{"id":9821,"date":"2025-11-28T11:01:54","date_gmt":"2025-11-28T11:01:54","guid":{"rendered":"https:\/\/weareoakland.com\/?post_type=case_studies&#038;p=9821"},"modified":"2026-05-14T14:29:49","modified_gmt":"2026-05-14T14:29:49","slug":"ai-product-classification-solution-at-scale","status":"publish","type":"case_studies","link":"https:\/\/weareoakland.com\/case-studies\/ai-product-classification-solution-at-scale\/","title":{"rendered":"AI Product Classification Solution at Scale"},"content":{"rendered":"\n<section id=\"block_e2a967ca7c70521cab65e347ef601ef9\" class=\"block intro-row animate white bot-pad-0 default\">\n    <div class='intro-row-wrap'>\n        <h2 class=\"h3\">The Challenge:\n<\/h2><p>Our client, a leading provider of IT solutions and services to businesses and the public sector, has grown to be one of the largest IT services firms in the UK, with an ambitious vision for the future.<\/p>\n<p>They approached Oakland with a challenge that will sound familiar to many long-established businesses: too much data, but not enough structure.<\/p>\n            <\/div>\n<\/section>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading h3\">Unstructured Data<\/h2>\n\n\n\n<p>Over the years, the company has sold millions of technology products, ranging from software licenses and cloud services to hardware, networking equipment, and peripherals. The records of these sales were scattered across multiple systems, from SQL databases to countless Excel spreadsheets.<\/p>\n\n\n\n<p>With thousands of people entering data over the decades, often as free text, in varying formats and levels of detail, consistency was difficult to achieve. The result was around eight million product records, but no reliable, standardised way to analyse or understand them.<\/p>\n\n\n\n<p>Some entries were rich and detailed, with product names, codes, and metadata accurately recorded. Others were little more than shorthand notes, sometimes vague, sometimes incomplete, and occasionally completely unexpected (a \u201cBarbie doll\u201d had somehow made its way into the database).<\/p>\n\n\n\n<h2 class=\"wp-block-heading h3\">Key Issues<\/h2>\n\n\n\n<p>This inconsistent data meant that the business couldn\u2019t confidently answer some of its most important commercial questions, such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which products are driving revenue and margin?<\/li>\n\n\n\n<li>Which lines have been discontinued, and which are growing fastest?<\/li>\n\n\n\n<li>What product areas should the business focus on<\/li>\n<\/ul>\n\n\n\n<p>For many companies running off legacy systems this lack of visibility can be a major limitation. The finance and sales teams were relying on gut instinct instead of trusted insight, which created risk and inefficiency.<\/p>\n\n\n\n<p>Oakland was selected for its reputation as a trusted <a href=\"https:\/\/weareoakland.com\/services\/\"><span>data and AI solutions provider<\/span><\/a>. The team\u2019s role was to bring order to complexity and create a scalable, AI-driven foundation for more informed, data-led decision-making.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/weareoakland.com\/blog\/roadmap-for-data-ai-success\/\"><span>How to create a roadmap for data &amp; AI succes<\/span><\/a><\/div>\n<\/div>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Working with Oakland made a huge difference for us. <\/p>\n\n\n\n<p>&#8220;We had millions of product records over many different systems and very little consistency leading to poor data quality, and honestly, it was a mess. Ultimately, we had no structure, which led to no easy way to get insights. The Oakland team jumped in, rolled up their sleeves, and helped us turn all that chaos into a clear, organised AI solution (which was a first for us) that actually made sense for our business users.&#8221; <\/p>\n\n\n\n<p><em>Head of Data<\/em><\/p>\n<\/blockquote>\n\n\n\n<section id=\"block_6b31ea47d442a73267e4fcff1a7ec42c\" class=\"block intro-row animate white bot-pad-0 default\">\n    <div class='intro-row-wrap'>\n        <h2 class=\"h3\">The Solution:\n<\/h2><p style=\"text-align: left;\">The first step was to understand both the scale of the data and the business context behind it. The company\u2019s goal wasn\u2019t simply to clean data for its own sake, but to accurately report performance across its five key business areas, and to build a reliable base for future <a href=\"https:\/\/weareoakland.com\/services\/data-analytics-and-insights\/\"><span><span>analytics<\/span><\/span><\/a> and AI-driven sales enablement.<\/p>\n<p style=\"text-align: left;\">Oakland\u2019s team quickly recognised that the issue wasn\u2019t just volume, it was structure. The organisation had millions of data points that were all technically \u201cstored\u201d, but they were unclassified, inconsistent, and impossible to search or analyse.