ASC Engineered Solutions achieves 10 ppt forecast accuracy gain and 15% inventory reduction with Blue Yonder
ASC Engineered Solutions' demand planning team lacked accurate forecasting capabilities, leaving the company exposed to stockouts and low inventory alerts, while inefficiencies in distribution management and an inadequate safety stock strategy threatened its reputation for availability and reliability.
In the first year, ASC achieved a 10 ppt increase in forecast accuracy, a 15% reduction in inventory, and a 15 ppt increase in on time in full performance, while reducing expenditures by 5% annually through dynamic inventory rebalancing.
Frequently asked questions
What did this team achieve with this AI workflow?
In the first year, ASC achieved a 10 ppt increase in forecast accuracy, a 15% reduction in inventory, and a 15 ppt increase in on time in full performance, while reducing expenditures by 5% annually through dynamic in…
What tools did this team use?
Blue Yonder, Blue Yonder Inventory Optimization, Blue Yonder Platform, Snowflake.
What results were reported?
Forecast accuracy: 10 ppt increase; Inventory reduction: 15%; On time in full performance: 15 ppt increase; Annual expenditure reduction: 5% annually (source-reported, not independently verified).
How is this supply chain AI workflow structured?
Sales history ingestion → Demand pattern analysis → S&OP process support → Dynamic inventory rebalancing → Snowflake data lake integration → Exception management dashboards.