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Latest From The Blog
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A New (and Smarter) Way to Forecast Leadtime Demand with Intermittent Data – The LZI Method
Forecasting intermittent demand occurs in practice, when creating lead time demand forecasts for inventory planning. creating multiple forecasts of low volume items for a particular period in the future based […]
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EDA: How Data Analysis Becomes a Necessary First Step for Big Data and Predictive Analytics Modeling
When a multidisciplinary research study group at Princeton University undertook a study of the paired uses of electricity and gas in townhouses, it contacted the residents of Twin Rivers, a […]
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Scrap Your Moving Average Forecast! Improve Forecasting Performance with a NaïveLT Benchmark for Leadtime Demand Forecasting
Assessing forecasting performance for lead-time demand forecasts has been a topic herebefore. A lead-time forecast is commonly used in practice for intermittent and regular demand forecasting applications, when planning product […]
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Why You Need an Agile Consumer-Centric Demand Forecasting and Inventory Planning Process in a Disruptive Supply Chain Environment
This is a foundational article about an algorithmic inferential modeling approach that supports an agile consumer-centric demand forecasting and inventory planning process without conventional normal (Gaussian) modeling assumptions. Conventional modeling assumptions […]
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