{"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:\/\/teststage.bix-consulting.com\/en\/konfigurationsoptimierung\/","title":{"rendered":"Optimizing of configuration"},"content":{"rendered":"

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Challenge<\/h4>\n

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

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=“4.21.0″ _module_preset=“default“ custom_padding=“0px||0px||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_column type=“4_4″ _builder_version=“4.21.0″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_post_title title=“off“ meta=“off“ force_fullwidth=“off“ image_width=“60%“ _builder_version=“4.21.0″ _module_preset=“default“ background_color=“#F4F4F4″ custom_margin=“||||false|false“ custom_padding=“||||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=“4.21.0″ _module_preset=“default“ custom_padding=“0px||||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_column type=“4_4″ _builder_version=“4.21.0″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_text _builder_version=“4.21.0″ _module_preset=“default“ background_color=“#F4F4F4″ custom_padding=“20px|20px|20px|20px|false|false“ border_radii=“off|||20px|20px“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“]<\/p>\n

The approach<\/h4>\n

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

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Challenge<\/h4>\n

Configurable products generally increase customer acceptance for higher prices since customers develop the feeling of having purchased a perfectly individualized product. On the product side, however, configurability leads to increased complexity in production, which prevents a comparative analysis of costs, sales and margins and therefore also prevents a way of optimisation.<\/span><\/p>\n

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The approach<\/h4>\n

Based on the configurations of already produced and sold products, a neural network is used to create a digital map of the materials used, which groups similar materials based on their use. On this basis, similar configurations can now be automatically determined and compared in terms of costs, revenues, and margins.<\/span><\/p>\n

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By using the biX AI Tools, the solution approach can be fully integrated into your SAP system.<\/span><\/p>\n

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Your benefit<\/h4>\n

By identifying similar configurations, they can be quickly compared in terms of their manufacturing costs so that cost-optimal suggestions can be submitted to customers. At the same time, configurations with particularly high margins can be promoted for sales purposes, up to a recommendation system during configuration<\/span><\/p>\n

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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":"","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],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2711"}],"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=2711"}],"version-history":[{"count":0,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2711\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2828"}],"wp:attachment":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}