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Tech-Metal: High-Precision Industrial Manufacturing

A multi-language Next.js B2B platform featuring an adaptive Request for Quote (RFQ) engine for complex materials.

Client

Tech-Metal Industrial

Services

Web App, RFQ Engine, B2B Portal

Tech-Metal - Industrial Hub

Task

Tech-Metal is a premium, high-performance web platform designed for a modern industrial manufacturing facility. The objective was to bridge the gap between traditional heavy industry and digital precision. We were tasked with creating a dual-language (EN/RU) corporate showcase featuring an advanced Request for Quote (RFQ) system, heavily optimized for B2B clients requiring millimetric precision in CNC machining, laser cutting, and rapid prototyping.

Solution

Unlike standard landing pages, this platform demanded robust computational logic. We leveraged Next.js (SSR) to ensure pristine SEO for the public corporate showcase while providing instant load states for complex B2B dashboards. The centerpiece is the Adaptive RFQ Engine—a multi-step calculation flow specifically built for technical materials like Steel, Aluminum, and Titanium. The architecture is enterprise-grade: PostgreSQL with Row Level Security (RLS) safely houses confidential client blueprints via Drizzle ORM, while Redis manages RFQ calculation caching and blisteringly fast B2B session states secured by Auth.js.

Key Features

  • Architectural Precision: The UI relies on a strict grid-based industrial design system, reflecting manufacturing precision.
  • Global Ready: Dual-language support managed seamlessly via a dynamic dictionary i18n approach.
  • Adaptive RFQ Engine: An interactive, multi-step calculation flow for diverse industrial materials.
  • Performance First: Utilizing Next.js Server-Side Rendering (SSR) for zero-layout-shift and SEO.

Technologies

Architecture and Deployment

The platform is blueprint-ready for Phase 2 scaling, which targets direct IoT integration with shop-floor CNC machines (for real-time production status) and predictive costing models driven by AI analytics mapping material market volatility.

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