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Session 14: Scaling Inventory Solutions With ML and Good Design

Mike Watson, Partner, Opex Analytics, Apr 21 2019

Companies strive to build inventory solutions that produce strong results and that can be used for years to come. In order to achieve this, they need to make sure that their science is strong (the inventory recommendations are correct), that the solution is well designed (so planners can easily use it and so that it strikes the right balance between automation and ability to override), and that it continues to produce better output over time (which is where machine learning fits in). This session will highlight our experience in building effective inventory systems and the lessons we have learned along the way.