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TireOps — AI-Powered Tire Manufacturing Operations Platform

A full-stack enterprise operations platform built for tire manufacturers — combining production management, AI-assisted sales, customer communications, and billing in one unified system.

Live Demo Next.js TypeScript PostgreSQL OpenAI

Live Demo

Try the full platform without any setup — no registration required.

URL: https://tireops-demo1-cce6djgwf3aeevd4.canadacentral-01.azurewebsites.net

Email:    admin@tireops.com
Password: admin123

Demo role accounts:

Role Email Demo Focus
Admin admin@tireops.com Full platform review, data export, and system validation
Sales sales@tireops.com Customer history, quoting, order creation, and email follow-up
Finance finance@tireops.com Invoice generation, payment review, order value, and billing context
Engineer engineer@tireops.com Production readiness, tread context, compound requirements, and technical notes

All demo accounts use password admin123.

Sales, Finance, and Engineering share the same order workflow, but each role represents a different business responsibility and default perspective.

All data in the demo is simulated and stored in Azure PostgreSQL. Feel free to create orders, send quotes, generate invoices, and explore every module.

What Is TireOps?

Tire manufacturers manage a complex chain of operations: quoting prices to fleet customers, tracking production across multiple lines, coordinating delivery logistics, and billing hundreds of clients — often across different tools with no unified view.

TireOps brings all of that into a single AI-powered platform:

  • Sales teams get AI-generated quotes with win probability scoring and negotiation guidance
  • Production managers track every order through the full manufacturing lifecycle
  • Finance generates and sends AI-assisted invoices in seconds
  • Customer communications are handled through a built-in Email AI + Inbox with simulated multi-round negotiation
  • Engineers manage tread designs and rubber formulations with change request workflows
  • Production teams monitor production lines, efficiency, QC failures, and active workload
  • Teams can inspect historical records through a role-based Data Center for Sales, Finance, Engineering, and Admin views

Everything is connected — a quote converts to an order, an order triggers an invoice, and every step has a corresponding email thread.

End-to-End Business Workflow

  Customer Inquiry
        │
        ▼
  ┌─────────────┐
  │   Quoting   │  AI generates price, win probability, risk flags, negotiation tips
  └──────┬──────┘
         │ Send Quote Email
         ▼
  ┌──────────────────────┐
  │  Email AI + Inbox    │  Multi-round negotiation → customer agrees
  └──────────┬───────────┘
             │ Convert to Order
             ▼
  ┌─────────────────────────────────────────────────────┐
  │  Orders   PENDING → IN_PRODUCTION → QC → SHIPPED → DELIVERED  │
  └──────────────────────────┬──────────────────────────┘
                             │
                             ▼
                    ┌─────────────────┐
                    │   Invoice AI    │  Smart draft → Save → Send Invoice Email
                    └────────┬────────┘
                             │
                             ▼
                    ┌──────────────────────┐
                    │  Email AI + Inbox    │  Customer confirms payment
                    └────────┬─────────────┘
                             │
                             ▼
                    ┌─────────────────┐
                    │    Mark Paid ✓  │
                   └─────────────────┘

Demo Walkthrough

These screenshots show the connected workflow across sales, finance, production, and shared operational data.

Operations Dashboard Customer Intelligence
TireOps dashboard with KPIs, recent activity, and production line status Customer intelligence page with reorder planning and demand signals
Real-time operating metrics, activity feed, and production line health. Customer history, reorder planning, demand signals, and recommended actions.
AI Quote Assistant Order Management
AI sales quote assistant with price recommendation, risk flags, and historical references Order management queue with production, QC, shipped, and invoice actions
AI pricing guidance, win context, risk flags, and historical quote references. Shared order queue from quote conversion through production, QC, shipping, and invoicing.
Production Lines Data Center
Production lines page with line health, active workload, and priority orders Data Center with PostgreSQL-backed tables and CSV export
Manufacturing execution view with line health, QC failures, and priority orders. PostgreSQL-backed operational records with role views and CSV export.

