Artificial Intelligence (AI) Example: Order Management

This video gives an example for how to use AgilePoint NX to create an Order Management application that uses artificial intelligence with Microsoft Azure Machine Learning.

Video: Order Management

Embedding for the video for this example is not available at this time. To view the video, refer to http://agilepointnxblog.com/wp-content/uploads/2017/08/Machine-Learning.mp4

Prerequisites

  1. An order management application that is already created, and has been run enough times to create a dataset to train the data model.
  2. A predictive data model in Azure Machine Learning Studio that is trained with historical data and customer demographics related to the Order Management application.
  3. The Microsoft Azure Machine Learning activity is configured in the process to map the schema with Azure Machine Learning Studio.

Process Overview

  1. In the order management process, after PayPal approves the payment authorization request, the Microsoft Azure Machine Learning activity gives prediction whether a transaction is high risk.
  2. If the transaction agrees with high risk status, the process routing changes for a second level verification.

Technologies

  • AgilePoint - App Builder capabilities.
  • Azure Machine Learning Studio - Creates predictive data models based on the historical data from your dataset for data prediction.
  • Microsoft Azure Machine Learning - Configures the request and response settings to give the data prediction if it is high risk or low risk transaction.
  • Salesforce - Creates an order for the customer. You could also use a different CRM system.