9 Integration with Oracle Digital Assistant
LPO is integrated with Oracle Digital Assistant (ODA) to streamline and simplify how users interact with complex business processes and data. By combining advanced natural language processing (NLP), machine learning, and LPO’s pricing capabilities, this integration reduces manual effort and enables quick, conversational access to critical business information and guidance. With ODA, you can ask questions in natural language and receive actionable responses, whether they require data analysis or need to understand product features. Typically, questions fall into two main categories:
- Data-Driven (Dynamic) Conversation:
These conversations request real-time information directly extracted from business data. You might ask about current metrics, status updates, or filtered business insights. Examples include:
- I would like to see how my departments in United States are performing.
- I want to see the locations that do not meet the approval criteria.
- Give me optimal revenue for item “Turtleneck Tunic:black” for each price zone.
The assistant retrieves relevant data, summarizes findings, and can further explain results or show the underlying SQL logic, making data analysis accessible to all users.
- Informational (Knowledge-Based) Questions:
These questions seek definitions, explanations, troubleshooting help, or configuration details sourced from documentation or product guides. Examples include:
- How can I delete a run?
- Why am I getting a run not optimized error?
- What is the default value for PRO_MERCH_RPM_FLG?
- What are the configurations for integrating with Pricing Cloud Services?
For these queries, the assistant quickly delivers concise, authoritative answers, helping users accomplish tasks or understand product features without searching through manuals.
