supply_chain · manufacturing · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Sales history ingestion
The demand planning team leverages precise forecasting based on sales history.
Tools used
Blue YonderBlue Yonder Inventory OptimizationBlue Yonder PlatformSnowflake · partner
Outcome
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.
Results
Time saved15 ppt increase
Volume10 ppt increase
Grounding & classification
Source type: vendor customer story
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forecastingpredictive analyticsknowledge basemetric backednamed customerproduction runtime claimedtools describedworkflow describedmanufacturingaccuracy improvementcost reductionemployee productivitythroughput increasevendor customer storyprocurementsupply chaindata sync enrichmentmonitor detect alert