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Agentic AI in Supply Chains: The Future of Decision Making

SCMDOJO

The Role of Agentic AI in Supply Chains Supply chains are dynamic and complex, requiring continuous decision-making across multiple functions, from procurement and inventory management to logistics and demand forecasting. Automates shipment tracking, customs clearance, and route optimization.

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Where are trucking rates headed in 2025? 7 execs weigh in – Supply Chain Dive

Let's Talk Supply Chain

In a landscape shaped by ever-changing demands and external factors, seven industry executives have stepped up to share their insights‍ and predictions. As the wheels of the trucking industry continue to turn, ‍the question on everyone’s mind is: where are trucking rates headed in 2025?

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Machine learning adoption into supply chain management on the horizon – Pharmaceutical Technology

Let's Talk Supply Chain

leveraging advanced algorithms and predictive analytics, organizations can optimize inventory management, streamline logistics, and mitigate disruptions. By leveraging advanced algorithms and data analysis, companies can optimize supply chain management, reduce costs, and improve efficiency.

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The Top 5 Key Supply Chain Capabilities

Skill Dynamics

Capability 1: Demand Forecasting and Planning Accurate demand forecasting allows a business to optimize inventory levels, reduce costs, and improve its overall customer satisfaction. It means theres always the correct amount of stock available to meet customer demands, without the risk of overstocking.

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Top 10 Transportation Challenges and Solutions Identified in Research

SCMDOJO

Demand Fluctuations: Challenge: Seasonal variations, daily sales fluctuations, and unpredictable demand patterns can lead to underutilized vehicles. Dynamic pricing: Implementing dynamic pricing structures can incentivize customers to schedule deliveries outside peak times, therefore helping to balance demand fluctuations.

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How generative AI will revolutionize supply chain 

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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Bye Bye Barry’s Bikes and Baking Powder – Supply Chain Upheaval Prompts Flight to Technology

Supply Chain Collaborator

Some industries have been nearly ground to a standstill due to immediate and near complete cessation of demand for their products. This sea change in the beer industry has also had outsized consequences for the supply of CPG packaging (huge increase in demand) as well as for the manufacture of draft barrels (demand ground to a halt).