Sergei Egorov, Director of Growth Marketing at GoodShip

Sergei Egorov is Director of Growth Marketing at GoodShip. He is a marketing leader with 15+ years of experience building GTM systems and scaling startups from 0 to 1 and beyond. Proven track record of connecting marketing, sales, and product into cohesive growth engines for Series A/B startups (Mighty Buildings) and large-scale enterprises (Google). Expert in designing predictable pipelines, architecting AI-enabled agentic workflows, and leveraging advanced analytics to drive measurable revenue impact.

Articles

Mini-Bids Are Up 70% as Freight Procurement Becomes More Continuous

Annual freight RFPs remain a critical part of transportation procurement, helping shippers secure capacity, establish competitive rates, and build carrier relationships that support their networks throughout the year. But even the most carefully planned RFP can't account for everything that happens over the next 12 months, particularly as tighter market conditions put additional pressure on capacity, costs, and carrier performance.

What Is Freight Orchestration? Definition, and How It Differs From a TMS

Freight orchestration is the coordinating layer across a shipper’s transportation function. It brings together data from the systems that run freight, identifies where cost and service are slipping, and connects those findings to the decisions that fix them, such as procurement, carrier management, and award changes. A TMS executes shipments. Freight orchestration decides what the network should look like and keeps it aligned as conditions change.

Carrier Scorecard Software: What Shippers Should Look For (and What to Skip)

Carrier scorecard software tracks how carriers perform against your service and cost expectations, and it gives you and your carriers the same view of the numbers. The features worth looking for are the ones that lead to action: lane-level metrics, carrier self-service access, actions you can take from the scorecard, and performance history that feeds your next bid. The features to skip are the ones that produce a report and stop there.

What Is a Freight Mini-Bid, and When Should Shippers Run One Instead of an Annual RFP?

A freight mini-bid is a procurement event covering a defined set of lanes over a defined period, run between annual RFPs. It uses the same mechanics as a full-network RFP, including carrier invitations, bid rounds, and award decisions, but covers part of the network instead of all of it. Shippers run one when something specific has changed and waiting for the next annual cycle would cost money or service.

Build vs. Buy: The Smarter Path to Transportation Intelligence

AI has made building transportation technology easier than ever, but the real build vs. buy equation is more complicated.

See the What-Ifs Play Out: Simplifying Freight Award Scenario Analysis

Freight procurement comes with no shortage of what-if questions. GoodShip's AI Scenario Builder lets shippers build, compare, and refine freight award scenarios by describing their goals to Laney in plain English, without complex forms or manual spreadsheet modeling.

How Can Supply Chain Executives Use AI to Find Freight Savings?

Supply chain executives use AI to find freight savings by connecting their shipment, rate, and benchmark data to a platform that scores every lane continuously, ranks the largest cost gaps in dollars, and gives their team a way to act on each one and measure what the action returned. The work that used to require an analyst pulling exports and building a model now runs in the background, and the output is a short list of lanes with a specific dollar figure attached to each. This covers where freight savings hide, how AI surfaces them, and how to turn a surfaced opportunity into savings.

What Is the Best AI-Powered RFP Platform for Enterprise Shippers?

At enterprise scale, the best AI-powered RFP platform is the one that optimizes your award across the whole network at once. Above roughly $25M in freight spend, collection speed stops being the binding constraint. What matters is whether the platform can optimize thousands of lanes across dozens of carriers under real constraints, benchmark every rate against verifiable market data, and prove where each number came from when finance asks. The difference between a mid-size bid and an enterprise bid is interaction effects. At a few hundred lanes, a good analyst can hold the tradeoffs in their head. At several thousand lanes across dozens of carriers, with volume caps, incumbency commitments, regional capacity limits, and service requirements interacting, the number of valid award combinations exceeds anything a team can evaluate manually. Awards get assembled lane by lane, and the network-level cost of that approach never shows up on a report, because nobody built the alternative to compare against. Three other things change at this scale. 1. Finance scrutiny increases. A 3% swing on $25M is $750,000, which puts your award methodology in front of the CFO. More stakeholders hold a position. Procurement, transportation, finance, and the plants all have one, and the platform has to produce numbers each of them will accept. Audit expectations tighten. Every recommendation needs to trace back to specific loads, rates, and carriers, or it will not survive review.

What Is the ROI of AI-Powered Freight Procurement Software?

The ROI comes from four places: awards built through optimization, gaps closed in weeks because every lane is compared continuously, cascade cost removed once you can see real cost per load, and analyst weeks recovered from manual reconciliation and reporting. The first three move the freight budget. The fourth moves headcount capacity. Nobody can quote you a reliable percentage, because the return depends almost entirely on how your network is bought today. You can model it before you buy, using your own numbers. This article shows how, and what a CFO should look for in transportation spend management software.

