184 Billion Reasons to Fix Planning: 2025 Supply Chain Numbers That Matter
2025 was the year supply chain leaders stopped talking about
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Intelichain Recognized as a Leader in AI-Driven Supply Chain Innovation
We’re thrilled to share that Intelichain has been selected as
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Smoothing Models for Spare Parts Forecasting – Capturing Trends, Reducing Noise
Introduction Spare parts with regular or moderately variable demand patterns
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Croston Model – Forecasting Intermittent Spare Parts Demand
Introduction Traditional forecasting methods often fail when demand is intermittent,
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Poisson Model for Spare Parts Forecasting – Handling Rare Events with Precision
Introduction In spare parts management, certain components are used very
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Key Models for Effective Spare Parts Inventory Forecasting
In today’s competitive industrial and manufacturing landscape, efficient spare parts
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TCO Reimagined: Using Predictive Analytics to Quantify Lifetime Supplier Value
For years, Total Cost of Ownership (TCO) has been the
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Demand Planning: A 5-Step Process for Accurate Forecasting
Demand planning is a critical function in supply chain management
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Explainable AI: The Pizza Delivery Analogy That Makes It Click
What Pizza Delivery Can Teach Us About Trusting AI AI
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How a $30 Part Stops a $3M Line
Introduction: When the Line Went Silent It was 9:42 a.m.
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The Hidden Cost of Missing Spare Parts: Why Traditional Planning Fails
Introduction: The Small Parts with a Massive Impact It’s often
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Understanding Lead Time in Demand Planning
Lead Time is a critical concept in demand planning and
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