Course subjects
Module 1: Introduction to Artificial Intelligence (AI) in Sales
Fundamentals of AI
Generative AI and Modern Evolution of AI in Sales
AI Tools and Technologies that Transform Sales
Benefits and Challenges in the Adoption of AI in Sales
Real-World Examples and Applications of AI in Sales
The Future of AI in Sales
Module 2: Understanding Data in Sales
Categories of Sales Data
Techniques for Effective Data Collection
Basic Concepts 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
Module 3: AI Technologies for Sales
Introduction to Machine Learning in Sales
Predictive Analytics: Sales Trend Forecasting
NLP for Enhancing Customer Interactions
Chatbots: Customer Service Automation
Segmentation: Tailoring Customer Experiences
Personalization: Customizing Sales Approaches
Recommendation Engines: Driving Product Suggestions
Sales Automation: Streamlining Sales Processes
Performance Analysis: Measuring Sales Effectiveness
Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows
Module 4: Implementation of AI in CRM Systems
Foundation of CRM Systems
AI Integration into CRM Systems
Lead Scoring
Customer Insights
Sales Automation
Personalized Communication
Chatbots and CRM
Gaining Actionable Insights from Data
Case Studies
Modern AI CRM Stack: Tools, Integrations, and Execution Layer
Module 5: 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
Case Study – How SaaS Companies Forecast Revenue Using AI
Module 6: Enhancing Sales Processes with AI
Task Automation
AI-Driven Email Marketing
Social Media with AI Analytics
AI-Powered Lead Generation
Customer Segmentation
Optimization of Sales Visits and Calls
Tailoring Content with AI Insights
Real-Time Sales Activity Monitoring
Upselling and Cross-Selling with AI
Module 7: Ethical Considerations and Bias in AI
Ethical Use of AI in Sales
Bias Identification in AI Systems
Bias Mitigation
Transparency in AI Decision Making
Accountability for AI Actions
Safeguarding Customer Data
Regulatory Compliance
Building Customer Trust through Ethical AI
Anticipating Ethical Problems in AI Advancements
Module 8: Practical Workshop