[et_pb_section fb_built=”1″ _builder_version=”4.20.0″ _module_preset=”default” background_enable_image=”off” custom_padding=”10px||||false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.20.0″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.20.0″ _module_preset=”default” header_font=”||||||||” header_text_color=”#6667ac” header_font_size=”56px” header_line_height=”62px” background_image=”https:\/\/www.flumiq.ch\/wp-content\/uploads\/2023\/03\/unit-cost_flumiq-web.jpg” height=”550px” height_tablet=”550px” height_phone=”200px” height_last_edited=”on|phone” custom_padding=”120px|||70px|false|false” custom_padding_tablet=”120px|||70px|false|false” custom_padding_phone=”40px||10px|10px|false|false” custom_padding_last_edited=”on|desktop” header_font_size_tablet=”56px” header_font_size_phone=”30px” header_font_size_last_edited=”on|phone” header_line_height_tablet=”60px” header_line_height_phone=”42px” header_line_height_last_edited=”on|phone” border_radii=”off|40px||40px|” global_colors_info=”{}” height__hover_enabled=”on|desktop” height__hover=”550px”]<\/p>\n
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What is the right granularity for calculating logistics costs <\/strong>? While transportation costs are usually known at the order level, the warehouse costs are only broken down as a flat percentage <\/strong>. This means that important controls <\/strong> for product and category design for the shipper or service design for the logistics service provider are missing. What influence do product properties such as size, weight, but also sensitivity and special packaging requirements have? Unfavorable properties can easily “eat up” <\/strong> the gross margin <\/strong> in many cases.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.20.0″ _module_preset=”default” text_font=”|300|||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”25px” header_font=”sofia pro light||||||||” header_text_color=”#6667ac” header_font_size=”35px” header_line_height=”32px” header_2_text_color=”#6667ac” header_2_font_size=”31px” header_2_line_height=”34px” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” module_alignment=”center” custom_margin=”60px||||false|false” custom_margin_tablet=”60px||||false|false” custom_margin_phone=”40px||||false|false” custom_margin_last_edited=”on|phone” custom_padding=”|70px||0px|false|false” custom_padding_tablet=”|70px||0px|false|false” custom_padding_phone=”|0px||0px|false|false” custom_padding_last_edited=”on|tablet” header_2_font_size_tablet=”31px” header_2_font_size_phone=”21px” header_2_font_size_last_edited=”on|phone” header_2_line_height_tablet=”34px” header_2_line_height_phone=”24px” header_2_line_height_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n The flumiq model allows, if enough data points are captured, to assign the actual costs <\/strong> to the individual order lines and thus to the products. This can then be used to calculate the costs per product, per order <\/strong> depending for example on the shipping method. In addition to category planning, pricing, and service design, the potential for process changes can also be evaluated.[\/et_pb_text][et_pb_text content_tablet=”<\/p>\n \u00a9 flumiq AG 2023 \u00b7 all rights reserved \u00b7 legal notice<\/a> \u00b7 privacy policy <\/a> <\/p>\n ” content_phone=”\u00a9 flumiq AG 2023 \u00a9 flumiq AG 2023 \u00b7 all rights reserved \u00b7 \u00a0legal notice<\/a> \u00b7 privacy policy <\/a> \u00a0<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Unit Cost Analysis What is the right granularity for calculating logistics costs ? While transportation costs are usually known at the order level, the warehouse costs are only broken down as a flat percentage . This means that important controls for product and category design for the shipper or service design for the logistics service […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-1087","page","type-page","status-publish","hentry"],"yoast_head":"\nThe flumiq approach shows the costs<\/h2>\n
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