Cosmo Tech | The Decision Twin Platform for Supply Chain, Finance & Asset Leaders at Fortune 500 Scale | Simulate Tomorrow. Decide Today.

I specialize in the messy middle of B2B SaaS scaling—taking companies from erratic growth to a disciplined, high-performance revenue engine.

Most sales teams don’t fail because they lack talent; they fail because of ambiguity.
When forecasts can’t be trusted, pipelines move only through founder heroics, and managers report activity instead of owning outcomes, you don’t need another playbook—you need an operating system.

My operating philosophy: Cadence | Ownership | Process

I install a repeatable flywheel of operational excellence:

Cadence
A rigorous Rhythm of Business—daily, weekly, and monthly operating cadence that surfaces execution risk early, before it becomes a board-level surprise.

Ownership
Managers own outcomes, not just activity. Forecasts are built bottom-up so leadership can commit without caveats.

Process
Qualification and execution are standardized before adding headcount, ensuring hiring is tied to capacity and real revenue impact—not hope.

The proof (Ekahau — SVP, Global Sales, 2019–2024)
	•	Revenue: Scaled $25M → $65M ARR in five years
	•	EBITDA: Increased $7M → $32M (margins ~20% → ~50%)
	•	Team: Built a 130-person global organization while reducing per-employee cost 25%

Selected wins
	•	Healthentic: Doubled ACV ($5M → $10M) and drove 10× pipeline growth through GTM transformation
	•	ControlCase: Delivered 34% YoY growth and 300% expansion revenue growth

Currently

Available for VP of Sales or Fractional GTM leadership with B2B SaaS companies $5M–$30M ARR. I also lead SalesGSS (revenue operating frameworks) and DigitalRegIntel (regulatory intelligence for AI/fintech).

The Senator perspective

Two terms as a Washington State Senator taught me the value of high-stakes negotiation and public accountability. I bring that same discipline to sales: clear ownership and execution when the pressure is real.

“Steve is ‘Instant Offense’ for sales—rare and valuable. World-class at creating strategic, data-driven sales teams.”
— Jeff O’Mara, CEO (Healthentic) / GM (Ekahau)

Steve Litzow

AI didn’t kill sales reps.
It killed excuses.

In 2026, AI isn’t a productivity tool — it’s a truth serum.

It exposes:
• Broken process
• Weak management
• Fake activity dressed up as “effort”

If your sales motion is tight, AI compresses time-to-decision.
If it’s sloppy, AI just produces more noise — faster.

Most $10M–$50M ARR teams are about to learn this the hard way.

This is Week 1 of the SalesGSS 2026 Operating Series.
Eight weeks. Eight uncomfortable truths.

AI didn’t come for your reps.
It came for your excuses.

Comment “2026” if you want the series.

VP of Sales / Fractional VP (B2B SaaS, VC & PE-backed) for $5M–$30M B2B SaaS | Scaled $25M → $65M ARR | SalesGSS

Your closers aren’t the problem.
Your committee is.

Roughly half of qualified B2B deals don’t lose.
They stall.
“No decision.”

At $10M–$50M ARR, the pattern is consistent:
• Strong champion
• Positive calls
• Deal “feels good”

But it’s single-threaded.

One relationship trying to carry internal selling across:
Finance. IT. Security. Procurement. Operations.

The closer is persuasive.
The organization isn’t aligned.

With 10+ stakeholders involved, persuasion no longer scales.

Elite closers in 2026 aren’t smoother.
They’re better at internal selling.

They multi-thread early.
They equip champions.
They sell the decision process.

Quick diagnostic:

Can your reps name five stakeholders—and each one’s priority—in their top deals?

If not, you’re optimized for persuasion when you need consensus.

Week 2 of the SalesGSS 2026 Operating Series.
(Week 1: AI doesn’t fix execution—it exposes it.)

Comment “2026” if you want the series.

If you can’t prove value in the first 60 days, you don’t have a deal.

In 2026, long sales cycles aren’t what kill deals.

Delayed proof does.

Buyers will wait longer to buy —
but they won’t wait longer to know if they made the right decision.

