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

📊 79% of supply chain organizations are increasing investment in AI and advanced analytics

📅 Data Point of the Day #236 – Tuesday

🧠 Takeaway: Competitive advantage is shifting from infrastructure to intelligence. The question is no longer whether to invest, but how fast to scale.

👶 Baby Chains: “Intelligence compounds.”

🐶 Bronxie the Bullwhip: “We’ll wait and see.”

📖 Source: Gartner Supply Chain Technology Trends Research

❓Where is AI delivering measurable impact in your network?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

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Lean Six Sigma Master Black Belt (MBB)

Certified Supply Chain Professional (CSCP)

Project Management Professional (PMP)

Most leaders struggle to make fast, factual, and forward looking decisions 
for your supply chain because the needed data is everywhere and rarely 
used. We combine data science with supply chain expertise to reduce data 
complexity so you can make smarter, faster, and more profitable decisions.
and elevate your supply chains

Our Vision
At Agillitics, we are the supply chain data scientists. Companies currently struggle to turn data into actionable insights. We believe companies can think bigger, work smarter, and learn faster once they have a sound data strategy, plan, and team to execute. To close this gap, Agillitics helps companies select & implement Business Intelligence, Analytics, and Supply Chain Optimization tools to enable better business outcomes and time savings through improved visibility, prediction, and actionable decision support.

Agillitics provides technology solutions and consulting services to empower companies to make data driven decisions, be more innovative, and continuously improve operations.

President & CEO

Director

Director, Implementation Services

Senior Manager, Professional Services

Solutions Consultant

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

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

📊 Only about 55% of supply chain organizations report having end-to-end visibility across their network

📅 Data Point of the Day #247 – Saturday

🧠 Takeaway: Visibility gaps create blind spots in planning and execution. Shared operational visibility often improves decisions before any new technology is deployed.

👶 Baby Chains: “You cannot manage what you cannot see.”
🐶 Bronxie the Bullwhip: “The spreadsheet says everything looks fine.”

📖 Source: Gartner Supply Chain Technology Survey; Deloitte Global Supply Chain Study

❓ Question: Where is visibility still fragmented in your supply chain today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Up to 40% of supply chain disruptions are detected internally before customers feel the impact

📅 Data Point of the Day #231 – Thursday

🧠 Takeaway: Early detection is a competitive advantage. The faster a disruption is identified, the more optionality teams retain.

👶 Baby Chains: “Speed of awareness drives speed of response.”

🐶 Bronxie the Bullwhip: “We found out when the customer called.”

📖 Source: MIT Center for Transportation and Logistics; Accenture Supply Chain Resilience Study

❓ How early are disruptions visible in your network?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

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📊 Improving inventory accuracy by just 1% can reduce safety stock by 2–3%

📅 Data Point of the Day #233 – Saturday

🧠 Takeaway: Small accuracy gains compound into meaningful working capital improvements. Precision reduces buffers.

👶 Baby Chains: “Accuracy frees cash.”
🐶 Bronxie the Bullwhip: “Let’s just add more safety stock.”

📖 Source: Auburn RFID Lab; GS1 US Inventory Accuracy Research

Where would a 1% accuracy lift change your balance sheet? ❓

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Companies with real time transportation visibility reduce detention and dwell costs by up to 15%

📅 Data Point of the Day #238 – Thursday

🧠 Takeaway: Visibility at the dock protects margin on the road. Precision timing reduces waste.

👶 Baby Chains: “See it early.”
🐶 Bronxie the Bullwhip: “The truck will show up.”

📖 Source: CSCMP State of Logistics Report; Gartner Transportation Research

Where does dwell time quietly erode your margins? ❓

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Organizations that standardize master data governance reduce planning cycle time by up to 30%

📅 Data Point of the Day #239 – Friday

🧠 Takeaway: Clean master data accelerates decisions. Governance is a growth enabler, not an IT project.

