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1 & 2 APR `20 STATION BERLIN
11 Apr 2019 | 13:00 - 13:20 | Big-Data.AI Summit

Forecasting Customer Demand with Deep Neural Networks

Grace Hopper Stage
Stage BAS

Accurate forecasts of the customer demand are key for a successful supply chain management. We apply deep feedforward neural networks to explore demand patterns in the sales time series of more than 1.000 products. The approach incorporates an automated model building, training and evaluation scheme. The forecasts are integrated into enterprise resource planning system of a Siemens factory. We benchmark the forecast accuracy of our approach with state-of-the-art machine learning methods.

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10 Apr 2019 | 12:30 - 12:50
Big-Data.AI Summit
10 Apr 2019 | 17:10 - 17:30
Big-Data.AI Summit
11 Apr 2019 | 13:30 - 14:00
Big-Data.AI Summit