Global Movement

Tracking Data Source Transparency

Every tracking event shows its origin and confidence level, with a clear source and sub-source label displayed for each event.
Tracy
Primary Agent
Tracy
Shipment Twin
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Tracking Data Source Transparency

What we deliver

The Problem (Before)

When an operations team sees a tracking event, they have no way to know where it originated or how reliable it is. This creates doubt in data accuracy and drives unnecessary support calls.

Who feels this:

Transportation Manager, Logistics Manager, Tracking Support Analyst

The Outcome (After)

Every tracking event is labeled with where it came from and how reliable it is, so operations teams can trust each update at a glance and see when a higher-quality source takes over.

What makes this different:

Other platforms show a tracking event without telling you where it came from. FourKites attributes every event to its source and sub-source for instant reliability assessment.

Tracy
Primary Agent

Tracy

Monitors every shipment. Detects delays before they escalate. Contacts carriers automatically. Updates stakeholders. The agent that never sleeps on your freight.
75%
autonomous resolution
4,000+
calls eliminated/month

How it works

The building blocks behind this outcome.
What Happens

Source labels with sub-sources displayed for each tracking event. Automatic tracking reference reversion when higher-quality sources resume.

The Intelligence Behind It

Source reliability scores by carrier and forwarder

Data freshness benchmarks by source type

Conflict frequency patterns across source combinations

This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years.

Why This Cannot Be Replicated

Other platforms show a tracking event without telling you where it came from. FourKites attributes every event to its source and sub-source for instant reliability assessment. The intelligence layer is what creates the gap. Building the basic capability is straightforward. Building it on top of 11 years of cross-company global movement intelligence is what cannot be replicated with software alone.

Digital Twins

Shipment Twin

Loft

Tracy executes the workflow. Every action recorded with full decision trace.

FourKites Graph

Cross-company movement intelligence powering every decision

FourSight AI

FourSight AI: "What percentage of Ocean events came from carrier vs. AIS inference?"; Custom Insights: Data source distribution dashboards by mode

Communication and Document Automation

Tracking Data Source Transparency is one outcome in a broader transformation. When deployed alongside these outcomes, your every stakeholder receives the right information at the right time through the right channel. Tracy handles carrier communication. Cassie handles customer notifications.
  • Intelligent Multi-Channel Notifications
  • Automated POD and Document Collection
  • Centralized Shipping Document Management
  • One-Click External Shipment Sharing
  • Network Partner Inbound Visibility

Validation

Deployment Evidence

Live in enterprise production for air shipments, giving teams a clear, trusted view of where each tracking event originated, with source transparency expanding across ocean and truckload.

Expected Impact Range

Far less time spent troubleshooting questionable tracking updates, with fewer support calls and greater confidence in the data.

Related outcomes

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Predictive Truckload Arrival Intelligence

Every truckload shipment tracked in real time with ML-powered ETAs that improve every day.

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LTL and Parcel Delivery Assurance

LTL and parcel unified under one tracking view regardless of carrier.

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Mission-Critical FedEx Visibility

FedEx visibility elevated to mission-critical grade through exclusive direct integration. Exclusive "FedEx Network" - Probability to Recover value that's a holistic network derived probability indicator for "recovery" of a late shipment. An earlier validator to focus on recovery as shipment will be late.

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One billion hours of operational work completed by AI agents over the next decade.

The supply chains that adopt autonomous execution in the next 24 months will define the competitive standard for the next decade. The ones that do not will spend that decade trying to catch up.
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