Freight tech hype cycles come and go, but what actually sticks inside brokerages, carrier ops, and shipper TMS screens? The “Steve Jobs of freight,” Bill Driegert, traces the real arc of innovation in trucking – from American Backhaulers and the “Chicago model” to Uber-for-Freight experiments, digital freight matching, AI dispatchers, and the Convoy acquisition by DAT.

Bill has sat in almost every important seat in modern freight: early at Coyote, co-founder of Uber Freight, Head of Trucking at Flexport, part of the Convoy story, and now leading carrier products and strategy as EVP of Convoy Platform at DAT. He breaks down why each “epoch” of freight tech took a decade to matter, why pure-play digital brokers hit a ceiling, what the DAT + Convoy combo unlocks, and how AI, AVs, and scheduling will reshape the next 10–20 years.

What you’ll learn

• The real tech epochs in freight: From post-deregulation brokerage and the American Backhaulers / CH Robinson split, to broker TMS, to “Uber for freight,” to today’s AI and automation wave.
• Why “digital freight matching” stalled as a standalone model: The hard TAM limits of being “product pure,” and why the biggest brokers will build, while everyone else partners.
• Chicago vs cradle-to-grave brokerage models: How floor design, org structure, and TMS shape service, density, and which shippers you can actually win.
• Fragmentation, scale, and the future of brokers: Why tech makes midsize brokers more dangerous, why service still wins with SMB shippers, and why you shouldn’t bet on a winner-take-all market.
• AI’s real role in brokerage and dispatch: Where AI and “AI dispatchers” add value, where they just create more work, and why channel choice (app, TMS, email, phone) really matters.
• Autonomous trucks and carrier consolidation: How AVs could change capital requirements, operating models, and what a “carrier” even is – plus how brokers and 4PLs might evolve around them.
• Why scheduling is the final frontier: How appointment setting, facilities, and dock operations quietly cap automation – and why solving scheduling unlocks the next big efficiency leap.

Time-stamped highlights

• (00:00) Bill’s background across Coyote, Uber Freight, Flexport, Convoy, and DAT
• (05:00) Post-deregulation brokerage 101: CH Robinson vs American Backhaulers and the birth of the Chicago model
• (11:00) Building Coyote’s broker TMS and why V1 tech focused inside the four walls of the brokerage
• (16:00) Uber launches, “Uber for freight” is born, and why early apps were just mobile load boards
• (22:00) Convoy, Transfix, Uber Freight and the true end-to-end “app-first” operating model
• (27:00) Why pure digital brokers ran into TAM limits and why only the largest players can justify full-stack builds
• (33:00) What shippers actually care about: why transportation is often priority #5, not #1, in the C-suite
• (39:00) SMB vs enterprise shippers: how Landstar-type agents win locals while big RFPs reward scale and data
• (45:00) Fragmentation, minimum efficient scale, and whether broker consolidation really happens
• (51:00) AI in the wild: AI dispatchers, robocalls, and why every extra medium (phone, email, portal) is a process defect
• (57:00) How apps, TMS integrations, and “one-click” workflows beat phone calls for both carriers and brokers
• (1:02:00) AVs and the carrier of the future: capital intensity, new operator models, and deterministic dispatch
• (1:10:00) 4PLs and managed transportation in an AI/AV world: why the role changes but doesn’t disappear
• (1:16:00) Inside the DAT + Convoy + Truckers Tools + Outgo stack: what Bill’s building for carriers and brokers now
• (1:22:00) Scheduling as the under-loved bottleneck: why docks, facilities, and appointments still block automation

Guest

Bill Driegert — EVP of Convoy Platform, DAT Freight & Analytics
Bill has been at the center of nearly every major freight-tech wave of the past 15 years. He was an early employee at Coyote Logistics, co-founded Uber Freight, led trucking at Flexport, and now guides carrier strategy and product at DAT following the acquisition of Convoy’s technology.
LinkedIn: https://www.linkedin.com/in/driegert/

Links & references

• DAT Freight & Analytics: Load boards, rates, and network intelligence for brokers, carriers, and shippers — https://www.dat.com/
• Convoy (acquired technology by DAT): Background on the digital brokerage and platform Bill helped integrate
• Uber Freight: Digital brokerage and 4PL / managed transportation offering — https://www.uberfreight.com/
• Coyote Logistics: Large brokerage built on the “Chicago model” Bill joined as an early employee

Brought to you by

VOOMA — Vooma helps brokers and carriers win and move more freight. Their AI Orchestration platform automates SOPs across the full Quote-to-Cash lifecycle helping teams focus on the tasks that actually move the needle for the business. Book a demo now: https://www.vooma.com/

Building a $1B+ multimodal 3PL brokerage in a deregulated, brutally cyclical trucking market doesn’t happen by accident. Doug Waggoner, Chairman & CEO of Echo Global Logistics, walks through one of the most dramatic long-run arcs in transportation — from three-martini LTL sales calls and rolls of quarters for pay phones to cloud-optimized networks, data-driven pricing, and AI as a “task killer, not a job killer.”

Doug takes us through the real strategy behind Echo’s rise: building lane density the hard way, turning small acquisitions into consistent growth engines, and developing a managed transportation model with 96%+ renewal rates — all while embracing technology and AI as the next leap forward for brokerage productivity. (echo.com)

If you care about where brokerage is actually headed (AI, managed trans, multimodal, PE ownership) and what separates durable platforms from the next roll-up casualty, this is a masterclass.

