Ep. #83: Ken Adamo joins Ease Logistics as Chief Strategy Officer

A major freight market intelligence leader is leaving DAT for a brokerage and he’s explaining exactly why. Ken Adamo joins me and Peter Coratola to talk about what most people misunderstand about DAT, how brokers should actually use spot market data, and why the best teams treat analytics as decision support rather than a single “rate truth.” If you’ve ever argued over Rateview screenshots, struggled to explain pricing to a shipper, or wondered why fancy tools don’t get adopted, this one will hit home.We also break news: Ken is joining Ease Logistics as Chief Strategy Officer. We unpack what that role looks like inside a modern, tech-forward brokerage, from product and pricing science to tech adoption and strategic bets. Along the way we debate the seductive idea of drop trailers and why trailer pools can turn into a margin-killing operational tax if you don’t have the systems, discipline, and accountability to manage them.Then we go straight into the market: Winter Storm Fern, RFP behavior, and the mistakes that cost incumbents freight when they panic, give volume back, or “quote cowardly.” Ken shares a grounded outlook on contract rates, the capacity flush, and why 2026 is the table-setting year that can create a huge 2027 for brokers who stay disciplined on pricing, operations, and portfolio thinking (yes, including the reality that some loads go negative).If you like honest freight broker talk with practical strategy, subscribe, share this with a teammate, and leave a review so more operators can find it.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

Freight buying has a dirty secret: most bids do a great job of finding the lowest number and a terrible job of finding the best outcome. When shippers reward price without measuring service, good carriers get punished, bad actors slip through, and procurement teams spend weeks in spreadsheets trying to guess what suppliers actually want.We sit down with Alan Holland from Keelvar to break down a better approach using sourcing optimization, mechanism design, and AI agents. Alan explains how incentive compatible auctions can pull truthful preferences to the surface, why package bids and conditional discounts create space for small fleets to win the lanes they can run best, and how the Google Ads auction is a surprisingly useful model for modern freight procurement. From there we get practical: connecting transportation management system performance data to the sourcing event, weighting on-time performance with price, and designing feedback loops that reward reliable execution instead of “cheap and shaky” promises.We also zoom out to the bigger AI shift. Massive compute, LLMs, and code generation tools like Claude Code are changing how software gets built, which means logistics technology will evolve faster than most teams are ready for. We talk about risk, uncertainty, penalty cliffs, rebate targets, and the long-term “holy grail” of multi-shipper combinatorial exchanges that could unlock network-level efficiency.If you care about freight procurement strategy, logistics automation, AI in supply chain, or the future of brokers and carriers, hit play. Subscribe, share this with a friend in logistics, and leave a review with your biggest question about where AI agents help most.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

Freight is a physical business, but the decisions that make or break a carrier feel more digital every month. I sit down with Chris Ceausu, CEO of White Arrow, to unpack what it really takes to run a complex transportation network across intermodal reefer containers, cross-dock facilities, volume LTL consolidation, and a supporting freight brokerage. If you’ve ever wondered why two carriers can run “the same lane” and get totally different results, this conversation makes it painfully clear: cost allocation, process design, and execution are the whole game.We get into the hard stuff operators don’t love to say out loud: how margin compression forces brutal pricing choices, why asset utilization can matter more than almost any overhead cut, and why trying to “predict the market” often feels like trusting a Ouija board. Chris shares how he evaluates signals like the CASS Freight Index and utilization data, why he’s working to reduce exposure to the most cyclical truckload segments, and how a network with multiple touchpoints creates both service advantages and operational risk.Then we get into AI in logistics, not as a buzzword, but as a tool that can ingest real operational data, summarize call drivers, and speed up building internal workflows. Chris explains his “own the core, plug in the rest” tech strategy, why security is a serious concern when you connect AI to sensitive systems, and why execution is the only thing that ultimately matters. If you lead in trucking, brokerage, supply chain, or transportation procurement, you’ll leave with practical ideas on tech, pricing, and building teams that can adapt fast.Subscribe for more operator-first conversations, share this with a friend in freight, and leave a review if it helps.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

