nɔnɔme kple nɔna ŋuɖoɖo le wɔnɔ ƒe ɖoɖo me. Edi vɔ̃ɖeɖe kple se ɖe eme kple nɔna ŋuɖoɖo siwo wòate ŋu wɔ eye eɖeɖe le Microsoft Teams, Google Meet kple Slack me. Esi nye be wɔnɔ agbalẽe eye wòadzra ɣeyiɣi geɖe.
Dɔwɔnamɔ ƒe nɔnɔmetata
Enɔ dɔwɔnamɔ ƒe nɔnɔme tso data ƒe ɖoɖowo katã dzi eye eɖe eme be wòakpɔ dɔwɔnamɔ ƒe nɔnɔme nyuie. Edola data tso SAP, Meta, Google kple Shopware, edo tɔtrɔ, asidzedze kple dɔ le eme eye eɖa ROAS nyuie la ɖe eme. Edi vɔ̃ɖeɖe, nɔna se kple ŋuɖoɖo na dɔwɔnamɔ ƒe ɖoɖo. Esi nye be dɔwɔnamɔ ƒe gaɖuɖuɖu nɔ anya eye nɔnɔme nɔ anya ɣeyiɣi geɖe.
E-Commerce nɔnɔme dodola
Enɔ nɔnɔme ɖe nɔnɔme si nɔna na nudɔwɔnu ɖesia, ɖoɖo kple dɔwɔ ƒe ɖoɖo tso data ƒe ɖoɖowo katã dzi. Edola dɔwɔnuwo, dɔwɔnamɔ ƒe ɖoɖo, ERP data kple tɔtrɔ ƒe nɔnɔme eye enɔ nɔnɔme le ɖoɖo si wòate ŋu nya la me. ƒuƒuƒuwo nɔa ŋuɖoɖo le nɔnɔme, gaɖuɖuɖu kple nɔnɔme si le ɖeɖe me la ŋu kple ɣeyiɣi ɖesia. Nudɔwɔnu ƒe wɔnɔ agbalẽe eye wòate ŋu da alɔe.
Kasadzraɖoƒe nɔnɔme dodola
Enɔ kpekɔ le kasadzraɖoƒe ƒe nɔnɔme, nyatakakawo kple dɔwɔƒe nɔnɔme la dzi le nudzɔdzikpɔ ƒe ɖoɖo me. Edola ERP sistɛmewo, kasadzraɖoƒe ƒe nyatakakawo kple ɖoɖo ƒe nuŋlɔɖiɖiwo eye enɔ nɔnɔme le ɖoɖo me. Mɔ̃ɖeɖeɖe nɔa ŋuɖoɖo le nɔnɔme, gaɖuɖuɖu kple vɔ̃ɖeɖe ŋu kple nɔnɔme si wòate ŋu da alɔe na ɖoɖo kple nɔnɔme la. Kasadzraɖoƒe ƒe wɔnɔ agbalẽe eye wòate ŋu nya nyuie.
Asidzedze nɔnɔme dodola
Enɔ nɔnɔme ɖe asidzedze ƒe ɖoɖo, nɔnɔme kple dɔɖoɖoɖo ƒe data la dzi le nudzɔdzikpɔ ƒe ɖoɖo me. Edi asidzedze ƒe vɔ̃ɖeɖe, se kple vɔ̃ɖeɖe eye enɔ wo le ɖoɖo si wòate ŋu nya la me. ƒuƒuƒuwo nɔa ŋuɖoɖo le asidzedze ƒe ɖoɖo kple asidzedze ƒe nɔnɔme ŋu kple ɣeyiɣi ɖesia. Dɔwɔnu ƒe nɔnɔme nɔ anya ɣeyiɣi geɖe.
Asitsɔƒe ƒe nɔnɔme dodola
Enɔ nɔnɔme ɖe asitsɔ ƒe ɖoɖo katã le nudzɔdzikpɔ ƒe ɖoɖo me. Edola dɔwɔnu ƒe nɔnɔme, dɔwɔnamɔ ƒe kpekpeɖeŋu kple CRM data eye enɔ nɔnɔme le ɖoɖo me. ƒuƒuƒuwo nɔa ŋuɖoɖo le nu siwo na wɔ dzidzedzi la kple nu siwo le funnel me la ŋu. Dɔwɔnamɔ nɔ anya eye wòate ŋu dɔ wɔ.
Dɔwɔnamɔ ƒe kpɔkpɔkpɔ dodola
Ekpɔ dɔwɔnamɔ ƒe nɔnɔme ɖeɖe eye edi vɔ̃ɖeɖe kple se le ɣeyiɣi me. Eɖa nɔnɔme la ɖe eme, edi nɔnɔme kple nɔna nɔnɔme ɖe eme le gaɖuɖuɖu kple nɔnɔme ŋu. Eɖe dɔɖɔɖɔ, nɔnɔme kple ŋuɖoɖo na dɔwɔnamɔ siwo le dɔwɔwɔ me. ƒuƒuƒuwo ɖeɖe vɔ na, ɖo gaɖuɖuɖu eye dɔwɔnamɔ nɔ anya.