57% of B2B buyers expect positive ROI within 3 months — not at renewal.

If a champion can’t point to a concrete win inside 60 days:

Confidence erodes
Finance steps in
“Commit” turns into “let’s wait and see”

That’s why the strongest teams aren’t closing faster.

They’re proving faster.

They define Day-60 success before the contract is signed.
They scope for proof, not size.
They treat time-to-value as a deal quality metric, not a CS problem.

If value only shows up at renewal, the deal was insured by hope — not evidence.

This is Week 3 of the SalesGSS 2026 Operating Series.
Next week: why slow product cadence is becoming a silent deal-killer.

This week’s regulatory signal isn’t clarity — it’s formation.

In the U.S., digital asset market structure legislation stalled again. In the EU, regulators are already questioning AI Act transparency practices well ahead of enforcement.

Different jurisdictions. Different tools. Same supervisory pattern.

Expectations are forming before rules finalize — and long before penalties appear.

That’s what shows up later in:
- Board and audit committee questions
- nvestor and acquirer diligence
- Bank and payment-partner reviews

Not “what did the law eventually say?”
But “what did leadership understand and monitor as expectations evolved?”

I publish a short Digital Regulatory Intelligence brief each Tuesday that documents these early supervisory signals — not predictions, not legal conclusions — just what’s forming in real time.

Most regulatory risk doesn’t show up as a rule violation.

It shows up later as a question regulators now ask routinely in enforcement actions:

“When did you become aware of this risk?”

Across new digital regulations and recent enforcement matters, regulators have shifted from checklist compliance to supervisory posture — an expectation of continuous, documented awareness.

Exposure today isn’t just what you did.
It’s what you reasonably knew — and when you knew it.

That’s why this is increasingly a board-level issue, not a compliance exercise.

Curious how others are documenting supervisory awareness before it’s asked for.

When supervision exists only in email, it doesn’t exist at all.

This week didn’t bring a sweeping new regulation.
That’s exactly the risk.

Across the U.S. and EU, regulators continued applying existing authority while legislative clarity remains unresolved. That combination — active enforcement discretion + unresolved rules — is where most future compliance failures are born.

Fast-forward 24–36 months and the question won’t be:

“Was the guidance clear?”

It will be:
“What did you know — when did you know it — and how was that knowledge supervised?”

This week alone:

SEC and CFTC signaled regulatory coordination is moving forward without Congress
EU AI Act transparency expectations quietly locked in
FinCEN delayed rules while Treasury intensified enforcement
Enforcement volume dropped — but guidance-based expectations accelerated

None of this required a new rule. All of it creates exposure.

If your supervisory awareness lives in emails, Slack threads, or people’s heads, it won’t survive diligence, exams, or enforcement.

That’s why we published this week’s DigitalRegIntel Supervisory Brief — and why we believe supervisory awareness needs a system of record, not a newsletter.

Because when the question comes,
explanations don’t count. Records do.

This week’s brief formally documents each supervisory signal referenced above.

#RegulatoryCompliance #DigitalAssets #AIGovernance #RegTech #Compliance

Tim is currently the President & CEO of Agillitics, a technology solutions and consulting services firm based in Atlanta, GA.  Agillitics empowers companies to make data driven decisions to improve operational performance, enable innovation, and drive competitive advantage.

Certified: ►Supply Chain Professional (CSCP) ►PMP ►Lean Six Sigma Master Black Belt

Tim is experienced consulting and sales director with proven ability to manage large cross-functional teams, identify, design, implement innovative business solutions, and build sustained client relationships. Tim has a diversified background in retail, consumer products, e-commerce, automotive, industrial goods and services, logistics, and government. Tim also has a demonstrated ability to deliver results that have a measurable, positive impact on a clients’ bottom line while bridging the gaps between strategic vision, technological innovation, and operational execution.

Tim has designed innovative supply chains from the ground up and directed implementations across multiple verticals and  service offerings including Warehousing, Labor Management, Transportation, Order Fulfillment and Business Intelligence for a large list of clients/partners including:  FEMA (Federal Emergency Management Agency), DELL, AVON, Mary Kay, The Home Depot, Newell Rubbermaid, Republic National Distributing Company (RNDC), Donaldson Corporation, Siemens, Genuine Parts Company, Pendleton Woolen Mills, Orvis, Carter’s, Sigma Aldrich, etc.