Platform Modules

Dashboard

The operational command center. At a glance: units quoted, open orders, production efficiency, QC failure count, recent activity feed, and live production line status across the factory floor.

AI Sales Quoting

Input a customer, tire specification, quantity, and delivery window — the AI returns:

  • Recommended unit price based on volume and market positioning
  • Win probability score (0–100%) based on customer history
  • Risk flags: overdue payments, aggressive timelines, high-volume first orders
  • Payment term suggestions and negotiation angles

One click sends the quote as an email thread to the customer.

Order Management

Full production lifecycle tracking from receipt to delivery:

Status Stage
PENDING Received, awaiting production start
IN_PRODUCTION On the manufacturing floor
QC Quality control inspection
READY Cleared QC, awaiting dispatch
SHIPPED In transit
DELIVERED Confirmed received

Update status inline, navigate directly to the linked invoice or email thread.

Invoice AI

After delivery, generate a professional invoice in seconds:

  • Links to the original order and auto-populates line items (spec, qty, inferred unit price)
  • Auto-adds freight charges for large orders (qty ≥ 300 units)
  • Infers payment terms based on order value
  • Runs 6 automated risk checks: missing address, unmatched order ref, pricing discrepancy, tax rate, etc.
  • GPT generates commercial review notes and billing recommendations
  • ✉ Send Invoice button creates an email thread and opens the conversation instantly

Invoice history with year filtering, search, total amount column, and one-click Mark Paid.

Email AI + Inbox

A unified communication hub replacing scattered email clients:

Thread management:

  • Search, filter by status (Open / Agreed / Closed), filter by year, sort by date
  • 100 pre-seeded threads across 2021–2026 for a realistic demo experience

Conversation view:

  • Chat-style layout — Sales on the right, Customer on the left
  • Simulated customer auto-replies based on conversation round

AI Draft panel:

  • Pick a scenario (Quote Follow-up, Invoice Delivery, Delay Notice, Reorder Reminder)
  • Pick a tone (Formal, Friendly, Concise)
  • Add extra context — GPT writes the full reply
  • One click to use or append the draft

Quote thread actions: Mark Agreed → Convert to Order

Invoice thread flow: Customer replies simulate receipt acknowledgement → payment initiated → confirmation

Customer Management

Full CRM with AI-powered account intelligence:

  • Customer directory with linked orders, quotes, and invoices
  • AI generates: spend analysis, predicted reorder date, relationship health score, upsell opportunities

Data Center

A role-based operational data table for reviewing the simulated PostgreSQL records behind the demo.

Role views:

  • Sales: Customers, Quotes, Orders, Email Threads
  • Finance: Invoices, Orders, Customers
  • Engineering: Tread Designs, Compounds, Change Requests, Production Lines
  • Admin: Full demo data access for system review and CSV export

The Data Center is protected by login and is designed to show how departments collaborate on the same operational database. Sales, Finance, and Engineering can switch between the shared business views so they can follow an order from quote to billing to production. Admin also has the full system view for review and export.

Role permissions are reflected in the left navigation: Sales, Finance, and Engineering share the same operational workflow modules so each team can follow customer, order, invoice, production, tread, and compound context from one place. Admin keeps the full system review view.

Tread Designer

Professional tread pattern design tool for engineers:

  • Define dimensions, application type, EU label ratings (wet grip, rolling resistance, noise)
  • Version history and revision tracking
  • Change Request workflow: engineers submit modifications, AI assesses feasibility and production impact, reviewers approve or reject

Production Lines

Manufacturing execution view for factory operations:

  • Live simulated production line status: Running, Maintenance, Stopped
  • Efficiency and QC failure indicators for each line
  • Active workload summary across urgent, pending, production, and QC orders
  • Priority order list for manufacturing and quality review

Compound Spec

Rubber formulation management:

