WardenTier™ Routing Intelligence System
Predictive cargo theft risk scoring for safer, smarter routes.
Overview
The WardenTier™ Routing Intelligence System is a proprietary cargo risk assessment tool that empowers shippers, brokers, and carriers to make informed, data-driven routing decisions. It evaluates multiple operational, environmental, and behavioral risk factors and distills them into a clear, actionable score — allowing you to proactively tier routes and align them with your security protocols.
Currently in final design, WardenTier™ is being developed to give logistics professionals defensible intelligence they can rely on — not just static data points.
Key Capabilities
Lane Risk Scoring
Every route receives a proprietary score reflecting its relative exposure to cargo theft risk.
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Tier Assignments
​Routes are automatically categorized into security tiers (e.g., Tier 1: Low Risk, Tier 4: High Risk) with recommended control measures.
Actionable Insights
Supports SOP enforcement, operational planning, and insurance documentation.
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Customizable Framework
Risk criteria and tier thresholds can be adjusted to match your operational priorities.
Visual Risk Mapping
Dashboard heatmaps help you see where the threats are and act before the freight moves.
Benefits
Prevent Before You Dispatch – Identify high-risk lanes before committing resources.
Defensible Decisions – Back route selection with verifiable, documented intelligence.
Aligned With Your SOPs – The tier framework integrates into your existing escalation and control measures.
Cross-Functional Utility – Security, operations, brokerage, and insurance teams work from the same source of truth.
Who It’s For
Shippers & 3PLs – Route selection and carrier qualification.
Brokers – Risk-based load assignment and exception handling.
Carriers – SOP compliance and insurance defensibility.
Insurers – Exposure assessment and loss documentation.
Development Status
WardenTier™ is in the final design phase with a select group of beta partners. Early adopters will have access to the platform before its public release.
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