Remove Demand Planning Remove Metrics Remove Sourcing
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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.

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Managing Supply Chain Planning in the World of Scarcity

Supply Chain Shaman

The waste included: Negative Forecast Value Added (FVA) in demand planning. In 85% of organizations that I work with, conventional demand planning processes increase forecast error. This is amplified across the supply chain into an exponential impact on inventory and planned orders for manufacturing. Most likely.

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Quick Start Guide to Using Machine Learning for Demand Planning

ToolsGroup

Anyone who has done demand planning knows it is extremely complex, with forecasting challenges and rapidly shifting consumer demand, often exacerbated by seasonality, new product introductions, promotions, and myriad causal factors (e.g. Data Variety The more different types of data sources you factor in (e.g.

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Please Don’t AI Stupid

Supply Chain Shaman

Small companies outperform large companies, and the marquee customers of major supply chain planning technology providers underperform. The issue is that when companies optimize functional metrics, they throw the supply chain out of balance and sub-optimize value. Rethink planning based on the art of the possible and drive value.

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Reactive to Resilient: Future-Proofing Supply Chains with Intelligent Demand Planning

o9 Solutions

This article is a shortened version of themes & topics discussed in our newest Demand Planning Core White Paper. Demand planning has long been a requisite of supply chain management, but in a modern, high-speed environment, it’s become something more: a strategic lever for agility, and competitive advantage.

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

ivalua

At a high level, procurement focuses on sourcing the goods and services an organization needs, while supply chain management oversees the broader flow of those goods, from raw materials to end customers. Supply Chain Management (SCM) involves orchestrating a product’s or service’s entire lifecycle, from sourcing and production to delivery.