{"id":2711,"date":"2021-05-11T14:00:29","date_gmt":"2021-05-11T12:00:29","guid":{"rendered":"https:\/\/devstage.bix-consulting.com\/?p=2711"},"modified":"2023-06-16T12:04:31","modified_gmt":"2023-06-16T10:04:31","slug":"konfigurationsoptimierung","status":"publish","type":"post","link":"https:\/\/www.bix-consulting.com\/en\/konfigurationsoptimierung\/","title":{"rendered":"Optimizing of configuration"},"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>Konfigurierbare Produkte erh\u00f6hen grunds\u00e4tzlich die Akzeptanz der Kunden f\u00fcr h\u00f6here Preise, bei dem gleichzeitigen Gef\u00fchl, ein individuell perfekt angepasstes Produkt erworben zu haben. Auf Produktseite f\u00fchrt die Konfigurierbarkeit aber zu einer erh\u00f6hten Komplexit\u00e4t in der Produktion, die eine vergleichende Analyse von Kosten, Ums\u00e4tzen und Margen verhindert und somit auch einer Optimierung entgegensteht.<\/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 bereits hergestellten und verkauften Konfigurationen wird mit Hilfe eines Neuronalen Netzes eine digitale Landkarte der eingesetzten Materialien erzeugt, die \u00e4hnliche Materialien aufgrund ihrer Nutzung gruppiert. Auf dieser Basis k\u00f6nnen nun \u00e4hnliche Konfigurationen automatisiert ermittelt und in Bezug auf Kosten, Ums\u00e4tze und Margen verglichen 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;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\/Konfigurationsoptimierung.png&#8220; title_text=&#8220;Konfigurationsoptimierung&#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; 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; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;et_body_layout&#8220;]<\/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 die Identifikation \u00e4hnlicher Konfigurationen k\u00f6nnen diese schnell hinsichtlich ihrer Fertigungskosten verglichen werden und somit den Kunden kostenoptimale Vorschl\u00e4ge unterbreitet werden. Gleichzeitig k\u00f6nnen Konfigurationen mit besonders hohen Margen vertrieblich gef\u00f6rdert werden, bis hin zu einem Empfehlungssystem bei der Konfiguration.<\/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 neural network to identify similar configuration features in order to plan manufacturing costs in a cost-optimal way<\/p>","protected":false},"author":6,"featured_media":2828,"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":12,"footnotes":""},"categories":[32],"tags":[43,39,26,45,29,31,123,48,40,125,122,126,124,111,38,27,44,41,50,42,49,46,47],"class_list":["post-2711","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-configuration","tag-consulting","tag-data-science","tag-konfigration-optimieren","tag-konfiguration","tag-konfigurationoptimierung","tag-opimierung","tag-optimieren","tag-ratingen","tag-sap","tag-sap-beratung","tag-sap-bw","tag-sap-consulting","tag-sap-hana","tag-sap-solutions","tag-service","tag-solution"],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2711","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=2711"}],"version-history":[{"count":0,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2711\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2828"}],"wp:attachment":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}