Predict which Customers will Purchase

  • 25 May 2019


The Challenge

When the wholesaler sometimes ships late, this means late orders to customers, hurting customer satisfaction and profits. .

The historical shipping data could look like this:

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Data like this is all that is needed to create a machine learning model!

The Solution

By using PredictiveData App, ST can identify the shipments that are at-risk for late arriving late, and then take action: mobile screen

By submitting both files to PredictiveData App, which uses state-of-the-art automated machine-learning, you’ll have predicted probabilities of late shipments: mobile screen

Now ST Nutritional can take action of orders that have high chance of being take, thus keep their customers happy and buying product. Just takes 4 simple steps.