{"id":2707,"date":"2021-05-11T14:19:08","date_gmt":"2021-05-11T12:19:08","guid":{"rendered":"https:\/\/devstage.bix-consulting.com\/?p=2707"},"modified":"2023-06-16T11:57:25","modified_gmt":"2023-06-16T09:57:25","slug":"kundenabwanderung-senken","status":"publish","type":"post","link":"https:\/\/www.bix-consulting.com\/en\/kundenabwanderung-senken\/","title":{"rendered":"Reduce customer churn"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8220;1&#8243; disabled_on=&#8220;on|on|on&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; disabled=&#8220;on&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_row use_custom_gutter=&#8220;on&#8220; gutter_width=&#8220;2&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;off|20px|20px||&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;]<\/p>\n<h4>Herausforderung<\/h4>\n<p style=\"text-align: justify;\">Ein in europaweit agierendes Unternehmen bietet Tankkarten f\u00fcr seine ca. 250.000 Gesch\u00e4ftskunden an. Das Gesch\u00e4ftsmodell beinhaltet f\u00fcr das Unternehmen ein hohes finanzielles Risiko, da es prozessbedingt in Vorleistung (Kostenabgang vor Zahlung des Endkunden) geht. Die H\u00f6he der Vorleistung betr\u00e4gt pro Monat einen 10-stelligen Betrag! Ziel muss es demnach sein, die Wahrscheinlichkeit eines Zahlungsausfalls zu minimieren.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_post_title title=&#8220;off&#8220; meta=&#8220;off&#8220; force_fullwidth=&#8220;off&#8220; image_width=&#8220;60%&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;off|||20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;]<\/p>\n<h4>Unser L\u00f6sungsansatz<\/h4>\n<p style=\"text-align: justify;\">biX Consulting hat auf Basis von KI ein Modell entwickelt, welches die Problematik der Kundenbewertung deutlich optimiert. Im Rahmen von Big Data werden sekundenschnell interne sowie externe Daten zusammengef\u00fchrt, verarbeitet und daraus eine verl\u00e4ssliche Aussage zur Bonit\u00e4t des (Neu)-Kunden getroffen. Mit dieser L\u00f6sung wird die Wahrscheinlichkeit des Ausfallsrisikos elementar reduziert.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_row use_custom_gutter=&#8220;on&#8220; gutter_width=&#8220;2&#8243; make_equal=&#8220;on&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; sticky_enabled=&#8220;0&#8243;]<\/p>\n<h4>Herausforderung<\/h4>\n<p style=\"text-align: justify;\"><span>Da die Akquise von Neukunden deutlich mehr kostet als bestehende Kundenbeziehungen zu halten oder sogar zu vertiefen, muss ein abwanderungswilliger Kunde m\u00f6glichst fr\u00fch identifiziert werden, um ihn dann durch optimierte Angebote weiter zu binden. Verst\u00e4rkte ungezielte vertriebliche Kontaktaufnahme kann eher das Gegenteil bewirken und den Abwanderungswillen noch erh\u00f6hen.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_post_title title=&#8220;off&#8220; meta=&#8220;off&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;RGBA(255,255,255,0)&#8220; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; hover_enabled=&#8220;0&#8243; border_radii=&#8220;off|||20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; sticky_enabled=&#8220;0&#8243;]<\/p>\n<h4>Unser L\u00f6sungsansatz<\/h4>\n<p style=\"text-align: justify;\"><span>Basierend auf den historischen Kundenabwanderungsdaten unter Zuhilfenahme verschiedener extern und intern verf\u00fcgbarer Kundenattribute wird ein Entscheidungsbaum generiert, der es erlaubt, f\u00fcr jeden bestehenden und zuk\u00fcnftigen Kunden eine genaue Abwanderungsprognose zu erstellen.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;10px||0px||false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; sticky_enabled=&#8220;0&#8243;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_image src=&#8220;https:\/\/www.bix-consulting.com\/wp-content\/uploads\/2021\/05\/Kundenabwanderung-gezielt-senken.png&#8220; title_text=&#8220;Kundenabwanderung-gezielt-senken&#8220; show_bottom_space=&#8220;off&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; custom_margin=&#8220;||||false|false&#8220; sticky_enabled=&#8220;0&#8243;][\/et_pb_image][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; sticky_enabled=&#8220;0&#8243;]<\/p>\n<p><span>Mit den biX AI Tools kann der L\u00f6sungsansatz vollst\u00e4ndig in Ihr SAP System integriert werden.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.16&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220; sticky_enabled=&#8220;0&#8243;]<\/p>\n<h4>Ihr Nutzen<\/h4>\n<p style=\"text-align: justify;\"><span>Durch Nutzung eines Entscheidungsbaums zur Abwanderungsprognose werden die zugrundliegenden Regeln direkt transparent und erlauben es, schnell die relevanten Stellschrauben f\u00fcr ein erweitertes Kundenangebot zu identifizieren und somit den Kunden l\u00e4ngerfristig an das Unternehmen zu binden.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Development of a model to integrate internal and external data to forecast customer churn in a time-sensitive approach<\/p>","protected":false},"author":6,"featured_media":2827,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"","_lmt_disable":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"iawp_total_views":9,"footnotes":""},"categories":[32],"tags":[43,39,26,45,29,31,48,100,99,40,104,101,98,105,38,106,27,44,41,50,42,49,103,46,47,102],"class_list":["post-2707","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-use-cases","tag-beratung","tag-big-data","tag-bix","tag-bix-beratung","tag-bix-consulting","tag-bix-sap","tag-consulting","tag-customer","tag-customer-churn","tag-data-science","tag-gezielt-senken","tag-kunde","tag-kundenabwanderung","tag-kundenabwanderung-senken","tag-ratingen","tag-reduce-customer-churn","tag-sap","tag-sap-beratung","tag-sap-bw","tag-sap-consulting","tag-sap-hana","tag-sap-solutions","tag-senken","tag-service","tag-solution","tag-wanderung"],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=2707"}],"version-history":[{"count":0,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2707\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2827"}],"wp:attachment":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}