👶 Baby Chains: “Govern the foundation.”
🐶 Bronxie the Bullwhip: “We’ll clean it later.”

📖 Source: MIT Center for Transportation & Logistics; Deloitte Data Governance Research

How much time is lost to inconsistent data definitions? ❓

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

The New Reality in 2026?

I may be adjusting my thinking (just a little) with the early stories this year of people like Peter Steinberger and OpenClaw....

The rundown:
- Sells his first company for $100M+
- Spends 3 years in existential crisis
- Becomes jacked
- Comes back from retirement
- Vibe-codes 43 failed projects
- Project 44 is ClawdBot
- Goes viral
- Anthropic sends you trademark lawsuits
- Renames to MoltBot
- Crypto scammers hijack your accounts in seconds
- Secret rebrand to OpenClaw 
- Hits 180K GitHub stars
- Gets acquired by OpenAI

No VC funding.
No 100+ person team.
Just a solo founder + shipping.

Probably one of the wildest tech & AI stories of all time.

Legend.

Is this a sign of more solo creators replacing entire companies?

My advice to all the future leaders, recent graduates, and entrepreneurs is simple:
--You should be using AI at your job
--You should be using AI after work
--You should be using AI on the weekend

H/T: Linas Beliūnas for the story

Sandeep Patel Casey Winans

Building a Safer Internet with AI 🤖 | Scouting for top startups to invest in 💸 | The only newsletter you need for Finance & Tech at 🔔linas.substack.com🔔 | Financial Technology | FinTech | Artificial Intelligence | VC

Managing Partner at Veridian

Independent WMS Validation for 3PLs and Distributors

📊 Up to 20% of inventory in retail networks is classified as excess or obsolete

📅 Data Point of the Day #242 – Monday

🧠 Takeaway: Working capital quietly leaks when lifecycle management is reactive. Precision segmentation and active aging control protect both margin and cash.

👶 Baby Chains: “Aging inventory is a signal.”
🐶 Bronxie the Bullwhip: “It might sell eventually.”

📖 Source: IHL Group Retail Inventory Studies; Deloitte Supply Chain Survey

❓ What percentage of your network is sitting beyond its productive lifecycle?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

Supply Chain Lessons… by Order of the Peaky Blinders 🕵️‍♂️

The wait is over my friends!  Peaky is back after 4 years when it’s first full-length motion picture The Immortal Man releases today in theaters! 🤗

As we get ready for the continuation of this epic story we obviuosly can reflect on the powerful lessons Peaky gives us for managing the modern supply chain👇

1. Control the Supply Chain, Control the Market
 ↳ Tommy Shelby wasn’t just a player, he built the whole board.
 ↳ Lesson: Vertical integration = more power, more efficiency.

2. Data = Power (Even If It’s in a Little Black Book)
 ↳ Tommy’s sharpest weapon? Not muscle—intel.
 ↳ Lesson: Visibility, analytics, and planning keep you ahead of disruption.

3. Agility Under Fire
 ↳ From bookies to bootlegging to exports—Shelby Co. moved fast.
 ↳ Lesson: Agility in logistics and products is key in volatile times.

4. Know Your Partners, Watch Your Enemies
 ↳ Alfie Solomons was brilliant… and unpredictable.
 ↳ Lesson: Vet your suppliers. Relationships matter as much as contracts.

**Bonus** Pictured in Comments
5. Culture Drives Execution
 ↳ Loyalty turned chaos into strategy.
 ↳ Lesson: Aligned teams with clear purpose execute faster—and better.

💬 Which lesson hits hardest for your supply chain today?

📊 The average large supply chain organization runs over 20 different planning and execution systems

📅 Data Point of the Day #252 – Thursday

🧠 Takeaway: Complexity grows quietly over time. Simplifying the data layer often unlocks more value than replacing systems.

👶 Baby Chains: “Integration creates clarity.”
🐶 Bronxie the Bullwhip: “Which system has the real number?”

