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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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Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Logistics Viewpoints

If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Gaining a better handle on demand is compelling, especially when recent sales history is often no longer a good predictor. The post Can Improving Forecast Accuracy Address Our Demand Planning Woes?

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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. weather, social media). Set Specific Business Objectives at the Start.

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Do You Really Understand What’s Driving Your Demand Planning Processes?

Logility

Descriptive, predictive and prescriptive analytics should be combined to optimize your demand planning processes. Better forecasting and demand planning processes, which in the past had been beset by low accuracy and poor adoption, were a priority. The A nalytics to B oost your Demand Planning.

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Demand Planning Software: Your Comprehensive Guide 

Logility

Good forecasting leads to good demand planning —and good demand planning means better profitability. That’s why it’s essential to be sure you’re equipping your organization with the right demand planning software. Here are our answers to some of the most common questions about demand planning software.

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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. Supply chain leaders love bright and shiny objects.