Conversion ƒe ɖoɖo dodola
Enɔ nɔnɔme ɖe zazãla ƒe nɔnɔme le asitsɔ ƒe ɖoɖo katã dzi eye edi ɖoɖo si ate ŋu wɔ le dɔwɔnu me. Edola tracking data, dɔwɔnamɔ ƒe nya kple nudɔwɔnu ƒe nɔnɔme eye enɔ ŋuɖoɖo na landing page, funnel kple asidzedze ƒe ɖoɖo. Conversion ƒe nɔnɔme nɔ anya.
Channel vovotɔ ƒe nɔnɔme dodola
Enɔ nɔnɔme si wòate ŋu nya la ɖe ale dɔwɔnamɔ ƒe channel ɖesia nɔ dzidzedzi kple nɔnɔme la ŋu. Edola tracking data, dɔwɔnamɔ ƒe nya kple dɔwɔ ƒe nɔnɔme le nudzɔdzikpɔ ƒe ɖoɖo me. ƒuƒuƒuwo nɔa nɔnɔme le channel vovotɔ ƒe nɔnɔme la ŋu kple ɣeyiɣi ɖesia. Dɔwɔnamɔ ƒe gaɖuɖuɖu wòate ŋu ɖe eme nyuie.
Nudɔwɔnu ƒe nɔnɔme dodola
Enɔ nɔnɔme ɖe nudɔwɔnu ƒe ɖoɖo, nudɔwɔnu ƒe nɔnɔme kple dziɖuɖu ƒe nɔnɔme la dzi. Edi se ɖe eme, nudɔwɔnu ƒe vɔ̃ɖeɖe kple ɖoɖo ƒe vɔ̃ɖeɖe eye enɔ ŋuɖoɖo na nudɔwɔnu ƒe ɖoɖo. ƒuƒuƒuwo nɔa ŋuɖoɖo le nudɔwɔnu ƒe ɖoɖo ŋu. Dzidzedzi kple stock ƒe nɔnɔme nɔ anya.
Dɔwɔnamɔ ƒe nɔnɔme dodola
Enɔ nɔnɔme ɖe dɔwɔnamɔ kple asidzedze ƒe nɔnɔme le dzidzedzi kple nɔnɔme ŋu. Eɖa asidzedze ƒe vɔ̃ɖeɖe, dziɖuɖu kple tɔtrɔ ƒe nɔnɔme la ɖe eme eye enɔ nɔnɔme le ɖoɖo me. ƒuƒuƒuwo nɔa ŋuɖoɖo le dɔwɔnamɔ siwo nɔ dzidzedzi la ŋu. Dɔwɔnamɔ ƒe ɖoɖo nɔ anya eye wòate ŋu da alɔe.
Dziɖuɖu ƒe nɔnɔme dodola
Enɔ nɔnɔme ɖe dziɖuɖu ƒe nɔnɔme tso dzidzedzi siwo va yi la, ɣleti ƒe nɔnɔme kple dɔwɔnamɔ ƒe dɔwɔwɔ la dzi. Edi nɔnɔme ɖe eme kple nɔna nɔnɔme le ɖoɖo me. ƒuƒuƒuwo nɔa ŋuɖoɖo le dzidzedzi siwo le ɖeɖe me la ŋu. ɖoɖo kple stock ƒe dɔwɔwɔ nɔ anya.
Ɖoɖo ƒe nɔnɔme dodola
Edi dɔwɔƒe ƒe ɖoɖowo eye enɔ nu si le eme la kple ɣeyiɣi ɖesia. Eɖa ɖoɖo ƒe nɔnɔme ɖe eme, edi vɔ̃ɖeɖe kple vɔ̃ɖeɖe eye enɔ nya veviwo le ɖoɖo me. Ekpe ɖe ɣeyiɖi, fɔɖuɖu kple ɖoɖo ŋu eye enɔ ŋuɖoɖo na wɔnɔ. Vɔ̃ɖeɖe ɖe eme eye ɖoɖo ƒe dɔwɔwɔ nɔ anya.
Kpekpeɖedᴐ ƒe nɔnɔme dodola
Enɔ kpekɔ le teknikal nudzɔdzikpɔ la dzi eye ekpe ɖe ɖoɖo ŋu kple ɣeyiɣi ɖesia. Eɖa biɖeɖewo ɖe eme, edi vɔ̃ɖeɖe ƒe tɔtrɔ eye enɔ ŋuɖoɖo kple nuŋlɔɖiɖi siwo le ɖoɖo me. Edola data tso SAP, CRM, PIM kple DMS eye enɔ nɔnɔme le ɖoɖo me kple ɣeyiɣi ɖesia. Kpekpeɖedᴐ ƒe dɔwɔwɔ nɔ anya eye ŋuɖoɖo nɔ anya.
