Breeze launches Quote AI Autofill to automate freight insurance quoting

Breeze released Quote AI Autofill on June 23 to extract freight data and populate insurance quotes. It cuts manual entry but requires user approval before submission.

Categorized in: AI News Insurance
Published on: Jun 25, 2026
Breeze launches Quote AI Autofill to automate freight insurance quoting

Breeze released Quote AI Autofill, a tool that reads freight documents and populates insurance quote fields automatically, cutting the repetitive manual tasks that slow down coverage for freight forwarders. The launch, announced June 23, targets an insurance process still reliant on copying data between documents-a friction that eats into margins in a market defined by disruption and cost pressure.

How the tool reads and fills data

Users paste text or upload files they already hold: emails, bills of lading, commercial invoices, booking confirmations, screenshots. Breeze's proprietary AI extracts key details and fills in quote fields-commodity description, cargo value, load type, special conditions, booking reference, Incoterm, mode of transport, origin, destination, and vessel. Every AI-completed field carries a clear marker and remains fully editable. No quote is submitted until the user reviews and approves the information.

Keeping the user in control

"Forwarders are working in a market shaped by disruption, uncertainty, and pressure on margins, yet too much of the insurance process still depends on copying information from one document to another," said Eyal Goldberg, CEO of Breeze. "Quote AI Autofill is designed to remove repetitive manual tasks, speed up quotes, and keep the user fully in control."

The tool doesn't automate the final submission. It reduces the data entry burden while leaving the decision to the broker or forwarder. That design choice matters for insurance professionals who need to verify accuracy before binding coverage.

Why this matters for insurance professionals

For underwriters, brokers, and claims handlers, tools like this shift the focus from data transcription to risk assessment. When AI handles field population, staff can spend more time evaluating cargo exposures, checking policy conditions, and advising clients. The approach aligns with broader AI for Insurance trends, where automation targets administrative drag rather than decision-making. Faster, cleaner data entry also reduces the chance of keying errors that lead to coverage disputes down the line.


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