Supply chain visibility that helps you act before problems escalate

Use intelligent digital twins to see how goods, assets, and constraints move across your supply chain—so you can anticipate congestion, protect service levels, and coordinate decisions across the network.

Why "visibility" still feels reactive

Most supply chains have more data than ever—but less confidence in what will happen next. Traditional visibility tools answer "Where is it?" Modern operations need answers to "What's about to break—and what should we do?"

What's limiting visibility

  • Data spread across WMS, TMS, yard, and partner systems
  • Dashboards that show what already happened
  • Delays and congestion discovered too late to prevent impact
  • Decisions made locally that create downstream problems
  • Control towers that inform—but don't guide action

The predictive approach

  • Model how the network actually behaves under constraints
  • Predict congestion and delay before it materializes
  • Coordinate decisions across the entire supply chain
  • Take action before problems escalate
  • Balance service levels with operational efficiency

From tracking to understanding flow

This solution applies the intelligent digital twin model to a specific operational challenge. For a full explanation of the model itself, see: What is an Intelligent Digital Twin →

Rather than defining the digital twin model itself, supply chain visibility applies it to network flow, congestion, and coordination challenges.

With intelligent digital twins, supply chain visibility becomes a living model of how the network actually behaves.

An intelligent digital twin:

  • Represents warehouses, yards, terminals, routes, and handoffs
  • Models constraints such as labor, equipment, space, and schedules
  • Learns how variability affects flow and service
  • Predicts congestion and delay before it materializes

This shifts teams from reacting to events to actively managing flow across the system.

A practical, repeatable flow

1. Connect existing systems

Ingest data from WMS, TMS, YMS, IoT, telematics, and partner feeds.

2. Model the network

Create a digital representation of nodes, routes, capacities, and constraints.

3. Monitor flow in context

See not just status—but how conditions are evolving across the network.

4. Predict disruptions

Identify where congestion, delay, or service risk is likely to occur.

5. Coordinate action

Evaluate alternatives and align decisions across sites and teams.

Where supply chain visibility delivers the most value

Warehouse & yard visibility

Prevent local congestion from spreading.

  • Predict dock, yard, or labor constraints
  • Adjust sequencing and appointments proactively
  • Reduce dwell time and last-minute firefighting

Port & terminal operations

Protect throughput in complex environments.

  • Anticipate congestion at berths, gates, or storage areas
  • Test operational changes virtually
  • Improve coordination across stakeholders

Network-level flow visibility

See the system—not just individual sites.

  • Understand how delays propagate downstream
  • Balance cost, speed, and service across routes
  • Improve end-to-end predictability

Disruption & scenario planning

Prepare for variability.

  • Simulate demand spikes, weather events, or labor shortages
  • Evaluate mitigation strategies safely
  • Improve resilience without guesswork

Used across operations, not just analysts

Control tower & operations teams

  • Monitor network health in near real time
  • Spot emerging risks to OTIF early
  • Coordinate actions across sites

Warehouse & yard managers

  • See where congestion is building
  • Adjust staffing, sequencing, or appointments proactively
  • Reduce last-minute disruptions

Network planners & analysts

  • Test routing, capacity, and policy changes
  • Understand trade-offs between cost and service
  • Support data-driven network improvement

What teams typically achieve

Outcomes depend on network complexity, but teams often target:

Improved
OTIF and service reliability
Reduced
dwell time at critical nodes
Better
network predictability
  • Fewer last-minute schedule changes and expediting
  • Better utilization of labor, space, and equipment

The biggest gains come from acting before queues and delays form.

Start with one node or flow. Prove value. Scale.

1. Start

Choose a congested warehouse, busy yard, terminal, or critical route.

2. Prove

Validate predictions and interventions using real operational data.

3. Scale

Extend visibility across additional sites, partners, and scenarios.

How the platform supports scale →

Common questions about supply chain visibility

Is this just another control tower?
No. Control towers focus on monitoring. Intelligent digital twins add prediction, simulation, and guidance.
Do we need perfect partner data?
No. Many teams start with partial data and improve coverage as value is demonstrated.
Will this replace our WMS or TMS?
No. Supply chain visibility layers on top of existing systems to improve decision quality.
How quickly can we see value?
Focused use cases often deliver early insight within weeks.
Is this only for large networks?
No. Digital twins are used for single sites as well as complex, multi-node networks.

See disruptions before they disrupt your supply chain

Start with one visibility challenge—and build from there.