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Insurance verified Verified Outcome TRL 9

AI-Priced Spot Freight Insurance

domain Client: Freight Brokers / 3PLs handshake Provider: Loadsure schedule Deploy: 2020-Present
89 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Integration of an AI-driven pricing engine into freight management systems (TMS) to offer instant, per-load cargo insurance for the spot market.

rate_review Analyst Verdict

"Solves the 'underinsurance' crisis in spot freight. 60-90% of spot cargo is underinsured because traditional annual policies don't cover one-off high-value loads efficiently. This API-led model captures that lost volume."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Freight brokers often move 'spot' loads (one-off shipments) that exceed their standard carrier liability limits. Getting additional insurance for a single truckload was a manual, paper-based process taking days—too slow for the instant nature of logistics. As a result, shippers often shipped at risk.

psychology The Solution

Built a predictive pricing model that analyzes the specific lane risk (route, cargo type, carrier rating, weather) in real-time. The API integrates into the broker's Transportation Management System (TMS). With one click, the broker can add 'all-risk' insurance to the load for a dynamic fee. Policies are issued instantly.

settings_suggest Technical & Deployment Specs

Integrations
TMS (MercuryGate, etc.)
Deployment Model
Embedded API
Data Classification
Shipment Data
Estimated TCO / ROI
Per Load Premium
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Accuracy Medium TMS data validation.
Theft Fraud High Carrier vetting integration.

trending_up Impact Trajectory

Audited value realization curve

Quote-to-bind in < 40 seconds Verified Outcome
Primary KPIGranular pricing based on real-time risk
Audit CycleAutomated claims settlement for low-value losses

policy Compliance & Gov

  • Standards: Marine Insurance Act
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Shipment Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Freight Brokers / 3PLs without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-581
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-581

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