{"id":4979,"date":"2023-03-04T15:32:00","date_gmt":"2023-03-04T10:02:00","guid":{"rendered":"https:\/\/laveshsumant.com\/?p=4979"},"modified":"2026-08-13T21:17:52","modified_gmt":"2026-08-13T15:47:52","slug":"sgs-d-tech-cargo-scanning-application","status":"publish","type":"post","link":"https:\/\/laveshsumant.com\/index.php\/2023\/03\/04\/sgs-d-tech-cargo-scanning-application\/","title":{"rendered":"Smart Scanning Solutions & SGS D-TECT"},"content":{"rendered":"\n

Redesigning a Mission-Critical Border Security System for Cargo Image Analysis Solution For Ports & Customs<\/p>\n\n\n\n

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Executive Summary<\/h3>\n\n\n\n
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Business problem<\/strong><\/h5>\n\n\n\n
<\/div>\n\n\n\n

SGS operates a mission-critical cargo scanning platform used by border authorities to inspect containers and vehicles for illegal and regulated goods. The legacy WPF-based application had grown functionally dense over time, resulting in fragmented workflows, high cognitive load for inspectors, and limited scalability to support AI-assisted detection and increasing parcel volumes.<\/p>\n\n\n\n

<\/div>\n\n\n\n
Strategic UX opportunity<\/strong><\/h5>\n\n\n\n
<\/div>\n\n\n\n

The opportunity was not visual modernisation alone\u2014but to re-architect decision-making workflows<\/strong>, improve inspection accuracy, and prepare the platform for automation, AI-assisted adjudication, and cross-device usage<\/strong> while maintaining strict regulatory compliance.<\/p>\n\n\n\n

<\/div>\n\n\n\n
My role & leadership<\/strong><\/h5>\n\n\n\n
<\/div>\n\n\n\n

I led UX strategy and design end-to-end, acting as the bridge between operations, compliance, engineering, and AI teams<\/strong>. I owned experience vision, research direction, prioritisation decisions, and design validation\u2014beyond screen-level execution.<\/p>\n\n\n\n

<\/div>\n\n\n\n
High-level impact<\/strong><\/h5>\n\n\n\n
<\/div>\n\n\n\n
    \n
  • Reduced inspection friction and navigation complexity<\/li>\n\n\n\n
  • Improved clarity and confidence in image-based adjudication<\/li>\n\n\n\n
  • Enabled future AI-driven detection workflows<\/li>\n\n\n\n
  • Established a scalable, enterprise-grade design foundation across regions and languages<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
    \n
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    Business Problem & Market Context<\/h3>\n\n\n\n
    <\/div>\n\n\n\n
    \n
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    Border security inspection systems operate under extreme constraints<\/strong>:<\/p>\n\n\n\n

      \n
    • High-risk, high-consequence decisions<\/li>\n\n\n\n
    • Strict legal and regulatory mandates<\/li>\n\n\n\n
    • Increasing cargo and parcel volumes<\/li>\n\n\n\n
    • Diverse user maturity across geographies<\/li>\n<\/ul>\n<\/div>\n\n\n\n
      \n

      The existing D-Tech application:<\/p>\n\n\n\n

        \n
      • Was desktop-heavy and visually dense<\/li>\n\n\n\n
      • Required inspectors to mentally stitch together data across multiple modules<\/li>\n\n\n\n
      • Offered limited support for prioritisation, alerts, or anomaly recognition<\/li>\n\n\n\n
      • Was not optimised for AI-assisted workflows or multi-device expansion<\/li>\n<\/ul>\n<\/div>\n\n\n\n
        \n

        From a business perspective, this directly impacted:<\/p>\n\n\n\n

          \n
        • Operational throughput<\/strong><\/li>\n\n\n\n
        • Accuracy of risk adjudication<\/strong><\/li>\n\n\n\n
        • Adoption of advanced scanning and AI capabilities<\/strong><\/li>\n\n\n\n
        • Perceived value of SGS as a strategic technology partner to governments<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
          \n
          \n

