- COURSE
AI+ Sales
Price:
Duration:
Exam:
The AI+ Sales course explores how Artificial Intelligence is revolutionizing sales strategies. It covers AI fundamentals, the historical evolution of AI in sales, and the tools and technologies transforming the industry. Participants will learn about the benefits and challenges of adopting AI, with real-world examples and future trends. The course also delves into data management for sales, including effective collection, analysis, and ethical use. Additionally, it covers AI technologies such as machine learning and their applications in enhancing sales performance and CRM integration.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Required:
- Fundamental understanding of AI and its practical applications in sales, no technical expertise required
- Openness to exploring creative approaches for generating ideas using AI tools to achieve sales goals
- Willingness to integrate AI into existing sales strategies and practices
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience
- Sales Professionals
- Digital Marketing Strategist
- IT Professional
Course Objectives
- Enhance Sales Efficiency and Productivity
- Improve Sales Performance and Effectiveness
- Enhance Customer Engagement and Satisfaction
- Optimize Sales Operations and Decision-Making
- Drive Revenue Growth and Competitive Advantage
Course Outline
Introduction to Artificial Intelligence (AI) in Sales
- Fundamentals of AI
- Historical Journey and Evolution of AI in Sales
- AI Tools & Technologies Transforming Sales
- Benefits and Challenges in Adoption of AI in Sales
- Real-world Examples and Applications of AI in Sales
- Future of AI in Sales
Understanding Data in Sales
- Categories of Sales Data
- Techniques for Effective Data Collection
- Basics of Data Analysis and Interpretation
- Data Management Methods
- Data Protection Principles
- Data Integration in CRM Systems
- Overview of Analytical Tools
- Ethical Use of Sales Data
- Case Studies: Real-World Data Applications
AI Technologies for Sales
- Introduction to Machine Learning in Sales
- Predictive Analytics: Forecasting Sales Trends
- NLP: Enhancing Customer Interactions
- Chatbots: Automating Customer Service
- Segmentation: Tailoring Customer Experiences
- Personalization: Customizing Sales Approaches
- Recommendation Engines: Driving Product Suggestions
- Sales Automation: Streamlining Sales Processes
- Performance Analysis: Measuring Sales Effectiveness
Implementation of AI in CRM Systems
- Foundation of CRM Systems
- AI Integration into CRM Systems
- Lead Scoring
- Customer Insights
- Sales Automation
- Personalized Communication
- Chatbots in CRM
- Gaining Actionable Insights from Data
- Case Studies
Sales Forecasting with AI
- Introduction to Sales Forecasting
- Overview of Predictive Models in Forecasting
- Data Preparation for Analysis
- Identifying Sales Patterns and Trends
- Enhancing Forecast Reliability
- Key Forecasting AI Tools in AI
- Utilizing Real-time Data for Forecasts
- Developing Forecasts for Different Outcomes
- Measuring the Success of Sales Forecasts