GoodShip Adds LTL Procurement Software to Its Transportation Procurement Platform

Transportation networks don’t operate in a single mode, and transportation procurement software shouldn’t either. Today, we’re excited to announce that GoodShip now supports LTL procurement, giving shippers the ability to manage LTL alongside FTL and intermodal in one platform. Transportation teams can now manage LTL alongside truckload in GoodShip, bringing more of their procurement into one place with flexible RFPs and mini-bids, streamlined bid evaluation, and award scenario modeling. GoodShip is transportation procurement software that supports LTL, FTL, and intermodal in a single platform, so shippers no longer need separate tools to manage LTL and truckload procurement.

When Does a TMS Need AI?

A TMS does not need AI to do its job. It plans, tenders, tracks, and settles shipments, and a good one does that reliably without a model anywhere in the stack. The question worth asking is different: when does your operation outgrow execution alone and start needing a layer that interprets what the TMS records? The trigger is usually scale plus volatility. Once you have more lanes, carriers, and rate movement than a person can hold in their head, the gap between having freight data and making good freight decisions becomes expensive. Here are the specific signs that you have crossed that line.

How AI Is Actually Being Used in Transportation Procurement Today

AI in transportation procurement is doing unglamorous, high-value work: standardizing carrier bid responses, modeling award scenarios across constraints no spreadsheet can hold, comparing bid rates against market benchmarks, watching awarded lanes for degradation, and answering questions about a network in plain language. It is not choosing carriers or signing contracts. The pattern across shippers actually running it in production is narrow scope, real data, and a human making the call. This is a walk through the procurement cycle, stage by stage, with what AI is genuinely doing at each one.

What Is Carrier Management Software? A Buyer's Guide

Carrier management software helps shippers choose, monitor, and manage the carriers moving their freight. It scores carrier performance on the metrics that actually drive cost and service, shows where your routing guide is breaking down, and connects that history back to your award decisions so the right carriers get more volume. It sits on top of your TMS rather than replacing it, using the tender and shipment data your TMS already produces. This guide covers what the category includes, how it differs from a TMS, and what to look for when you buy.

How Are Shippers Using AI?

Shippers are using AI to run and analyze RFPs, model award scenarios before committing, benchmark freight rates against the market and their budget, monitor carrier performance, and ask questions about their own network in plain language. Taken together, those add up to the real shift: keeping the network continuously optimized instead of correcting it once a year at bid time. AI is not running these shippers' transportation departments. It is doing the analysis that used to take an analyst a week, so the people who buy and manage freight can make more decisions, faster, with better evidence behind them.

Which AI Supply Chain Software Works Best?

There is no single winner, because "supply chain software" covers four different jobs that need four different kinds of AI. Demand planning needs forecasting models. Warehouse systems need computer vision and robotics control. Visibility platforms need predictive ETA models. Freight procurement and pricing needs constrained optimization plus a language layer on top. The software that works best is the one built for the specific job you are trying to improve, and the way you find it is by testing it on a decision from your own network where you already know the answer. This guide covers which category fits which job, and the exact questions to ask during evaluation.

How Is AI Used in Transportation?

AI is used across transportation to optimize freight rates, automate RFPs, model procurement scenarios, price broker bids, monitor carrier performance, and answer questions about a freight network in plain language. The most practical shift right now is not autonomous trucks. It is AI embedded in the daily decisions of freight: shippers using it to see which lanes are above market and which carriers deserve more volume, and brokers using it to price bids from real cost to serve instead of gut feel. Here is where AI is actually working in transportation today, and how to think about getting it into your own operation.

Are Freight Bidding Platforms Worth It for Brokers?

For most brokers handling more than a handful of RFPs a year, yes. A freight bidding platform pays for itself if it does two things: wins you more of the freight you actually want, and stops you from winning freight at prices that lose money. The honest answer, though, depends on your RFP volume, your current process, and whether the platform does real pricing intelligence or just collects spreadsheets. Here is how to run the math for your own operation.

How Do Freight Brokers Track Which Lanes Are Losing Money?

Freight brokers track losing lanes by comparing customer revenue against actual carrier cost at the lane level, on a recurring schedule, with enough history to see the trend. Most brokers only do this at the account level or the quarterly P&L level, which is exactly why losing lanes survive for months. The answer is lane-level margin tracking, and the method matters less than the discipline of doing it continuously.

What Is the Best Pricing Software for Freight Brokers?

The best pricing software for freight brokers is the platform that protects your margin per load, not the one that helps you quote fastest. Of course speed matters, but a fast quote at a losing price is just a faster way to lose money. In a market where the difference between growth and survival is a few points of margin, the best pricing software connects your historical costs, your network data, and live market context into every price you put in front of a customer. This blog covers what best actually means for broker pricing software and how to evaluate it.

What Is Transportation Intelligence Software?

Transportation intelligence software is an analytics and decision layer for freight. Your TMS executes shipments. Your ERP records the financials. Neither one is built to answer questions like these: Which lanes are priced above market? Which carriers are rejecting tenders and driving up your cost per load? What happens to your budget if you rebid your top 50 lanes next quarter? Transportation intelligence software exists to answer those questions. It pulls data from the systems you already run, cleans and standardizes it, and layers market context and analytics on top. The output is not a report. It is a recommendation you can act on.