Enezon Tech

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Enezon Tech

Enerzon AI Inspiration

Global industrial procurement is still surprisingly manual. Buyers of coal, coke, biomass, industrial minerals, and other energy commodities spend countless hours searching for suppliers, comparing quotations, negotiating prices, verifying compliance, coordinating logistics, tracking shipments, and managing payments.

Each trade involves multiple stakeholders—buyers, suppliers, transporters, laboratories, financiers, and compliance agencies—working across disconnected systems.

We wanted to build an AI-native platform where intelligent agents don't just answer questions—they actively execute business workflows.

Enerzon AI is our vision of autonomous industrial commerce.

What it does

Enerzon AI is an AI-powered B2B marketplace for industrial commodities that uses multiple specialized AI agents to automate procurement and supply-chain operations.

The platform enables businesses to:

Discover verified suppliers Generate RFQs automatically Compare supplier quotations Negotiate pricing using AI Recommend the best supplier Coordinate transportation Track shipments in real time Verify business and regulatory compliance Assist with contracts and documentation Support milestone-based escrow payments Provide intelligent business insights through conversational AI

Instead of navigating dozens of portals and spreadsheets, users interact with AI agents that coordinate the entire procurement lifecycle.

How we built it

The platform is built using modern cloud technologies.

Frontend Next.js React TypeScript Tailwind CSS Backend Supabase PostgreSQL Row-Level Security (RLS) AI OpenAI GPT-5.6 Codex AI agents for procurement, logistics, compliance, and document understanding Retrieval-Augmented Generation (RAG) Structured tool calling Natural language workflow orchestration Integrations Payment gateways Logistics APIs Business verification services Government compliance APIs Mapping and live vehicle tracking Challenges we ran into

Building AI for enterprise procurement required solving several difficult problems:

Managing complex multi-step workflows across different stakeholders Converting natural language into structured business actions Ensuring AI recommendations remain transparent and auditable Handling large procurement documents and RFQs Designing agent collaboration without losing user control Integrating external logistics and compliance services into a unified workflow

Balancing automation with reliability was one of our biggest engineering challenges.

Accomplishments we're proud of Built an AI-first procurement experience instead of simply adding a chatbot. Created specialized AI agents for different business functions. Unified procurement, logistics, compliance, and payments into a single workflow. Designed a scalable architecture capable of supporting multiple industrial sectors. Demonstrated how AI can reduce procurement complexity while improving decision-making. What we learned

Developing Enerzon AI reinforced that enterprise AI delivers the greatest value when it performs real work rather than simply generating text.

We also learned the importance of combining language models with structured business workflows, external tools, retrieval systems, and human oversight to create trustworthy enterprise automation.

What's next for Enerzon AI

Our roadmap includes:

Multi-agent collaboration Autonomous procurement negotiations Predictive pricing intelligence AI-driven supplier risk analysis Carbon footprint estimation Trade finance recommendations Intelligent logistics optimization End-to-end AI execution for industrial commerce

Our long-term vision is to build the AI operating system for global industrial trade, enabling businesses to source, negotiate, transport, verify, finance, and complete transactions through collaborative AI agents.

Built With

• ably
• amazon-web-services
• claude
• codex
• gemini
• next
• react
• redis
• supabse