A 10‑day wait for a refrigerator became the spark for a smarter last mile. We sit down with OneRail CEO Bill Catania to unpack how a racing mindset—frugality, failure tolerance, and relentless iteration—translated into a platform that helps retailers move from static delivery workflows to real‑time orchestration at scale. Bill shares the throughline across three startups: aggregate fragmented supply, connect it cleanly to demand, and let data science make the hard choices in milliseconds.You’ll hear how RaceFan aggregated 650 local tracks to unlock national sponsorships, why MDOT’s 200‑millisecond cloud coupon switch won over skeptical retailers (and how Bill timed the sale), and the moment OneRail shifted from gig moving to an enterprise platform. We break down OneRail’s three‑layer model—software first, an aggregated carrier network across sedans to flatbeds, and a human exception team—and how the company takes on risk under its authority to deliver accountability most intermediaries avoid.AI is not a bolt‑on here. Bill explains how courier “credit scores,” market‑level performance, and dynamic assignment replaced manual dispatch, enabling one person to triage roughly 4,000 orders instead of 80. We explore exceptions in furniture and cold chain, SKU‑level loss analysis, and how pushing intelligence upstream into order management can reshape cost to serve before a truck even moves. Along the way, Bill shares the “yes if” leadership mantra that keeps doors open while aligning risk and reward—fuel for winning enterprise trust and recognition like Lowe’s Innovation Partner of the Year.If you care about last mile logistics, enterprise retail, or building resilient platforms, this conversation is a blueprint: aggregate wisely, decide precisely, own outcomes, and scale through partnerships. Subscribe, share with a teammate who obsesses over SLAs, and leave a review with your biggest “yes if” moment—we’ll feature the best on a future show.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

A carrier vanishes from the road, sells its MC, and reappears just long enough to “accept” a $3.8M server load. Sounds absurd—until you see how often the digital record diverges from real-world behavior. We sit down with Genlogs CEO Ryan Joyce to unpack their $60M Series B and the larger vision: an all-source intelligence platform that fuses roadside cameras, satellite imagery, IoT signals, open datasets, and financial clues into one reliable source of truth.We walk through why data quality—not flashy demos—determines AI ROI in logistics. Ryan breaks down how Genlogs’ nationwide camera network establishes ground truth, then correlates it with other signals to expose mismatches: carriers that stop appearing on highways, fleets that claim 200 trucks online while their physical footprint stays flat, or flatbed operators suddenly “hauling” high-value electronics in dry vans across the country. These anomalies are the breadcrumbs that prevent theft and steer teams away from risky tenders. More importantly, the same signals power precision sourcing—finding the one carrier in the right city with the right equipment today—so you can stop blasting a hundred calls to cover one load.The conversation expands beyond fraud. Ports use the platform to measure dwell at the gate, improve turn times, and identify BCOs draining cargo from neighboring gateways. Insurers, lenders, and truck sales and service centers get access to verifiable activity data that refines underwriting, targeting, and revenue planning. With fresh capital, Genlogs is sequencing a multi-product roadmap, expanding coverage into Mexico and Canada, and staying disciplined on spend to protect quality and customer trust.If you care about accurate carrier validation, fewer costly mistakes, and sourcing that actually lands on the first or second call, this conversation offers a practical blueprint. Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

