Pivt is an agentic supply chain crisis management platform built on IBM watsonx Orchestrate, designed to help logistics companies detect, respond to, and resolve delivery disruptions in real time, starting with weather-driven events. When a live NWS weather alert intersects an active delivery corridor, Pivt's three-agent pipeline activates automatically: the Optimizing Agent calculates reroute options with full cost and SLA analysis, the Facility Agent identifies the nearest viable drop facility if rerouting isn't justified, and the Driver Agent notifies the driver and pushes an updated route directly to Google Maps, all within 15 minutes. The platform uses Tavily for deep, real-time research on corridor conditions, weather headlines, and logistics disruption signals, giving every agent accurate and current situational context before making a recommendation. Redis serves as the platform's memory layer, maintaining live state across the agent pipeline so each agent picks up exactly where the last one left off, preserving shipment context, dispatch decisions, and route history across the full response flow without losing continuity. Together, the three agents act as a supply chain monitoring and response system and a built-in CRM for crisis resolution, turning what is today a 4–8 hour manual scramble into a fully orchestrated, auditable, 15-minute response. You can find the presentation link here: https://drive.google.com/file/d/1wPigTtPBGt5ioSkyl7xfD3oa7jMLKU-6/view?usp=sharing https://hel1.your-objectstorage.com/hackersquadcontent/project-recordings/project_rec_cmnw32fvc00iyr00kk6fq5ana-2026-04-12T184912.mp4
Built at Enterprise Agents Hackathon: Powered by IBM Watsonx Orchestrate AI Labs, Tavily, and Redis
Pivt
Pivt is an agentic supply chain crisis management platform built on IBM watsonx Orchestrate, designed to help logistics companies detect, respond to, and resolve delivery disruptions in real time, starting with weather-driven events. When a live NWS weather alert intersects an active delivery corridor, Pivt's three-agent pipeline activates automatically: the Optimizing Agent calculates reroute options with full cost and SLA analysis, the Facility Agent identifies the nearest viable drop facility if rerouting isn't justified, and the Driver Agent notifies the driver and pushes an updated route directly to Google Maps, all within 15 minutes. The platform uses Tavily for deep, real-time research on corridor conditions, weather headlines, and logistics disruption signals, giving every agent accurate and current situational context before making a recommendation. Redis serves as the platform's memory layer, maintaining live state across the agent pipeline so each agent picks up exactly where the last one left off, preserving shipment context, dispatch decisions, and route history across the full response flow without losing continuity. Together, the three agents act as a supply chain monitoring and response system and a built-in CRM for crisis resolution, turning what is today a 4–8 hour manual scramble into a fully orchestrated, auditable, 15-minute response. You can find the presentation link here: https://drive.google.com/file/d/1wPigTtPBGt5ioSkyl7xfD3oa7jMLKU-6/view?usp=sharing https://hel1.your-objectstorage.com/hackersquadcontent/project-recordings/project_rec_cmnw32fvc00iyr00kk6fq5ana-2026-04-12T184912.mp4
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