Case Studies (Redacted)
Each case study follows the same structure: decision bottleneck → governed autonomy loop → measurable outcomes.
Retail | Pricing & Inventory | Daily Margin Decisions
The Challenge: Fragmented signals and manual approvals created slow, inconsistent pricing and replenishment decisions.
The MIZ OKI Loop: SENSE demand + supply signals → REASON on causal drivers → DECIDE action by confidence and margin risk → ACT with approval thresholds → LEARN from realized sell-through.
Results (typical): Decision latency ↓ 50×, leakage ↓ 20–30%, payback ~3 months.
Supply Chain | Disruption Response | Hourly Exception Handling
The Challenge: Bottlenecks surfaced too late, and responses were reactive with poor traceability.
The MIZ OKI Loop: SENSE operational signals → REASON on constraint propagation → DECIDE mitigation options → ACT via policy routing → LEARN from resolution outcomes.
Results (typical): Operational cost ↓ 22–41%, fewer escalations, improved throughput stability.
Finance | Risk Exposure | Scenario-Based Decisions
The Challenge: Risk teams lacked speed under volatility and needed defensible traces for decisions.
The MIZ OKI Loop: SENSE market + portfolio signals → REASON across causal exposures → DECIDE by confidence & drawdown constraints → ACT with gated execution → LEARN from realized outcomes.
Results (typical): Faster risk response, consistent decision policy enforcement, clear auditability.
Case Study Template (Reusable)
Industry | Decision scope → The decision bottleneck → How MIZ OKI ran the loop → Results (ranges) → Governance controls.
Enterprise case studies often require anonymization. The key is repeatability: the loop stays constant and outcomes remain measurable.