sales_ops · logistics · workflow
Blue Yonder demand forecasting helps Tallink improve passenger utilization by up to 8%
Tallink needed to prioritize everyday operational work to focus on the most important revenue opportunities while managing departure performance and identifying new trends.
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 · Business rules prioritize departures
Flexible business rules enable Tallink to keep departures selling as expected while focusing on new trends that need more attention to boost revenues.
Tools used
Blue Yonder
Outcome
Since implementation, Tallink improved utilization and increased passenger numbers by up to 8%, improved demand forecast accuracy to enable proactive decision-making, and gained deeper demand visibility to better manage staffing, replenishment, and supply chain needs.
Results
Volumeup to 8%
Cost replacedincreases in passenger numbers and revenues
Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
forecastingpredictive analyticsmetric backednamed customerproduction runtime claimedtools describedworkflow describedtravelaccuracy improvementemployee productivityrevenue increasethroughput increasevendor customer storysales opssupply chainmonitor detect alert