🎣 GoodShip: Bridging the Gap Between Data and Tech

Ryan Soskin has seen every side of the freight tech cycle in his sixteen years in the industry. Started as a reefer carrier rep at Coyote Logistics and then became employee #15 at Convoy, where he spent nearly five years helping build the contract pricing team.

Now, as Co-Founder and CEO at GoodShip, a freight orchestration and procurement platform, he’s convinced the next phase of freight tech won’t be about replacing people — it’ll be about helping them finally understand their own networks.

Today's Newsletter is Brought to You By **FreightFlex**.

Why Freight Data Doesn’t Fix Carrier Pricing Without Network Context

Recently, GoodShip announced two new developments:

A partnership with Prime Inc. to build a next-generation RFP response tool for carriers
A partnership with GenLogs that gives shippers direct carrier discovery capabilities inside GoodShip

Together, they point to a larger shift across freight tech: the next battleground won’t be data collection, but intelligence and interpretation.

Why RFPs Break Without Network Context

Having spent three years running contract pricing at Convoy, Ryan saw firsthand why RFPs (Request for Proposals) are broken.

The issue wasn’t only that they were manual, it was that carriers and brokers lacked the context needed to price freight.

Too much disconnected data and not enough usable intelligence.

Most carriers already have the data, they just don’t have the infrastructure to interpret it fast enough.

Breaking It Down

GoodShip has two core layers:

Orchestration:

GoodShip connects data across TMS platforms, and all your other source systems, unifying that, and giving you a comprehensive view of what’s going on in your network.

Then, using AI to pinpoint hotspots where there are optimization opportunities, connects the data showing you insights where to improve their business

Using Laney

Thanks to GoodShip’s AI transportation analyst, Laney, that sits on top of that operational data layer, you can ask any question and have intelligence at your fingertips.

One example Ryan shared:

A customer needed help preparing for an upcoming QBR with a shipper.

Laney generated:

the customer footprint
performance summaries
strengths
areas of opportunity

It has access to all your source system data, from TMS to ERP to fuel schedules and facility information.

It saves you days of manual work.

The platform helps carriers quote freight based on the strategy of their network. The secret sauce is having the orchestration layer- all the analytics and all the network context feeds into that workflow.

“We’re basically saying, ‘Here’s all the characteristics of this lane based on your historical data, to help form a smarter, better response.”

GoodShip’s pricing engine allows carriers to upload an RFP spreadsheet and compare it against the last 12–24 months of historical freight data.

The system then evaluates:

historical performance
network fit
lane density
roundtrip potential
and strategic alignment

The Bigger Picture

GoodShip has positioned itself not as another TMS, but as an intelligence layer sitting above the operational stack.

For years, freight tech focused heavily on execution: digital brokerage, automation, visibility, and workflow tools. The next wave appears to be shifting toward decision support.

The real promise of AI in freight today may not be replacing labor, but shortening the time required to make those decisions.

Reed Loustalot, Paul-Bernard Jaroslawski, and Ryan Soskin.

Listen to the full episode on Spotify and Apple Podcasts, or watch it on YouTube.

Presented by Freight Flex

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