Apex-QC

Inspiration

Quick commerce operations change rapidly due to demand spikes, inventory shortages, and logistics issues. We wanted a system that could automatically detect these changes and make fast operational decisions.

What it does

APEX-QC is a multi-agent AI system that monitors demand, inventory, logistics, pricing, and risk. It analyzes events in real time and executes actions like rerouting orders, adjusting prices, and triggering restocks.

How we built it

We designed a hierarchical agent framework with a Master Orchestrator, Domain Agents, Aggregator Agents, and a Fusion Decision Engine that coordinates decisions across the system.

Challenges we ran into

The main challenge was coordinating multiple agents without conflicts while maintaining fast decision speed and ensuring safe automation with guardrails.

Accomplishments that we're proud of

We built a scalable multi-agent architecture capable of real-time operational decision making with automated conflict resolution and safety controls.

What we learned

We learned how important coordination, guardrails, and feedback loops are when building autonomous AI systems for real-world operations.

What's next for Apex-QC

Next we plan to improve the learning loop, integrate real operational datasets, and expand the system to support larger dark store networks.

Built With

• amazon-nova-pro
• aws-bedrock
• aws-sdk
• framer-motion
• gsap
• javascript
• lucide-react
• node.js
• react
• tailwind-css
• typescript
• vite