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Future Procurement Capabilities: Supply Managers Need to Think like CFO’s

Supply Chain View from the Field

In this first of a series of blogs, I will be exploring many of the key themes that emerged in the recent Future of Procurement study I co-authored with KPMG’s Procurement Advisory Council. The first of the themes we will explore is the procurement manager’s role as a support to the Chief Financial Officer.

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Fueling Success: Career in Supply Chain Guide

SCMDOJO

We enable them by providing high-quality supply chain on-demand courses, guides, best practices, tools, and mentoring from industry experts. We have Courses like S&OP deployment, Supply Chain Digitalization , , and Negotiation in Procurement.

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Artificial Intelligence (AI) in Supply Chain & Logistics Supply

ThroughPut

To guarantee results, supply chain managers need to be able to cut through this noise with a powerful tool to make use of this vast amount of data with targeted operational analytics to detect, quantify and rank the bottlenecks building-up in business processes early on. 2) Inventory and Demand Management.

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The Future of Modern Supply Chains is Speed through AI

ThroughPut

To guarantee results, supply chain managers need to be able to cut through this noise with a powerful tool to make use of this vast amount of data with targeted operational analytics to detect, quantify and rank the bottlenecks building-up in business processes early on. 2) Inventory and Demand Management.

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No Easter Bunny?

Supply Chain Shaman

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. The traditional supply chain is inside-out, triggering processes on the back of order-to-cash and procure-to-pay financial processes. The CIO budget is hamstrung with system upgrades and software license payments.

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The Evolving Landscape of Artificial Intelligence (AI) in Supply Chains & Logistics

ThroughPut

At the same time, global spending on IIoT Platforms is predicted to grow from $1.67B in 2018 to $12.44B in 2024, attaining a 40% compound annual growth rate (CAGR) in seven years. With their ability to handle mass data, AI driven tools can prove to be highly effective in inventory management. ENHANCED SAFETY.

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AI-Driven Supply Chain Decision Intelligence: Making Smarter and Faster Supply Chain Optimization a Reality

ThroughPut

Those disciplines include decision management (including advanced nondeterministic techniques such as agent-based systems) and decision support as well as techniques such as descriptive, diagnostics and predictive analytics.” Decisions are made as a result of AI-based rules, predictions, and optimizations.