Incorporating Advertising Effects into Demand Forecasting Models
In supply chains, forecasting errors often lead to either stockouts that frustrate customers or bloated inventory that drains margins. While most…
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How to Forecast Demand for Perishable Goods with Short Shelf Life?
Forecasting demand for perishable goods with short shelf life is one of the toughest challenges in supply chain analytics. Unlike durable…
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How to Calculate Safety Stock When Both Demand and Lead Time Fluctuate?
In an ideal supply chain, demand is predictable, lead times are consistent, and inventory managers sleep peacefully at night. Reality, however,…
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How Can Machine Learning Improve Supply Chain Resilience?
If the pandemic, port blockages, and climate disruptions taught us one thing, it’s that supply chains break easily. For decades, companies…
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How Can I Compare ARIMA vs Prophet vs ML Models for SKU-Level Forecasting?
Struggling to decide whether ARIMA, Prophet, or Machine Learning (ML) is the right forecasting approach for your SKUs? You’re not alone….
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Which Forecasting Method is Best for Highly Seasonal Supply Chains?
Struggling to find the best forecasting method for seasonal supply chains? You’re not alone. Seasonal demand — whether it’s holiday shopping…
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How do you handle inventory shrinkage and spoilage?
Inventory shrinkage and spoilage are critical challenges that directly impact the profitability of businesses across various industries. This comprehensive guide explores…
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How to Prioritize Excess Inventory for Clearance?
Excess inventory is a common issue that many businesses face. It can tie up valuable capital, increase storage costs, and potentially…
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What are the key challenges and benefits of lean supply chain integration?
Lean supply chain integration refers to streamlining the entire supply chain process by eliminating waste, optimizing resources, and focusing on delivering…
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Best Practices for Inventory Planning to Prevent Theft and Fraud
Inventory planning is crucial in any supply chain management system. However, theft and fraud can pose significant risks, leading to operational…
