{"id":683,"date":"2026-05-11T23:26:56","date_gmt":"2026-05-11T23:26:56","guid":{"rendered":"https:\/\/logaritm.uk\/projects\/underwritingrisk-copilot-3\/"},"modified":"2026-05-12T00:58:55","modified_gmt":"2026-05-12T00:58:55","slug":"underwritingrisk-copilot-3","status":"publish","type":"projects","link":"https:\/\/logaritm.uk\/ar\/projects\/underwritingrisk-copilot-3\/","title":{"rendered":"\u0645\u0646\u0635\u0629 \u0627\u0644\u0639\u0642\u0627\u0631\u0627\u062a"},"content":{"rendered":"<div class=\"section-hero v1 v2  block-banner\">\n    <div class=\"hero-image overflow-hidden\" style=\"background-image: url(&#039;https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/featured-works-1.jpg&#039;); min-height: 400px !important; z-index: -1;\">\n            <\/div>\n    <div class=\"container\" style=\"position: relative; z-index: 2;\">\n        <div class=\"content-wrap text-center\">\n            <div class=\"title text-display-2 effectFade fadeRotateX\">\n                                <span class=\"title1 fw-semibold text-gradient-1\">\u0645\u0646\u0635\u0629 \u0627\u0644\u0639\u0642\u0627\u0631\u0627\u062a<\/span>\n                                <br>\n                <div class=\"title2 d-flex gap-20 justify-content-center flex-wrap\">\n                                                            <div class=\"title-icon\">\n                        <div class=\"box\"><\/div>\n                        <div class=\"title-icon-wrap\">\n                                                            <img decoding=\"async\" src=\"https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/item-13.svg\" alt=\"\" class=\"img-1 img-transform-3\">\n                                                                                        <img decoding=\"async\" src=\"https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/item-14.svg\" alt=\"\" class=\"img-2 img-transform-3\">\n                                                                                        <img decoding=\"async\" src=\"https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/item-15.svg\" alt=\"\" class=\"img-3 img-transform-3\">\n                                                    <\/div>\n                    <\/div>\n                                    <\/div>\n            <\/div>\n                        <p class=\"text effectFade fadeUp\">\n                \u0646\u0638\u0627\u0645 \u0644\u0639\u0631\u0636 \u0627\u0644\u0639\u0642\u0627\u0631\u0627\u062a \u0645\u062b\u0644 \u0627\u0644\u0634\u0642\u0642 \u0648\u0627\u0644\u0641\u064a\u0644\u0627\u062a \u0648\u0627\u0644\u0648\u062d\u062f\u0627\u062a \u0627\u0644\u062a\u062c\u0627\u0631\u064a\u0629 \u0645\u0639 \u0641\u0644\u0627\u062a\u0631 \u0628\u062d\u062b\u060c \u0627\u0644\u0623\u0633\u0639\u0627\u0631\u060c \u0627\u0644\u0635\u0648\u0631\u060c \u0648\u0625\u0645\u0643\u0627\u0646\u064a\u0629 \u0627\u0644\u062a\u0648\u0627\u0635\u0644 \u0645\u0639 \u0627\u0644\u0645\u0639\u0644\u0646.\n            <\/p>\n                                <\/div>\n    <\/div>\n<\/div> \n\n\n<div class=\"section-services-single image-absolute block-split-content\">\n    <div class=\"container\">\n        <div class=\"row\">\n            <div class=\"col-12\">\n                                    <div class=\"top-image mb-40 effectFade fadeZoom\">\n                        <img decoding=\"async\" src=\"https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/service-3.jpg\" alt=\"Project Details\">\n                    <\/div>\n                            <\/div>\n            <div class=\"col-12\">\n                                    <div class=\"heading fw-semibold mb-20 effectFade fadeUp\">Project Details<\/div>\n                            <\/div>\n        <\/div>\n        <div class=\"row mb-80\">\n            <div class=\"col-md-7 md-mb-24\">\n                                    <div class=\"text-secondary effectFade fadeUp\">\n                        <p>Catalog Intelligence Engine is an AI-powered platform designed to optimize product catalog management for e-commerce and retail businesses. It automates product classification, attribute extraction, enrichment, and consistency checks, reducing manual effort and improving customer experience. Leveraging natural language processing, computer vision, and machine learning, the engine identifies product categories, extracts key attributes (e.g., size, color, material), and detects anomalies or missing information. It integrates with existing catalog management systems, PIM platforms, and marketplaces to ensure seamless updates and synchronization across channels. Key features include automatic product tagging, duplicate detection, attribute standardization, and real-time catalog analytics.<\/p>\n<p>By continuously learning from historical data and market trends, the system improves accuracy and efficiency over time. The solution enables teams to manage large and complex catalogs, reduce errors, and accelerate time-to-market for new products. With enhanced catalog quality, businesses can deliver better search, filtering, and recommendation experiences, ultimately boosting conversion and customer satisfaction. Overall, Catalog Intelligence Engine transforms catalog management into a smarter, faster, and more reliable process, empowering teams to scale operations while maintaining high-quality product data.