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How generative AI will revolutionize supply chainĀ 

IBM Supply Chain Blog

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.

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How Last Mile Delivery Affects the Supply Chain

The Network Effect

Synchronization of information across systems provides the visibility that can help enable world class customer service. The ability to schedule the order delivery at the point of sale, while considering the cost of delivery and existing delivery routes, requires orchestration with the inbound lead times and outbound route planning.

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Top 9 Logistics Trends to Watch Out for in 2025

SCMDOJO

This blog post delves into the top 9 logistics trends that industry professionals should monitor closely in 2025, drawing upon insights from leading organizations such as DHL and Gartner, alongside illustrative real-world applications. A key area where the impact of AI is most notably observed is in route optimization.