Nuŋlɔɖiɖi ƒe automatisation dodola
Eɖa nuŋlɔɖiɖi siwo va la ɖe eme eye edi nya si le eme la, nɔnɔme kple wɔnɔ. Eɖa ɖoɖo, nuŋlɔɖiɖi teknikal kple nyatakakawo eye enɔ ŋutɔ si le eme la le ɖoɖo me. Dɔwɔlawo dzra ɣeyiɣi eye wòakpɔ nya si le wɔnɔ me la kple ɣeyiɣi ɖesia.
Email ƒe filtɔ automatisation
Eɖa email siwo va la ɖe eme, edi nya, nɔnɔme kple ɖoɖo eye eɖe wo ɖe ɖoɖo alo dɔwɔwɔ me. Edo biɖeɖe ɖe ƒuƒuƒu siwo le ɖoɖo me, edo nya veviwo ɖe eme eye eɖe dɔwɔ ɖe eme. Dɔwɔlawo nɔa nɔnɔme eye wòadzra vɔ na nya veviwo.
Email ƒe triage dodola
Eɖe nɔnɔme ɖe email siwo va la ɖe eme le nya, ɖoɖo kple dɔwɔƒe nudzɔdzikpɔ dzi. Edi nu si wòawɔ, edzi dɔwɔwɔ eye eɖo ŋuɖoɖo na biɖeɖe siwo le dedie la. ƒuƒuƒuwo nɔ dzraɖoɖo eye kpekpeɖeŋu nɔ anya.
Dɔwɔƒe me helpdesk dodola
Eɖo ŋuɖoɖo na biɖeɖe le dɔwɔwɔ, ɖoɖo, IT sistɛmewo kple HR ŋu ɖe asi. Edo dɔwɔƒe nudzɔdzikpɔ eye eɖo ŋuɖoɖo si wòate ŋu nya la kple ɣeyiɣi ɖesia. Dɔwɔlawo nɔ kpekpeɖedᴐ eye kpekpeɖedᴐ ƒe ƒuƒuƒuwo ɖe eme biɖeɖe siwo va ɖewohĩ.
Nyatakaka automatisation dodola
Ewɔ nyatakakawo ɖe data ƒe ɖoɖowo siwo le vovotɔ me la dzi eye enɔ nɔnɔme le ɖoɖo si wòate ŋu nya la me. Edi nɔnɔme siwo le ɖeɖe me eye eɖe mɔ̃ɖeɖeɖe ƒe nya le ɖoɖo me. Mɔ̃ɖeɖeɖe nɔa ŋuɖoɖo na wɔnɔ kple ɣeyiɣi ɖesia.
Dɔwɔla yeye ƒe dodola
Ekpe ɖe dɔwɔlawo yeye ŋu le dɔwɔwɔ, sistɛmewo kple dɔwɔƒe nudzɔdzikpɔ me. Eɖo ŋuɖoɖo na biɖeɖe le ɖoɖo me eye enɔ nya si le ɖoɖo me ɖe asi. Onboarding ƒe ɣeyiɣi ɖe eme eye dɔwɔƒe nudzɔdzikpɔ nɔna nɔ na ɣeyiɣi geɖe.
Dɔwɔwɔ ƒe automatisation dodola
Eɖe dɔwɔwɔ siwo va ɖewohĩ ɖe sistɛmewo, ƒuƒuƒuwo kple nuŋlɔɖiɖiwo dome ɖe asi. Edi dɔwɔwɔ, edzi dɔwɔwɔ eye edo nya ɖe mɔ̃ɖeɖeɖe ŋu le ɖoɖo me. Dɔwɔwɔ nɔ anya, nɔna nɔnɔme eye vɔ̃ɖeɖe ɖe eme.
Email ƒe nɔnɔme kple ɖoɖo dodola
Eɖa email siwo va la ɖe eme, edi nya, nɔnɔme kple ɖoɖo eye eɖe dɔwɔwɔ ɖe ƒuƒuƒu siwo le ɖoɖo me. Edo dɔwɔ ɖe eme eye eɖe dɔwɔwɔ ƒe ɖoɖo ɖe eme kple ɣeyiɣi ɖesia.
Ɖoɖo ƒe automatisation dodola
Ewɔ ɖoɖo ƒe nuŋlɔɖiɖi ɖe asi tso dɔwɔ ƒe data, nɔnɔme kple asitsɔ ƒe biɖeɖe la dzi. Edola dɔwɔƒe nudzɔdzikpɔ kple asitsɔ ƒe nya eye eɖe ɖoɖo ƒe dɔwɔwɔ ɖe eme.
Lead ƒe nɔnɔme automatisation dodola
Eɖa lead siwo va la ɖe eme eye eɖe wo ɖe nɔnɔme, dɔwɔ ƒe biɖeɖe kple dzidzedzi ƒe nɔnɔme dzi. Eɖe nɔnɔme ɖe eme, edi se eye eɖe lead siwo le ɖoɖo me ɖe dɔwɔ ƒe ƒuƒuƒu me. ƒuƒuƒuwo nɔ dzidzedzi siwo nɔ anya eye conversion nɔ anya.