          UX Strategy & Design Vision<\/h3>\n\n\n\n
          <\/div>\n\n\n\n
          Product vision<\/h5>\n\n\n\n

          Create a decision-centric inspection platform that enables inspectors to move faster without sacrificing accuracy<\/em>, while giving supervisors and authorities greater visibility, control, and trust.<\/strong><\/p>\n\n\n\n

          <\/div>\n\n\n\n
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          Experience principles<\/h5>\n\n\n\n
            \n
          • Clarity over density<\/strong> \u2013 reduce cognitive load in high-risk contexts<\/strong><\/li>\n\n\n\n
          • Workflow before features \u2013 align UX to real inspection behaviour<\/strong><\/li>\n\n\n\n
          • Explainability over automation<\/strong> \u2013 AI must support, not replace, human judgment<\/strong><\/li>\n\n\n\n
          • Enterprise scalability<\/strong> \u2013 multi-site, multi-language, multi-device by default<\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n
            \n
            Success metrics<\/h5>\n\n\n\n
              \n
            • Reduced the time to adjudicate a scan<\/strong><\/li>\n\n\n\n
            • Fewer navigation steps per inspection task<\/strong><\/li>\n\n\n\n
            • Improved inspector confidence (qualitative)<\/strong><\/li>\n\n\n\n
            • Increased adoption of advanced scanning features<\/strong><\/li>\n\n\n\n
            • Readiness for AI-assisted detection rollouts<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
              <\/div>\n\n\n\n
              Key assumptions & hypotheses<\/h5>\n\n\n\n
                \n
              • Inspectors trust systems that explain risk<\/em>, not just flag it<\/strong><\/li>\n\n\n\n
              • Resistance to change is driven by workflow disruption, not technology fear<\/strong><\/li>\n\n\n\n
              • Faster decisions come from better prioritisation, not more data<\/strong><\/li>\n\n\n\n
              • AI adoption depends on transparency and ease of override<\/strong><\/li>\n<\/ul>\n\n\n\n

                These assumptions were explicitly mapped and prioritised using a risk vs. uncertainty matrix to focus validation efforts where failure would be most costly.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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                \"\"<\/figure>\n<\/div>\n<\/div>\n\n\n\n
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                User Research & Insights<\/h3>\n\n\n\n
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                Research methods<\/h5>\n\n\n\n
                  \n
                • Contextual interviews with inspectors and supervisors<\/li>\n\n\n\n
                • Task-based evaluations of the existing system<\/li>\n\n\n\n
                • Workflow walkthroughs using real inspection scenarios<\/li>\n\n\n\n
                • Assumption validation workshops with SMEs and operations leads<\/li>\n<\/ul>\n\n\n\n
                  <\/div>\n\n\n\n
                  Key user groups<\/h5>\n\n\n\n
                    \n
                  • Scanning Inspectors<\/strong> \u2013 frontline decision-makers under time pressure<\/li>\n\n\n\n
                  • Supervisors<\/strong> \u2013 oversight, escalation, and performance monitoring<\/li>\n\n\n\n
                  • Operations & Compliance Managers<\/strong> \u2013 system governance and reporting<\/li>\n<\/ul>\n\n\n\n
                    <\/div>\n\n\n\n
                    Critical insights<\/h5>\n\n\n\n
                      \n
                    • Inspectors relied heavily on pattern recognition<\/strong> developed over the years, not system guidance<\/li>\n\n\n\n
                    • Image analysis required frequent context switching between views, metadata, and declarations<\/li>\n\n\n\n
                    • Alerts lacked prioritisation, leading to manual triage<\/li>\n\n\n\n
                    • Language and digital fluency varied significantly by region<\/li>\n<\/ul>\n\n\n\n

                      These insights fundamentally shaped information architecture, alerting logic, and interaction design<\/strong>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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                      <\/p>\n\n\n\n

                      \"\"\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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                      Experience Architecture & Journey Design<\/h3>\n\n\n\n
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                      Journey highlights<\/h5>\n\n\n\n

