Open to work · In-house · Remote · Fractional

I run Amazon
for brands doing $5–50M.

Ten years inside Seller Central, Vendor Central, and omnichannel ops. I founded and ran Blue Monster LLC, a third-party Amazon wholesale seller — scaling it to $20M/year and $100M+ in lifetime GMV across 24,000+ SKUs. When the tooling doesn't exist, I build it.

Tom Lucia
Tom Lucia North Haven, CT
Lifetime GMV
$100M+
SKUs managed
24K+
Years in ops
10y
Peak annual run rate
$20M
01  —  WHO I HELP

The brands I'm best for.

If one of these sounds like the team you're building, we'll probably work well together.

— 01

Already on Amazon, drowning in it.

You're doing $5–50M on Seller or Vendor Central and the account has gotten ahead of the team running it. Chargebacks, suppressed listings, inventory fires, ACoS creep. You need someone who has lived this — not a consultant reading from a playbook.

— 02

Launching or relaunching.

You have a great product and a retail or DTC business, but Amazon is either new or limping. You need someone to own the rebuild end-to-end — brand registry, listings, catalog architecture, PPC, forecasting, supply — and put a durable operation in place.

— 03

Going omnichannel.

Amazon is working and now you want Walmart, TikTok Shop, Shopify DTC, and wholesale pulling in the same direction. You need an operator who can see margin across channels and decide where the next dollar actually goes.

02  —  ABOUT

Operator who builds.

Tom Lucia
est. 2015

I founded Blue Monster LLC in 2015 and spent the next decade running it — a third-party Amazon wholesale seller that I scaled from zero to $20M a year and north of $100M in lifetime GMV across 24,000+ SKUs across FBA, FBM, and Vendor Central. Every fee code, every chargeback category, every case-log template: I've argued it, fixed it, or escaped it.

I treat "we don't have a tool for that" as a build spec, not a blocker.

Somewhere along the way I stopped waiting for software to catch up. I designed and built the in-house warehouse system that ran the company for eight years — fifty modules covering receiving, pick, pack, FNSKU, returns, compliance. In the last year I've shipped a full SP-API analytics stack that replaced five separate SaaS subscriptions. The tools below are real, fully interactive, with simulated data.

What you get is an operator who speaks fluent Amazon — FBA vs FBM economics, brand analytics, A+ content, ASIN hygiene, chargebacks, STA / shipper-of-record, ARA — and who will also quietly write the thing the team has been asking for.

03  —  WHAT I'VE BUILT

The operator's toolkit.

Six working tools across the full operating arc — strategy, finance, diagnosis, execution, supply. Every tool is fully interactive; data is simulated for demo purposes.

TOOL 01 / 06
Strategy

Channel Economics Explorer

Where should we sell?

Revenue-weighted margin comparison across six channels — Amazon SC & VC, Shopify DTC, Walmart, TikTok Shop, wholesale — at the product-line level. Every fee line is stacked: COGS, platform, fulfillment, ads, chargebacks, customer acquisition. Switch recommendations surface with annualized impact and risk tradeoffs per channel.

SAMPLE FINDING → +$486K annualized from
rebalancing off Vendor Central toward Walmart & TikTok Shop.
Open live tool
channel-economics.html
Launch ↗
Channel Economics Explorer screenshot
line-margin.html
Launch ↗
Line Margin Explorer screenshot
TOOL 02 / 06
Finance

Line Margin Explorer

What's actually profitable — after all the fees?

SP-API-sourced margin by product line and SKU, with every fee attributed — platform, fulfillment, storage, prep, ads. Week-over-week tracking, fee-breakdown visualization, status tags (investigating / action-needed / fixed), analyst notes that persist across weeks.

WHY IT MATTERS → A buyer knows
before the PO lands whether the next order makes money.
Open live tool
TOOL 03 / 06
Diagnosis

Conversion Explorer

Which listings are leaking revenue?

Pulls 30-day sessions, CVR, revenue, and buy box % across the full catalog. Flags listings where traffic is high and conversion is low. Generates an AI-ready prompt for listing analysis on every flagged ASIN in one click — feeds directly into the Listing Optimizer.

