Warranty Wizard

Enterprises lose $15B annually on expired warranties. WarrantyWizard stops that. AI chatbot answers questions instantly. Invoice OCR eliminates data entry. Predictive alerts prevent missed claims.

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Inspiration

Enterprises lose millions of dollars every year from unused warranties on tools, equipment, and infrastructure. Many organizations still rely on fragmented legacy systems where warranty information lives across spreadsheets, emails, invoices, and vendor portals.

For companies managing fleets of tools, industrial equipment, and safety devices, missed warranty windows translate into wasted money and unnecessary replacements.

We wanted to build a system that ensures businesses never miss a warranty claim again while modernizing how warranty data is tracked and used.

What it does

WarrantyWizard is an AI-powered warranty intelligence platform that helps organizations track, analyze, and proactively manage warranties for enterprise equipment and bulk purchases.

With WarrantyWizard, companies can:

  • Track warranty periods for all purchased equipment
  • Upload invoices and automatically extract warranty details
  • Receive alerts before warranties expire
  • Identify equipment at risk of failure before expiration
  • Use an AI assistant to quickly find warranty and asset information
  • Centralize all warranty data into a single dashboard

The goal is to maximize warranty utilization and reduce unnecessary replacement costs by ensuring organizations fully benefit from the warranties they already have.

How we built it

WarrantyWizard is a full-stack web application designed with enterprise scalability in mind.

Backend

  • Node.js + Express for API and controllers
  • PostgreSQL database for asset and warranty tracking
  • Seeded enterprise-style dataset for demo
  • REST endpoints connecting frontend and backend

AI Layer

  • Invoice text extraction to detect warranty details
  • AI assistant for natural language queries about assets and warranties
  • Insight generation for expiring or high-risk equipment

Frontend

  • React + TypeScript dashboard
  • Warranty analytics view
  • Upload + automatic warranty creation flow We focused on building something realistic for enterprise environments rather than a simple demo.

Challenges we ran into

  • Integrating frontend and backend environments quickly during a hackathon
  • Designing a flexible database schema for many equipment types
  • Handling messy real-world invoice data for AI extraction
  • Normalizing API responses across the stack
  • Debugging routing, proxy, and CORS issues
  • Balancing ambition vs. time and deciding what to fully build vs. simulate
  • Building an enterprise-scale idea within a short timeframe This project was challenging because it resembled a real enterprise SaaS platform more than a typical hackathon app.

Accomplishments that we're proud of

  • Built a fully working full-stack warranty management system
  • Implemented AI-assisted warranty extraction from documents
  • Created a dashboard for tracking expiring warranties and analytics
  • Delivered a real enterprise use case aligned with Grainger customers
  • Built a product that could realistically save organizations money

We’re proud to say that we believe we've built something that could exist in a real enterprise environment.

What we learned

  • Warranty data is extremely fragmented across organizations
  • AI is powerful for document extraction and operation insights
  • Building for enterprise requires strong system design decisions early
  • Integration and data consistency matter as much as features
  • Moving quickly while maintaining structure is key in hackathons

What's next for Warranty Wizard

We believe that the next step forward for WarrantyWizard that would really separate us from competition would be building an Agentic AI system to automatically register warranties with vendors. Our goal with this is simple: reduce the manual work needed to setup emails, phone calls, and payment processing to register product warranties. Instead, enterprises can confirm if they would like to add/extend warranties for assets, and Agentic AI would handle the registrations and store the confirmations automatically.

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