Gartner unveils the top supply chain technology trends for 2025, with AI and automation leading the charge in transforming logistics and operations.
Category: Supply Chain
AI-Powered Demand Forecasting: The Game-Changer for Supply Chains in 2025
Discover how AI-driven demand forecasting is revolutionizing supply chain management, boosting efficiency and reducing costs for businesses worldwide.
OpenLMIS: Open Source Revolution in Health Supply Chains
OpenLMIS is transforming health commodity supply chains in low-resource settings, managing logistics for over 11,000 health facilities across multiple countries.
Celonis: Revolutionizing Supply Chains with Process Mining
Celonis is transforming supply chain operations through AI-powered process mining, enabling companies to identify inefficiencies and optimize workflows.
AI-Driven Resilience: The Future of Supply Chain Management
Discover how AI and predictive analytics are revolutionizing supply chains, enabling proactive decision-making and building resilience against disruptions.
Trump’s Tariff Tsunami: Global Supply Chains Brace for Impact
New wave of US tariffs on major trading partners sparks fears of widespread disruption and retaliation, forcing companies to rethink supply strategies.
Rust Gains Traction for Supply Chain Smart Contracts
Rust is emerging as a top language for building secure and efficient smart contracts to power blockchain-based supply chain solutions.
AI-Driven Predictive Routing: The Future of Supply Chain Optimization
Discover how AI-powered predictive routing is revolutionizing supply chain management, enhancing efficiency and reducing costs for businesses in 2025.
FOSS Supply Chain Management: The Rise of OpenSCM
OpenSCM, an open-source supply chain management platform, is gaining traction as businesses seek cost-effective and customizable solutions for logistics optimization.
AI-Driven Autonomous Supply Chains: The Future of Logistics
Companies are leveraging AI and automation to build resilient, adaptive supply chains that can predict and respond to disruptions in real-time.