This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Feature | Notes |
|---|---|---|
| 22 JAN 2019 | Created initial document. |
This document outlines the features in Oracle Adaptive Intelligent Apps for Customer Experience. Each section includes a brief description of the feature.
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Oracle Adaptive Intelligent Apps for Customer Experience provides personalized, dynamic, and continuously adaptive offers across B2C commerce and marketing platforms. It delivers the product recommendations and promotions through commerce storefronts and marketing channels.
Widget Templates for Recently Viewed Items
Create Recently Viewed carousel widgets on your commerce site using predefined widget templates. For Oracle Commerce Cloud, use the predefined widget templates. For third-party commerce applications, copy and paste the provided code snippets into your widget code.
Clickstream Tracking for Content Clicks and Page Loads
Track additional event types for content clicks and page loads in Clickstream Status report. Use the new event types in your custom widget code.
Oracle Adaptive Intelligent Apps for Customer Experience provides guidance for salespeople to increase their win rates with data-driven pipeline management and recommendations for the next best sales action. Salespeople benefit from advanced machine-learning techniques to optimize customer engagement.
Data Volume Control for Quicker Ingestion Processing
Control the volume of data being ingested from Oracle Engagement Cloud. Use the Data Import Start Date field in the Add Engagement Cloud Connection dialog box to set the date from when you want data to be ingested.
Deal Acceleration to Meet Quarter-End Sales Targets
Use deal acceleration and help your salespeople identify opportunities that they can close early to meet their quarter-end sales target when there’s a forecasted shortfall. Set your organization’s financial year end date using supervisory controls. The adaptive intelligence models use this date when they predict which deals your salespeople can close early.
Monitor the status of data in the application. View the status of data flattening, ingestion, and processing.