Impact analysis of 500K+ policy decisions affecting Amazon sellers
Incorrect policy decisions at scale create significant seller experience issues and brand value impact. Without systematic analysis, the true scope and impact remains invisible to stakeholders.
Comprehensive analysis of 500K+ decisions using SQL queries generated by AI chat agents (Sonnet 4-based). AWS QuickSuite dashboards quantify seller experience and brand value impact.
Comprehensive business transformation framework combining policy decisions, quality controls, and business outcomes. Multi-dimensional assessment (quality, efficiency, experience, cost) with AI-powered insights.
Phase 1: Data Integration - Combined policy decisions, quality audits, seller feedback, operational metrics across business functions
Phase 2: Analysis Engine - Multi-dimensional assessment framework measuring quality, efficiency, seller experience, and cost impact
Phase 3: AI Knowledge Layer - Custom AI chat agents (Sonnet 4-based) for SQL query generation and stakeholder enablement
Phase 4: Business Impact - Executive dashboards with ROI quantification, seller experience metrics, process optimization insights
Phase 5: Validation - Multi-stakeholder validation process and credible business case development with leadership buy-in
Transferable skills and capabilities beyond the technical implementation
Connected technical analysis (500K+ decisions) to strategic outcomes (seller experience, brand value). Quality improvements translated to competitive advantage and measurable cost reductions.
Manual analysis couldn't identify patterns across 500K+ decisions. Built AI-powered systematic analysis with persistent learning systems for ongoing organizational capability building.
Data scattered across policy, operations, finance, customer experience. Built comprehensive data integration layer. Multi-dimensional assessment created more compelling business cases.
Complex impact quantification across multiple dimensions. Developed business case with clear ROI validated through multi-stakeholder process. Credibility requires validation from all perspectives.