📖 Source: Gartner Supply Chain Technology Architecture Research

❓ Question: How many systems influence a single operational decision in your organization?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 75% of supply chain executives say AI adoption will significantly impact planning within the next three years

📅 Data Point of the Day #243 – Tuesday

🧠 Takeaway: AI is moving from pilot to priority. Adoption, not experimentation, will define competitive advantage.

👶 Baby Chains: “Adoption beats experimentation.”
🐶 Bronxie the Bullwhip: “We tested a pilot last year.”

📖 Source: Gartner Supply Chain Planning Research; McKinsey AI in Operations Study

❓ Is AI embedded in your planning process — or still being tested?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 82% of supply chain leaders say improving end to end visibility is a top strategic priority

📅 Data Point of the Day #240 – Saturday

🧠 Takeaway: Visibility is no longer a reporting feature. It is an execution requirement. When leaders cannot see across functions, speed and alignment suffer.

👶 Baby Chains: “You cannot manage what you cannot see.”
🐶 Bronxie the Bullwhip: “I have my dashboard.”

📖 Source: Gartner Supply Chain Executive Survey; CSCMP State of Logistics

❓ Where does visibility still break down across your network?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Organizations with advanced supply chain analytics are 2.5× more likely to outperform peers on service and cost metrics

📅 Data Point of the Day #249 – Monday

🧠 Takeaway: Analytics maturity accelerates decisions. Teams that trust their data act earlier and recover faster.

👶 Baby Chains: “Confidence in data accelerates action.”
🐶 Bronxie the Bullwhip: “Let’s wait for next month’s report.”

📖 Source: Accenture Supply Chain Analytics Study; Gartner Supply Chain Performance Research

❓ Question: Where would faster decision cycles create the most value in your network?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 End to end supply chain visibility can reduce expedite costs by up to 20%

📅 Data Point of the Day #235 – Monday

🧠 Takeaway: Visibility prevents panic shipping. Insight replaces reaction.

👶 Baby Chains: “See it early, ship it smart.”
🐶 Bronxie the Bullwhip: “Just overnight it.”

📖 Source: Gartner Supply Chain Visibility Research; McKinsey Logistics Cost Studies

How much of your freight spend is reactionary? ❓

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 43% of warehouse productivity loss is tied to unplanned interruptions and reactive work

📅 Data Point of the Day #237 – Wednesday

🧠 Takeaway: Flow breaks cost more than labor rates. Stability often drives more ROI than headcount reductions.

👶 Baby Chains: “Protect the flow.”
🐶 Bronxie the Bullwhip: “We’ll fix it live.”

📖 Source: WERC DC Measures Report; Industry Productivity Benchmarks

Where do interruptions most disrupt your operation? ❓

📊 Retailers with advanced S&OP processes achieve up to 2–4% higher revenue growth than peers

📅 Data Point of the Day #241 – Sunday

🧠 Takeaway: Planning maturity shows up in the P&L. Structured alignment between demand, supply, and finance translates directly into growth.

👶 Baby Chains: “Planning discipline drives performance.”
🐶 Bronxie the Bullwhip: “We will adjust next month.”

📖 Source: McKinsey S&OP Research; Bain Retail Operations Studies

❓ How mature is your S&OP process today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Warehouse labor productivity can improve by 20–30% when travel paths and task sequencing are optimized

📅 Data Point of the Day #254 – Saturday

🧠 Takeaway: Many warehouse productivity gains come from smarter orchestration of work rather than adding more labor.

👶 Baby Chains: “Optimization beats overtime.”
🐶 Bronxie the Bullwhip: “Let’s add another shift.”

📖 Source: WERC DC Measures; MHI Warehouse Productivity Research

❓ Question: Where does travel time consume the most labor in your DC today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 84% of supply chain leaders say improving real-time visibility is a top strategic priority

📅 Data Point of the Day #257 – Tuesday

🧠 Takeaway: Visibility is the foundation of modern supply chain execution. Without it, planning becomes speculation.

