logistics_ops · logistics · workflow
project44 Ocean Visibility tracks Maersk containers with ML-powered predictive ETAs
Supply chain teams lack real-time visibility into container shipments and cannot proactively identify delays, trans-shipment stalls, or detention and demurrage fee exposure across carriers and forwarders.
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 · Container number input
Users track Maersk containers by submitting an MBL / BL Number or Container Number.
Tools used
Ocean Visibilitymachine learning algorithms
Outcome
(not stated)
Grounding & classification
Source type: generic use case
12 fields verified against source quotes.
anomaly detectionpredictive analyticstools describedworkflow describedlogisticsgeneric use caselogistics opssupply chainmonitor detect alert