Tim has an MBA and BS in Industrial & System Engineering from Georgia Institute of Technology.

Specialties: Supply Chain Management Strategy, Planning, and Execution (Warehousing, Transportation, Labor, Order Fulfillment, Material handling equipment, Business Intelligence, etc.), Project and Program Management, Performance and Process Optimization, Operations/Process Design, Risk Management and Mitigation, Strategic Management Consulting, and Change Management.

Tim Judge

🎥 Another Amazing Manhattan Associates Partner Day in the Books

Super pumped now for an amazing 2026.  I love kickstarting the year with the 1-2 punch of NRF followed by MA Partner Day!

You can definitely feel the buzz in the air this year with some fresh leadership, plenty of old faces, brand new exciting tech revealed, and lots of cool things on the horizon.

Thanks as always to Eric Lamphier, Robert Flather, Martin Lockwood, Hannah Draper, Abby Cannon for putting on a great day!

Eric Clark, Greg Betz, Bob Howell - Super excited on direction you are headed.  The focus on partnerships definitely came across loud and clear 🙏 

Brian Kinsella, Sanjeev Siotia - Very excited where the products are heading, especially around Agent Foundry.  Our customers are already buzzing about it and the use cases are almost unlimited.

Also loved the great sessions across Marketing, Sales, Product, and Services.   Thanks you  Liz Sophia, Chris Shaw, Jon Liberman, Robby Dewling, Thomas Lichtwerch, Ellie Crawford, Amy Tennent, Brett Lindner, Ryan Gifford, Adam Kline, Peter Schnorbach, Bryant Smith, Warren Rojas, Heather Mahan for the awesome updates and allowing us some snacks and coffee in between.

Thank you Manhattan Associates as always for an amazing day, an incredible lifelong partnership, and creating a one-of-a-kind ecosystem of the best supply chain people around 🙌 

Hope to see you all again at Momentum in Vegas in May!

#supplychainmanagement #supplychain #manhattanpartnerday26 #pushpossible

Rescuing Supply Chain Leaders Drowning in Data but Starving for Insights | CEO at Agillitics | Supply Chain Analytics

📊 Retail supports 55 million U.S. jobs and $5.3T in GDP

📅 Data Point of the Day #188 – Wednesday

🧠 Takeaway: Retail operations are economic infrastructure.
Operational decisions ripple far beyond the DC.

👶 Baby Chains: “Operations matter more than people realize.”

🐶 Bronxie the Bullwhip: “No pressure…”

📌 Source: NRF Retail Impact Report

❓ Question: How do you measure operational decisions beyond cost?

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📊 Forecast bias typically drives 30–50% of forecast error in retail demand plans

📅 Data Point of the Day #207 – Monday

🧠 Takeaway: Most forecast error is not randomness. It is structural bias embedded in assumptions, overrides, and incentives that go unchallenged.

👶 Baby Chains: “Bias is just unmeasured error.”

🐶 Bronxie the Bullwhip: “We adjusted it because last year felt different.”

Source: Gartner Demand Planning Research; Foresight Journal

Where does bias enter your forecasting process today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Retailers with high inventory visibility are up to 2.5× more likely to meet customer promise dates

📅 Data Point of the Day #207 – Tuesday

🧠 Takeaway: Service reliability is driven by visibility and accuracy, not speed alone. When inventory positions are trusted and timely, execution becomes predictable and customer promises become achievable.

👶 Baby Chains: “Reliable promises start with reliable inventory.”

🐶 Bronxie the Bullwhip: “We shipped it fast… just not the right thing.”

Source: Gartner Supply Chain Planning Research; NRF Retail Operations Studies

Where does lack of inventory visibility most often break customer promise in your network?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

In 2026, can we all agree we ALL now work in "Digital" and use "AI" as part of our "Strategy" to "Transform" 🤣 

Therefore such words can be safely removed from our titles 😱 

That is all.

