SCMDOJO

FEBRUARY 16, 2025

They can proactively identify risks, optimize processes in real time, and even negotiate supplier contracts without human oversight. These AI agents leverage real-time data, predictive analytics, and generative AI to enhance resilience, reduce costs, and improve overall efficiency in AI-driven supply chain resilience.

Supply Chain Efficiency 59

Supply Chain Efficiency Supply Chain Optimization supply chain budgeting Agile and Lean Supply Chain 59

IBM Supply Chain Blog

MAY 1, 2024

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Inventory management Generative AI models can continuously generate optimized replenishment plans based on real-time demand signals, supplier lead times and inventory levels.

Supply Chain Optimization 78

Supply Chain Optimization Agile and Lean Supply Chain Supply Chain Efficiency Supply chain 78

Una

APRIL 23, 2024

Route optimization & logistics planning Cost savings, faster delivery times, and happier customers? By plugging into real-time data, machine learning algorithms do precisely that, optimizing transportation routes to minimize fuel consumption, reduce delivery delays, and improve logistics operations.

Supply chain management 52

Supply chain management Supply chain management Supply Chain Optimization Supply Chain Efficiency 52