Search Results: demand forecasting (165)

Machine Learning
Leo Sadovy 1
Neural networks demystified

You’ve likely heard the news that the Google DeepMind “AlphaGo” computer not only beat a human expert at the game of Go, defeating the European Go champion, Fan Hui in five straight games, but also beat the reigning world champion grandmaster, South Korea’s Lee Sedol, 4 games to 1. Go

Andrew Fowkes 0
Retailers: Christmas planning starts today!

Preparing for Christmas now may seem extreme to the everyday shopper – but that’s exactly what retailers are doing. Getting a head start will take the pain out of the busiest retail period of the year and deliver a degree of predictability in an otherwise unpredictable year. In the heat

Charlie Chase 2
You can no longer hide behind MAPE!

There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to  gain sustainable adoption.  Adoption alone doesn't necessarily mean it will be sustainable.       As

Charlie Chase 0
Stop cleansing your historical shipment data!

The real reason companies cleanse the historical demand is that traditional forecasting solutions were unable to predict sales promotions or correct the data automatically for shortages, or outliers. To address the short comings of traditional technology, companies embedded a cleansing process of adjusting the demand history for shortages, outliers, and

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