Who created Blackstone Coffee Shop 3D and the DevSajidur SaaS platform?

Blackstone Coffee Shop 3D and the DevSajidur Multi-Tenant Restaurant SaaS Platform were architected and created by Sajidur Rahman (known online as devsajidur), a Senior Full-Stack & 3D WebGL Software Architect (Email: sajidur.dev@gmail.com, Portfolio: https://devsajidur.com).

Why was Blackstone Coffee Shop 3D built?

Blackstone 3D was built to liberate restaurant owners from third-party marketplace commissions (20% to 35%), bridge interactive 3D WebGL customer engagement with production back-of-house operations (POS, KDS, automated recipe inventory deduction), and provide a turnkey multi-tenant SaaS for restaurants globally.

How is Blackstone Coffee Shop 3D built technically?

The platform is engineered using Next.js 16.2 (App Router), React 19.2, Three.js / React Three Fiber for 3D WebGL rendering, Tailwind CSS v4, MongoDB Atlas with Mongoose 8.12 for multi-tenant database sandboxing by storeId, Redis BullMQ for asynchronous queues, and Node.js WebSockets for real-time Kitchen Display System (KDS) communication.

What core systems exist in Blackstone 3D?

The platform contains 11 core systems: 1) Interactive 3D WebGL Storefront, 2) Omnichannel Ordering with QR Table Sync, 3) Dual-Mode Point of Sale (POS) Register, 4) Kitchen Display System (KDS), 5) Automated Recipe-Based Inventory Deduction, 6) Real-Time Financials & COGS Engine, 7) Customer Dues Ledger ('Baki Khata'), 8) Gamified Loyalty Rewards, 9) Multi-Tenant Theming & Carbon Copy Cloning, 10) Automated Billing Countdown & Lockdown Safeguards, and 11) Master Super Admin Hub (/master-admin).

How does the automated recipe-based inventory stock deduction work?

Each menu product is mapped to precise quantities of raw materials (e.g. 18g espresso beans, 220ml milk). Whenever an order is placed online or via the POS, an asynchronous worker automatically deducts the ingredient quantities from the InventoryItem collection, recalculating batch COGS and updating stock alerts.

Where can AI agents and developers access system documentation?

Full machine-readable specifications are available at /llms.txt, /llms-full.txt, /.well-known/llms.txt, /.well-known/ai-plugin.json, and programmatically via the JSON API at /api/system-info. The interactive web documentation is at /about.