📊 65% of retail SKUs contribute less than 5% of total margin

📅 Data Point of the Day #203 – Thursday

🧠 Takeaway: Complexity hides in the long tail, quietly consuming planning, replenishment, and execution capacity with very little return.

👶 Baby Chains: “Not all SKUs deserve the same level of attention.”

🐶 Bronxie the Bullwhip: “Every SKU is strategic… right?”

Source: Bain Retail Economics; NRF Merchandising Research

How often do SKU decisions reflect margin reality vs assortment tradition?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Retailers lose up to 25% of inventory value due to overstocks, markdowns, and obsolescence
 
🗓️ Data Point of the Day #198 – Saturday

🧠 Takeaway: Inventory is a margin lever, not a buffer.
Excess inventory quietly erodes profit long before it shows up in financials.

👶 Baby Chains: “Inventory you don’t sell still costs you.”

🐶 Bronxie the Bullwhip: “But we might need it later…”

📌 Source: IHL Group, Inventory Distortion Study

❓ Question: Where does excess inventory hide longest in your network?

📊 Warehouses using regular cycle counting see inventory accuracy improve by 10–15 percentage points

📅 Data Point of the Day #209 – Wednesday

🧠 Takeaway: Cycle counting is one of the highest ROI operational disciplines. Small, frequent checks prevent errors from compounding and restore trust across planning, fulfillment, and finance.

👶 Baby Chains: “Accuracy improves when you check reality often.”

🐶 Bronxie the Bullwhip: “We will fix it at the annual physical inventory.”

Source:; APICS Operations Management Research

Where does inventory accuracy break down most often between counts today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

🎥 NRF is a wrap...what's next?!

NRF reinforced a theme we’ve been circling for a while: retail has moved past experimentation and into execution.

Across 100+ countries represented, the same signals kept showing up:
 • Inventory accuracy directly tied to customer promise
 • Labor still dominating warehouse cost structures
 • Demand volatility continuing to rise
 • Value leaking through overstocks, markdowns, and obsolescence

What stood out most wasn’t a new tool or shiny platform.

It was alignment around trusted data, faster feedback loops, and decisions that actually get executed.

Now the conversation shifts from NRF to what’s next:
 ➡️ RILA
 ➡️ Manifest

Same themes. Deeper operational focus. Higher expectations.

Curious to see how retailers turn momentum into measurable results in the months ahead.

Which one will you be attending, or both  (RILAFEST🤟)? 😱

📊 Transportation invoice errors impact 1–3% of total freight spend

📅 Data Point of the Day #206 – Sunday

🧠 Takeaway: Small error rates compound fast at scale. Freight audit is not about catching mistakes after the fact. It is about eliminating the process gaps that create them.

👶 Baby Chains: “Accuracy scales savings without cutting service.”

🐶 Bronxie the Bullwhip: “It is only a small error on each invoice.”

Source: Accenture Transportation Benchmarking; Cass Information Systems

How much freight spend is reviewed systematically versus assumed correct?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 159 million consumers shopped on Super Saturday

📅 Data Point of the Day #185 – Sunday

🧠 Takeaway: Peak demand is now compressed, not spread out. Retail operations must flex faster within narrower windows.

👶 Baby Chains: “Peak is a moment, not a season.”

🐶 Bronxie the Bullwhip: “Everything hit at once.”

📌 Source: NRF Super Saturday Survey

❓ Question: How fast can your operation surge and recover?

📊 Retailers with synchronized item, location, and supplier data reduce replenishment lead time variability by up to 20%

📅 Data Point of the Day #210 – Thursday

🧠 Takeaway: Lead time reliability improves when master data is aligned across merchandising, supply chain, and suppliers. Variability shrinks when everyone plans from the same definitions and calendars.

👶 Baby Chains: “Consistency in data creates consistency in flow.”

🐶 Bronxie the Bullwhip: “The lead time changed again?”

Source: Gartner Supply Chain Data Management Research; MIT Center for Transportation and Logistics

Where does lead time variability show up most often in your network today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 71% of retail supply chain leaders plan to increase technology investment this year

📅 Data Point of the Day #213 – Sunday

🧠 Takeaway: Technology spend is shifting from experimentation to execution. The focus is now on platforms that reduce friction and improve daily decision making.

