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July 1, 2026

The Freight Pod: Why Modern Freight Networks Need More Than a TMS

Ryan Soskin, CEO and co-founder of GoodShip, recently joined Andrew Silver on The Freight Pod to discuss his career, the evolution of freight technology, and why transportation teams need a better way to manage modern freight networks.

From building freight brokerages to helping enterprise shippers rethink procurement, Ryan shared lessons from Coyote Logistics, Convoy, Stord, and the journey that ultimately led to GoodShip.

Here are some of the biggest takeaways from the conversation.

What problem was GoodShip built to solve?

Ryan explained that two persistent challenges kept surfacing throughout his career.  First, transportation procurement is still heavily manual. Annual RFPs often rely on spreadsheets, multiple bidding rounds, and incomplete lane information, making it difficult for carriers and brokers to price freight accurately.

Second, transportation teams rarely have a shared source of truth. Shippers, brokers, and carriers often measure performance differently, creating friction instead of collaboration.

GoodShip was built to solve both problems by bringing procurement, network performance, and transportation intelligence into one platform.

Why do freight networks drift over time?

One of the concepts Ryan introduced was network drift. Even a well-designed transportation network begins changing the moment an RFP is awarded.Carrier performance changes. Volumes fluctuate. Market conditions shift. Business priorities evolve.

Instead of waiting until the next annual bid, transportation teams need continuous visibility into what's changing so they can make adjustments before costs and service begin to suffer.

“Isn't that what a TMS is supposed to do?”

One of Andrew's biggest questions centered around where GoodShip fits within the transportation technology stack.

Ryan's answer was simple. A Transportation Management System is designed to record transactions.

GoodShip is designed to help transportation teams make better decisions. Rather than replacing a TMS, GoodShip sits alongside existing systems, bringing together transportation data, market intelligence, procurement workflows, and AI to help teams understand what's happening and what action to take next.

How Long Does Implementation Take?

Replacing a TMS is one of the largest technology decisions a transportation organization can make. Instead of asking customers to rip and replace critical infrastructure, GoodShip integrates with the systems they already use.

Implementation typically takes just 4 weeks, allowing transportation teams to begin generating value quickly without lengthy IT projects or operational disruption.

How does AI actually help transportation teams?

While generic AI tools can summarize information or answer broad questions, they often lack the transportation-specific context needed to analyze freight networks, evaluate procurement strategies, or identify operational risks. Freight networks are constantly changing, and transportation professionals need AI that understands the relationships between carrier performance, market conditions, procurement, and network optimization.

That's where Laney, GoodShip's AI Transportation Analyst, comes in.

Built directly into the GoodShip platform, Laney is designed specifically for transportation. Instead of delivering generic responses, Laney understands each customer's freight network and can answer complex transportation questions in seconds.

Whether preparing for a quarterly business review, identifying service risks, uncovering spot market exposure, or generating executive-ready reports, Laney helps transportation teams spend less time gathering data and more time making strategic decisions.

GoodShip’s transportation-first approach to AI was featured in CargoRex’s 2026 AI Use Cases in Logistics Guide, a series that highlights AI use cases that were built specifically for the transportation industry. 

Why is now the right time for this technology?

One of the final topics Andrew explored was how changing freight markets affect transportation technology. Ryan noted that during prolonged soft markets, many inefficiencies remain hidden. As freight markets tighten, however, network drift becomes far more expensive. Tender rejection increases. Spot exposure grows. Routing guides begin to crack. Transportation leaders need real-time visibility and faster decision-making to stay ahead of changing market conditions.

What problem was GoodShip built to solve?
What is network drift?
How is GoodShip different from a Transportation Management System (TMS)?
How does AI help transportation teams make better decisions?