{"id":696,"date":"2025-08-14T12:32:42","date_gmt":"2025-08-14T12:32:42","guid":{"rendered":"http:\/\/www.databykatariina.com\/repertoire\/"},"modified":"2026-04-04T13:03:12","modified_gmt":"2026-04-04T13:03:12","slug":"automation","status":"publish","type":"page","link":"https:\/\/www.databykatariina.com\/?page_id=696","title":{"rendered":"Fashion e-commerce business performance analysis"},"content":{"rendered":"\n<div class=\"wp-block-uagb-container uagb-block-0c94572f alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\"><h2 style=\"font-size:32px;\" class=\"has-text-align-center has-link-color wp-elements-5cc35310d7f8c574e59c02158f9ff886 wp-block-post-title has-text-color has-ast-global-color-0-color\">Fashion e-commerce business performance analysis<\/h2><\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-3ec5d9fa alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<p>What drives growth and profitability in e-commerce? This project analyzes customer behaviour and product performance to uncover revenue drivers and support smarter commercial decisions.<\/p>\n\n\n\n<p class=\"has-ast-global-color-2-color has-text-color has-link-color wp-elements-beb50e5c9aa75ea3dcf47d2b28dace76\">View the full project code on <strong><a href=\"https:\/\/github.com\/Katariina83\/Python-project-Fashion-Ecom\">Github \u2192<\/a><\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Key Insights<\/strong><\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Revenue growth is strongly supported by repeat customers<\/li>\n\n\n\n<li>High-volume products show lower profitability margins<\/li>\n\n\n\n<li>Certain categories outperform in both revenue and margin<\/li>\n\n\n\n<li>Discounting impacts revenue positively but reduces margin<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Business Impact<\/strong><\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Identified opportunities to improve pricing strategy<\/li>\n\n\n\n<li>Highlighted high-value customer segments for targeting<\/li>\n\n\n\n<li>Provided actionable recommendations for revenue and margin optimization<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Overview<\/strong><\/p>\n\n\n\n<p>This project demonstrates an end-to-end business intelligence workflow for a fashion e-commerce company.<\/p>\n\n\n\n<p>The objective was to analyze product performance, customer behavior, and revenue drivers to support strategic decision-making.<\/p>\n\n\n\n<p>A synthetic dataset was created using Python and analyzed in Power BI to deliver a decision-ready dashboard.<\/p>\n\n\n\n<p>The case links customer behaviour and product performance to commercial decision-making.<\/p>\n\n\n\n<p class=\"has-ast-global-color-2-color has-text-color has-link-color wp-elements-351e555e98666c63a4c1d0db64721443\"><\/p>\n\n\n\n<figure class=\"wp-block-image alignfull size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1881\" src=\"https:\/\/www.databykatariina.com\/wp-content\/uploads\/2026\/02\/fashion-ecom-presentation-scaled.gif\" alt=\"\" class=\"wp-image-2382\"\/><\/figure>\n\n\n\n<p><strong><em>Dashboard summarizes key commercial KPIs, including revenue, AOV, customer base, and repeat rate.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Business Objective<\/strong><\/p>\n\n\n\n<p>How can we evaluate product performance across revenue, profitability, and volume to identify:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>High-performing products worth scaling<\/li>\n\n\n\n<li>High-volume but low-margin products requiring pricing review<\/li>\n\n\n\n<li>Underperforming products needing strategic action<\/li>\n\n\n\n<li>Category-level growth opportunities<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Analytical approach<\/strong><\/p>\n\n\n\n<p>The dataset simulates a mid-sized fashion e-commerce company:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>45,000 orders<\/li>\n\n\n\n<li>8,000 unique customers<\/li>\n\n\n\n<li>2.68 M\u20ac total revenue<\/li>\n\n\n\n<li>92.89% repeat rate<\/li>\n<\/ul>\n\n\n\n<p>Approach:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Generated a structured synthetic dataset using Python<\/li>\n\n\n\n<li> Stored and queried data using SQL (SQLite)<\/li>\n\n\n\n<li>Aggregated performance metrics (revenue, margin, AOV)<\/li>\n\n\n\n<li>Modeled data in Power BI using a star schema<\/li>\n\n\n\n<li>Built interactive dashboards with KPI-focused visuals<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Key questions<\/strong><\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Is revenue growing sustainably?<\/li>\n\n\n\n<li>What drives repeat purchases?<\/li>\n\n\n\n<li>Are discounts improving revenue or eroding margin?<\/li>\n\n\n\n<li>Which customer segments generate the most value?<\/li>\n\n\n\n<li>Is customer retention stable?<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><strong>Recommendations<\/strong><\/p>\n\n\n\n<p>Based on the analysis:<\/p>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\" class=\"wp-block-list\">\n<li>Increase marketing investment in high-margin women\u00b4s products.<\/li>\n\n\n\n<li>Review pricing strategy for high-volume, low-margin items.<\/li>\n\n\n\n<li>Develop targeted campaigns to grow niche high-margin products.<\/li>\n\n\n\n<li>Continue leveraging strong repeat customer behavior for retention-driven growth.<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap 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This project analyzes customer behaviour and product performance to uncover revenue drivers and support smarter commercial decisions. View the full project code on Github \u2192 Key Insights Business Impact Overview This project demonstrates an end-to-end business intelligence workflow for a fashion e-commerce company. The objective was to analyze [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"no-sidebar","site-content-layout":"plain-container","ast-site-content-layout":"normal-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-696","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/www.databykatariina.com\/?author=1"},"uagb_comment_info":0,"uagb_excerpt":"What drives growth and profitability in e-commerce? 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