<\/p>\n            <\/div>\n<\/section>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-this-is-where-an-ai-driven-data-foundation-could-make-the-difference\">This is where an AI-driven data foundation could make the difference.<\/h3>\n\n\n\n<p>To unlock insight, Oakland needed to transform this vast, unstructured product database into a structured, navigable taxonomy. <\/p>\n\n\n\n<p>Our data engineering and AI teams worked together to design a custom classification framework that mapped each product to the company\u2019s five key business areas and drilled-down into more detailed categories beneath them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-a-living-growing-model-rooted-in-data\">A living, growing model rooted in data<\/h3>\n\n\n\n<p>Using large language models (LLMs) and a \u201chuman-in-the- loop\u201d approach, we trained an AI system to read each product entry and decide what type of product it was, grouping similar items into meaningful, hierarchical categories.<\/p>\n\n\n\n<p>At the highest level, products were grouped into hardware, software, or services. From there, the AI created more specific subcategories such as edge devices, compute, networking hardware, or enterprise applications. <\/p>\n\n\n\n<p>Crucially, the system wasn\u2019t limited to pre-defined labels. If it encountered a new kind of product, for example, 3D printers, it could automatically create a new category and slot it into the taxonomy. This adaptive classification ensured that the structure could evolve along with the business. <\/p>\n\n\n\n<p>The result was a taxonomy that reflected the client\u2019s real-world view of their product universe, not a generic industry template, but a living, growing model rooted in their data and their language.<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<section id=\"block_ed81dcfce6d972800dd967440b8cf161\" class=\"background-container   background-container-6a1965ce6e301961863356\">\n    <style>\n                .background-container-6a1965ce6e301961863356 {\n                            --block-bg-color: #303e48;\n                                        --heading-color: #ffffff;\n                                        --block-text-color: #ffffff;\n                    }\n    <\/style>\n    <div class=\"container\">\n        \n\n<h2 class=\"wp-block-heading h3\" id=\"h-the-results\">The Results:<\/h2>\n\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-from-data-chaos-to-clarity\">From data chaos to clarity<\/h3>\n\n\n\n<p>The client now has a fully structured, AI-driven product taxonomy that covers its entire portfolio. Every product can be traced through multiple levels of classification from high- level category down to individual product type, enabling the business to report, analyse, and forecast with confidence. <\/p>\n\n\n\n<p>Teams can now answer fundamental questions instantly: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which categories drive the most revenue?<\/li>\n\n\n\n<li>Which areas are underperforming?<\/li>\n\n\n\n<li>Which product lines are growing fastest, and where are the opportunities? <\/li>\n<\/ul>\n\n\n\n<p>The system\u2019s transparency means every classification is explainable: users can see why a product was placed in a given category and how confident the AI was in that decision. This builds trust and provides an audit trail for compliance and governance.<\/p>\n\n\n    <\/div>\n<\/section>\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-human-expertise-meets-machine-intelligence\">Human expertise meets machine intelligence<\/h3>\n\n\n\n<p>While the AI handled the heavy lifting, human expertise remained vital. Oakland\u2019s data and AI consultants collaborated closely with subject matter experts from across the business, from sales to finance and product management, to review, refine, and validate the AI\u2019s classifications. This human-in-the-loop approach ensured that the final taxonomy not only made technical sense but also made business sense.<\/p>\n\n\n\n<p>Instead of asking people to manually tag thousands of individual records, a process that would have taken years, we gave them a structured, explainable model to review. Adjustments could be made in hours, not months.<\/p>\n\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-scaling-to-production\">Scaling to production<\/h3>\n\n\n\n<p>Once the taxonomy was validated, Oakland built a scalable pipeline to classify hundreds of thousands of product records quickly and accurately. <\/p>\n\n\n\n<p>We started with a sample of 20,000 products to train and test the model, then scaled to 300,000 records covering three full financial years, representing the majority of the company\u2019s recent revenue.