What you’ll learn

• From tariffs to true competition: How deregulation shattered ICC pricing, wiped out legacy LTL players, and forced the industry to learn real pricing strategy for the first time.
• The birth of modern brokerage: Why asset-light truckload brokerage emerged only after deregulation—and how innovators like American Backhaulers reshaped the market around backhauls and empty miles.
• Echo’s real origin story: How Echo began as an outsourced transportation department for enterprise shippers before evolving into a tech-enabled, multimodal 3PL spanning managed trans, LTL, TL, partials, and intermodal.
• Why density is destiny in truckload: The hard-won journey from “calling around for rates” to building lane density and database pricing—and how acquiring Command doubled scale overnight and unlocked true competitiveness.
• The M&A playbook that actually works: Culture-first integration, treating founders like entrepreneurs, when to rebrand vs preserve identity, and how Echo consistently doubled/tripled acquired revenue by giving teams more modes and better tech.
• Managed transportation as a moat: How Echo embeds teams inside customers, integrates TMS-to-ERP, runs QBRs, and achieves ~96% renewal rates—creating long-term, high-stickiness relationships.
• AI as the next step-change in freight: Why AI is a task killer, not a job killer; how workflows happening 600,000 times a month get automated; and why adoption, incentives, and change management matter more than the model itself.

Time-stamped highlights

• (00:00) From three-martini lunches to deregulation shock and Doug’s early LTL years.
• (07:45) Deregulation fallout: bankruptcies, unions, and the rise of non-union carriers.
• (13:20) The tech turn: optimization, math, and the shift to data-driven networks.
• (18:40) The dawn of brokerage and how American Backhaulers changed the game.
• (23:30) Echo’s unexpected start as an outsourced transportation department.
• (29:10) Convincing LTL carriers to work with a broker—when most hated brokers.
• (34:55) Bootstrapping truckload: Echo’s early struggles and the path to $600M TL revenue.
• (39:30) The Command acquisition and unlocking the density flywheel.
• (43:50) Echo’s M&A playbook: talent, tech, and multimodal upsell.
• (49:20) Why Echo trains reps to sell both LTL and TL—and the payoff in share of wallet.
• (54:10) Inside managed transportation: design, integration, QBRs, and 96% renewals.
• (1:01:40) Public vs. private: life on the earnings treadmill and going private with TJC.
• (1:08:15) AI’s real impact: automating 600,000 tasks/month and freeing real capacity.
• (1:15:00) What makes automation stick: adoption, incentives, and change management.
• (1:20:00) Playing the long game: culture, trust, and the tech that truly endures.

Guest

Doug Waggoner — Chairman & Chief Executive Officer, Echo Global Logistics
Doug has led Echo through one of the most transformative runs in modern freight—guiding the company from its early days as an outsourced transportation startup through an IPO, 30+ acquisitions, the expansion into a multimodal 3PL, and ultimately a take-private deal. Under his leadership, Echo has become one of North America’s largest tech-enabled brokerages and managed transportation providers.

LinkedIn: https://www.linkedin.com/in/dougwaggoner/

Links & references

• Echo Global Logistics — tech-enabled multimodal 3PL and managed transportation provider: https://www.echo.com/
• Echo Global Logistics CEO Bio (Doug Waggoner) — official profile and background: Echo CEO page (echo.com)
• Article: Catching up with Doug Waggoner, CEO Echo Global Logistics — on freight conditions, capacity, M&A, and tech. (Logistics Management)
• Press: Echo Global Logistics CEO Doug Waggoner named a Notable Leader in Sustainability by Crain’s Chicago Business — recent recognition and sustainability highlights. (PR Newswire)

Brought to you by

VOOMA — Vooma helps brokers and carriers win and move more freight. Their AI Orchestration platform automates SOPs across the full Quote-to-Cash lifecycle helping teams focus on the tasks that actually move the needle for the business. Book a demo now: https://www.vooma.com/

Shawn McLeod, President of Axle Logistics, joins us to share how the Knoxville-based 3PL scaled from $17M to over $1B in revenue. We explore Axle’s “build your empire” culture, their six-week LaunchPad training program, and where they automate without losing the human relationships that drive freight. From hiring and retention to thriving in soft markets, Shawn delivers a playbook any brokerage or ops-heavy business can use.

Chapters:
00:00 — The hard lessons of first-time leadership
03:30 — Axle’s trajectory: from ~$17M to $1B+
07:30 — Culture as strategy: “Build your empire” and loud sales floors
12:00 — Avoiding micro-cultures when scaling offices
16:30 — Hiring at pace: signals that actually matter
22:00 — Training at scale: LaunchPad’s six-week ramp
27:30 — Retention: base vs. commission, fairness, and grind
34:00 — Where to automate first (repeat touches, doc QA, quoting)
41:30 — Keeping the human: when relationships beat automation
47:00 — Surviving soft markets: travel > excuses
52:30 — Leadership evolution and feedback loops

Key Takeaways:

• Culture is Axle’s #1 growth strategy — lose that, and you lose everything.
• LaunchPad’s six-week program speeds ramp time and improves throughput.
• Automate repetitive touches (document checks, quoting) but never the relationship.
• In down markets, Axle increases customer travel rather than cutting it.
• Hiring focuses on energy, work history, and coachability — not just interview polish.

Memorable Quotes:

• “Culture is number one in the strategy for growth.”
• “Automate the repetitive; never automate the relationship.”
• “Travel is the last thing you cut in a soft market.”

Links & Resources:

• Shawn McLeod — LinkedIn
• Axle Logistics — Website

Sponsor:
This episode is brought to you by Vooma — AI that unlocks revenue in your team’s inbox with automated quoting, order entry, tracking, and more. Learn more at Vooma.com.