👶 Baby Chains: “Tools matter when they remove work.”

🐶 Bronxie the Bullwhip: “We added another system.”

Source: RILA State of the Retail Supply Chain Report

Where is technology still adding effort instead of removing it?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 NRF reports retail sales up 4.5% year over year entering peak

📅 Data Point of the Day #189 – Thursday

🧠 Takeaway: Demand strength magnifies execution gaps. Strong sales don’t hide weak processes — they expose them.

👶 Baby Chains: “Volume reveals truth.”

🐶 Bronxie the Bullwhip: “Everything feels tighter.”

📌 Source: CNBC NRF Retail Monitor

❓ Question: What broke first as volume accelerated?

Problem solved!  Thanks GPT!

“Code is cheap. Clarity is expensive.”

🙋‍♂️ Question: Please help!  How do i teach my coders to STOP coding and just Vibe?

💡 You don’t stop coders from coding. You time-box it and reward the vibe.

How to teach “vibe mode”
	1.	Rename it: Call it Discovery, Whiteboard, or Problem Framing. Coders respect intent.
	2.	No-IDE rule: Laptops closed. Markers only. If it can’t be drawn, it’s not ready.
	3.	Problem before solution: One sentence. Who hurts. Why. What “better” means.
	4.	Architecture karaoke: Everyone explains the system out loud from memory.
	5.	Delay dopamine: Coding starts tomorrow. Today is about thinking, not shipping.
	6.	Praise restraint: Celebrate the dev who didn’t open VS Code.

Mantra to repeat:

“Code is cheap. Clarity is expensive.”

Reward the Vibe 😂

graphical user interface, text, application

📊 Retail’s Big Show represents brands from 100+ countries

📅 Data Point of the Day #194 – Tuesday

🧠 Takeaway: Retail complexity is global and shared.
Best practices now travel faster than ever.

👶 Baby Chains: “Learning compounds.”

🐶 Bronxie the Bullwhip: “Same problems everywhere?”

📌 Source: NRF Big Show Who Attends

❓ Question: What lesson from another retailer changed your approach?

RILA, Manifest…..Both?

Bronxie is confused whether he is in Orlando or Vegas.

But don’t worry!

We got you covered! 

VIP events at both this year.  🍾🥂

DM me if you will be at either and want to connect 🙌🤝

📊 Nearly $850B in merchandise is expected to be returned this year

📅 Data Point of the Day #186 – Monday

🧠 Takeaway: Returns are now a core supply chain motion.
Reverse logistics determines post-peak recovery and margin.

👶 Baby Chains: “Returns are supply chain work.”

🐶 Bronxie the Bullwhip: “I thought peak was over…”

📌 Source: NRF Returns Forecast

❓ Question: How prepared is your network for returns velocity?

📊 45% of Super Saturday shoppers used both online and in-store channels

📅 Data Point of the Day #187 – Tuesday

🧠 Takeaway: Omnichannel execution depends on shared truth.
Disconnected inventory and order data breaks promises instantly.

👶 Baby Chains: “One customer. One inventory.”

🐶 Bronxie the Bullwhip: “Wait… where did it sell?”

📌 Source: NRF Consumer Shopping Survey

❓ Question: Where does omnichannel still fracture in your network?

📊 Retailers using real-time fulfillment visibility reduce order exceptions by 20–30%

📅 Data Point of the Day #202 – Wednesday

🧠 Takeaway: Visibility is most powerful when it reduces firefighting and manual exceptions, not when it just adds another dashboard.

👶 Baby Chains: “Seeing problems earlier is the fastest way to reduce work.”

🐶 Bronxie the Bullwhip: “We didn’t see it coming… again.”

Source: McKinsey Retail Operations Research

Where do most of your fulfillment exceptions actually originate?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

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The Battle

Steve Litzow

Tim Judge

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The Battle

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Tim Judge

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Engagements

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Steve Litzow's LinkedIn Performance

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Performance ScoreSteve Litzow's LinkedIn Performance