$50B+ manufacturer reduces potential stockouts by 36% with Ikigai demand forecasting
A large industrial manufacturer's customers frequently placed large orders with insufficient lead time, forcing a costly choice between delayed delivery that risked customer relationships and expensive expedited air freight that hurt margins. Historical order data was sparse and the company had no systematic forecasting capability — only human intuition.
Ikigai's Demand Forecasting solution delivered a 36% reduction in potential stockouts and provided 2 months of advance visibility into future customer orders, enabling proactive inventory planning.
Frequently asked questions
What did this team achieve with this AI workflow?
Ikigai's Demand Forecasting solution delivered a 36% reduction in potential stockouts and provided 2 months of advance visibility into future customer orders, enabling proactive inventory planning.
What tools did this team use?
Ikigai, aiCast.
What results were reported?
Potential stockouts: 36%; Advance visibility into future customer orders: 2 months (source-reported, not independently verified).
How is this supply chain AI workflow structured?
Customer-level demand forecasting → Proactive sales team alerts → Traceability and auditability.