From dispatch trainee to president, Jordan Reber unpacks how ARL Logistics scaled an agent-powered network by pairing offshore talent, selective automation, and a revamped cradle-to-grave model—without losing the relationship-first DNA. We dig into building hybrid teams in Colombia, “train-the-trainer” systems, cleaning messy TMS data, and ARL’s shift toward a revenue-engine sales structure.

What We Cover

• Career arc: Management trainee → dispatch → brokerage launch → ARL presidency
• Hybrid operating model: Staffing-assisted cradle-to-grave (Colombia ops + US client touch)
• Train-the-trainer: “Four super users” to eliminate perpetual entry-level retraining
• Sales structure 2.0: Splitting hunters (sales) and BDR/CS to speed response & enforce SLAs
• People vs process: EOS/Traction, shadow-work, and deleting steps before automating
• Tech partnerships: Why ARL co-builds with vendors and aims for 80/20, not edge cases
• Automation lens: Start with mundane, API/RPA bridges, humans as exception managers
• Data reality: TM3→TM4 migration, standardizing inputs, and the prize of drayage pricing data
• Risk & resilience: Receivables caution, tariffs, and modal shifts (intermodal ↔ OTR)
• Culture: Small wins daily, continuous training, and giving offshore teams a real voice

Playbook & Tactics

• Sit tech next to the business. Proximity shrinks build cycles and bakes in reality.
• Free reps to sell. Move load-building, T&T, and intake to an ops pod first—then automate.
• Design for exceptions. Automate 6–7 steps in a 10-step flow; humans handle the rest.
• Standardize input fields. Clean data starts at the source; train against exceptions.
• Measure the ROI. Track time saved, licenses retired, and throughput per seat.
• Organize for strengths. Separate “people-first closers” from “process-first executors.”

Notable Quotes

• “If the tech people would just sit next to the business people, you build product fast.”
• “Train four super users and you never have to train entry-level again.”
• “Those are two different roles—very few are great at both.”
• “Our motto is small wins every day.”

Resources Mentioned

• ARL Logistics (brokerage & agent network)
• US1 Industries (parent; proprietary TMS)
• Lean Solutions Group (nearshore ops)
• EOS / Traction (operating system)
• The Revenue Engine by Kara Brown (sales/marketing alignment)

Sponsor

Vooma — Back-office automation for freight brokerages. From AI document handling to ops streamlining, scale without the growing pains.

Freight market pulse + what’s next. Echo Global Logistics EVP Jay Gustafson breaks down why shippers are consolidating carrier networks, how continuous movement & drop-trailer programs create stability, and where AI + email automation will actually move the needle for brokerages and carriers.

We cover market conditions (soft but stable demand, high primary acceptance), the return of annual/biannual RFPs, the 50–250 truck carrier sweet spot, and how top carrier reps are now managing 100+ loads/day thanks to automation and stickier relationships. (FreightWaves)

Key Topics & Takeaways

• Market pulse (Q4 2025): Soft/stable demand; high primary acceptance; spot used surgically on low-volume lanes. Supply (driver count) is the lever to watch.
• Regulatory watch: DOT’s non-domiciled CDL rule could trim capacity; lawsuits argue lack of safety evidence. Monitor for ripple effects into 2026.
• Why shippers are consolidating now: Post-boom networks ballooned; with stability, shippers are pruning partners and going deeper with high-service providers.
• Contracting cadence: After a run of quarterly RFPs (2022–2024), many are shifting back to annual/biannual cycles to enable consistent capacity and service.
• Ops evolution: From 2005’s faxed rate sheets and no real-time visibility to today’s app/portal tracking and exception-led management.
• Productivity lift: Top reps doing 100+ loads/day is now possible via automation, sticky relationships, and inbound digital offers.
• Programs that create stability:
  • Continuous Movement: Dedicated-like weekly revenue commitments with per-mile tiers; lowers driver churn and guarantees capacity.
  • Drop Trailers: Flex for warehouse teams, fewer live-load constraints, scalable capacity; Echo is expanding via partners like Wabash TaaS.
• Tech stance: Meet carriers where they are—apps, portals, and email (still the dominant medium). Expect agentic AI to automate email-based offers and booking.
• Carrier segmentation sweet spot: Echo works all sizes, but the 50–250 truck range often yields the best strategic depth and share of capacity.

Guest

Jay Gustafson — EVP of Brokerage Operations
Company: Echo Global Logistics (https://www.echo.com/)
LinkedIn: https://www.linkedin.com/in/jaygustafson/
Jay has led Echo’s national brokerage operations since 2021, after joining the company in 2013; his team supports tens of thousands of carrier and shipper relationships across the U.S.

Brought to you by

Vooma — back-office automation for freight brokerages and 3PLs. Book a demo now: https://www.vooma.com/ 

Ryan Schreiber—Chief Growth Officer at Metafora—joins The Freight Show to unpack why most freight-tech projects fail before they start, how to reframe “the problem” as an operational one, and why a broker’s goal should be zero inbound calls. We dig into AI’s real promise (natural-language workflows at 3 a.m.), the orchestration mindset (people × process × tech), and how to redesign the carrier org around strategic sourcing → advanced booking → coverage instead of asking one rep to do it all.

Brought to you by

VOOMA — AI agents that help brokers/carriers win and move more freight. Book a demo: https://www.vooma.com/ 

What you'll learn

• Stop solving the wrong problem: Most “AI failures” are ops failures—misframed problems and incentives, not model quality.
• Zero inbound is the goal: Every inbound call is a lagging indicator that upstream work (quoting/follow-ups/coverage) slipped.
• Natural language as UI: Why chat/voice beats app labyrinths for drivers at 3 a.m.
• Orchestration > automation: Harmonize people, process, and tech so the system can triage work and scale capacity thoughtfully.
• Carrier org of the future: Cohort by strategic sourcing, advanced booking (≈48h), and coverage—and measure for carriers who want your freight, not just those who’ll take it.

