Instant
Quote turnaround (was 10–30 min)
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Overview
Carggo is a freight brokerage platform built around machine-learning-powered instant pricing. The core product challenge was replacing a slow, manual quoting process with an automated pricing engine that could respond to market conditions in real time and scale quote volume without adding headcount.
The Problem
Freight quoting required 10–30 minutes of manual effort per shipment. Pricing analysts had to research lane rates, check carrier availability, apply margin, and respond to each request individually. This created a competitive disadvantage — customers expected faster responses — and capped the volume of quotes the business could handle without growing the team.
My Role
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The Solution
Led the development of a machine-learning pricing engine that ingested historical shipment data, market rate signals, and carrier performance data to generate instant, accurate freight quotes. The model was trained to price by lane, equipment type, and market conditions, and was integrated directly into the customer-facing quoting flow so customers received instant responses without analyst involvement.
The Outcome
Quoting time dropped from 10–30 minutes to instant. The business was able to scale quote volume significantly without adding pricing headcount. Win rates improved as customers received faster responses, and the pricing team shifted from manual quoting to model monitoring and exception handling.
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