{"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:\/\/teststage.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>Challenge<\/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>The approach<\/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>Challenge<\/h4>\n<p style=\"text-align: justify;\"><span>Since the acquisition of new customers costs significantly more than maintaining or even deepening existing customer relationships, a customer willing to migrate to other suppliers must be identified as early as possible to then bind him further through optimized offers. Increased untargeted sales contact can have the opposite effect and will increase the likelihood of churn even more.<\/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>The approach<\/h4>\n<p style=\"text-align: justify;\"><span>Based on the historical customer churn data, using various external and internal available customer attributes, a decision tree is generated that allows an accurate churn forecast to be created for each existing and future customer<\/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:\/\/teststage.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>By using the biX AI Tools, the solution approach can be fully integrated into your SAP system.<\/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>Your benefit<\/h4>\n<p style=\"text-align: justify;\"><span>By using a decision tree for churn forecasting, the underlying rules become directly transparent and thus allows to quickly identify the relevant adjusting screws for an expanded customer offer. As a result, customers can be tied to the company for a longer period of time.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>","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":"","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],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2707"}],"collection":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=2707"}],"version-history":[{"count":0,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2707\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2827"}],"wp:attachment":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}