👶 Baby Chains: “You can’t manage what you can’t see.”

🐶 Bronxie the Bullwhip: “We’ll find out when the truck gets here.”

📖 Source: Gartner Supply Chain Technology User Wants and Needs Survey

❓ Question: Where is visibility still the weakest in your network today?

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

📊 Companies with formal S&OP processes are 2× more likely to outperform peers on revenue growth

📅 Data Point of the Day #234 – Sunday

🧠 Takeaway: Structured cross functional planning creates alignment before volatility hits.

👶 Baby Chains: “Alignment drives growth.”
🐶 Bronxie the Bullwhip: “We’ll figure it out next month.”

📖 Source: Aberdeen Group S&OP Benchmarking Study

How disciplined is your planning cadence today? ❓

#SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip

Very Humbled to share my first ever Ted Talk on….”AI”.  

What do you think? 🤣

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

If revenue per employee is flat while headcount rises, you’re not scaling. You’re diluting.

Most $10M–$50M ARR teams are measuring the wrong thing.
They celebrate hiring.

Elite teams watch revenue per employee.

Here’s what 2026 is quietly proving:
Growth doesn’t stall because opportunity disappeared.

It stalls because attention fragmented.
New ICP.
New vertical.
New pricing model.
New feature set.
New partnership.
All rational.
All defensible.

Collectively? Expensive.

Revenue per employee isn’t a finance metric.
It’s a focus metric.

Bootstrapped SaaS companies at $1M–$3M ARR average ~$110K per employee.

Equity-backed peers average ~$94K.

Capital didn’t create the gap.

Discipline did.

Fragmentation increases decision latency.

Decision latency expands Signal-to-Action Time.

And once SAT expands, velocity stops compounding.
You don’t lose because you’re wrong.

You lose because complexity expands faster than discipline.

Pressure test your system:
• If you asked three reps to define your ICP, would they say the same thing?
• Do your top 20 deals look similar — or random?
• Has revenue per employee improved in the last two quarters — or are you hiring into flat output?
• When was the last time you killed an initiative?

Elite teams don’t run more plays.
They run fewer — with intensity.

Focus multiplies revenue per employee.
Complexity multiplies meetings.

Week 7 of the 2026 Operating Series.

Link in comments.

VP of Sales | Scaled $25M → $65M ARR | Operating Discipline for Growth & Scrutiny

No new rule last week.

That’s the risk.

On Feb 13, FinCEN quietly operationalized its whistleblower portal.

Now AML, AI governance, and digital asset supervision gaps can be reported directly to enforcement — before an exam ever starts.

This changes the timeline.

Enforcement is no longer tied to regulatory cycles.

It’s tied to internal observation.

An email.
A Slack message.
A deferred monitoring upgrade.

Those can now become time-stamped federal evidence.

The real shift isn’t rulemaking.

It’s attribution infrastructure.

When regulators look back 24–36 months from now, the question won’t be:

“Did you know the rule?”

It will be:

“Can you prove you supervised in real time?”

Documentation is no longer defensive.

It’s existential.

Full breakdown in this week’s Brief. (Link in comments.)

US enforcement is accelerating through whistleblower infrastructure.

EU regulation is accelerating through statutory documentation and logging requirements.

Different systems.

Same burden.

You must be able to prove:

• What management knew
• When it knew it
• How it assessed applicability
• What action (or deferral) followed

Frameworks don’t fail companies.

Missing chronology does.

Your deal didn’t lose to a competitor.

It died in a conference room.

40–60% of B2B deals end in “no decision.”

Not lost.

Just never aligned.

At $10M–$50M ARR, most teams still sell to a champion.

But the real sale is to the committee.

If a deal is single-threaded beyond day 45, your forecast isn’t aggressive.

It’s structurally optimistic.

This week’s issue breaks down how elite teams prevent ghost pipeline.

Comment PLAYBOOK and I’ll send it.

taplio

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