Identifying Supply Chain Use Cases That Actually Create Value

• Which AI-enabled supply chain use cases are genuinely worth pursuing first — for example demand forecasting, yield optimisation, inventory allocation or price optimisation
• How leaders distinguish attractive ideas from initiatives that genuinely justify investment, particularly under service, cost and working capital pressure
• What data foundations are actually required to make these use cases work in practice, and where ERP, integration or data-quality constraints quietly rule options in or out
• How organisations are sequencing initiatives so early projects compound value rather than creating technical debt or implementation bottlenecks later
• What signals indicate a team is ready to move from exploration to execution, and what the next practical steps tend to look like