The platform functions independently of underlying ERP systems, such as SAP IBP or Blue Yonder, allowing companies to integrate the technology without replacing current infrastructure. By generating and executing Python code on the fly, the AI evaluates thousands of potential outcomes simultaneously. This shift moves supply chain planning from static, periodic reporting to dynamic, live problem-solving.
ketteQ Debuts Quintus, an Agentic AI for Supply Chain Management
Atlanta-based ketteQ has launched Quintus, an autonomous AI system designed to operate as a decision-making layer across existing supply chain software. Unlike traditional platforms that bolt AI onto legacy architectures, this system uses a patent-pending solver to execute tasks and reason through unscripted logistics scenarios in real time.
Mike Landry, founder and CEO of ketteQ, argues that the ability to act—rather than merely advise—distinguishes this technology from previous iterations. Early adopters, including Alliance Consumer Group, have already reported significant gains, such as an increase in inventory turns from 2.75 to 4.0. The system is designed to remain fully auditable, ensuring that every AI-driven decision remains under human oversight, which the company frames as a prerequisite for enterprise safety.
Comments (0)
No comments yet. Be the first!