25% faster go-lives for Fortune 500 companies—here’s how.

I turn supply chain chaos into your #1 competitive edge.

Over 16 years, I’ve partnered with global retail, manufacturing, logistics, and e-commerce leaders to drive results like:

25% faster WMS/OMS implementations—projects delivered in months, not years
18–30% boosts in system performance—getting more from your tech, every day
$15M+ in client savings—through smarter slotting, operations, and integration strategies

What sets my approach apart?

I don’t just optimize software—I unlock hidden profit in your supply chain by crushing delays, tackling integration headaches, and eliminating bottlenecks that stall growth.

Here’s what my clients say:

“Cut our deployment time in half—best WMS/OMS partner we’ve had.”
“We recouped millions in one year. Wish we’d called you sooner.”

Let’s stop the leaks and start compounding ROI.
DM me for proven playbooks, client case studies, or to book a Supply Chain Strategy Session (link in bio).

The most ambitious teams win with the fastest, best-fit supply chains. Let’s get you there.


If you’re ready to stop firefighting and start scaling, let’s talk.
📩 Message me here on LinkedIn
📅 Book a Supply Chain Strategy Call Today (Link in Bio)

Last month, Ohio client paid me $17K for a supply chain audit.

4 hours later, I found $3.2M in hidden waste.

Their previous $50K audit found nothing.

Not because I'm smarter.

Because I look where consultants don't.

Big firms audit your paperwork.

I audit your 8 am warehouse reality.

They analyze your WMS data.

I watch how workers actually bypass it.

That $3.2M discovery:

• CFO's dashboard: 98% efficiency

• My observation: 31% of inventory moves twice

• Root cause: System designed for paper, not people

The ROI was visible before lunch.

16 years. 300+ audits. Same pattern:

The expensive problems hide in plain sight.

Between the spreadsheet and the loading dock.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

Your supply chain isn't broken where you think it is.

It's broken where nobody's looking.

Shylaja Kadamby

Sales Navigator

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Mayank Siotia | LinkedIn

Driving 7-Figure Savings in Supply Chain | WMS/OMS Authority | 16+ Yrs Transforming Retail, Manufacturing & Logistics | 25% Faster Go-Lives, 30% Better System Performance

Your warehouse loses $50K every month.

Not from theft or damage.

From the 6-second delay in your barcode scanner.

I audit 30+ warehouses annually.

The expensive problems are never expensive.

They're tiny friction points multiplied 10,000 times.

That scanner delay?
• 6 seconds per scan
• 500 scans per worker per day
• 20 workers
• = 16.7 hours of pure waste daily

That's $50K monthly in labor doing nothing but waiting.

Fix the basics before you scale the team.

A $200 scanner beats a $40K salary every time.

I was told to lead like a man. I chose to lead like myself.

When I started in this industry, I was told to “toughen up.”

So I tried.

 I learned to speak sharper, move faster, show less.
 But the more I tried to fit the mold, the more I lost my impact.

Then one day, I stopped.
 I led the way I naturally do - with empathy, collaboration, and calm consistency.

And that’s when everything changed.
- Performance went up.
- Turnover went down.
- Teams started trusting, not just executing.

The traits women were once told to suppress are now the competitive edge of leadership.

🔥 Book a discovery call here:https://lnkd.in/gV3_u6Jr

The future of operations isn’t masculine or feminine.
 It’s human.

332K impressions in 90 days.

From supply chain to LinkedIn voice.

Not through viral hacks.

Through warehouse TRUTH.

WEEK 1-4: Posted daily about what I see

WEEK 5-8: Started naming the problems

WEEK 9-12: The compound effect hit

My mission isn't LinkedIn fame.

It's supply chain reality.

The truth nobody posts:

• 31% of inventory moves twice
• Workers bypass every "smart" system
• CFO dashboards show 98% efficiency

Meanwhile, your margins disappear.

Supply chain awareness starts with one post.

One truth nobody else will say.

Your best-performing warehouse has the WORST metrics.

And I can prove it.

Tracked 500 warehouses for 2 years.

The pattern shocked everyone:

Warehouses with 99.9% accuracy → 47% higher operating costs
Warehouses with 96% accuracy → 31% more profitable

Why?

Perfect metrics mean your workers are scared.

Scared workers don't report problems.

They hide them.
They create workarounds.
They build shadow systems.

That 3.9% "error rate" in profitable warehouses?

It's not errors.
It's innovation.
Workers trying faster methods.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

Your supply chain doesn't need perfection.

It needs permission to fail.

P.S. Amazon warehouses run at 94% accuracy. Think about it.

They were losing money every week and nobody could explain why.

The data said everything was fine. The reports said costs were stable.

But the profit margin kept shrinking.

So I did what no one else had time for. I went to the warehouse!

And there it was!
A single $0.12 label being printed twice on every order.

It didn’t sound like much,
 until we realized it was happening 400,000 times a month.

One tiny inefficiency, multiplied by silence.

We fixed it in a day.
Recovered $480,000 in a quarter.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

Big losses rarely start big.
They start small and stay hidden behind “it’s just how we do it.”