What if your sales motion created real partnerships instead of fragile price wins? That’s the thread we pull with Hans, CEO of Odyssey Logistics, as he maps a journey from Danish directness and early Maersk rotations to leading a global multimodal platform through a roll-up-to-one-brand transformation. The conversation is practical, candid, and loaded with moves you can copy tomorrow—whether you’re running a desk or running a P&L.We start with the foundation: a value proposition built on facts, not slogans. Hans explains how probing, silence, and quarterly KPI reviews expose true customer pain, unlock share of wallet, and make relationships stick at multiple levels, including the C-suite. He shares why he spends heavy time in the field, what onsite town halls surface that email never will, and how a consistent cadence—global Q&A, divisional sessions, defined values—turns culture from posters into behavior.Then we dig into Odyssey’s shift from 16+ legacy brands to One Odyssey. Hans breaks down the integration playbook: centralizing shared services, standardizing procurement, and rebranding fast without crushing entrepreneurial spirit. He’s frank about PE carve-outs, IT risk, and why overcommunication beats overpromising during ownership changes. On growth, we get specific: three levers—share of wallet, new logos, and cross-sell—powered by a cross-trained sales force and subject matter experts. Multimodal strategy is the differentiator, with intermodal often beating truckload on cost and CO2 when planned well.Technology underpins the whole plan. A data lake fuels route optimization, predictive analytics, and automated bidding, while better systems lift both customer outcomes and employee satisfaction. Odyssey’s rebranded brokerage in Atlanta becomes the easy entry point—truckload and LTL open the door to deeper multimodal solutions. Hans closes with career advice that never expires: choose training over titles, learn every job, stay humble, and remember the team is smarter than any one of us.If this resonates, follow the show, share it with a colleague who sells on price, and leave a quick review so more people can find conversations that move logistics forward.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

Cash flow is oxygen, and too many teams are holding their breath waiting on portals, proofs, and “who handles this?” handoffs. We sit down with Tarek, a former TQL broker turned founder, to unpack the culture of persistence he learned on the brokerage floor and how that same grit now powers an AI platform that doesn’t just assist accounts receivable—it does the work.We start with the reality of freight sales: real-time chaos, creative problem solving, and an all-out push to win accounts. Then we widen the lens to founder-led growth, the kind of leadership that gets teams to feel the mission and deliver through tough cycles. From there, we go deep on AR. Why does a missing lumper fee stall a giant remittance? How do portals, short-pays, and missing documents consume weeks? Tarek breaks down a task-based system that sits on your ERP, automates the repeatable steps, and routes exceptions to the right humans in sales and CS. Think instant W‑9s, dispute drafts with proof attached, and AI-powered calls that surface the exact invoice history mid-conversation.This isn’t AI as a buzzword. It’s time-to-value measured in days, not months, with reductions in overdue invoices and DSO you can feel in your working capital. We talk hiring A-level engineers who talk to customers and ship fast, the difference between commodity selling and value selling, and how a platform partner like A16Z adds real leverage in talent, BD, and brand. We also draw a firm line on ethics: automation belongs in B2B workflows where it creates clarity and speed, not in consumer collections that cross the line.If you want practical tactics to close your cash gap, align finance with sales, and keep customers happy while the money moves, this conversation is for you. Subscribe, share with a teammate who’s drowning in AR follow-ups, and leave a review with the next bottleneck you want us to break down.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

What if your operations team started each day with every check call completed and only the real exceptions waiting? We sat down with Happy Robot co-founder Pablo Palafox to unpack how an AI workforce is changing the cadence of work in freight—beyond chatbots and into end-to-end execution.Pablo’s path runs from deep learning research and a Meta internship to YC, a hard pivot, and a clear problem: late deliveries, fines, and interns glued to phones. That pain created an opening for agents that don’t just “assist,” but actually do the work—track and trace, carrier sourcing by phone and email, POD collection, and data updates—while writing everything back into your systems. We dig into the three-layer model his team uses to scale results: execution (agents that act), data (records that get richer with each action), and intelligence (an observability layer where leaders can ask the business direct questions and get grounded answers).We go inside the enterprise stack: why orchestration and developer-grade tooling matter, how forward-deployed engineers capture tribal knowledge and SOP nuance, and what “manage by exception” looks like for a rep when agents handle the repetitive flow. From reviving dormant LTL accounts to surfacing carriers for real loads, we talk about what to automate, what to avoid for compliance, and where human creativity stays central—especially in customer sales. Pablo shares real outcomes, including dramatic reductions in manual workload and teams redeployed to higher-leverage roles without heavy headcount cuts.Call it minute one of a much bigger game. As operations interconnect—maintenance signaling brokerage, intelligence spotting margin leaks—agents become the connective tissue and humans become the strategists. If you’re serious about scaling service, protecting scorecards, and growing without linear hiring, this is a blueprint for turning AI from buzzword to advantage.If this convo sparked ideas for your team, follow the show, share it with a colleague, and drop a review with the one workflow you’d hand to an agent first.Follow The Freight Pod and host Andrew Silver on LinkedIn.Thanks to our sponsors:Stuut Technologies: Your AI coworker that collects your cash automatically.https://www.stuut.ai/Cloneops.ai: Not just AI. Industry-born AI.https://www.cloneops.ai/Rapido Solutions Group: Nearshore solutions for logistics companies.https://www.gorapido.com/GenLogs: Freight Intelligence on every carrier, shipper, and asset via a nationwide sensor networkhttps://www.genlogs.io/

