Use Case 01| Building an AI-Native Supply Chain System with qRaptor | FRIDAY Demo

FRIDAY is an AI-native supply chain system built with qRaptor. In this demo, Abhilasha Mathur (Co-Founder & CTO, qRaptor) shows the system in action, then how it was built, deployed, exported to a customer's own cloud, and turned into a reusable blueprint for MSPs and SIs. You'll see a team of specialist AI agents take a real order from intake to an approved fulfillment plan, covering inventory, demand, supplier evaluation, resolution planning and policy-based approval. The same intelligence is available through the control tower, a copilot and a phone call. ⏱️ CHAPTERS 0:00 Introduction: what is an AI-native system? 0:28 The order fulfillment process & the business scenario 1:25 FRIDAY in action: agents take the order from intake to plan 3:48 Policy check & approval 4:12 Same intelligence via Copilot & voice 5:37 Recap 6:07 Building FRIDAY in qRaptor: requirements, design & generation 7:16 Adding automation, AI agents & multi-agent orchestration 8:42 Copilot, voice & deployment 9:51 Exporting FRIDAY to the customer's own cloud 11:41 Reusable blueprints for MSPs & SIs 13:03 Wrap-up 🔧 WHAT qRAPTOR DOES qRaptor helps teams architect, build, deploy and export complete AI-native systems: the application, data, automation, agents, multi-agent orchestration, copilot, access controls and governance, all working together. Run it on qRaptor, export it to your own infrastructure, or reuse it as a blueprint across customers. 🔗 Learn more: https://qraptor.ai 📩 Book a demo: https://qraptor.ai/contact #AINative #SupplyChain #AIAgents #MultiAgentSystems #EnterpriseAI #qRaptor