Your supply chain isn’t broken — your data assumptions are.

Most leaders blame disruptions, suppliers, or forecasting models.

But the real failure point?
The invisible assumptions baked into your data.

 And the numbers don’t lie:

 68% of supply chain data is “not fit for purpose” according to Gartner.

 47% of inventory inaccuracies come from upstream master-data issues.

 Up to 30% of forecast error is caused by bad assumptions, not bad algorithms.

 Companies waste $10M+ annually in working capital because safety stock is calculated on outdated parameters.


Let me make it real:

Your lead time hasn’t been updated in 18 months.

Your “safety stock formula” still assumes 2020 volatility. (We all know what that was like)

Your demand signals don’t adjust for promo distortion.

Your supplier performance metrics don’t reflect actual cycle times.

Your MOQ rules were created by someone who left three years ago.

And yet… every critical planning decision is built on top of these assumptions.

So of course the system looks “broken.”

But your supply chain isn’t failing, your inputs are lying to you.

The highest-performing supply chains do one thing exceptionally well:

They continuously audit and refresh their data assumptions —> monthly, not annually.

Because when assumptions change, performance changes.

If you want a quick diagnostic this week, ask your team:

➡️ “Which of our planning assumptions are older than our last disruption?”

That question alone has unlocked millions for my clients.

Walmart figured this out in 1987.

Amazon perfected it in 2012.

Your competition is discovering it now.

The fastest supply chains run BACKWARDS on purpose.

Traditional flow:

Supplier → Warehouse → Distribution → Store → Customer

What actually works:

Customer behavior → Store patterns → Distribution → Warehouse → Supplier

I discovered this auditing 200+ supply chains.

Your entire supply chain is built on a lie:

That inventory should flow forward.

It shouldn't.

Information should flow backward.

Then inventory follows.

𝗡𝗼… 𝗿𝗲𝘁𝗮𝗶𝗹 𝘀𝘂𝗽𝗽𝗹𝘆 𝗰𝗵𝗮𝗶𝗻 𝗶𝘀𝘀𝘂𝗲𝘀 𝗮𝗿𝗲 𝗡𝗢𝗧 𝗰𝗮𝘂𝘀𝗲𝗱 𝗯𝘆 “𝗽𝗼𝗼𝗿 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴.”

𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗰𝘂𝗹𝗽𝗿𝗶𝘁.

Everyone in retail blames the forecast.
But here’s the truth:

𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝘀 𝗱𝗼𝗻’𝘁 𝗳𝗮𝗶𝗹.

𝗕𝗿𝗼𝗸𝗲𝗻 𝗿𝗲𝘁𝗮𝗶𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗱𝗼.

In almost every retailer I work with, the “forecasting problem” is actually:

🔹 Dirty store + SKU-level data
 (You can’t predict what you can’t see.)

🔹 Promo noise that never gets normalized
 (Discounts destroy signal… then teams wonder why accuracy drops.)

🔹 Disconnected tech stacks
 (E-comm, stores, DCs, all running their own version of reality.)

🔹 Local decisions that break global flow
 (One region over-orders; another goes out of stock.)

𝗙𝗶𝘅 𝘁𝗵𝗼𝘀𝗲, 𝗮𝗻𝗱 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗳𝗶𝘅𝗲𝘀 𝗶𝘁𝘀𝗲𝗹𝗳.

That’s why the best retail ops leaders don’t ask,
 “How do we improve the forecast?"

They ask:

 “𝗪𝗵𝗲𝗿𝗲 𝗶𝘀 𝗼𝘂𝗿 𝗿𝗲𝘁𝗮𝗶𝗹 𝘀𝘆𝘀𝘁𝗲𝗺 𝗹𝘆𝗶𝗻𝗴 𝘁𝗼 𝘂𝘀 𝗮𝗻𝗱 𝘄𝗵𝘆?”

𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗺𝗮𝗿𝗴𝗶𝗻 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝘀.

Night shift productivity is 40% HIGHER than day shift.

But not for the reason you think.

Tracked 5,000 warehouse shifts across 3 continents:

Night shift:
• No executives walking around
• No surprise visits
• No "quick meetings"

Just work.

The data is shocking:
Day shift: 62% actual productive time
Night shift: 87% actual productive time

The best supply chain executives I know?

They review numbers from offices.

They watch cameras from computers.

They visit warehouses twice a year.

And their operations run flawlessly.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

The supply chain metric that predicts bankruptcy 6 months early. 

It's not cash flow.

Not inventory turns.

Not even profit margins.

It's the variance between your system data and warehouse reality.

Last year, I audited 47 failing companies.

43 had the same pattern:

• System showed 98% accuracy
• Physical count showed 71% accuracy
• Gap widened 2% every month

The companies that survived?

Their gap never exceeded 5%.

Why this matters:
When your data lies, your decisions become guesses.

When decisions become guesses, you order wrong.

When you order wrong, cash gets trapped.

When cash gets trapped, you can't pay suppliers.

When suppliers cut you off, you're done.

