Site Intelligence

Demand-Driven Yard Planning

A compliance agent flags incomplete or sub-120-second task completions and captures unplanned moves (shuttle, OTR assist, inter-site), surfacing per-spotter compliance in a weekly scorecard. A staffing agent combines historical moves-per-hour with forward-looking Dynamic Yard task volume and Appointment Manager demand to recommend per-shift headcount for ops review.
Yard Twin
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Demand-Driven Yard Planning

What we deliver

The Problem (Before)

Without clean data, staffing stays on fixed shift schedules built on gut feel — not actual demand. The data to right-size spotter teams already exists in Dynamic Yard and Appointment Manager. It's just never been combined into a forward-looking plan.

Who feels this:

Warehouse & Logistics Manager, Facility Manager, Dock Supervisor

The Outcome (After)

A compliance agent flags incomplete or sub-120-second task completions and captures unplanned moves (shuttle, OTR assist, inter-site), surfacing per-spotter compliance in a weekly scorecard. A staffing agent combines historical moves-per-hour with forward-looking Dynamic Yard task volume and Appointment Manager demand to recommend per-shift headcount for ops review.

What makes this different:

Fixed shift schedules are set on gut feel, not demand. FourKites uniquely combines yard task-compliance data with appointment volume and network benchmarks to produce a data-driven staffing recommendation — replacing experience-based headcount calls with evidence-based ones.

How it works

The building blocks behind this outcome.
What Happens

Dynamic Yard tracks task step-through compliance, flags sub-120-second completions, and logs previously untracked moves (shuttle, OTR assist, inter-site) as a separate category. A staffing agent combines historical moves-per-hour with forward-looking appointment and order volume to recommend per-shift headcount before each shift.

The Intelligence Behind It

Spotter efficiency benchmarks by facility type and shift pattern; moves-per-hour norms across the network for right-sizing calibration

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

Fixed shift schedules are set on gut feel and historical patterns, not actual demand. No competitor combines yard task compliance data with appointment volume and network benchmarks to produce a data-driven staffing recommendation. This replaces headcount decisions based on experience with decisions based on evidence. The intelligence layer is what creates the gap. Building the basic capability is straightforward. Building it on top of 11 years of cross-company facility and yard intelligence is what cannot be replicated with software alone.

Digital Twins

Yard Twin

FourKites Graph

Cross-company facility and yard intelligence powering every decision

FourSight AI

Custom Insights: spotter compliance dashboard; Custom Insights: task completion and per-shift staffing recommendation analytics.

Yard Intelligence and Optimization

Demand-Driven Yard Planning is one outcome in a broader transformation of yard intelligence. When deployed together, yard operations shift from reactive coordination to predictive planning. The Facility Twin provides the data. FourSight AI provides the analytics. The Graph benchmarks your facilities against the network.
  • Multi-Site Yard Intelligence and Predictive Capacity Planning
  • Revenue-Aware Yard Prioritization
  • Predictive Facility Capacity Planning
  • Autonomous Yard Decisioning
  • Yard Workforce Performance Intelligence

Validation

Deployment Evidence

Combines yard task compliance with appointment and order demand to recommend per-shift spotter headcount before each shift.

Expected Impact Range

Lower yard labor cost and less reactive overtime by staffing each shift to actual demand instead of fixed schedules.

Related outcomes

Site Intelligence
Zero-Blind-Spot Yard Operations

Every trailer in the yard: located, identified, and tracked in real time.

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Site Intelligence
Zero-Staff Gate Operations

Gate staffing eliminated. 100% automated check-in and check-out using computer vision.

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Site Intelligence
Spotter Task Automation

Spotter tasks dispatched and optimized automatically. No radio, no whiteboard, no guesswork.

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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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