Drug Delivery Optimization
DataRobot helps optimize supply chain delivery processes by predicting which orders can likely to be consolidated.
Using DataRobot model automation and historical drug delivery data, a business analyst can build a model that accurately predicts whether a given drug sample order could be consolidated with another upcoming order to the same location or department. You can then minimize shipping costs on those orders predicted to be consolidated by retaining them for a few days at the warehouse.
Factors that help predict whether a given drug order can be consolidated are very heterogeneous: time, drug characteristics, geographical information, doctor characteristics, etc. DataRobot’s algorithms and feature engineering naturally handle these complex datasets to generate the most accurate machine learning models in minutes.
" DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic! "