The death spiral starts with a 7% variance.

By 15%, it's usually irreversible.

Most companies only check this annually.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

The smart ones check it weekly.

I ask warehouse workers one question.

It saves companies MILLIONS.

"What stupid thing do you do every day that management doesn't know about?"

Their answers exposed $47M in waste across 300 audits.

While consultants charged $50K to analyze spreadsheets.

The pattern never changes:

Consultants interview managers.

I interview workers.

They analyze what's reported.

I watch what actually happens.

16 years. 300+ audits. Same discovery:

Your workers know EXACTLY where the money bleeds.

They're just waiting for someone to ask without judgment.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

Last quarter, our team ran an aggressive improvement sprint across 3PL (Contract Logistics) sites.

And the results surprised even us:

37% reduction in dock-to-stock time
22% increase in picking productivity
18% drop in return-to-vendor defects
And a double-digit cost-per-unit reduction without adding a single headcount

Warehouses don’t become “operationally excellent” by accident.
They become excellent by measurement.

Here’s the truth we don’t talk about enough:

Operational Excellence isn’t a project.

 It’s a system.

 A culture.

 A scoreboard that never switches off.

Here’s what actually moved the needle:

1️⃣ Made every metric visible —> no more “we think,” only “we know.”
2️⃣ Daily accountability huddles —> 12 minutes max, but transformational.
3️⃣ Micro-kaizens instead of big-bang initiatives.
4️⃣ Operator-led improvements (not PowerPoint-led improvements).
5️⃣ Relentless elimination of “hidden inventory”  the silent profit killer.

And here’s the part most leaders underestimate:

Your people will outperform every automation you invest in -> if you give them clarity, agency, and a scoreboard they trust.

We didn’t “optimize processes.”

We built a culture where problems surface faster than they escalate.

If you’re running Contract Logistics sites, I’m curious:

👉 What’s the one metric you trust the most to reveal operational truth? 

Share in the comments section. If you would rather chat with me, book a slot (Link in bio)

I’ve worked with 100+ supply chain teams.

These 5 myths refuse to die — and they’re expensive.

Myth #1: More data = better decisions
 → No. Better quality data = better decisions.


Myth #2: “We’ll fix it when it breaks”
 → You’ll fix it after it costs you money.


Myth #3: Tech alone solves process issues
 → Bad process + good tech = bad results.


Myth #4: Forecast accuracy is everything
 → Flexibility matters more.


Myth #5: More visibility solves all problems
 → Only if people act on what they see.


The truth?

Most supply chain pain comes from old assumptions.

Which myth do you see the most?

Supply chains FAIL 18 months before the symptoms show.

And I know exactly when.

The moment your best warehouse worker quits.

Not your manager.
Not your supervisor.

Your picker. Your packer. Your forklift driver.

They leave first because they see it first:
• New system that doesn't work
• Shortcuts being eliminated
• Managers who never touched a pallet

Tracked 50 supply chain failures:

18 months before bankruptcy → Top floor worker exodus
12 months before → Middle management scrambles  
6 months before → Consultants arrive

Your workers are your canaries.

When they stop singing, you have 18 months.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

Ohio manufacturers are sitting on $47 MILLION in dead inventory.

While complaining about cash flow.

I audited 23 warehouses last month:
• Automotive supplier: $2.8M in obsolete parts
• Food distributor: $1.4M expired product  
• Electronics company: $900K discontinued items

The kicker?

Their ERP systems showed everything as active inventory.

Meanwhile, a small Canton manufacturer:
• Zero dead stock
• 47-day cash conversion cycle
• 18% higher margins than competitors

Their secret: Weekly SKU reviews. Not quarterly. WEEKLY.

They kill underperformers faster than feelings get hurt.

Your warehouse isn't a museum.

Stop treating inventory like vintage wine.

Book a discovery call here:https://lnkd.in/gV3_u6Jr

AI didn’t replace human judgment.

It exposed where human judgment was weak.

We tested an AI forecasting tool with a team of planners.

It didn’t “outsmart” them.

But it did spot patterns they were too busy to notice.

And the planners did what the AI couldn’t:

Understand context, urgency, and the real-world messiness behind every number.

Here’s the lesson:

AI isn’t the boss.
It’s the second brain.

The most resilient teams pair:
 🔹 AI for speed and pattern recognition
 🔹 Humans for decisions that require nuance

The companies winning today aren’t choosing between AI or humans.

They’re combining both.

Where do you think AI helps most — and where does it fall apart?

I’ve worked on 100+ projects and warehouse audits and learned that the biggest wins in supply chain aren’t always the big projects.

Sometimes, they’re the small, overlooked tweaks.

A better slotting strategy here.
A clearer communication plan there.

Little changes that ripple out, creating a wave of efficiency.

It’s easy to chase the shiny new tech or the massive overhaul.

But the real secret? Focus on what’s right in front of you.

Optimize what you already have. Improve what’s working. Fix what’s broken.

Because in the end, sustainable success is built on consistency, not flash.

And those small wins? They add up to big results.

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