PDF ƒe ɖeɖe automatisation dodola
Eɖe PDF nuŋlɔɖiɖiwo ɖe data le ɖoɖo me eye dodolawo kple nudzɔdzikpɔ graf siwo ate ŋu zazãe la nɔa dɔ wɔm. Ɖoɖo, nuŋlɔɖiɖi teknikal kple nyatakakawo nɔna nɔ na wòadi eye wòate ŋu nɔ nɔnɔme le ɖoɖo me. Dɔwɔƒe nudzɔdzikpɔ nɔna nɔ kple ɣeyiɣi ɖesia.
Nɔnɔme ƒe tag automatisation dodola
Edi nu si le nɔnɔme me la, ɖoɖo kple nɔnɔme eye eɖe metadata le ɖoɖo me ɖe asi. Media nɔna nɔ na wòadi eye wòate ŋu ɖeɖe ɖe dɔwɔƒe nudzɔdzikpɔƒe me. ƒuƒuƒuwo kpɔ nu siwo le ɖoɖo me la kple ɣeyiɣi ɖesia.
Video ƒe nɔnɔme dodola
Eɖa video ɖe eme, edi nya, nya kple ɖoɖo siwo le ɖoɖo me eye wòate ŋu di la nɔna dɔ wɔm. Kpɔɖeŋu, nɔnɔme kple dɔwɔƒeɖokuiwo nɔ dzidzedzi nudzɔdzikpɔ ƒe ɖoɖo. Nya nɔna nɔ le ale si wòhiãe la.
Kpekpeɖedᴐ ƒe automatisation dodola
Eɖo ŋuɖoɖo na biɖeɖe siwo va ɖewohĩ eye eɖe kpekpeɖedᴐ ƒe ƒuƒuƒuwo ɖe eme. Edo biɖeɖe le ɣeɖeɖe si wòate ŋu nya la me, eɖo ŋuɖoɖo kple edo dɔwɔƒe nudzɔdzikpɔ. Eɖeɖe le helpdesk kple kpekpeɖeŋu ƒe ɖoɖo me eye kpekpeɖedᴐ nɔ anya. Ŋuɖoɖo ƒe ɣeyiɣi ɖe eme eye kpekpeɖedᴐ ƒe dɔwɔwɔ nɔ anya.
Dɔɖoɖoɖo ƒe radar dodola
Ekpɔ dɔɖoɖoɖo siwo le ɖoɖo me la ƒe ɖoɖo ɖe asi eye edi nudɔwɔnu yeyewo, ɖoɖo ƒe vɔ̃ɖeɖe kple ɖeɖeɖe ɖe eme. Edo nya siawo le nudzɔdzikpɔ graf me eye ewɔ wo nɔ na mɔ̃ɖeɖeɖe ŋu le ɖoɖo me. Dɔwɔƒewo ɖe vɔ na ɖeɖeko kple wòakpɔ se ɖe eme kple ɣeyiɣi ɖesia.
Dɔwɔ ƒe ɖoɖo dodola
Eɖa asitsɔ ƒe ɖoɖo ɖe eme eye eɖe nya veviwo ɖe dɔwɔƒe, nudɔwɔnu, teknikal kple ɖoɖo ŋu. Dɔwɔ ƒe ƒuƒuƒuwo nɔ dɔ le nɔnɔme kple wòakpɔ ale si wòate ŋu dɔ gɔ la kple ɣeyiɣi ɖesia. Conversion nɔ anya eye nɔnɔme ƒe dɔwɔwɔ ɖe eme.
ɖoɖo ƒe kpɔkpɔkpɔ dodola
Ekpɔ ɖoɖo, ɖoɖo ƒe ƒuƒuƒuwo kple dɔwɔƒewo ƒe ɖoɖo ɖe asi eye edi ɖoɖo yeyewo, gaɖuɖuɖu ƒe ɖoɖo kple ɖoɖo ƒe nɔnɔme ɖe eme. Vɔ̃ɖeɖe siwo le ɖeɖe me la ɖe eme le dodola me eye wòate ŋu nɔ nɔnɔme ɖe eme. Dɔwɔƒewo ɖe vɔ̃ɖeɖe ɖe eme eye wòanɔ nɔnɔme ɣeyiɣi katã.
ɖeɖeko ƒe nɔnɔme dodola
Ewɔ ɖoɖo ɖe ɖeɖeko ƒe dɔwɔlawo, teknikal kple nɔnɔme siwo le ɖeɖe me la ŋu ɖe asi. Nudzɔdzikpɔ graf nɔna nɔnɔme siwo wòate ŋu nya alo eye ekpe ɖe mɔ̃ɖeɖeɖe ƒe wɔnɔ ŋu. Dɔwɔƒewo nɔ ɖeɖeko nyuie kple ɣeyiɣi ɖesia.
ɖeɖeko ƒe ɖoɖo dodola
Eɖe dɔwɔƒe data kple ɖeɖeko ƒe nɔnɔme ɖe nudzɔdzikpɔ ƒe ɖoɖo ɖeka me. Mɔ̃ɖeɖeɖe kpɔ se yeyewo, vɔ̃ɖeɖe kple teknikal ƒe nɔnɔme ɖe eme kple wɔnɔ le nɔnɔme siwo le ɖeɖe me la dzi. ɖoɖo ƒe dɔwɔwɔ nɔ data eye nɔ anya.
