Skip to main content
AI+ Sales™ 2.0
0%
Previous
Course data
Introduction
Announcements
Module 1: Understanding Artificial Intelligence (AI)
1.1 Introduction: Introduction to Artificial Intelligence (AI) in Sales
1.2 Topic 1.1 Introduction: Fundamentals of AI
1.3 Characteristics of AI
1.4 Key Components of AI
1.5 Topic 1.2 Introduction: Historical Journey and Evolution of AI in Sales
1.6 Evolution of AI
1.7 Evolution of AI in Sales
1.8 Role of AI in Sales
1.9 AI Tools Revolutionizing Sales with NLP
1.10 Advanced Technologies in Business Forecasting
1.11 AI in Sales: Adoption of AI and Benefits
1.12 Challenges
1.13 Topic 1.5 introduction: Real-world Examples and Applications of AI in Sales and success stories
1.14 Applications of AI
1.15 Topic 1.6 Introduction: Future of AI in Sales and enhanced personalisation
1.16 Virtual Sales Assistants
1.17 Predictive Analytics
1.18 Automated Data Analysis
1.19 Sales Process Optimization
1.20 Augmented Reality (AR) in Sales
1.21 Transformation through AI
1.22 Summary: Introduction to Artificial Intelligence (AI) in Sales
Module 1: E-Book
Quiz
Module 2:Introduction: Understanding Data in Sales
2.1 Introduction: Understanding Data in Sales
2.2 Topic 2.1 Introduction: Categories of Sales Data
2.3 Types of Sales Data
2.4 Significance of Data Types in Sales
2.5 Topic 2.2 Introduction: Techniques for Effective Data Collection
2.6 Primary Data Collection Techniques
2.7 Topic 2.3 Introduction: Basics of Data Analysis and Interpretation
2.8 Importance of Data Interpretation in Sales
2.9 Data Collection and Preparation
2.10 Inferential Analysis
2.11 Data Visualization
2.12 Data Interpretation Milestones
2.13 Topic 2.4 Introduction: Data Management Methods
2.14 Topic 2.5 Introduction: Data Protection Principles
2.15 Topic 2.6 Introduction: Data Integration in CRM Systems
2.16 Topic 2.7 Introduction: Overview of Analytical Tools
2.17 Topic 2.7 Introduction: Overview of Analytical Tools
2.18 Predictive Analytics Tools
2.19 Topic 2.8 Introduction: Ethical Use of Sales Data
2.20 Topic 2.9 Introduction: Case Studies: Real-World Data Applications
2.21 Summary: Understanding Data in Sales
Module 2: E-Book
Quiz
Module 3: AI Strategy for Executives
3.1 Introduction: AI Technologies for Sales
3.2 Topic 3.1 Introduction: Introduction to Machine Learning in Sales
3.3 Understanding Machine Learning
3.4 Role of Machine Learning in Sales
3.5 Applications of Machine Learning in Sales
3.6 Challenges and Considerations in Implementing ML in Sales
3.7 Topic 3.2 Introduction: Predictive Analytics: Forecasting Sales Trends
3.8 Topic 3.3 Introduction: NLP: Enhancing Customer Interactions
3.9 Importance of Customer Interactions
3.10 Understanding Natural Language Processing (NLP)
3.11 Topic 3.4 Introduction: Chatbots: Automating Customer Service
3.12 Understanding Chatbots
3.13 Benefits of Chatbots in Customer Service
3.14 How Chatbots Work
3.15 Best Practices for Implementing Chatbots
3.16 Topic 3.5 Introduction: Segmentation: Tailoring Customer Experiences
3.17 Topic 3.6 Introduction: Personalization: Customizing Sales Approaches
3.18 Topic 3.7 Introduction: Recommendation Engines: Driving Product Suggestions
3.19 Topic 3.8 Introduction: Sales Automation: Streamlining Sales Processes
3.20 Topic 3.9 Introduction: Performance Analysis: Measuring Sales Effectiveness
3.21 Summary: AI Technologies for Sales
Module 03: E-Book
Quiz
Module 4: Implementation of AI in CRM Systems
4.1 Introduction: Implementation of AI in CRM Systems
4.2 Topic 4.1 Introduction: Foundation of CRM Systems
4.3 Topic 4.2 Introduction: AI Integration into CRM Systems
4.4 Topic 4.3 Introduction: Lead Scoring
4.5 Topic 4.4 Introduction: Customer Insights
4.6 Topic 4.5 introduction: Sales Automation
4.7 Streamlining Lead Management
4.8 Automating Communication and Follow-ups And Improving Sales Forecasting and Reporting
4.9 Enhancing Collaboration and Knowledge Sharing
4.10 Integrating AI-powered Sales
4.11 Introduction To Personalized Communication
4.12 Understanding Personalized Communication
4.13 Benefits of Personalized Communication
4.14 Personalization Techniques And Challenges of Personalized Communication
4.15 Topic 4.7 Introduction: Chatbots in CRM
4.16 Understanding Chatbots
4.17 Benefits of Chatbots in CRM
4.18 Implementing Chatbots in CRM
4.19 Topic 4.8 Introduction: Gaining Actionable Insights from Data
4.20 Topic 4.9 Introduction: Case Studies
