Insights & Analysis
AI insights, industry trends, and thought leadership on the future of manufacturing planning.
The Hidden Cost of Planning Inefficiency in NAND Flash Manufacturing
Discover how legacy planning tools are costing NAND Flash manufacturers millions in lost yield, excess inventory, and missed delivery commitments. We break down the numbers and show a path forward.
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Why AI Forecasting Beats Statistical Methods for Semiconductor
Statistical forecasting has served manufacturing well for decades. But semiconductor demand patterns have outgrown these tools. Here is why AI models deliver 20-30% better accuracy.
5 Signs Your Planning System Needs an Upgrade
Still relying on spreadsheets and legacy APS? These five warning signs indicate your planning system is holding back your manufacturing operation.
JIT Excellence: Lessons from Leading Automotive Manufacturers
Just-in-time manufacturing demands near-perfect planning precision. Learn how top automotive manufacturers achieve 99%+ on-time delivery with AI-powered planning.
Building a Data Foundation for AI-Powered Planning
AI planning is only as good as the data feeding it. This guide covers the essential data architecture, integration patterns, and quality standards for successful AI adoption.
The ROI of Planning Transformation: A Framework for CFOs
How to build a business case for planning modernization. Includes ROI framework, benchmarks from comparable implementations, and stakeholder alignment strategies.
APlanner Q1 2026 Product Update: Scenario Simulation Engine
Introducing our new scenario simulation engine with Monte Carlo analysis, side-by-side comparison, and template library. Run thousands of what-if scenarios in minutes.
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