Time-stamped highlights

• (00:00) Drivers don’t want a call—they want a fix: NLP and AI as “the 3 a.m. workflow.”
• (07:00) “Zero inbound” as a north star for brokers.
• (10:30) Orchestration defined: aligning process, tech, and UX.
• (14:45) Cloud-computing analogy for staffing & surge demand.
• (22:30) Pilots that flop: answering calls vs eliminating the need for calls.
• (29:45) Capacity Strategy: strategic sourcing → advanced booking → coverage.
• (36:30) “Carriers who want your freight” and how to measure fit.
• (41:45) Micro-decisions: when to post vs. invest in relationship routes.
• (43:30) Ryan’s signature: “I don’t know who needs to hear this, but…”

Links & references

• About Metafora (formerly CarrierDirect): https://metafora.net/ (transportation & logistics consulting + software)
• CarrierDirect → Metafora rebrand background: https://blog.metafora.net/rebrands-metafora-adds-industry-executive (blog + coverage)

Guest
Ryan Schreiber — Chief Growth Officer, Metafora
LinkedIn: https://www.linkedin.com/in/ryan-schreiber/

Freight analyst ≠ data analyst. In this deep dive, Chadd Olesen, co-founder & CEO of AVRL, explains why averages lie, how “composition scoring” beats lane-by-lane thinking, and what it really takes to make automated spot bidding profitable at scale. We get tactical on separating cost from margin, building region-first strategies, measuring MAPE, and why speed to quote (sub-second!) wins planners’ attention. We also talk participation rules, when not to bid, and how to use routing-guide gaps to win awards.

Brought to you by

VOOMA — back-office automation for freight brokerages & 3PLs (AI document handling, workflow automation). Learn more: https://www.vooma.com/

What you’ll learn

• Why averages are inflated (incumbents & core lanes) and how to price below “market” without racing to the bottom.
• Region > lane: composition scoring by market area, factoring deadhead, facility effects, and lead time.
• Cost vs. margin separation: modeling projected carrier cost at pick time, then layering margin—no black boxes.
• Automation that actually makes money: who should own it (pricing, not ops), and the cultural buy-in required.
• Speed as strategy: getting under 1s end-to-end to rank first in planners’ queues (Blue Yonder/API timeout realities).
• Participation rules: how 70–80% “respond/decide” mandates change bidding strategy—and when to opt out.
• Turning data into awards: using routing-guide gap analytics to win net-new freight.

Time-stamped highlights

• 00:01:02 — Chadd’s path from speaking at Walmart events to early enterprise 3PL customers; AVRL’s pivot to pricing.
• 00:06:09 — Elizabeth, NJ → Chicago vs. nearby Freehold: why two “identical” rates behave differently.
• 00:11:03 — How AVRL models probability of coverage by region and separates projected cost from margin.
• 00:17:06 — Who should own automated spot bidding (hint: your pricing org), and why MAPE matters.
• 00:20:00 — Market Intelligence Team: rebuilding rating engines, parallelizing data pulls, and getting sub-second.
• 00:24:45 — The real upside: 100% participation, routing-guide visibility, and data-led award wins.
• 00:29:30 — Avoiding nukes: why selective participation beats bidding “everything.”
• 00:33:55 — Benchmarks (DAT/Greenscreens): why people blame the data when they’re using it wrong.

Links & references

• AVRL homepage (company info & “18 companies per year” model). (avrl.io)
• Transport Topics on AI & optimization (AVRL’s monthly transactional volume quote). (TT News)
• Additional long-form interviews featuring Chadd & AVRL’s approach. (The Logistics of Logistics)

Guest

Chadd Olesen — CEO & Co-founder, AVRL (Austin, TX)
LinkedIn: https://www.linkedin.com/in/chadd-olesen/
Company: https://avrl.io/ (AVRL — Automation & pricing tech) (LinkedIn)

Freight fraud is evolving — gone are the days of just stolen cargo. Today’s attacks are digital: email hijacks, phone spoofing, “sold MCs,” and identity theft. In this episode, Michael Caney, Chief Commercial Officer at Highway, unveils how fraud works in 2025 and how his team is building the rails to stop it.

We dig into:

• Why fraud attempts spiked 27% in 2024, led by identity theft and inbox compromise 
• Highway’s new Trusted Freight Exchange (TFX)—a secure, identity-verified platform for brokers and carriers 
• Why rate confirmations in email are too risky, and the importance of real-time identity vetting 
• The tension between openness (marketplaces) and safety — how TFX leans into rules + rails over chaos 
• Culture as your firewall: why saying no and tracking overrides matter more than flashy features

Guest Bio:
Michael Caney is Chief Commercial Officer at Highway, leading efforts in identity-based verification, fraud detection, and building trust infrastructure in freight. He’s a frequent voice on freight tech, cybersecurity, and logistics strategy. See his appearances on FreightCaviar and Talking Transports. 

Why This Episode Matters:
Freight brokers and carriers often ask, “Do I really know who’s hauling my loads?” This episode arms you with facts, frameworks, and next steps to move past hope and toward certainty—before the next load vanishes.

Brought to you by:
This conversation is supported by Vooma, your AI-powered back-office automation for brokerages and 3PLs. Simplify workflows and reduce risk. Learn more at vooma.com.

