Strategic Simulation Trainer

Practice executive alignment, stakeholder discovery, and strategic decision-making against AI-run counterparts.

Scenario Setup

Paste any strategic scenario and define the trainee seat.

Scenario

Strategic Decision in AI-Driven Supply Chain Transformation

GlobalGoods, a global consumer goods company, is embarking on an AI-driven supply chain transformation to address inefficiencies, reduce costs, and improve customer satisfaction. The executive team must choose between:

Option A: Comprehensive End-to-End AI Transformation. This approach overhauls demand forecasting, inventory optimization, and logistics planning. It requires significant upfront investment in data infrastructure, AI platforms, and change management, but promises a 25% reduction in supply chain costs and a 15% improvement in customer satisfaction over three years. It carries higher risks including delays, employee resistance, training needs, and governance complexity.

Option B: Incremental AI Implementation. This approach focuses on smaller targeted AI projects, such as automating demand forecasting or optimizing transportation routes. It requires less upfront investment and delivers quicker wins, such as an 8-10% logistics cost reduction in the first year. It may not address root causes or create long-term differentiation.

Key executives:

Laura, CEO. Laura wants GlobalGoods to become an industry leader through innovation. She favors the comprehensive transformation but is concerned about execution risk, reputational damage, and stakeholder confidence. She requires a roadmap with milestones and contingency plans.

Mark, CFO. Mark is focused on cost control and ROI. He favors incremental implementation because it requires less capital and delivers quicker savings. He requires detailed financial projections and a phased implementation plan.

James, Chief Supply Chain Officer. James supports comprehensive transformation because it addresses root causes and future-proofs operations, but he worries about disruption. He requires operational compatibility, scalability, and a phased rollout.

Emily, CTO. Emily strongly supports comprehensive transformation because it modernizes the tech stack and addresses technical debt. She worries incremental projects will create fragmented systems. She requires funding for technology upgrades, data quality, and integration.

Sarah, CMO. Sarah supports comprehensive transformation because it can improve delivery times, reduce stockouts, and strengthen customer satisfaction. She requires transparent customer communication and safeguards against brand damage.

Ready

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