Remove Inventory Remove Supplier Negotiating Remove Warehousing
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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods. Amazon is a leader in AI-driven supply chain management.

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Walmart and the New Supply Chain Reality: AI, Automation, and Resilience

Logistics Viewpoints

Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. The COVID-19 pandemic and ongoing geopolitical shifts demonstrated the risks of relying on single-source suppliers and minimal inventory buffers.

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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. Analyzes supplier performance, market trends, and contract terms.

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Cost Performance Index (CPI): What is it and How to Calculate it?

SCMDOJO

While CPI is normally used within project management and earned value analysis, it has significant application and importance within supply chain contexts, particularly in procurement, logistics and warehousing. indicates cost inefficiency, signaling a need for supplier negotiations or alternative sourcing strategies.

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Procurement vs. Supply Chain Management: Differences, Challenges & Solutions

ivalua

Here are some key distinctions to make between Procurement vs. Supply Chain Management: Procurement is responsible for identifying suppliers, negotiating contracts, and ensuring cost-effective, compliant purchases. It’s heavily tied to spend management, risk mitigation, and supplier performance. What Is Procurement?

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A Deep Dive into AI in Manufacturing: Strategies, Benefits, and Use Cases

Jaggaer

Inventory Management – AI optimizes inventory levels by analyzing vast amounts of data to predict stock needs, automate replenishment, and improve supply chain efficiency. AI enhances just-in-time (JIT) manufacturing by synchronizing inventory with real-time production needs.

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How SAP Business One Is Embracing AI – And Why That’s a Game-Changer for OptiProERP Customers

OptiProERP

This reduces excess inventory, lowers carrying costs, and ensures on-time delivery—even when demand shifts unexpectedly. Increased Operational Efficiency Automating tasks like batch scheduling, material planning, and supplier communications reduces manual effort and improves accuracy.

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