2016 Formula One World Champion Nico Rosberg joins The Freight Show to unpack the mindset, mechanics, and team dynamics behind working with / competing with legends like Lewis Hamilton - and how those lessons now power his work as an entrepreneur and investor. We dig into sports psychology, meditation, micro-improvements, F1 team culture, and the insane logistics of moving a global racing circus every week. Nico also shares how he transitioned from the podium to Rosberg Ventures, what he looks for in founders, and why embracing failure compounds growth.

What you’ll learn

• How tiny habits and “½% gains” decide championships
• Training the mind: meditation, visualization, and handling red-mist moments
• Translating driver feedback into engineering wins (and why setup can swing you 10 grid spots)
• Team culture lessons from Mercedes: incentives, information sharing, and neutralizing turf wars
• The real logistics of F1: planes, pop-up facilities, and 2,000-person teams
• Venture playbook: building access, unique value props, and backing category leaders

Guest

Nico Rosberg (2016 F1 World Champion, Founder @ Rosberg Ventures)

LinkedIn: https://www.linkedin.com/in/nicorosberg/

Sponsor

This episode is brought to you by Vooma - the AI orchestration platform that helps brokers & carriers win and move more freight. Learn more: https://www.vooma.com/

Key ideas & quotes

• “As a high-performance athlete, the half a percent makes the difference.”
• “Mostly you already know what you’re doing wrong—it’s cumulative.”
• “Embrace failure. Most failures you can bounce back from—and they’re where you learn.”
• “You can’t win alone. Information sharing beats internal rivalries—every time.”

Chapters

• Rosberg’s path: karting → Williams → Mercedes → World Title
• Performing under extreme pressure & building a mental toolkit
• Engineering collaboration and why setup beats raw pace
• Inside the F1 logistics machine
• From champion to investor: the Rosberg Ventures thesis
• Team performance frameworks founders can copy

In this episode, we sit down with Drew Herpich, a freight industry veteran with nearly two decades of experience scaling brokerages and leading carrier sales teams. Drew brings a wealth of knowledge from the trenches, sharing insights on navigating today's challenging market conditions and what it takes to build successful freight operations.

Key Topics Discussed:

Market Analysis & Forecasting

• Why 2024 spot rate predictions missed the mark (forecast: 13-30% growth, reality: ~0%)
• The flattening of traditional freight cycles and what's driving it
• How real-time data and mini-bids are making shippers more nimble
• The shift from annual RFPs to continuous procurement strategies

Shipper Expectations & Procurement

• The growing influence of procurement teams in freight decisions
• Rising fraud concerns and carrier vetting priorities
• The balance between cost consciousness and service quality
• Why payment terms and pricing have become critical differentiators

Building High-Performing Carrier Sales Teams

• The essential traits that technology can't replace: work ethic and relationship-building
• Why AI agents won't replace human brokers for Fortune 500 accounts
• The evolving motivations of younger sales reps (hint: they're choosing time off over money)
• The importance of understanding truck drivers' experiences and challenges

Scaling a Brokerage

• Financial discipline required to scale from $50M to $1B in revenue
• The critical difference between booking loads and solving problems when things go wrong
• Buy-sell vs. cradle-to-grave models and when each makes sense
• Key metrics beyond margin: understanding cost per load in context

Industry Evolution

• Drew's hands-on approach: visiting truck stops and understanding driver life
• Why relationships and face-to-face interactions remain irreplaceable
• The role of AI and automation in streamlining operations
• Retention strategies and identifying A, B, C, and D players

Notable Quotes:

• "The rockstar is going to be the one that's able to build relationships at the end of the day. An AI agent is never going to be able to get $10 million per day out of a Fortune 500 customer."
• "Booking the load is the easiest part of our industry. The hard part is when you've got two extra pallets on the truck, or the seal's broken, or there's no appointment for four days."
• "If you're doing the easy task or looking for the easiest approach, those are things AI will replace."

Guest: Drew Herpich - LinkedIn: https://www.linkedin.com/in/andrewherpich/

Sponsor: This episode is brought to you by Vooma, the back office automation platform built for freight brokerages and 3PLs - https://www.vooma.com/

In this episode, Ali Shafi, CEO of SIO Logistics, shares insights on bootstrapping a freight brokerage without outside capital. He emphasizes prioritizing company culture over short-term revenue and discusses how AI is increasing load-to-rep ratios. Ali covers early-stage cash flow management, co-founder dynamics, and the benefits of counter-cyclical hiring. He advocates for evaluating tech investments over a 12-month horizon for proper ROI assessment. Throughout, Ali offers practical advice on building a resilient brokerage in today's evolving freight industry.

Top takeaways

• Bootstrapped & disciplined: Reinvest profits; build runway; avoid FOMO spending.
• Culture > revenue: Hire slow and for fit; “we work for our employees”; unlimited PTO.
• AI is here: Focus people on relationships & exceptions; let software handle repetitive tasks.
• Model shift: Hybrid cradle-to-grave + split supports higher volume/enterprise.
• Scaling math: Targeting 40–50 loads per ops rep/day with today’s tools.
• Counter-cyclical: Be ready to hire into down markets; measure ROI on a 12-month horizon.

