How does AI/ML enhance productivity and performance for sales managers and representatives in the Coaching Plan to Performance OMBP in Oracle Fusion Cloud CX Sales Performance?
A.
AI/ML focuses on sales forecasting and pipeline management, leaving the coaching aspect unchanged.
B.
AI/ML automates the coaching process, delivering generic training modules to all sales representatives.
C.
AI/ML analyzes sales representative performance data, identifies areas for improvement, and provides tailored recommendations.
The Coaching Plan to Performance OMBP in Oracle Fusion Cloud CX Sales Performance uses AI/ML to optimize coaching efforts, directly impacting productivity and performance. The most effective approach isanalyzing sales representative performance data, identifying areas for improvement, and providing tailored recommendations.
It identifies specific weaknesses (e.g., poor objection handling) and strengths to build upon.
Tailored recommendations (e.g., targeted training or strategy adjustments) ensure coaching is personalized, driving measurable improvements.
Option A (Forecasting Focus):Forecasting and pipeline management are separate functions; coaching requires performance-specific insights.
Option B (Generic Automation):Generic modules lack the personalization needed for effective coaching, reducing impact.
Oracle’s "Oracle AI for Fusion Applications" and "CX Sales Performance" documentation emphasize AI/ML’s role in delivering individualized coaching insights, aligning with this OMBP’s objectives.
[References:Oracle AI for Fusion Applications (docs.oracle.com), Oracle Fusion Cloud CX Sales Performance Guides., ]
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