                      The redesigned journey focused on:<\/p>\n\n\n\n

                        \n
                      • Entry through priority-driven dashboards<\/strong><\/li>\n\n\n\n
                      • Clear separation between scan review, declaration data, and actions<\/strong><\/li>\n\n\n\n
                      • Reduced back-and-forth navigation during adjudication<\/li>\n<\/ul>\n\n\n\n
                        <\/div>\n\n\n\n
                        Key friction points addressed<\/h5>\n\n\n\n
                          \n
                        • Fragmented image review workflows<\/li>\n\n\n\n
                        • Overloaded dashboards without an actionable hierarchy<\/li>\n\n\n\n
                        • Deep, nested navigation paths<\/li>\n\n\n\n
                        • Inconsistent mental models across modules<\/li>\n<\/ul>\n\n\n\n
                          <\/div>\n\n\n\n
                          Information architecture decisions<\/h5>\n\n\n\n
                            \n
                          • Grouped features by inspection intent<\/strong>, not system ownership<\/li>\n\n\n\n
                          • Elevated high-risk scans through visual and structural prioritisation<\/li>\n\n\n\n
                          • Introduced progressive disclosure for complex datasets<\/li>\n<\/ul>\n\n\n\n

                            Every IA decision balanced speed, safety, and explainability<\/strong>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

                            \n
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                            <\/h1><\/div><\/div><\/div><\/figure>\n<\/div>\n\n\n\n
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                            Design Execution<\/h3>\n\n\n\n
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                            Interaction & visual approach<\/h5>\n\n\n\n
                              \n
                            • Dark, low-glare UI optimised for prolonged image analysis<\/li>\n\n\n\n
                            • Strong visual hierarchy to guide attention in high-risk contexts<\/li>\n\n\n\n
                            • Clear affordances for inspection, escalation, and override actions<\/li>\n<\/ul>\n<\/div>\n\n\n\n
                              \n
                              Component & design system strategy<\/h5>\n\n\n\n
                                \n
                              • Modular component library designed for WPF constraints<\/li>\n\n\n\n
                              • Reusable patterns across dashboards, modals, and data tables<\/li>\n\n\n\n
                              • Consistent behaviour across desktop, tablet, and responsive web<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
                                <\/div>\n\n\n\n
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                                Accessibility & scalability<\/h5>\n\n\n\n
                                  \n
                                • Colour contrast optimised for scan imagery<\/li>\n\n\n\n
                                • Language-agnostic layouts for localisation<\/li>\n\n\n\n
                                • Designed for future mobile and tablet inspection use cases<\/li>\n<\/ul>\n<\/div>\n\n\n\n
                                  \n
                                  Cross-functional collaboration<\/h5>\n\n\n\n
                                    \n
                                  • Continuous alignment with engineering on WPF feasibility<\/li>\n\n\n\n
                                  • Close collaboration with AI teams to support explainable detection<\/li>\n\n\n\n
                                  • Regular reviews with compliance stakeholders to ensure regulatory fit<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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                                    Validation & Iteration<\/h3>\n\n\n\n
                                    <\/div>\n\n\n\n
                                    Testing approach<\/h5>\n\n\n\n
                                      \n
                                    • Task-based usability testing with inspectors<\/li>\n\n\n\n
                                    • Scenario walkthroughs using real cargo scans<\/li>\n\n\n\n
                                    • Iterative validation of alerting, navigation, and data density<\/li>\n<\/ul>\n\n\n\n
                                      <\/div>\n\n\n\n
                                      Key iteration outcomes<\/h5>\n\n\n\n
                                        \n
                                      • Simplified decision paths for high-risk parcels<\/li>\n\n\n\n
                                      • Improved clarity in image-to-data relationships<\/li>\n\n\n\n
                                      • Reduced ambiguity in system feedback and status indicators<\/li>\n<\/ul>\n\n\n\n
                                        <\/div>\n\n\n\n

                                        Design was used as a risk-mitigation tool<\/strong>, not just a delivery mechanism.<\/p>\n<\/div>\n<\/div>\n\n\n\n

