Adaptive Intelligent Apps for CX
Next-Best Offer and Product Recommendations
Multi-channel support allows for a seamless, consistent consumer experience across all digital channels of a business. As with all Oracle AI Apps, supervisory controls are a key design component that give users a way to interact with the data science and have some influence over the machine-generated outcomes. For Oracle AI Apps for CX, supervisory controls allow marketers and merchandisers to guide the data science algorithms based on specific business policies or objectives—for example, boosting the recommendations of products with excess inventory or enforcing brand exclusivity policies. Insights provide real-time understanding of how AI outcomes are benefiting the business.
Coordinated Open-Time Content
Offers and recommendations are calculated and shown in real time upon email opening, incorporating up-to-the-minute data regarding customer behavior. An embeddable code snippet allows Oracle AI Apps to work with Oracle Marketing Cloud as well as a variety of email service providers.
Intuitive Search Experiences
The search experience includes AI-generated type-ahead entry, related search terms, and search engine optimization with results ranked according to potential relevancy for the individual customer. Blended product recommendations are shown on the search result page in ranked order at the top of the page.
Optimized Marketing Orchestrations
Machine learning models automatically predict the best-performing mix of send-time, channel, and message for each customer based on their interaction history, profile, and content metadata to optimize for a defined business metric.
Supervisory controls allow marketers to influence the likelihood of specific decision outcomes as the programs are executing to meet specific business policies or objectives. For example, a marketer can boost the use of a specific channel or email template.
The connected audiences feature of Oracle AI Apps for CX helps digital marketers acquire and retarget consumers based on a customer's true interaction data, thereby improving the efficiency of customer acquisition strategies and the overall effectiveness of digital marketing campaigns.