Dɔwɔwɔ kple dɔwɔwɔ ƒe nɔnɔme dodola
Enɔ nɔnɔme le dɔwɔwɔ, nɔnɔme kple dɔwɔwɔ ƒe ɖoɖo katã dzi le nudzɔdzikpɔ ƒe ɖoɖo me. Edola dɔwɔwɔ ƒe nuŋlɔɖiɖiwo, KPI data kple dɔwɔwɔ sistɛmewo eye edi vɔ̃ɖeɖe kple ɖoɖo si ate ŋu wɔ la ɖe eme. ƒuƒuƒuwo nɔa ŋuɖoɖo le throughput, nɔnɔme kple dɔwɔwɔ ƒe nɔnɔme ŋu. Wɔnɔ nɔ data eye dɔwɔwɔ ƒe dɔwɔwɔ nɔ anya.
Nudɔwɔnu ƒe nudzɔdzikpɔ dodola
Eɖe nudɔwɔnu ƒe nuŋlɔɖiɖiwo, teknikal ɖoɖowo kple injineri ƒe nudzɔdzikpɔ ɖe nudzɔdzikpɔ ƒe ɖoɖo me. Edo kpekɔ le variant, nɔnɔme kple teknikal nya la dzi na dɔwɔwɔ, dɔwɔ kple kpekpeɖedᴐ. Nya nɔna nɔ le ɖoɖo me kple ɣeyiɣi ɖesia eye ɖoɖo ƒe dɔwɔwɔ nɔ anya.
Nudɔwɔnu ƒe data nɔnɔme dodola
Eɖe nudɔwɔnu ƒe nya tso PIM sistɛmewo, nuŋlɔɖiɖi teknikal kple dɔwɔnamɔ ƒe nya la ɖe nudzɔdzikpɔ ƒe ɖoɖo me. Edi vɔ̃ɖeɖe, nya si le mɔ la kple ɖoɖo si ate ŋu wɔ la ɖe eme. ƒuƒuƒuwo nɔa ŋuɖoɖo le nudɔwɔnu ƒe nya, variant kple nɔnɔme ŋu. Data ƒe nyuie nɔ anya eye ɣeyiɣi ɖe eme.
Nudɔwɔnu ƒe nɔnɔme graf dodola
Enɔ nɔnɔme ɖe nudɔwɔnu, variant kple nɔnɔme siwo le ɖeɖe me la ŋu le nudzɔdzikpɔ ƒe ɖoɖo me. Edi nɔnɔme, cross-selling se kple nudɔwɔnu ƒe vɔ̃ɖeɖe ɖe eme. ƒuƒuƒuwo nɔa ŋuɖoɖo le nudɔwɔnu ƒe nɔnɔme ŋu eye wòakpɔ dzidzedzi si le ɖeɖe me la.
Injineri ƒe nudzɔdzikpɔ dodola
Eɖe injineri ƒe nudzɔdzikpɔ, teknikal ɖoɖowo kple dɔwɔ ƒe nuŋlɔɖiɖiwo ɖe nudzɔdzikpɔ ƒe ɖoɖo me. Edo kpekɔ le teknikal nɔnɔme, variant kple wɔnɔ siwo va yi la dzi. Injiniɛrwo nɔa ŋuɖoɖo le ɖoɖo kple sistɛm ƒe nɔnɔme ŋu. Dɔwɔwɔ nɔ anya eye vɔ̃ɖeɖe ɖe eme.
Dɔwɔ ƒe nɔnɔme dodola
Enɔ nɔnɔme ɖe dɔwɔ ƒe nudzɔdzikpɔ, wɔnɔ kple nɔnɔme le dɔwɔ ƒe ɣeyiɣi katã dzi. Edola dɔwɔƒeɖokui ƒe nya, ɖoɖo ƒe nuŋlɔɖiɖiwo kple nyatakakawo ɖe nudzɔdzikpɔ ƒe ɖoɖo me. ƒuƒuƒuwo nɔa ŋuɖoɖo le nɔnɔme, vɔ̃ɖeɖe kple ɖoɖo ŋu. Dɔwɔwɔ nɔ anya eye vɔ̃ɖeɖe ɖe eme kple ɣeyiɣi ɖesia.
ɖoɖo ƒe nudzɔdzikpɔƒe
Enɔ kpekɔ dedie na ɖoɖo ƒe biɖeɖe, dɔwɔƒe me ɖoɖowo kple audit ƒe nuŋlɔɖiɖiwo le nudzɔdzikpɔ ƒe ɖoɖo me. Eɖa biɖeɖe siwo le ɖoɖo me la ɖe eme eye edi nɔnɔme le dɔwɔwɔ kple ɖoɖo ƒe ɖoɖo dome. Dɔwɔlawo nɔa ŋuɖoɖo na ɖoɖo ƒe biɖeɖe kple ɣeyiɣi ɖesia. Vɔ̃ɖeɖe ɖe eme eye ɖoɖo ƒe dɔwɔwɔ nɔ anya.
