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Analytics · Freight Forwarders

Shipment visibility and milestone analytics

A forwarder unified milestone data from carriers and portals so status, delays, and exceptions sat in one place.

Microsoft FabricPower BIAzure Data FactorySemantic model
Visibility
End to end
one view
Exceptions
Early
before delivery
Carriers
Ocean and air
unified
Update latency
Near real time
from feeds

Illustrative scenario · example figures

The challenge

Shipment status lived in carrier portals, EDI feeds, and email, so customers called for updates the team had to assemble by hand and exceptions surfaced too late to act.

What we built

We consolidated milestone events from ocean and air carriers over EDI and API into one model that tracks every shipment against its plan and flags exceptions early.

  • Milestone data from carriers unified over EDI and API.
  • Planned-versus-actual tracking per shipment with exception flags.
  • Dwell and delay analysis by lane, carrier, and port.

Outcomes

  • Status sits in one place instead of across several portals.
  • Exceptions are caught early instead of at delivery.
  • Delay patterns by lane and carrier are addressed with data.

Where the data came from

Ocean carrier EDIAir and tracking APIsTMSPort reference data

Data is drawn from the systems the operation already runs on and delivered in the client’s own tenant.

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