Supply Chain and Logistics

Using Graph Neural Networks on Databricks for Supply Chain Optimization

Revealing Hidden Relationships with GNNs for Smarter Procurement and Network Design What if your supply chain could think in relationships, not rows? In this article, we unpack how GNNs on Databricks reveal the hidden structure of supply networks—unlocking smarter decisions in procurement, logistics, and supplier risk.

Read More
Smarter Supply Chains with Agentic AI: Forecasting, Documents and Real-Time Decisions

In today’s fast-moving logistics landscape, reacting isn't enough. This article explores how 0to60.ai, together with Databricks, is helping enterprises build intelligent supply chains powered by autonomous agents. From adaptive demand forecasting to automated document extraction, see how real-time AI orchestration is improving accuracy, reducing stockouts, and transforming operational planning into a proactive advantage.

Read More
Multi-Agent Systems: Beyond the Buzzword with 0to60.ai’s Orchestration Engine

Most supply chain AI deployments automate isolated tasks, not full workflows. This article explores how 0to60.ai brings true coordination with a multi-agent orchestration engine. By synchronizing agents across inventory, logistics, and vendor operations, businesses can reduce delays, improve agility and scale seamlessly within their existing systems.

Read More