Welcome to this comprehensive podcast on configuring product families in Oracle CPQ. We'll explore the product hierarchy, attributes, and organization techniques that enable efficient product management and customization. This presentation will provide you with the knowledge to structure your products effectively, enhancing your ability to merchandise and navigate through your catalog.

This podcast details configuration rules within a product hierarchy, focusing on how to view rule summaries and utilize price books and arrays within those rules. It explains how to access and interpret rule summaries at various product levels, showing how price books function as variables in rule conditions and actions (e.g., recommendation, constraint, and hiding rules). The podcast also describes how arrays are handled in rules, treating each array index as a separate rule instance, affecting attribute visibility, settings, and constraints differently based on rule type. Finally, podcast provides a step-by-step guide on using array attributes in constraint rules, emphasizing the importance of attribute compatibility and value selection within the rule's action.

This podcast details how to configure rules within a system to execute only once per configuration session, optimizing performance by avoiding redundant operations. It achieves this using three boolean attributes: runOnceBegin, runOnceEnd, and cfgRunOnce_line. The method involves strategically setting these attributes' values and using them as conditions in rules to control execution. The podcast provides step-by-step instructions for creating these attributes and modifying configuration layouts and rules to implement this once-per-session execution, emphasizing the importance of attribute order for correct functionality.

This podcast details how to create and manage table-based configuration rules within Oracle CPQ. These rules, accessible via a point-and-click interface, leverage data tables to define recommendations and constraints without requiring BMQL coding. The process involves defining rule properties (name, status, activation conditions), selecting a data table, specifying filtering criteria (using static values or configuration attributes), and mapping table columns to action attributes. Crucially, the podcast explains how to handle array attributes in both filters and action mappings, providing clear instructions and outlining the behavior of rules under various conditions. The podcast's purpose is to furnish administrators with a comprehensive guide for implementing sophisticated, data-driven configuration logic within the Oracle CPQ system.

This podcast details how to configure Bills of Materials and pricing rules within Oracle CPQ (Configure, Price, Quote) software. Bills of Materials rules, triggered by product configuration attributes, dynamically generate lists of parts and quantities displayed to buyers. These rules utilize conditions (e.g., "Always True," "Simple Condition," "Advanced Condition") and actions (displaying a Bills of Materials) to control part visibility. Pricing rules, similarly based on conditions and actions, calculate prices based on product configurations. They allow for optional price display and inclusion in the total price, potentially employing advanced functions for complex calculations. Both Bills of Materials and pricing rule configurations involve defining properties, conditions, and actions, with the option of using advanced functions (BML scripts) for greater flexibility. The podcast also addresses best practices and specific use cases, including handling negative pricing scenarios. (Note: Bills of Materials are different from BOM Mapping rules)

This podcast details how to configure and manage "Recommended Items" within a product configuration system, likely for a software application related to e-commerce or sales. The core functionality allows associating additional parts or models with a main product, specifying whether these additions are mandatory or optional purchases. Rules govern which recommended items appear, based on defined conditions and actions, with pricing handled through rule-based overrides or defaulting to price books or base prices. The administration section outlines the steps for creating these rules, including setting conditions (always true, simple, or advanced), choosing actions (simple UI selection, advanced BML scripting, or table lookup), and defining item quantity and mandatory status. Finally, the podcast explains how quantities are summed across multiple rules and how the tag in the pipeline viewer indicates user selections.

This podcast details rules for mapping Bill of Materials (BOM) items and attributes to Oracle CPQ Configuration attributes and Commerce line items. It describes two primary methods: simple table-based rules, offering a declarative approach, and advanced BML-based rules, providing greater flexibility for complex scenarios. The podcast covers bidirectional mapping (Configuration to BOM and BOM to Configuration), handling of various attribute types (including configurable arrays), rule execution order, conflict resolution, and best practices for maintaining data integrity. A significant portion focuses on using BML for customized mapping logic, providing examples of adding, deleting, and modifying BOM items and attributes. The ultimate goal is to ensure accurate and efficient association between product configurations and their corresponding BOM structures within the Oracle CPQ system.

This podcast describes "hiding rules" in a configuration system, allowing selective attribute concealment based on predefined conditions. These rules, comprising a condition and an action (hiding specific attributes), streamline configuration processes by reducing the need for numerous flow rules. The podcast details the functionality of AJAX-enabled hiding rules, which provide instant updates without page refreshes, though with limitations such as not supporting tab hiding when all attributes within are hidden. Crucially, the guide covers creating and managing these rules, including associating them with recommendation rules to prevent internal constraint errors by dynamically adjusting hidden attribute values. Finally, it offers best practices and important considerations regarding AJAX rule performance and compatibility.