Guest & company links

• Ali Shafi (LinkedIn): https://www.linkedin.com/in/shafiali/
• SIO Logistics (Website): https://sionow.com/

Tools mentioned

• Vooma (AI for brokers): https://www.vooma.com/

Chapter Markers (mm:ss – topic)

• 00:00 – Intro & Ali’s origin story
• 01:00 – From big-box brokerage to founder
• 03:30 – Bootstrapping realities: cash flow, prepaying carriers, factoring credibility
• 06:30 – Partnering with Cody Brown: trust & complementary lanes
• 09:30 – First hires, first office, first $1M in sales
• 12:00 – Culture over short-term revenue; unlimited PTO
• 15:00 – Why no outside capital (freedom & discipline)
• 18:00 – AI to erase “let me check” work; instant status & notifications
• 21:00 – Hybrid cradle-to-grave + split model for enterprise volume
• 24:00 – Load-to-rep targets (path to 40–50/day)
• 27:00 – Greedy when others are fearful: scaling in a down market
• 30:00 – Tech ROI over 12 months; change management that sticks
• 33:00 – Market cycles, mental game, and thick skin
• 36:00 – Biggest surprises & advice to new brokers

Notable Quotes (optional pull-quotes)

• “If you’re saying AI is coming, you’re already behind.”
• “We’ll choose culture over money—every time.”
• “Today is the worst AI will ever be.”

If you enjoyed this episode, follow the show and share it with a broker who’s scaling their ops team.

This episode is brought to you by Vooma - https://www.vooma.com/.
Level up your brokerage ops with automated quoting, instant status updates, and AI-assisted workflows. 

In this episode of The Freight Show, Mike and Jesse, co-founders of Vooma, sit down to discuss how a chance introduction between a strategist and a builder evolved into one of logistics’ most exciting automation platforms.

From early experiments—including wild ideas like training crows for last-mile delivery—to killing the wrong projects and zeroing in on freight’s biggest bottleneck, unstructured data, this conversation highlights the relentless problem-solving and intellectual honesty behind Vooma’s rise.

We cover:

• The origin story of Vooma, including how a South African slang word became the company name
• Early pivots, experiments, and lessons from projects that didn’t make it
• Why solving unstructured data entry unlocked massive opportunities for brokers and 3PLs
• The founders’ decision to build an in-person company in San Francisco and the trade-offs involved
• Vooma’s core values: hands-on execution, long-term games with long-term people, intellectual honesty, and “run with the ball” ownership
• How AI co-workers will reshape the freight broker role—removing repetitive tasks so humans can focus on strategy, growth, and customer relationships
• Why building culture, humor, and resilience matters as much as the tech itself

Mike and Jesse also share the books that shaped their thinking—from The Mom Test to Thinking, Fast and Slow—and even tackle the ultimate startup question: Would you rather fight one horse-sized duck, or a hundred duck-sized horses?

Chapters

• 00:00 – Welcome & Introduction
  Setting the stage for how AI and automation are reshaping freight.
• 00:34 – Meet Mike & Jesse
  The chance introduction that led to founding Vooma.
• 02:00 – Early Impressions & Complementary Skills
  Why their different strengths made them better together.
• 04:30 – Crazy Early Experiments
  From training crows to robotic last-mile delivery—what worked, what didn’t.
• 07:00 – Killing the Wrong Projects
  Lessons from pivots and finding the right entry point.
• 08:00 – The Origin of “Vooma”
  How a South African slang word shaped the brand.
• 09:00 – Discovering the Real Bottleneck
  Why unstructured data entry was freight’s hidden pain point.
• 13:00 – The Future of Freight Brokers
  AI co-workers, strategy over grunt work, and what brokerages look like in 5 years.
• 17:00 – Scaling With AI Agents
  Optimizing workflows, market visibility, and clearing inefficiencies.
• 18:30 – Why Build In-Person in San Francisco
  Trade-offs of geography, networks, and startup speed.
• 20:00 – Vooma’s Core Values
  Hands-on execution, long-term games, intellectual honesty, and “run with the ball.”
• 24:50 – Culture & Humor in the Trenches
  Why resilience and laughter matter in startups.
• 25:30 – Deep Dive Interviews
  How Vooma’s unique hiring process uncovers true values and fit.
• 27:30 – Books That Shaped the Founders
  From The Mom Test to Atlas Shrugged to Thinking, Fast and Slow.
• 30:00 – The Final Question
  One horse-sized duck vs. a hundred duck-sized horses—co-founder answers revealed.

If you sell into enterprise shippers, here’s the uncomfortable truth: your differentiator isn’t your pitch deck, your coverage story, or even your rate. It’s whether you can deliver predictable service and predictable economics inside a network built to eliminate volatility.

This episode pulls back the curtain on how a large enterprise shipper actually runs transportation procurement. Paul Estrada has spent nearly two decades leading procurement at scale, and he breaks down what most providers miss: the internal “cost vs. service” tug-of-war, why procurement lives on a scoreboard, how routing guides stay intact when markets swing, and what it really means to be a low-cost-to-serve partner. We get into radical data transparency, carrier enablement, index-based pricing, and why the best providers don’t just quote lanes—they explain the math behind sustainable pricing.

What you’ll learn

• How enterprise supply chains are actually organized: Why procurement, operations, manufacturing, and customer teams optimize for different goals—and how those tensions are managed.
• The two metrics that matter more than all others: Getting product where it’s needed, when it’s needed, at the lowest sustainable cost.
• Why procurement lives on a scoreboard: How performance is measured in dollars and cents—and why market cycles can make teams look like heroes or villains overnight.
• How enterprise shippers manage cost volatility: Dedicated capacity, portfolio mix, and risk mitigation as insurance—not ideology.
• Why carrier-agnostic procurement wins: How decisions are made across brokers, asset carriers, and dedicated fleets based on utilization and economics—not labels.
• What shippers actually look for in brokers: Sustainable pricing, operational intelligence, and the ability to explain how rates work—not just what they are.
• Why deep data sharing creates better pricing: How transparency around volumes, seasonality, and operating constraints leads to routing guides that hold up.
• How carriers are onboarded like employees: SOPs, portals, escalation paths, and training as a way to reduce churn and execution risk.
• The “Goldilocks” provider strategy: Why fewer, deeper relationships outperform wide, fragmented networks over time.
• How AI matters to shippers (and how it doesn’t): Why buzzwords don’t win business—but lower transaction costs do.

