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Inference Wire

What happened in AI today, explained in 5 minutes.

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Logistics & Supply Chain·AI Engineers On Demand·1 Week

FieldSync

36-hour dispatch cycle, down to under 4

A regional freight coordinator moving 400+ shipments a week across 12 hubs needed to cut a two day dispatch cycle that was holding back their expansion plans. They brought two senior AI engineers onto the team and shipped an automated dispatch system that assigns carriers, plans routes, and flags problems before trucks leave the dock.

Under 4 hours

Dispatch Cycle

80+ daily

Auto Assigned Loads

5 days

First Commit

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FieldSync case study hero
“We brought in two on-demand AI engineers, they became part of the daily workflow immediately. Quick learners, highly qualified.”
RJ

Riley Jackson

Director IT, FieldSync

Before

38 minute manual carrier matching, dispatchers buried in spreadsheets, exceptions caught after departure

After

Automatic carrier assignment in seconds, dispatchers focused on strategy, exceptions flagged before loading

Narrative

The full story.

The Challenge

The dispatch team was matching carriers to shipments by hand, 80+ times a day. Each one took about 38 minutes between route planning, availability checks, and confirmations. That added up to 30 hours a week of coordination work, leaving no room for the expansion planning leadership actually needed. The team knew what to build, but a four-month recruiting cycle for AI engineers wasn't going to work with peak season already on the calendar.

What We Built

Two engineers joined the client's daily standups within five days and started building inside their existing codebase. The system has three stages: one pulls in live shipment requests and carrier availability, the next scores routes on cost, transit time, and load fit, and the last assigns carriers and pushes confirmations automatically. When a delay or cancellation hits, the system recalculates in seconds. What used to take a day and a half now finishes in under four hours.

Results

Those 80+ daily assignments run on their own now. Dispatch cycle time dropped from roughly 36 hours to under 4, and the 30 weekly hours dispatchers spent on coordination went back into carrier relationships and expansion planning. Two engineers for 10 weeks cost a fraction of what a stalled launch or six-month hiring cycle would have, particularly with peak season volume at stake.

Technical proof

How it was built.

Implementation details and the stack behind the delivery.

Implementation highlights

Key engineering decisions from this project.

Full dispatch automation live and processing within 7 weeks of kickoff
System handles 3x the original shipment volume with no new dispatchers
Carrier confirmation time dropped from 6 hours to under 15 minutes
Two engineers working in the client's codebase and daily standups from day five

Stack snapshot

Tools and platforms used in the delivery.

PythonApache KafkaPostgreSQLScikit-learnFastAPI

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