Site Intelligence

Backhaul Optimization

Backhaul pickups coordinated with delivery schedules. Empty miles reduced, fleet utilization maximized.
Alan
Primary Agent
Alan
Shipment Twin
Appointment Twin
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Backhaul Optimization

What we deliver

The Problem (Before)

After delivering to a customer site, trucks return empty because there is no systematic way to match return capacity with available vendor pickups nearby. Backhaul coordination is manual, opportunity-based, and rarely optimized.

Who feels this:

Transportation Manager, Fleet Coordinator, Transportation Planning Manager

The Outcome (After)

Backhaul pickups coordinated with delivery schedules. Empty miles reduced, fleet utilization maximized.

What makes this different:

After delivering to a customer, trucks return empty because there is no systematic way to match return capacity with nearby pickups. This system fills the return leg automatically, cutting empty miles.

Alan
Primary Agent

Alan

Schedules, reschedules, and confirms appointments based on live ETAs. Resolves conflicts across multiple portals. Keeps docks at full utilization.
28%
dock adherence improvement
35%
wait time reduction

How it works

The building blocks behind this outcome.
What Happens

Alan coordinates vendor pickup appointments with outbound delivery schedules, matches return capacity with pending vendor pickups in proximity, and books backhaul appointments aligned with delivery completion ETAs.

The Intelligence Behind It

Network-wide vendor pickup availability patterns

Historical dwell times at vendor sites for backhaul lanes

Distance and time proximity analysis for backhaul matching

Carrier empty-mile patterns by lane and region

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

After delivering to a customer, trucks return empty because there is no systematic way to match return capacity with nearby pickups. This system fills the return leg automatically, cutting empty miles. 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

Shipment Twin, Appointment Twin

Loft

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

FourKites Graph

Cross-company facility and yard intelligence powering every decision

FourSight AI

Custom Insights: Backhaul utilization dashboard; Custom Insights: Empty mile reduction analytics

Operational Flow Optimization

Backhaul Optimization is one outcome in a broader optimization of operational flow through your facilities. When deployed together, loads move through your network with minimal manual coordination. Tracy monitors inbound. Alan manages appointments. The Facility Twin orchestrates dock and yard operations.
  • End-to-End Live Load Flow Automation
  • Cross-Dock Orchestration
  • Hot Load & Priority Order Fast-Track
  • Proactive Yard Product Protection
  • Proactive Cold Chain Product Protection

Validation

Deployment Evidence

Live in enterprise production, matching return capacity to nearby vendor pickups to fill the backhaul leg automatically.

Expected Impact Range

Fewer empty miles and higher fleet utilization by filling return trips instead of running trucks back empty.

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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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