Logistics ops · Production
Prinsel cuts average fulfillment time from two hours to 45 minutes with Blue Yonder warehouse management
The problem
Prinsel relied on manual, paper-based warehouse processes that left aisles blocked, made products hard to locate, and caused shipments to miss order deadlines.
Workflow diagram · grounded in source
1
Real-time data ingestion
ai_action
“Artificial intelligence engines in Blue Yonder warehouse management ingest real-time data from customers and partners”
2
Strategic response synchronization
ai_action
“then synchronize a strategic response that maximizes outcomes across the extended supply chain”
3
Automated storage and retrieval
output
“Blue Yonder is automating the storage and retrieval of products”
Reported outcome
Blue Yonder reduced Prinsel's average fulfillment time from two hours to 45 minutes and positions the company to scale omni-channel logistics without limits.
Reported metrics
Average fulfillment timefrom two hours to 45 minutes
Reported stack
Blue Yonder
Frequently asked questions
What did this team achieve with this AI workflow?
Blue Yonder reduced Prinsel's average fulfillment time from two hours to 45 minutes and positions the company to scale omni-channel logistics without limits.
What tools did this team use?
Blue Yonder.
What results were reported?
Average fulfillment time: from two hours to 45 minutes (source-reported, not independently verified).
How is this logistics ops AI workflow structured?
Real-time data ingestion → Strategic response synchronization → Automated storage and retrieval.