Founder, Bingo Bango L.L.C.

SOPITA.GG · 11.11 · Hi Lovely Human · bingobango.ai

English · Spanish · Portuguese

Javier Diaz

Building brands that outlast me.

Serial founder. Kind heart, long game. I build brands that make room at the table, and I build them to last. Games for the barrio, a watch for the moments that matter, a voice for lovely humans. A legacy, one brand at a time.

Serial founder. Kind heart · long game · legacy.

Javier Diaz
Building for the long game

Founder · Bingo Bango L.L.C.

“Build what outlasts you, and lift people up along the way.”

Bingo Bango L.L.C.

The brands

One family of brands, built with heart and meant to last.

Bingo Bango

Bingo Bango L.L.C. · parent company

Built slowly, with care, for the people who use them. That is the legacy.

Bingo BangoSOPITA.GG11.11Hi Lovely HumanKind heart · long game

Decision engines

18+ algorithms and replenishment methods: forecast, turns, order efficiency, JIT — the layer behind ~$710M of managed inventory reduction.

18+ algorithmsForecast · turns · JIT

Automation that gives people time back

I use agents the way I use replenishment engines: to take exceptions off people and encode the method. Fourth Shift, Monday.com, Salsify, Python, and SQL.

Fourth ShiftMonday.com · SalsifyS&OP

This week

What I shipped

Founder work across Bingo Bango and its brands, updated every Sunday.

  • Bingo Bango

    Put my companies under one roof. Bingo Bango L.L.C. is now the parent of SOPITA.GG, 11.11 and Hi Lovely Human. Launched bingobango.ai as its investment and holding home.

  • SOPITA.GG

    Shipped 8 TikToks on @juegasopita. Colmado night hit 630 views, and sopita.gg drew 366 visitors for the week.

  • 11.11

    Relaunched 1111.watch as a coming-soon site with a live waitlist and a three-email welcome series.

  • Hi Lovely Human

    Posted every day on every platform and nearly tripled our followers in one week.

  • JavyDiaz.com

    Shipped three updates to this site: a level-up, a cream colorway, and the new founder line.

Week ending Oct 18, 2026

AI · How I actually work

Code. Models. Data.

The bench I use to encode methods and ship product. Agents write. Python and SQL hold the truth.

Factory ERP / MRP

S&OP on the factory system the plants already run.

Fourth Shift (Infor)
Ops / PIM

Cadence and product truth on tools the team already pays for.

Monday.com Salsify
Decision layer

I pair in the editor the way I pair on the floor: Claude Code and GitHub Copilot to encode the method, Python and SQL to make it stick.

Python Google Cloud SQL MySQL Claude Code GitHub Copilot
Live use

Anthropic, NVIDIA, Apple developer-track. Editor tools support the method. Capital, service, and network still lead.

Anthropic NVIDIA Apple developer-track

By day

What I do by day

By day I run supply chain at Cra-Z-Art. Same values at every stage: steady hands, good people, systems that last.

How I work

  • Room to lead — exceptions leave your plate; you return to product and people
  • Capital + service + network — free trapped capital without starving live SKUs; hold service while cost moves
  • Pace you can hold — multi-country, tariffs, crisis, launch — absorbed by the system, not by you
  • Systems that stay — 18+ decision systems the team can run without me

Present

Structure first

Product craft · shipping discipline

Founder · Bingo Bango

Bingo Bango L.L.C. · SOPITA.GG · 11.11 · Hi Lovely Human

  • Product craft and shipping discipline. Same standard as the day job.
  • Structure first. Swimming harder is not a strategy.

2020 – Present

$80M obsolete at cost

CEO-direct · 6 reports · logistics −17%

Vice President, Global Supply Chain

LaRose Industries, LLC d/b/a Cra-Z-Art · Randolph, NJ · Jacksonville + Lewisburg + import

  • COVID: repurposed U.S. plant capacity; did not freeze the book; 90th percentile in-stock; ~150 SKUs/month NPI
  • Tariffs: landed-cost and make-vs-buy design; company 1.5M sq ft target; logistics −17%
  • Integrations: RoseArt / Rose Moon + Lewisburg pencil factory (2021 Mattel AST); Lexibook; Top Secret Toys (2024); Joker AG / Slimy (2025)
  • Inventory visibility for an $80M (at cost) obsolete book. S&OP cadence the team can run
  • CEO-direct. 6 direct reports. End-to-end supply ownership
  • Stack: Fourth Shift (ERP/MRP), Monday.com, Salsify, Python, Google Cloud SQL / MySQL, Claude Code, GitHub Copilot

2014 – 2020

~$710M WC returned

>$900M → ~$190M · team of 5

Senior Manager, Replenishment

Bed Bath & Beyond Group · Union, NJ · six banners + digital · 16 DCs · team of 5 · company sales >$11B

  • Inventory planning, demand forecasting, replenishment, and allocation across 16 DCs
  • Managed book from >$900M to ~$190M. About ~$710M working capital returned to the business by system design, not a purge
  • 18+ forecast, turn, order-efficiency, and JIT methods. Automated buy / move / stop
  • Store banners and digital on one allocation and replenishment cadence. Team of 5. 90th percentile in-stock held

2006 – 2014

$140M OTB unlocked

95% obsolete eliminated
Foundation chapter

Foundation · Supply & Merchandising Operations

Four roles in sequence. Same early discipline: stock truth, open-to-buy, obsolete out. Headline dollars attach to Baker & Taylor. BBA, Business Management · Fort Hays State University · 2011–2015.

Sr. Planning & Allocation Analyst · Baker & Taylor

2012–2014 · catalog / wholesale scale

  • Corrected Amazon replenishment failure modes; unlocked $140M open-to-buy
  • Eliminated 95% of obsolete while protecting depth on live titles

Demand & Supply Planning Manager · Cra-Z-Art

2009–2012 · first tour at the company later run as VP

Inventory, turns, and obsolete on a physical-product book.

Supply Chain Manager · Cherrydale Farms

2008–2009 · seasonal fundraising and commercial food

Physical-product supply for a seasonal fundraising and commercial food book.

Store Analyst · The Children's Place

2006–2008 · specialty retail pace

Specialty retail pace. Early CEO-direct exposure.

Proof

The book moved. Service held.

Managed book I systemized: >$900M to ~$190M. About ~$710M working capital returned to the business — not a fire sale. Drag the bar, or hit play.

BBB Group · 16 DCs · 2014–2020

Watch ~$710M return to the business.

Working capital on a managed book. Not his money. Not a fire sale. 90th percentile in-stock held while the book compressed.

Inventory on book $900M Start of the book
Method 0% Systems + cadence
Working capital returned $0M Still locked in stock
Start · $900M ~$190M on book

Done · ~$710M working capital returned to the business · 90th %ile in-stock held

BBB Group · multi-banner · 16 DCs · 2014–2020 · systems I designed

End state · systems I designed

>$900M→~$190M

≈79% off the managed book · ~$710M working capital returned to the business · 90th %ile in-stock held

BBB Group · multi-banner · 16 DCs · 2014–2020. Systems I designed.

~$710MWorking capital returned
90thIn-stock held
−17%Logistics
18+Systems
$80MObsolete at cost
~150SKUs / mo

Say hello

Let’s build something that lasts.

Kind heart. Long game.

Email, text, or call. Fellow builders, partners, and friends of the brands are always welcome.

Javier Diaz

Javier Diaz · Javy

Founder, Bingo Bango L.L.C. · Lyndhurst, NJ

X Bingo Bango SOPITA.GG 11.11 Hi Lovely Human