A 23-year-old with a pager, a bag phone, and a point to prove—Chris O’Brien takes us from apologizing for not owning trucks in the early days of his C.H. Robinson career, to shaping one of the most influential commercial engines in logistics, then into a new play: One Armada. We dig into the early days of brokerage at Robinson when check calls ruled and service meant relentless follow-up, and we unpack the moment that rewired Chris’s approach—working on-site at a shipper and learning to think outward first. From opening Raleigh and hiring for mission, to selling in French while integrating an acquisition, this is a masterclass in how hustle matures into scalable systems without losing its edge.We also get a rare look inside Armada’s unique model. Chris lays out why restaurant supply chains are different—SKU velocity extremes, temperature control, and LTO shocks—and how redistribution, inventory visibility, and engineering create leverage. Then we zoom into managed freight: a curated carrier base treated like strategic partners, long-term commitments that outperform spot-market whiplash, and the power of behaving like a good shipper. Add Sunset’s LTL and truckload brokerage and ATEC’s export specialization, and the strategy gets clearer: combine capabilities to win complex, multi-modal, multi-temperature flows where savings and service matter most.One Armada isn’t just a new logo; it’s a deliberate way to sell and deliver—aligning brand, enablement, and go-to-market so customers can say yes faster and teams can sell more without losing what already works. Chris shares how he designs change—listen broadly, anchor on growth, and build collaboratively—and what success looks like in two years: greater scale across industries, tighter integration, and customers and carriers saying the experience got better because Armada got smarter.If you care about freight brokerage, managed transportation, restaurant logistics, or building a sales engine that actually helps customers win, this conversation is a roadmap. Subscribe, share with a teammate who leads sales or operations, and tell us: where would you place your bet—redistribution, managed freight, or both?

What does it take to build a $220 million logistics company from scratch? Peter Coratola, CEO and founder of EASE Logistics, reveals the hard-earned wisdom behind his remarkable journey from unemployed college graduate to logistics leader.After being let go from his first industry job at 23, Peter launched his own brokerage with nothing but determination and a newborn son to support. His philosophy was simple yet powerful: "The more you do, the more you make." This approach became the foundation for a company that now handles hundreds of millions in freight and employs teams across brokerage, asset-based transportation, and warehousing operations.The turning point in EASE Logistics' growth came from an unexpected direction – taking on high-stakes automotive line production freight. "That's like taking your driver's ed on the Indy 500," Peter explains, describing how the unforgiving standards of automotive logistics (where line shutdowns can cost manufacturers $5,000 per minute) forged operational excellence that transferred to other industries.Peter's perspective on technology and AI reflects his commitment to customer service above all else. While embracing innovation internally to make his team more effective, he remains cautious about technology replacing the human connections that differentiate his business. "It's easier for logistics companies to be good today, but harder to be great," he observes, pointing to EASE's true 24/7 operations with 25% of staff working night shifts to ensure problems get solved, not just acknowledged.As market conditions continue to challenge freight brokers, Peter's leadership lessons offer valuable insights for anyone building a business. The hardest moments weren't market crashes but people decisions – learning to balance emotional investment with necessary business choices. His advice for navigating tough times? "Stick to the plan, not your mood," and focus on putting points on the board every day through small wins.What will the freight market do next? Peter sees challenges continuing through 2025 but anticipates improvement by mid-Q1 2026, particularly with automotive manufacturers launching 27 new models. For those weathering the current market, his story demonstrates that preparation, adaptability, and maintaining team swagger through continued investment can position companies to thrive when conditions improve.