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Case study, Atlas Freight

An inbox agent that drafts freight quotes in minutes

An AI agent that reads quote requests, pulls the right rates and drafts replies for the team to approve.

Client
Atlas Freight
Year
2025
Industry
Logistics
Timeline
7 weeks
Cargo ship emerging from dense fog on calm water
  • AI agents

The brief

Atlas receives hundreds of quote requests a week by email, each written differently. Sales reps spent hours copying details into spreadsheets before they could even price a shipment.

What I did

  1. 01

    Built an agent that reads every incoming request, pulls out origin, destination, weight and dates, and flags anything missing.

  2. 02

    Connected it to the company's rate sheets so it prices each route the same way their best rep would.

  3. 03

    Designed a simple approval screen where reps review the draft, adjust it if needed and send it with one click. Nothing goes out without a person.

The result

Quotes now go out the same morning they arrive, and the sales team spends its time with customers instead of copying and pasting.

to a draft quote, down from 3 hours
4 min
saved by the sales team every week
20h
of quotes approved by a person before sending
100%

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