Modern manufacturing supply chains are becoming increasingly complex. With hundreds of suppliers, multiple business systems, and constantly changing production demands, manufacturers often struggle to identify potential disruptions before they affect operations. Even with ERP, MES, and WMS in place, fragmented data, manual risk checks, and limited supplier visibility can lead to delayed deliveries, excess inventory, and costly last-minute interventions.
How can manufacturers detect supply chain risks earlier, make better decisions, and respond before disruptions escalate?
Join this webinar to explore how FineBI + Dora bring data visibility and AI-powered intelligence into supply chain management. Through a real-world case study, we'll examine how manufacturers can improve delivery reliability, identify inventory risks, and strengthen supplier visibility. You'll also discover a practical framework for applying AI to supply chain operations, turning data and insights into measurable business improvements.
Explore common supply chain challenges, including fragmented data, delayed risk detection, inventory imbalances, and manual exception handling. Learn how FineBI + Dora support a more proactive approach to supply chain monitoring, risk analysis, and operational decision-making.
Discover how VOYAH Automotive uses supply chain monitoring, automated alerts, and AI-assisted analysis to identify potential delivery issues earlier. See how connected data and exception workflows help teams prioritize risks, coordinate responses, and reduce urgent material expediting.
Learn how AI helps identify slow-moving inventory, investigate underlying causes, and recommend corrective actions. Explore how improved visibility into supplier operations and material availability supports better inventory decisions and reduces supply chain uncertainty.
See the measurable results of VOYAH's supply chain transformation, including faster risk identification, fewer urgent material expedites, and reduced inventory levels. Take away a practical framework for connecting trusted data, BI monitoring, AI-powered analysis, and business workflows to improve supply chain resilience.
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Instructor Profile

Yida YIN
Manufacturing Solution Engineer
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DATE
Wednesday, November 25, 2026
TIME
9:00 pm - 10:00 pm GMT+8
Zoom
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