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LANGOLF DIGITAL
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BUSINESS2025

Smart Warehouse

A connected warehouse operations ecosystem — VWMS / NEXUS

A connected warehouse operations ecosystem exploring inventory management, warehouse design, 2D planning, 3D spatial visualization, operational dashboards, AI assistance, and physical-world system concepts.

Status
In Development
Category
BUSINESS
Year
2025
Primary stack
Next.jsTypeScriptSupabase
Demo
ENTER THE BUILD
Smart Warehouse 3D warehouse visualization

Project visualization — a designed representation, not a literal screenshot

Additional view

Inside the build

VWMS operations surface

VWMS operations surface

A companion visualization for the live Virtual Warehouse Management System experience.

01Overview

What this is

A connected warehouse operations ecosystem exploring inventory management, warehouse design, 2D planning, 3D spatial visualization, operational dashboards, AI assistance, and physical-world system concepts.

Explores

  • Warehouse management
  • Inventory tracking
  • Warehouse design
  • 2D planning
  • 3D warehouse visualization
  • Operational dashboards
  • AI assistance
  • Automation
  • Real-time systems
  • Device / hardware concepts
  • Supabase backend
  • Testing

02Explore the build

The demo and the build insight

The demo

External application

ENTER THE BUILD

Smart Warehouse / VWMS — the Virtual Warehouse Management System as a live deployed experience.

ENTER THE BUILD

Related in this ecosystem

  • Inventory Management

    A related deployed experience within the Smart Warehouse / NEXUS ecosystem.

    Explore Inventory

Build insight

01 / 04
Current build
In Development
Architecture and features below are the real build.
Demo
External
Launch control above opens the verified public build.

Build insight — real project data, not a live application.

The design treats every module as a view over one shared data model rather than a separate product. Layout definitions, inventory, and operational events all live in the same backend, which is what makes 2D planning, 3D visualization, and dashboards consistent with each other.

03Problem · opportunity

What it sets out to solve

Small and mid-sized warehouses juggle spreadsheets, siloed tools, and manual processes. Any of them know what is on the floor, but almost none have a live, spatial, connected view of the operation.

04Concept

The core idea

Treat the warehouse as one connected environment: a single system that moves inventory through operational workflows, lets operators design and visualize the facility in 2D and 3D, and surfaces AI assistance and automation without pretending the physical world is optional.

05What I built

What's actually in the code

In-progress development. A shared data foundation and the first operational modules are being built, with the 2D planning and 3D visualization views architected as connected modules rather than standalone products. Stripe architecture design exists for a future subscription layer.

Approach

Building the ecosystem as layered modules over a shared Supabase backend: inventory and operations first, then a 2D design/planning layer, a 3D spatial visualization view, dashboarding, and progressively an AI assistant and automation layer.

06Key features

What's implemented today

  • Shared inventory and operational data model across every module
  • Facility design and 2D planning views being built against the same data store
  • 3D visualization layer architected so the warehouse layout renders from real layout data, not placeholder scenes
  • Operational dashboards for stock levels and activity
  • AI assistance planned as an interface over the structured operational data
  • Stripe billing architecture drafted for a future paid tier

07Architecture

How it's structured

architecture.md

The design treats every module as a view over one shared data model rather than a separate product. Layout definitions, inventory, and operational events all live in the same backend, which is what makes 2D planning, 3D visualization, and dashboards consistent with each other.

Design notes

The project is deliberately structured as a family of modules. A future physical-device layer (scanners, sensors) is designed around the same event model so hardware integration does not require reshaping the data core.

08Technology

The stack

  • Next.js
  • TypeScript
  • Supabase
  • PostgreSQL
  • Tailwind CSS
  • Three.js (planned)
  • Stripe (planned)

09Challenges · lessons

Where it got hard, and what it taught me

Challenges

  • Keeping a layout model that is rich enough for 2D planning and honest enough to render credibly in 3D
  • Deciding when automation should be real versus simulated without overstating capability
  • Designing billing/Stripe architecture before the product is proven

Learnings

  • A module-over-monolith data design makes a broad ecosystem much easier to reason about
  • Spatial visualization is only valuable when it reflects the same data operators actually use
  • Clear boundaries between built, being built, and planned keep development honest

10Current status

Where this project sits today

In Development2025

Architecture is established and modules are actively being built. Parts exist; the whole is not finished.

Demonstrated

  • Shared Supabase data model and first operational modules under active development
  • Billing architecture documented as a Stripe integration design

11What comes next

Where this goes from here

  1. 01Complete the inventory and operations modules end to end
  2. 02Ship the 2D planning view wired to the real layout data
  3. 03Connect the 3D visualization to the layout model
  4. 04Decide the scope of the AI assistant against the structured data surface