<\/p>\n\n                    <\/div>\n                            <\/div>\n            <div class=\"col-md-5\">\n                \n                \n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n<div class=\"project-meta container block-project-meta\">\n    <div class=\"row mb-60\">\n        <div class=\"col-md-8 md-mb-24\">\n            <div class=\"text-body-1 fw-semibold text-secondary mb-15 effectFade fadeUp\">\n                DELIVERABLES\n            <\/div>\n                            <div class=\"list-tags effectFade fadeUp\">\n                                            <a href=\"#\" class=\"tags-item fw-semibold\">Use-case<\/a>\n                                            <a href=\"#\" class=\"tags-item fw-semibold\">mapping,<\/a>\n                                            <a href=\"#\" class=\"tags-item fw-semibold\">Prompt &amp; UI patterns<\/a>\n                                    <\/div>\n                    <\/div>\n        <div class=\"col-md-4\">\n            <div class=\"text-body-1 fw-semibold text-secondary mb-15 effectFade fadeUp\" data-delay=\"0.1\">\n                INDUSTRY\n            <\/div>\n                            <div class=\"list-tags effectFade fadeUp\" data-delay=\"0.1\">\n                                            <a href=\"#\" class=\"tags-item fw-semibold\">Fintech<\/a>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading container\">Project Research<\/h2>\n\n\n\n<p class=\"container\">Catalog Intelligence Engine is an AI-powered platform designed to optimize product catalog management for e-commerce and retail businesses. It automates product classification, attribute extraction, enrichment, and consistency checks, reducing manual effort and improving customer experience. Leveraging natural language processing, computer vision, and machine learning, the engine identifies product categories, extracts key attributes (e.g., size, color, material), and detects anomalies or missing information. It integrates with existing catalog management systems, PIM platforms, and marketplaces to ensure seamless updates and synchronization across channels. Key features include automatic product tagging, duplicate detection, attribute standardization, and real-time catalog analytics.<br><br>efficiency over time. The solution enables teams to manage large and complex catalogs, reduce errors, and accelerate time-to-market for new products. With enhanced catalog quality, businesses can deliver better search, filtering, and recommendation experiences, ultimately boosting conversion and customer satisfaction. Overall, Catalog Intelligence Engine transforms catalog management into a smarter, faster, and more reliable process, empowering teams to scale operations while maintaining high-quality product data.<\/p>\n\n\n\n<p class=\"container\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading container\">Project Results<\/h2>\n\n\n\n<p class=\"container\">The deployment of Catalog Intelligence Engine delivered measurable improvements in catalog management efficiency and quality. Manual effort for product classification and attribute entry decreased by 50%, while duplicate listings and inconsistencies dropped by over 40%. Automated tagging and attribute standardization enhanced search accuracy and recommendation relevance, contributing to higher user engagement and conversion rates. Real-time analytics allowed managers to monitor catalog health, identify gaps, and make data-driven decisions.The engine also improved scalability, enabling businesses to onboard large numbers of products quickly without compromising data quality. Feedback from catalog teams highlighted a significant reduction in operational workload, faster time-to-market for new products, and improved confidence in product information accuracy.Overall, the Catalog Intelligence Engine transformed catalog management into a smarter, faster, and more reliable process, driving operational efficiency, better customer experiences, and measurable business value for e-commerce organizations.<\/p>\n\n\n<section class=\"section-gallery flat-spacing block-gallery\">\n    <div class=\"container\">\n        \n                    <div class=\"gallery-content\">\n                <div class=\"row \">\n                                            <div class=\"col-md-6 mb-24\">\n                            <div class=\"image-box overflow-hidden rounded-20 effectFade fadeUp\"\n                                data-delay=\"0\">\n                                <img decoding=\"async\" src=\"https:\/\/logaritm.uk\/wp-content\/uploads\/2026\/05\/work-single-4-1.jpg\" 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\u062c\u0639\u0644\u062a \u0643\u0644 \u0642\u0631\u0627\u0631 \u0648\u0627\u0636\u062d\u064b\u0627 \u062a\u0645\u0627\u0645\u064b\u0627.<\/p>\n<!-- \/wp:paragraph -->\n                              <\/div>\n                            \n                            <div class=\"cite\">\n\n                              <img decoding=\"async\" class=\"line-left\" src=\"assets\/images\/item\/line-1.png\" alt=\"\">\n\n                                                              <div class=\"name text-body-3 text-neutral-400 fw-semibold\">\n                                  Elena Ruiz\n                                <\/div>\n                              \n                              <div class=\"line\"><\/div>\n\n                                                              <div class=\"sub text-body-3 text-neutral-400\">\n                                  \u0646\u0627\u0626\u0628\u0629 \u0631\u0626\u064a\u0633 \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0641\u064a SaaS\n        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