Tom Tom Festival 2019

In logistics, accurate forecasting of incoming demand is the first and most crucial step in a long value chain leading all the way down to getting a package through the last mile. Near term forecasts are necessary for resource balancing and shift staffing, with long-term forecasts instrumental in large-scale capital purchases and network modifications (“How many 747s do we need to buy this year, anyway?”). Across a network of more than 2000 sites, each with its own schedules and services, the number of forecasts and planning permutations begins to enter the millions. 
In this talk, we will walkthrough at a high-level the automated framework that we implemented in R and Spark for a global logistics company that produces over 35 million forecasts weekly. Planning the future, all without the click of a button! 

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