Enable Price Optimization on All Quote Attributes

Oracle CPQ 26B removes the previous limitation of requiring Data Columns for price optimization and analytics. Now, pricing managers can use any transaction or transaction line attribute when setting up price optimization analytics and outputs, leveraging a new query-able transactional schema.

Capability Highlights:

• Pricing managers can utilize any transactional attribute (not just Data Columns) for Price Optimization and Win Probability analytics.
• The optimization and analytics engines have been modernized to work on this unified schema, improving flexibility without changing the overall user experience.

• Reduces Operational Overhead: Eliminates the need to create, backfill, and maintain Data Columns, significantly reducing setup time, manual work, and analytics downtime.
• Enhances Analytical Scope: Enables pricing teams to analyze and optimize using any relevant business attribute (like deal status, customer information, or sales channel), leading to more accurate price guidance and improved win rates.

Steps to enable and configure

You don’t have to do anything to enable this feature.

Tips and considerations

If you have a large number of quotes, the filter commerce attributes should be added to data columns for the best training time performance. This way, training data can be quickly gathered through data column query.