Using Analytics for Storm Tracking with Michael Wohlfarth | Alteryx Inspire 2026

Why It Matters

By automating near-real-time storm tracking and logistics, energy firms can cut waste, reduce operational risk and react faster to rapidly changing forecasts—improving resiliency and cost-efficiency during hurricanes. This showcases how analytics plus AI can materially upgrade emergency supply-chain decisioning for weather-exposed industries.

Summary

At Alteryx Inspire 2026, Opportune’s Michael (Mike) described how his team automated hurricane tracking and response using Alteryx workflows that ingest weather APIs every 15 minutes and integrate inventory, demand, driver location and routing data. The system pushes real-time dashboards and alerts to stakeholders, dynamically reallocating fuel and assets when storm tracks change. They’ve layered AI into the workflows to tighten predictions and decisioning, replacing a previously manual, error-prone process. The solution streamlines dispatching, compliance with driver hours, and supply routing for southeastern U.S. storm threats.

Original Description

Michael Wohlfarth, Director of Business Intelligence and Analytics at Opportune, joins Techstrong TV at Alteryx Inspire 2026 to discuss how analytics and automation can support storm tracking, operational planning, and faster decision-making.

This interview highlights how data-driven workflows help teams respond to complex, time-sensitive scenarios and turn analytics into practical business action.

Presented by Techstrong TV in partnership with Alteryx Inspire 2026.

#Alteryx #AlteryxInspire #Analytics #Automation #StormTracking #BusinessIntelligence #TechstrongTV