AI Deal Scoring
Learn how AI-powered deal scoring transforms how sales teams prioritize opportunities. Build intelligent scoring models, assess risk, rank deals by likelihood to close, and take data-driven actions to maximize win rates.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
Understand how AI deal scoring works, why it matters, and how it differs from traditional scoring approaches.
2. Scoring Models
Explore different AI scoring models including predictive, behavioral, and multi-signal scoring frameworks.
3. Risk Assessment
Use AI to identify deal risks, detect stalled opportunities, and flag potential issues before they impact results.
4. Priority Ranking
Implement AI-driven priority ranking to focus rep time on the deals most likely to close and generate revenue.
5. Actions
Turn deal scores into actionable next steps with AI-recommended actions, alerts, and automated workflows.
6. Best Practices
Implement best practices for deal scoring adoption, model tuning, and continuous improvement.
Prerequisites
What you need before starting this course.
- Basic understanding of sales processes and CRM systems
- Familiarity with deal qualification frameworks (BANT, MEDDIC, etc.)
- Interest in applying AI to improve deal prioritization
Lilly Tech Systems