Common choices include OTD/OTIF, throughput, average lead time, WIP, overtime hours, and total setup minutes per week. Tracking these before and after deployment shows the concrete impact of production scheduling AI on your factory. Many teams also monitor soft KPIs such as planner workload and schedule stability, which, while harder to monetise, further strengthen the overall ROI of AI-driven production scheduling.