Vɔ̃ɖeɖe ƒe nɔnɔme dodola
Eɖa dɔwɔƒe vɔ̃ɖeɖe ɖe ɖoɖowo, nɔnɔme kple dɔwɔwɔ ƒe nɔnɔme la dzi le nudzɔdzikpɔ ƒe ɖoɖo me. Edi vɔ̃ɖeɖe siwo le ɖoɖo me la ɖe eme eye enɔ nɔnɔme le ɖoɖo me. Mɔ̃ɖeɖeɖe nɔa nɔnɔme ɖe vɔ̃ɖeɖe ŋu kple wɔnɔ agbalẽe le dɔwɔƒe katã me.
Xɔasinyawo ƒe nudzɔdzikpɔ dodola
Enɔ kpekɔ le xɔasinyawo ƒe nudzɔdzikpɔ, ɖoɖo ƒe nɔnɔme kple xɔasinyawo ƒe dɔwɔwɔ la dzi. Edola ERP data, xɔasinyawo ƒe ɖoɖoɖo kple nɔnɔme la ɖe eme eye enɔ nɔnɔme le ɖoɖo me. Xɔasinyawo ƒe ƒuƒuƒuwo nɔa ŋuɖoɖo le asidzedze, nɔnɔme kple vɔ̃ɖeɖe ŋu. Xɔasinyawo ƒe wɔnɔ nɔ anya eye wòate ŋu da alɔe.
Xɔasinyala ƒe nɔnɔme dodola
Eɖe xɔasinyala ƒe nya, ɖoɖo ƒe nɔnɔme kple nɔnɔme ɖe nudzɔdzikpɔ ƒe ɖoɖo me. Edi vɔ̃ɖeɖe, nɔnɔme kple ɖoɖo si ate ŋu wɔ la ɖe eme. ƒuƒuƒuwo nɔa ŋuɖoɖo le xɔasinyala ƒe nɔnɔme ŋu eye wɔnɔ agbalẽe le xɔasinyawo ƒe dɔwɔwɔ me.
HR kple dɔwɔla xɔasinye dodola
Enɔ kpekɔ le dɔwɔla ƒe nudzɔdzikpɔ, dɔwɔla ƒe nya kple HR ƒe dɔwɔwɔ la dzi. Eɖa CV, se ƒe database kple ɖoɖowo ɖe eme eye edi nɔnɔme le se, dɔ siwo le mɔ la kple ƒuƒuƒu ƒe biɖeɖe dome. HR kple dɔwɔla xɔasinye ƒe ƒuƒuƒuwo nɔa ŋuɖoɖo kple wɔnɔ agbalẽe.
Kpɔɖeŋu ƒe nudzɔdzikpɔ dodola
Enɔ kpekɔ le kpɔɖeŋu ƒe nya, dɔwɔƒe me ɖoɖowo kple kpɔɖeŋu ƒe nuŋlɔɖiɖiwo la dzi. Enɔ nya le ɖoɖo si le dɔ la me eye eɖo ŋuɖoɖo na dɔwɔwɔ ƒe biɖeɖe le ɣeyiɣi me. Dɔwɔlawo yeyewo nɔ dɔ wɔm kple ɣeyiɣi ɖesia eye ƒuƒuƒuwo kpɔ dɔwɔƒe nudzɔdzikpɔ nyuie.
Dɔɖoɖoƒe ƒe nudzɔdzikpɔ dodola
Enɔ ɖoɖo ɖe dɔɖoɖoƒe ƒe nudzɔdzikpɔ, dɔwɔ siwo le ɖeɖe me kple ɖoɖo ƒe tɔtrɔ la dzi. Edola nya tso dɔwɔwɔ, ɖoɖo kple ɖoɖo ƒe dɔwɔwɔ la ɖe eme eye enɔ wo kple ɣeyiɣi ɖesia. ƒuƒuƒuwo nɔa ŋuɖoɖo le ɖoɖo, ɖoɖo kple nɔnɔme ŋu. Dɔwɔwɔ le ɖeɖe me nɔ anya eye ɖoɖo ƒe dɔwɔwɔ ɖe eme.
ɖeɖeko ƒe nɔnɔme dodola
Eɖa dɔɖoɖoɖo ƒe ɖoɖo, nudɔwɔnu, asidzedze kple ɖoɖo ƒe nɔnɔme ɖe eme ɖe asi. Market Intelligence dodola nɔna ɖoɖo ɖe ɖeɖeko ƒe nɔnɔme siwo le ɖoɖo me la eye wòate ŋu di la. Mɔ̃ɖeɖeɖe kple nudɔwɔnu ƒe ƒuƒuƒuwo nɔa ŋuɖoɖo na wɔnɔ eye wòate ŋu da alɔe eye wòate ŋu nya ɖeɖeko ɣeyiɣi katã.