4.21 Summary: Implementation of AI in CRM Systems
Module 4: E-Book
Quiz
Module 5: Sales Forecasting with AI
5.1 Introduction: Sales Forecasting with AI
5.2 Topic 5.1 Introduction: Introduction to Sales Forecasting And Key Concepts
5.3 Topic 5.2 Introduction: Overview of Predictive Models in Forecasting
5.4 Topic 5.3 Introduction: Data Preparation for Analysis
5.5 Topic 5.4 Introduction: Identifying Sales Patterns and Trends
5.6 Topic 5.5 Introduction: Enhancing Forecast Reliability
5.7 Topic 5.6 Introduction: Key Forecasting AI Tools in AI
5.8 Machine Learning and Neural Networks for Time Series and Regression Analysis in Data Mining
5.9 Topic 5.7 Introduction: Utilizing Real-time Data for Forecasts
5.10 Benefits, Challanges and Considerations
5.11 Topic 5.8 Introduction: Developing Forecasts for Different Outcomes
5.12 Process and Benefits of Scenario Planning
5.13 Topic 5.9 Introduction: Measuring the Success of Sales Forecasts
5.14 Sales Forecast Accuracy
5.15 Forecast Bias, Gain and Loss
5.16 Summary: Implementation of AI in CRM Systems
Module 5: E-Book
Quiz
Module 6: Enhancing Sales Processes with AI
6.1 Introduction: Enhancing Sales Processes with AI
6.2 Topic 6.1 Introduction: Task Automation
6.3 Maximizing Sales Efficiency with Task Automation
6.4 Topic 6.2 Introduction: AI-driven Email Marketing
6.5 AI-driven Personalization in Email Marketing
6.6 AI-driven Email Marketing Strategies and Best Practices
6.7 Topic 6.3 Introduction: Social Media with AI Analytics
6.8 Understanding AI Analytics
6.9 Sentiment Analysis
6.10 Predictive Analytics
6.11 Social Listening
6.12 Audience Segmentation and Optimizing Social Media Advertisements
6.13 Topic 6.4 Introduction: AI-powered Lead Generation and Automating Lead Generation
6.14 Topic 6.5 Introduction: Customer Segmentation
6.15 Importance of Customer Segmentation
6.16 Topic 6.6 Introduction: Optimizing Sales Visits and Calls
6.17 Topic 6.7 Introduction: Tailoring Content with AI Insights
6.18 Topic 6.8 introduction: Real-time Sales Activity Monitoring
6.19 Topic 6.9 Introduction: Upselling and Cross-selling with AI
6.20 Summary: Enhancing Sales Processes with AI
Module 6: E-Book
Quiz
Module 07: Ethical Considerations and Bias AI
7.1 Introduction: Ethical Considerations and Bias AI
7.2 Topic 7.1 Introduction: Ethical Use of AI in Sales
7.3 Defining Ethical AI in Sales
7.4 Topic 7.2 introduction: Bias Identification in AI Systems
7.5 AI Bias: Understanding and Mitigation
7.6 Ensuring Fairness in AI: Identifying and Mitigating Bias
7.7 Topic 7.3 Introduction: Bias Mitigation
7.8 Topic 7.4 Introduction: Transparency in AI Decision-Making
7.9 Importance of Transparency in AI
7.10 Challenges in Achieving Transparency
7.11 Topic 7.5 Introduction: Accountability for AI Actions
7.12 Topic 7.6 Introduction: Safeguarding Customer Data
7.13 Topic 7.7 Introduction: Regulatory Compliance
7.14 Topic 7.8 Introduction:Building Customer Trust through Ethical AI
7.15 Topic 7.9 Introduction: Anticipating Ethical Issues in AI Advancements
7.16 Summary: Ethical Considerations and Bias AI
Module 07: E-Book
Quiz
Module 8: Practical Workshop
8.1 Introduction: Practical Workshop
8.2 Topic 8.1 Introduction: Scenario-Based Exercises
8.3 Topic 8.2 Introduction: Addressing Sales Challenges with AI
8.4 Topic 8.3 Introduction: Collaborative AI Implementation Plans = Boosting Teamwork with Collaborative AI
8.5 Summary: Practical Workshop
Module 8: E-Book
Quiz
AICT Discussion Forum
Resources
AI+ Sales Blueprint
AI+ Sales Tools
AI+ Sales Detailed Curriculum
AI+ Sales Resources and References
Feedback Survey Form
Survey
System Compatibility Test
AI CERTs Exam Guidelines
AI + Sales Examination
View Certification
Next
Side panel
Categories
All categories
AI CERTs
AI CERTs - LAN
MS ELearning
AICERTs - Extended E-Learni...
Other Category
Other Category - LAN
Home
Search
Search
Search
Search
Close
Toggle search input
English (en)
Azərbaycanca (az)
English (en)
Español - Argentina (es_ar)
Español - Colombia (es_co)
Español - Internacional (es)
Español - México (es_mx_kids)
Español - México (es_mx)
Español - Venezuela (es_ve)
Español (es_wp)
Log in
Email
Email
Password
Password
Forgot your password?
Log in
Or login using your account
Categories
Collapse
Expand
All categories
AI CERTs
AI CERTs - LAN
MS ELearning
AICERTs - Extended E-Learni...
Other Category
Other Category - LAN
Home
Course info
Course
Q&A
AI+ Sales™ 2.0