OPERATOR IMPACT → Turns a monthly
"which listings need work" meeting into a five-minute filter.
Open live tool
conversion-explorer.html
Launch ↗
Conversion Explorer screenshot
listing-audit.html
Launch ↗
Listing Health Audit screenshot
TOOL 04 / 06
Audit

Listing Health Audit

Which listings need work — and why?

SP-API-style listing diagnostics for catalog teams. Flags missing images, empty bullets, overlong titles, backend search-term gaps, broken variation families, A+ content gaps, and conversion risk. Prioritizes fixes by traffic, revenue, and operational severity.

OPERATOR IMPACT → Turns "our listings need work"
into a ranked action queue with the next best fix per ASIN.
Open live tool
listing-optimizer.html
Launch ↗
AI-Powered Listing Optimizer screenshot
TOOL 05 / 06
Execution

AI-Powered Listing Optimizer

Fix the listings that are leaking — at scale.

Scores each section — title, bullets, description, search terms, images. Flags compliance issues with severity: char limits, mobile truncation, prohibited phrases. Generates optimized copy via Claude or Gemini. Before/after diff with mobile preview. Pushes approved changes to Amazon via SP-API.

COST PER RUN → $0.05 – $0.15. Ops can
approve AI-generated copy instead of rewriting it.
Open live tool
TOOL 06 / 06
Supply

Inventory Intelligence

The supply side of the P&L.

Per-line inventory health — days of cover, stockout risk, overstock risk. AI-suggested reorder quantities weighted by velocity, seasonality, and lead time. Dead stock recovery panel with action recommendations (markdown / bundle / remove / promote). 12-week demand forecast per line with stockout weeks flagged visually.

WHAT IT REPLACES → Five spreadsheets
and a reorder meeting. Rolled into a single screen.
Open live tool
inventory-intelligence.html
Launch ↗
Inventory Intelligence screenshot
All data shown is simulated · Tools are fully interactive · Click any preview to launch
04  —  WHERE I CUT MY TEETH

A decade at Blue Monster.

I founded and ran an Amazon-native, third-party wholesale seller. I owned the marketplace ops, the warehouse floor, and eventually every in-house system that kept it all moving.

Blue Monster LLC

2015 — 2025 · Founder & Director of Operations

I founded Blue Monster as a third-party Amazon wholesale seller — buying in quantity from brands and reselling across Seller Central, FBA, FBM, and Vendor Central. Started as an experiment; by the end it was doing $20M in annual revenue against $100M+ in lifetime GMV.

Twenty-four thousand active SKUs across multiple categories. Every process that runs an Amazon wholesale business at that scale — buying, receiving, prep, FBA shipping plans, case logs, reimbursements, chargeback disputes, inventory planning, pricing automation, dispositioning — I owned it or I built the system that ran it.

When the off-the-shelf tools couldn't keep up, I designed and built an in-house warehouse management system — fifty-plus modules that ran the operation every day for eight years. The company is wound down; the judgment from building and running it is what you hire.

$100M+
Lifetime GMV
24K+
SKUs
10y
Running Amazon
Operational scope
01Seller Central account ownership · listings, cases, health
02Vendor Central operations · POs, chargebacks, ARA
03FBA shipment planning & compliance · 24K SKUs
04Receiving, prep, pack, ship workflows · floor to freight
05Returns intake, disposition, reimbursements
06PPC, advertising, organic ranking · ACoS / TACoS
07Pricing automation & buy-box strategy
08In-house WMS — 50+ modules, 8-year production run
"The artifacts are gone — broken Drive links, lost image assets. The operation ran on this every day for eight years. The thinking is what I bring to the next build."
05  —  HOW I WORK

Engagement models.

In-house
Head of Amazon, E-Comm Lead, Director of Marketplace Ops. Full time, on team, owning the P&L.
Remote
Same role, distributed. I've run ops across multiple time zones for years. Flexible hours, daily comms.
Fractional
20–30 hrs/week. For brands that need senior ops judgment but aren't ready for a full-time lead.
Project
Fixed-scope builds — account audit, channel strategy, systems rebuild, launch. 4–12 weeks.

Let's talk.

If you're running a brand between $5M and $50M and Amazon is either your biggest lever or your biggest headache — I'd like to hear about it. Based in North Haven, CT  ·  open anywhere. First conversation is free, always.