Dɔwɔ ƒe asitsɔ ƒe nɔnɔme dodola
Eɖa asitsɔ siwo le ɖoɖo me la ƒe ɖoɖo ɖe eme eye eɖe ɖoɖo, teknikal kple dɔwɔƒe ƒe ɖoɖo ɖe eme. Sales Target Insight dodola ɖe nya siawo ɖe ɖoɖo me na dɔwɔ ƒe ƒuƒuƒuwo. Wòate ŋu ɖo dɔwɔwɔ ɖe eme eye wòate ŋu nɔ se ɖe eme kple ɣeyiɣi ɖesia. Esia ɖe dɔwɔwɔ ƒe dɔwɔwɔ ɖe eme.
ɖoɖo ƒe di dodola
Ekpɔ ɖoɖo ƒe ɖoɖowo, gaɖuɖuɖu ƒe ɖoɖo kple dɔwɔ ƒe portalwo ɖe asi na se siwo le ɖoɖo me. Tender Discovery dodola nɔna nɔnɔme ɖe ɖoɖo yeyewo ŋu eye dɔwɔ ƒe ƒuƒuƒuwo ate ŋu nɔ nɔnɔme ɖe eme kple ɣeyiɣi ɖesia. Dɔwɔƒewo ɖe vɔ na se siwo le ɖeɖe me la.
Kpekpeɖedᴐ ƒe nuŋlɔɖiɖi dodola
Eɖe nuŋlɔɖiɖi teknikal, data sheet kple kpekpeɖedᴐ ƒe nya tso wɔƒe ɖoɖowo la ɖe eme. Service Documentation dodola nɔna nya siawo le dɔwɔ ƒe ɖoɖo me. Kpekpeɖedᴐ ƒe ƒuƒuƒuwo nɔa ŋuɖoɖo kple ɣeyiɣi ɖesia eye wòadzra ɣeyiɣi ɖe eme.
Dɔwɔ ƒe nudzɔdzikpɔ dodola
Eɖe nya tso dɔwɔ ƒe portalwo, nɔnɔme, ɖoɖo ƒe ƒuƒuƒuwo kple ɖeɖeko ƒe nɔnɔme la ɖe eme ɖe asi. Industry Knowledge dodola ɖe nudzɔdzikpɔ ƒe ɖoɖo ɖeka me na dɔwɔ si le ɖoɖo me. ɖoɖo ƒe ƒuƒuƒuwo nɔa ɖeɖeko ƒe nɔnɔme kple nɔnɔme ɖeka.
Dɔwɔla xɔasinye ƒe nɔnɔme dodola
Eɖa dɔwɔ ƒe ɖoɖo tso dɔwɔƒe siwo le ɖoɖo me la dzi eye edi ƒuƒuƒu yeyewo, teknikal kple nɔƒe ƒe nɔnɔme. Recruiting Intelligence dodola nɔna ŋuɖoɖo na HR kple ɖoɖo ƒe ƒuƒuƒuwo. Dɔwɔƒewo kpɔ dɔwɔ ƒe nɔnɔme ɖe eme eye wòadzra vɔ na ɖoɖo ƒe vɔ̃ɖeɖe.
Kpekpeɖedᴐ ƒe nudzɔdzikpɔ ƒe dodola
Eɖe dɔwɔƒe me kpekpeɖedᴐ ƒe nuŋlɔɖiɖiwo kple wɔƒe ɖoɖo ƒe nya tso ɖoɖo siwo le vovotɔ me la dzi. Extended Support Knowledge dodola nɔna ŋuɖoɖo ɖeka le sistɛm vovotɔ dome. Kpekpeɖedᴐ ƒe ƒuƒuƒuwo ɖeɖe vɔ na biɖeɖe kple ŋuɖoɖo nɔ anya na asitsɔwo.
ɖoɖo si le vovotɔ me la ƒe nudzɔdzikpɔ graf dodola
Eɖe nya tso dɔwɔ ƒe ɖoɖowo, dɔɖoɖoƒe ƒe ɖoɖo kple ɖeɖeko ƒe nɔnɔme la ɖe nudzɔdzikpɔ ƒe ɖoɖo me. External Knowledge Graph dodola nɔna nɔnɔme le dɔwɔƒe, teknikal kple ɖeɖeko dome nɔ. Dɔwɔƒewo nɔa nɔnɔme si wòate ŋu da alɔe na ɖoɖo ƒe wɔnɔ.
Míe nya la
Mía sistɛmewo ɖeɖe dɔwɔƒe nudzɔdzikpɔ si le vovotɔ me la ɖe nudzɔdzikpɔ ƒe ɖoɖo ɖeka me. Esia na dodolawo be woanɔ nɔnɔme, wòakpe ɖe wɔnɔ eye woawɔ nya la nɔ na wò le sekondi me.
RAG sistɛmewo
Kpɔ dɔwɔƒe nudzɔdzikpɔ si le vovotɔ me la le ɣeɖeɖe si wòate ŋu nya la me. Mía sistɛmewo ɖeɖe nuŋlɔɖiɖiwo, dɔwɔnuwo kple data ƒe ɖoɖowo ɖe nɔnɔme si wòate ŋu da alɔe le ɣeyiɣi me.