<\/p>\n\n\n\n<p>The solution was deployed in a secure cloud environment using Azure\u2019s OpenAI service, with custom tooling built by Oakland to manage data flow, compute requirements, and error handling. <\/p>\n\n\n\n<p>This allowed us to process vast amounts of unstructured data in parallel, achieving what would previously have required years of manual effort in a matter of hours.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/weareoakland.com\/partners\/\"><span>Our Microsoft partnership<\/span><\/a><\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading h4\" id=\"h-ai-driven-efficiency-and-roi\">AI-driven efficiency and ROI<\/h3>\n\n\n\n<p>The time and cost savings were eye-opening. <\/p>\n\n\n\n<p><strong>Running the AI model across 300,000 product records costs less than \u00a3100. <\/strong>By contrast, a human team classifying the same volume manually would have taken around three years, not to mention the mind-numbing tedium of manually tagging thousands of product lines (precisely the kind of monotonous work AI was made for). <\/p>\n\n\n\n<p>That\u2019s a 1,000x improvement in speed and efficiency.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Oakland didn\u2019t just throw tech at the problem, instead choosing to work alongside our IT and business teams, making sure the solution was fit for what we really needed. Their mix of AI know-how and practical business sense meant we got results fast. Now, we can actually trust our data, answer important questions, and spot new opportunities in our product data. <\/p>\n\n\n\n<p>&#8220;Oakland set us up with a solid foundation for our new LLM, helped us with all the documentation and handover of this new solution, and we\u2019re in a much better place to move forward with confidence in our product data thanks to them.&#8221;<\/p>\n\n\n\n<p><em>Head of Data<\/em><\/p>\n<\/blockquote>\n\n\n<section id=\"block_ed81dcfce6d972800dd967440b8cf161\" class=\"background-container   background-container-6a1965ce6e70f759265783\">\n    <style>\n                .background-container-6a1965ce6e70f759265783 {\n                            --block-bg-color: #303e48;\n                                        --heading-color: #ffffff;\n                                        --block-text-color: #ffffff;\n                    }\n    <\/style>\n    <div class=\"container\">\n        \n\n<h3 class=\"wp-block-heading h4\" id=\"h-unlocking-commercial-value\">Unlocking commercial value<\/h3>\n\n\n\n<p>Beyond efficiency, the structured data has unlocked new layers of commercial insight. The company can now: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Identify which technology areas deliver the highest profit margins.<\/li>\n\n\n\n<li>Understand which products and services are underperforming.<\/li>\n\n\n\n<li>Align marketing and sales strategies with real performance data. <\/li>\n\n\n\n<li>Enable more intelligent, personalised customer interactions such a recommending upgrades or complementary products based on past purchases. <\/li>\n<\/ul>\n\n\n\n<p>This foundation also opens the door for AI-driven recommendation engines, similar to those used by streaming or e-commerce platforms. For example, the system could suggest new products when warranties expire or highlight logical upsell opportunities empowering sales teams to deliver a more personalised customer experience.<\/p>\n\n\n    <\/div>\n<\/section>\n\n\n<h2 class=\"wp-block-heading has-text-align-center h3\" id=\"h-your-turn\">Your Turn<\/h2>\n\n\n\n<p class=\"has-text-align-center\">Find out how we can develop an AI-driven data foundation to transform your commercial activities by speaking with our friendly team.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/weareoakland.com\/contact-us\/\"><span>Contact us<\/span><\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>How we brought order to complexity and created a scalable, AI-driven foundation for more informed, data-led decision-making for a leading provider of IT solutions and services.<\/p>\n","protected":false},"featured_media":9823,"template":"","case_studies_category":[400],"class_list":["post-9821","case_studies","type-case_studies","status-publish","has-post-thumbnail","hentry","case_studies_category-artificialintelligence"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Product Classification Solution at Scale | Oakland<\/title>\n<meta name=\"description\" content=\"How we created a scalable, AI-driven data foundation for more informed decision-making for a leading provider of IT solutions and services.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/weareoakland.com\/case-studies\/ai-product-classification-solution-at-scale\/\" 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