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:
By using PredictiveData App, ST can identify the shipments that are at-risk for late arriving late, and then take action:
By submitting both files to PredictiveData App, which uses state-of-the-art automated machine-learning, you’ll have predicted probabilities of late shipments:
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.