Nudzɔdzikpɔ grafikwo
Ɖoɖo na dɔwɔƒe nɔnɔme siwo le ɖoɖo me. Míeɖe nudzɔdzikpɔ ɖe ɖoɖo eye wòakpɔ nɔnɔme, wɔnɔ agbalẽe eye sistɛmewo nɔa nɔnɔme le ɖoɖo me.
Dodolawo digitatɔwo
Dodolawo siwo wòawɔ na dɔnyadɔlawo, mɔ̃ɖeɖeɖe kple dɔwɔƒewo. Mía ɖoɖowo kpɔ dɔwɔƒe nudzɔdzikpɔ katã eye wòana ŋuɖoɖo le sekondi me.
Dɔwɔƒe AI ƒe nya veviwo na dɔwɔƒe siwo le dzi
Mía nuƒoƒowo nɔna ale Kaufman AIS ɖeɖe dɔwɔƒe nudzɔdzikpɔ, AI ƒe ɖoɖo kple ɖoɖo siwo le dedie la ɖe sistɛm siwo nɔ dɔ wɔm la me. Nuƒoƒo ɖesia le ɖoɖo ɖeka me.
Dɔwɔƒe nudzɔdzikpɔƒe
Ɖe data ƒe ɖoɖowo, nuŋlɔɖiɖiwo kple dɔwɔnuwo ɖe nudzɔdzikpɔ ƒe ɖoɖo ɖeka me na dɔwɔwɔ, kasadzraɖoƒe, dɔwɔnamɔ kple dɔwɔ siwo le dedie la.
RAG sistɛmewo
Retrieval Augmented Generation na ŋuɖoɖo siwo le wò nyatakaka dzi. Eɖe eme hallucination eye eɖe nudzɔdzikpɔ nɔ na wòakpɔe.
AI dodolawo
Agentic AI kple dɔwɔwɔ ƒe automatisation le n8n, LangGraph kple tsoyomawo ƒe modeliwo dzi. Dɔwɔwɔ siwo le ɖeɖe me eye wòakpɔ tsoyoma ɖe eme.
AI tsoyomawo
AI ƒe ɖoɖo le Europe dzi, le wò ƒe ɖoɖo me alo le wò dɔwɔƒe me, kple kelemudeli siwo le dedie. Le ɖoɖo si le GDPR me eye wòate ŋu kpɔe.
Competitive Intelligence
Kpɔ ɖeɖeko, dɔɖoɖoɖo kple nɔnɔme siwo le ɖeɖe me. Nya siwo le vovotɔ me tso nyadzɔdzɔwo, ɖoɖo, nɔnɔme kple ɖoɖo siwo le eme la ɖe nɔnɔme si wòate ŋu da alɔe la dzi.
Shopware nyagble
Shopware 6 wɔwɔ, ɖeɖeɖe tso Magento kple Shopware 5 dzi kple ɖeɖeɖe kɔntɔ kple SAP S/4HANA kple SAP ECC.
Mía ɖoɖo
Míakpe ɖe mɔ̃ɖeɖeɖe ŋu tso nudzɔdzikpɔ ƒe ɖoɖo siwo le dzi la dzi va na dodolawo siwo nɔ anya la ƒe dɔwɔwɔ me. Mía ɖoɖo naɖe be ɖoɖowo nɔ dɔ wɔm kple woate ŋu agbalẽe ɣeyiɣi geɖe.
1. Nɔnɔme
Míakpɔ kple wò dɔwɔƒe data ƒe ɖoɖowo, dɔwɔwɔ kple nudzɔdzikpɔ ƒe ɖoɖo siwo le dzi. Míekpɔ RAG sistɛmewo, nudzɔdzikpɔ grafikwo kple dodolawo ƒe se eye míeɖe ɖoɖo si wòate ŋu da alɔe la ɖe eme.
2. Wɔwɔ
Míewɔ wò applied intelligence ƒe ɖoɖo eye míeɖeɖe ɖe sistɛm siwo le dzi la me. Míeɖeɖe data ƒe ɖoɖowo, míeɖe nudzɔdzikpɔ ƒe ɖoɖo eye míewɔ dodolawo kple dodolawo le wò dɔwɔwɔ nu nu.
3. Dɔwɔwɔ
Míeɖe wò AI sistɛmewo ɖe eme le wo le dɔwɔwɔ me. Míeɖe ɖoɖo, ɖoɖo kple agbalẽe eye míeɖe be dodolawo nɔna nɔnɔme ɣeyiɣi geɖe.
Assess AI opportunity in 3 minutes
A short check of systems, friction points, and goals shows where enterprise AI can create measurable impact first.
Kpekpeɖeŋu
Ka na míe ɖe wò data ƒe ɖoɖo, nudzɔdzikpɔ ƒe ɖoɖo kple dodolawo siwo ate ŋu nɔ dɔ wɔm le wò dɔwɔƒe me la ŋu.