Time-stamped highlights

• (00:00) Paul Estrada and the Enterprise Shipper Lens
• (01:12) Breaking into Supply Chain and Procurement
• (02:42) Inside a Large Enterprise Logistics Organization
• (05:19) The Two KPIs That Everything Rolls Up To
• (06:40) Cost vs. Service and Internal Tension
• (08:52) The Operations Team as the Balancing Layer
• (10:16) Promotions, Firings, and the Procurement Scoreboard
• (12:27) Managing Risk and Volatility Across Cycles
• (14:46) Service Performance and Failure Points
• (16:31) Data Infrastructure and Fast Decision-Making
• (18:19) Optimization as a Cultural Advantage
• (20:45) Portfolio Thinking Across Carriers and Brokers
• (22:51) Brokers in Contractual Freight
• (24:18) Evaluating Provider Sustainability and Risk
• (25:54) Radical Data Sharing and Pricing Stability
• (30:08) Building a High-Quality Carrier Bench
• (33:47) What Separates Long-Term A-Player Providers
• (37:04) Becoming a True Shipper of Choice
• (40:21) Reading the Market and Rate Cycles
• (43:48) Index-Based Pricing and Trust-Based Partnerships

Guest

Paul Estrada — Director of Procurement, Niagara Bottling
Paul Estrada has spent nearly 20 years in transportation and supply chain leadership, with deep experience across operations and procurement at enterprise scale. He leads procurement strategy focused on cost optimization, service reliability, risk management, and long-term carrier partnerships—bringing a data-driven, relationship-oriented approach to one of the most complex logistics networks in the industry.

LinkedIn: https://www.linkedin.com/in/paulmestrada/

Links & references

• Niagara Bottling: One of the largest beverage manufacturers in the U.S. with a highly optimized supply chain — https://www.niagarawater.com/
• Dedicated vs. One-Way vs. Brokered Freight Models: Portfolio approaches to capacity and risk management
• Index-Based Freight Pricing: Contract structures tied to market indices

Brought to you by

Vooma - Vooma helps brokers and carriers win and move more freight. Their AI Orchestration platform automates SOPs across the full Quote-to-Cash lifecycle helping teams focus on the tasks that actually move the needle for the business. Book a demo now: https://www.vooma.com/

The freight market has trained most brokerages to chase volume, compete on price, and treat service lines like shiny add-ons. Evans Transportation took the opposite approach: build a durable business by leaning into complexity, building culture as a competitive advantage, and diversifying with discipline.

In this episode, Ryan Keepman shares how Evans — one of the rare family-owned brokerages still standing from the deregulation era — evolved from a Wisconsin brokerage built on relationships into a multi-division logistics operator supporting everything from envelopes to excavators. We unpack the real mechanics behind service-line expansion, why the “jack of all trades” strategy kills trust, and how Evans uses intentional culture and in-person connection to keep remote teams aligned as the company scales.

What you’ll learn

• How Evans Transportation survived deregulation and stayed family-owned: Why relationship-driven brokerage and early operational investments helped Evans outlast consolidation.
• The real reason Evans diversified into multiple divisions: Diversification wasn’t a growth gimmick—it was a strategic defense after losing top clients and recognizing weaknesses in truckload execution.
• Truckload procurement vs. traditional brokerage: How Evans built a carrier procurement engine designed to protect managed transportation performance rather than operate as a pure sales brokerage.
• The modern 3PL approach and blind bidding: How Evans structures managed transportation so shippers can keep multiple brokers in the mix while Evans competes fairly without undercutting.
• How managed transportation adoption has changed: Why most shippers are already using 3PLs, how the sales cycle has shifted to CFOs and VPs, and why strategic sponsorship matters.
• Why Evans avoids price wars and “broker poker freight”: Their focus on value, complexity, and long-term trust instead of transactional spot quoting.
• How to build trust by saying no: Why Evans intentionally accepted only 3 of 13 specialized moves to avoid failure and earn long-term credibility.
• The blueprint for launching new service lines: Why face-to-face time, slowing down, and releveling teams matters more than speed when integrating new divisions.
• Evans’ culture operating system: Quarterly in-person rhythms, shared experiences, and a “do life together” philosophy that fuels cohesion across remote leadership.
• AI as a relationship accelerator: How automation reduces noise so brokers can invest in carriers, deepen relationships, and drive better outcomes.