                                        \n
                                        \n

                                        Business Impact & Measurable Outcomes<\/h3>\n\n\n\n
                                        <\/div>\n\n\n\n
                                        \n
                                        \n
                                        Quantitative outcomes<\/h5>\n\n\n\n
                                          \n
                                        • Reduced inspection steps per task<\/strong><\/li>\n\n\n\n
                                        • Faster scan review and adjudication cycles<\/strong><\/li>\n\n\n\n
                                        • Improved operational readiness for AI-assisted workflows<\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n
                                          \n
                                          Qualitative outcomes<\/h5>\n\n\n\n
                                            \n
                                          • Increased inspector confidence and trust<\/strong><\/li>\n\n\n\n
                                          • Clearer accountability and oversight for supervisors<\/strong><\/li>\n\n\n\n
                                          • Stronger positioning of SGS as a long-term digital partner<\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n
                                            \n
                                            Strategic influence<\/h5>\n\n\n\n

                                            UX insights directly influenced:<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Feature prioritisation<\/strong><\/li>\n\n\n\n
                                            • AI roadmap decisions<\/strong><\/li>\n\n\n\n
                                            • Cross-device strategy<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
                                              \n
                                              \n

                                              Leadership & Influence<\/h3>\n\n\n\n
                                              <\/div>\n\n\n\n
                                                \n
                                              • Acted as experience owner<\/strong> across a 14-member cross-functional team<\/li>\n\n\n\n
                                              • Facilitated alignment between global stakeholders and regional operations<\/li>\n\n\n\n
                                              • Mentored designers on enterprise UX and regulated-industry thinking<\/li>\n\n\n\n
                                              • Drove strategic conversations beyond UI into process, policy, and automation<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
                                                \n
                                                \n

                                                Challenges & Trade-offs<\/h3>\n\n\n\n
                                                <\/div>\n\n\n\n
                                                  \n
                                                • Balancing innovation with regulatory conservatism<\/li>\n\n\n\n
                                                • Designing for varied digital maturity across regions<\/li>\n\n\n\n
                                                • Working within WPF technical constraints while planning for future platforms<\/li>\n<\/ul>\n\n\n\n

                                                  Each trade-off was explicitly documented and communicated to stakeholders.<\/p>\n<\/div>\n<\/div>\n\n\n\n

                                                  \n
                                                  \n

                                                  Key Learnings & Reflection<\/h3>\n\n\n\n
                                                  <\/div>\n\n\n\n
                                                    \n
                                                  • Trust is the core currency in regulated systems<\/strong><\/li>\n\n\n\n
                                                  • AI succeeds only when humans remain in control<\/strong><\/li>\n\n\n\n
                                                  • UX leadership is about reducing organisational uncertainty, not just user friction<\/strong><\/li>\n<\/ul>\n\n\n\n

                                                    This project reinforced my belief that enterprise UX is a strategic discipline, not a delivery function.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

                                                    \n
                                                    \n

                                                    Summary<\/h2>\n\n\n\n
                                                      \n
                                                    • Led UX strategy for a mission-critical border security platform<\/strong><\/li>\n\n\n\n
                                                    • Transformed fragmented workflows into decision-centric experiences<\/strong><\/li>\n\n\n\n
                                                    • Balanced compliance, AI readiness, and usability at a global scale<\/strong><\/li>\n\n\n\n
                                                    • Influenced product direction beyond UI execution<\/strong><\/li>\n\n\n\n
                                                    • Delivered measurable operational and confidence gains<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
                                                      <\/div>\n","protected":false},"excerpt":{"rendered":"

                                                      Redesigning a Mission-Critical Border Security System for Cargo Image Analysis Solution For Ports & Customs<\/p>\n","protected":false},"author":1,"featured_media":6297,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[91,89],"tags":[],"class_list":["post-4979","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-work","category-web-app"],"_links":{"self":[{"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/posts\/4979","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/comments?post=4979"}],"version-history":[{"count":48,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/posts\/4979\/revisions"}],"predecessor-version":[{"id":6939,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/posts\/4979\/revisions\/6939"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/media\/6297"}],"wp:attachment":[{"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/media?parent=4979"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/categories?post=4979"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/laveshsumant.com\/index.php\/wp-json\/wp\/v2\/tags?post=4979"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}