  • Define polymer type, filler system, shore hardness, tensile strength, curing specifications
  • AI predicts EU label compliance and suggests formulation adjustments

AI Feature Matrix

Module AI Capability Without API Key
Quoting Price recommendation, win probability, risk flags, negotiation tips Rule-based estimate
Invoice AI Line item inference, payment terms, risk checks, GPT review notes Rule-based checks only
Email AI Full reply drafting for any scenario and tone Not available
Customer Intelligence Spend trends, reorder prediction, opportunity scoring Static history view
Tread Designer Design recommendations, EU rating prediction Manual entry only
Compound Spec Formulation suggestions, label compliance prediction Manual entry only

All AI features gracefully degrade — the platform is fully operational without an OpenAI API key.

Tech Stack

Layer Technology
Framework Next.js 16 (App Router) + React 19
Language TypeScript 5
Styling Tailwind CSS v4
Database Azure Database for PostgreSQL + Prisma ORM
Authentication NextAuth.js v5, bcrypt, JWT sessions
AI OpenAI GPT-4o-mini
Deployment Azure App Service / Web App (Canada Central)

Running Locally

1. Install dependencies

npm install

2. Configure environment variables

Create a .env file:

DATABASE_URL=        # PostgreSQL connection string
AUTH_SECRET=         # Random secret, 32+ characters
OPENAI_API_KEY=      # Optional

3. Set up the database

npx prisma migrate deploy
npx prisma generate

4. Seed demo data (optional)

npm run db:seed
npm run db:seed:emails

npm run db:seed creates users, customers, orders, quotes, invoices, tread designs, compounds, change requests, and production lines. npm run db:seed:emails adds 100 simulated customer email conversations across 2021-2026 for the Email AI + Inbox module.

5. Start the dev server

npm run dev

Visit http://localhost:3000

Azure Deployment

The live demo is deployed to Azure App Service and connected to Azure Database for PostgreSQL.

Required production app settings:

Setting Purpose
DATABASE_URL PostgreSQL connection string with SSL enabled
AUTH_SECRET NextAuth session secret
OPENAI_API_KEY Optional key for AI generation
NODE_ENV production

Deployment is handled through GitHub Actions using an Azure publish profile stored as a GitHub repository secret. The Azure App Service startup command is:

node server.js

The application uses Next.js standalone output for Azure deployment.

Project Structure

src/
├── app/
│   ├── api/                 # All API routes (auth, orders, quotes, invoices, email, AI)
│   ├── dashboard/           # Dashboard page
│   ├── quoting/             # Sales Quoting page
│   ├── orders/              # Order Management page
│   ├── invoice/             # Invoice AI page
│   ├── email/               # Email AI + Inbox page
│   ├── customers/           # Customer Management page
│   ├── data-center/         # Role-based operational data tables
│   ├── tread-designer/      # Tread Designer page
│   ├── production-lines/    # Manufacturing line health and workload view
│   └── compound-spec/       # Compound Spec page
├── components/              # AppShell, Sidebar, CustomerAutocomplete
└── lib/                     # db, auth, api-utils, openai-config, safe-json
prisma/
├── schema.prisma            # Full database schema
├── migrations/              # SQL migration history
├── seed.ts                  # Main demo data seeder
└── seed-email-threads.ts    # Email conversation demo seeder

Database Models

User · Customer · Order · Quote · Invoice · EmailThread · EmailMessage · TreadDesign · ChangeRequest · CompoundSpec · ProductionLine

Built with Next.js · Hosted on Azure · Powered by OpenAI

About

End-to-end ops platform for tire manufacturers — AI quoting, order lifecycle, invoice, automation & customer email negotiation. Built with Next.js · TypeScript · PostgreSQL · OpenAI. Live demo available.

https://tireops-app-ekeqbhhnbsh6cgbf.canadacentral-01.azurewebsites.net

Topics

react typescript azure nextjs postgresql full-stack openai prisma tailwindcss nextauth manufacturing-ai

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