Time-stamped highlights

• (00:00) Introduction to Ryan Keepman and Evans Transportation
• (01:14) The Early Years and Founding Story
• (03:48) Starting Evans with High Risk and Early Challenges
• (07:32) Evolution from Brokerage to Managed Transportation
• (08:16) Early TMS Development and Technology Advantage
• (09:19) Leadership Transition to Ryan
• (10:02) Diversification Strategy and the Truckload Division
• (11:07) Expansion into Mexico, Specialized, Parcel, and Government
• (13:09) Managed Transportation and Truckload Procurement
• (16:28) Modern 3PL Model and Blind Bidding
• (19:55) Shipper Trends and Managed Transportation Adoption
• (24:35) Building a Moat with Parcel and Full-Suite Solutions
• (25:46) New Warehouse Product and Strategic Fit
• (28:28) Avoiding Price Wars and Competing on Complexity
• (32:00) Building Trust Through Gradual Growth and Saying No
• (35:08) Lessons Learned in Launching New Service Lines
• (40:08) Evans Culture and the “Do Life Together” Approach
• (44:16) Leading Distributed Teams with Quarterly In-Person Rhythms
• (48:10) Leadership Growth, Directness, and Personal Reflection

Guest

Ryan Keepman — CEO, Evans Transportation
Ryan Keepman has spent 19+ years at Evans Transportation Services, building his career across key accounts, sales leadership, and executive leadership roles. He became CEO in December 2020 after serving as President (2018–2020) and previously leading growth as Vice President of Logistics Sales (2014–2020) and Vice President of Key Accounts (2007–2020). Under his leadership, Evans has evolved into a diversified logistics partner spanning managed transportation, truckload procurement, Mexico, specialized solutions, parcel, government services, and new warehousing offerings—while maintaining a people-first culture built on trust, accountability, and shared experience.
LinkedIn: https://www.linkedin.com/in/ryan-keepman-75246610/

Links & references

• Evans Transportation: Family-owned logistics provider offering managed transportation and multimodal solutions — https://www.evanstrans.com/
• Strength to Strength (Arthur C. Brooks): A framework for reinvention and sustaining fulfillment through midlife transitions
• Transportation Deregulation (Motor Carrier Act of 1980): The policy shift that reshaped the freight brokerage industry

Brought to you by

VOOMA — Vooma helps brokers and carriers win and move more freight. Their AI Orchestration platform automates SOPs across the full Quote-to-Cash lifecycle helping teams focus on the tasks that actually move the needle for the business. Book a demo now: https://www.vooma.com/

The real bottleneck in freight technology isn’t innovation — it’s adoption, misaligned incentives, and the absence of ownership over cultural change. Jeff Dangelo has lived every side of that problem: early at TQL, helping scale MegaCorp Logistics, founding the freight collaboration platform Turvo, and now leading Fura as CEO.

In this episode, Jeff breaks down what really makes brokerages scale (and where common models break), why most “digital transformation” initiatives stall, and how Fura’s acquisition strategy targets underperforming brokerages and gets them from manual to digital in a matter of months. We dig into the trust-building required to integrate teams, how to decide whether to build vs buy software, and why AI can shrink the adoption gap by running “in parallel” with people — not forcing everyone to change overnight.

What you’ll learn

• How freight brokerages actually scale: Why TQL “played the percentages,” built a culture engine, and used hiring + activity math to compound growth.
• Cradle-to-grave vs team-based brokerage models: What breaks in the classic spin-out approach, and how MegaCorp kept teams intact to protect continuity and service.
• Why most digital transformations fail: The real blocker isn’t software — it’s behavior change, incentives, and lack of discovery/business-case selling.
• Fura’s M&A thesis in a down cycle: The three seller buckets, why “losing money or break-even” firms can be ideal, and how Fura modernizes fast.
• How to integrate culture without breaking it: The “earn trust” approach — engagement loops, surveys, all-hands, and executive sponsorship.
• Build vs buy decision-making: The matrix Fura uses (speed, business case, differentiation/IP) to decide what to own vs partner for.
• Network-based selling in freight: How Fura maps nodes (vendors/customers/suppliers), uses proof of impact, and links sales + ops to drive adoption.
• AI as an adoption accelerator: Why AI can run in parallel with people to reduce friction — and how that reshapes brokerage into a more strategic model.

Time-stamped highlights

• (00:00) Tech Adoption and the Manual-to-Digital Gap
• (01:00) Jeff Dangelo’s Freight and Tech Background
• (04:00) Early TQL and Boiler Room Culture
• (07:00) TQL’s Hiring and Scaling Engine
• (10:00) Data-Driven Growth and Hurricane Interns
• (14:00) The Cradle-to-Grave Churn Problem
• (18:00) MegaCorp’s Team-Based Fix
• (23:00) Selling Freight vs Selling Software
• (28:00) Turvo and the Adoption Challenge
• (33:00) Fura’s Consolidation Strategy
• (37:00) The Three Seller Buckets
• (41:00) Structuring Turnaround Deals
• (45:00) The Integration Trust Playbook
• (48:30) Standardizing Systems at Scale
• (50:30) Build vs Buy Decisions
• (51:30) The Future of Brokerage With AI
• (52:04) Closing Thoughts on Execution Over Vision

Guest
Jeff Dangelo — Co-Founder and CEO, Fura
Jeff is a freight industry veteran with 20+ years across brokerage, technology, and M&A. He helped scale TQL and MegaCorp Logistics, founded Turvo, and now leads Fura, where the team acquires and modernizes brokerages by combining automation, execution, and disciplined integration.
LinkedIn: https://www.linkedin.com/in/jeff-dangelo-8a7107a/

Links & references

• Fura: Brokerage + modernization platform focused on acquiring and digitizing underperforming brokerages — https://fura.com/
• Turvo: Freight collaboration platform Jeff founded focused on shared workflows across shippers, brokers, and carriers — https://turvo.com/
• TQL: High-output brokerage known for systems-driven hiring, training, and culture — https://www.tql.com/
• MegaCorp Logistics: Brokerage scaled with a more team-based operating model and continuity focus — https://www.megacorplogistics.com/

Brought to you by

VOOMA — Vooma helps brokers and carriers win and move more freight. Their AI Orchestration platform automates SOPs across the full Quote-to-Cash lifecycle helping teams focus on the tasks that actually move the needle for the business. Book a demo now: https://www.vooma.com/