AI Agents Set to Disrupt Supply Chains with Automated Predictive Modeling
edgarpavlovsky · x · 2026-08-01
Using Chick-fil-A's real-time location-based order prediction as an example, Edgar Pavlovsky highlights that AI agents will make predictive modeling much easier. He expects this to hit supply chains first, enabling companies producing fungible goods to accurately forecast requirements across their entire production pipeline.
More from coding & agent
- Supermemory Launches Cross-Tool MCP to Share Long-Term Memory Among AI Agents — julianweisser · 2026-08-01
- Beyond Delegation: Exploring Weirder Interaction Modes for AI Agents — alliekmiller · 2026-08-01
- JAX Introduces Custom Types: Enabling Differentiable Rasterization Beyond Tensors — srush_nlp · 2026-08-01
- Hermes Desktop Launches Native Kanban Plugin and SDK — NousResearch · 2026-08-01
- Dev Uses Gemini and Antigravity to Teach Himself Hardware Programming — alexanderchen · 2026-08-01
- Idea: Using LLM to Build an Android App for Screen Flicker Data Transfer — francoisfleuret · 2026-08-01