AI+ Sales Practitioner™

• Sales Executives: Use AI to automate sales processes and enhance customer relationship management for improved sales performance.
• Marketing Professionals: Integrate AI with marketing strategies to customer targeting, personalization, and engagement.
• Business Development Managers: Leverage AI-driven insights to identify new business opportunities and drive growth.
• Product Managers: Utilize AI to understand customer needs, optimize pricing strategies, and improve product positioning.
• Consultants: Help organizations implement AI-powered sales strategies that drive profitability and operational efficiency.

• Comprehensive AI Understanding:Learn core AI concepts for streamlined sales workflows, trend forecasting, and client engagement.
• Predictive Sales Analytics:Learn to leverage AI for predictive modeling, forecasting sales, and enhancing decision-making.
• AI-Enhanced Customer Insights:Explore AI tools to analyze behavior, automate scoring, and personalize outreach effectively.
• Ethical AI Integration:Gain insights on addressing ethical concerns and establishing AI governance in sales.

Inhoud

1. Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) in Sales
• 1.1 Fundamentals of AI
• 1.2 Historical Journey and Evolution of AI in Sales
• 1.3 AI Tools & Technologies Transforming Sales
• 1.4 Benefits and Challenges in Adoption of AI in Sales
• 1.5 Real-world Examples and Applications of AI in Sales
• 1.6 Future of AI in Sales
Module 2: Understanding Data in Sales
• 2.1 Categories of Sales Data
• 2.2 Techniques for Effective Data Collection
• 2.3 Basics of Data Analysis and Interpretation
• 2.4 Data Management Methods
• 2.5 Data Protection Principles
• 2.6 Data Integration in CRM Systems
• 2.7 Overview of Analytical Tools
• 2.8 Ethical Use of Sales Data
• 2.9 Case Studies: Real-World Data Applications
Module 3: AI Technologies for Sales
• 3.1 Introduction to Machine Learning in Sales
• 3.2 Predictive Analytics: Forecasting Sales Trends
• 3.3 NLP: Enhancing Customer Interactions
• 3.4 Chatbots: Automating Customer Service
• 3.5 Segmentation: Tailoring Customer Experiences
• 3.6 Personalization: Customizing Sales Approaches
• 3.7 Recommendation Engines: Driving Product Suggestions
• 3.8 Sales Automation: Streamlining Sales Processes
• 3.9 Performance Analysis: Measuring Sales Effectiveness
Module 4: Implementation of AI in CRM Systems
• 4.1 Foundation of CRM Systems
• 4.2 AI Integration into CRM Systems
• 4.3 Lead Scoring
• 4.4 Customer Insights
• 4.5 Sales Automation
• 4.6 Personalized Communication
• 4.7 Chatbots in CRM
• 4.8 Gaining Actionable Insights from Data
• 4.9 Case Studies
Module 5: Sales Forecasting with AI
• 5.1 Introduction to Sales Forecasting
• 5.2 Overview of Predictive Models in Forecasting
• 5.3 Data Preparation for Analysis
• 5.4 Identifying Sales Patterns and Trends
• 5.5 Enhancing Forecast Reliability
• 5.6 Key Forecasting AI Tools in AI
• 5.7 Utilizing Real-time Data for Forecasts
• 5.8 Developing Forecasts for Different Outcomes
• 5.9 Measuring the Success of Sales Forecasts
Module 6: Enhancing Sales Processes with AI
• 6.1 Task Automation
• 6.2 AI-driven Email Marketing
• 6.3 Social Media with AI Analytics
• 6.4 AI-powered Lead Generation
• 6.5 Customer Segmentation
• 6.6 Optimizing Sales Visits and Calls
• 6.7 Tailoring Content with AI Insights
• 6.8 Real-time Sales Activity Monitoring
• 6.9 Upselling and Cross-selling with AI
Module 7: Ethical Considerations and Bias AI
• 7.1 Ethical Use of AI in Sales
• 7.2 Bias Identification in AI Systems
• 7.3 Bias Mitigation
• 7.4 Transparency in AI Decision-Making
• 7.5 Accountability for AI Actions
• 7.6 Safeguarding Customer Data
• 7.7 Regulatory Compliance
• 7.8 Building Customer Trust through Ethical AI
• 7.9 Anticipating Ethical Issues in AI Advancements
Module 8: Practical Workshop
• 8.1 Scenario-Based Exercises
• 8.2 Addressing Sales Challenges with AI
• 8.3 Collaborative AI Implementation Plans
Optional Module: AI Agents for Sales
• 1. What Are AI Agents
• 2. Types of AI Agents
• 3. Applications and Trend of AI Agents in Sales
Tools you will explore
• Salesforce Einstein
• Conversica
• Uniphore

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

• Basic familiarity with sales processes, proficiency in data analysis, Primary knowledge of CRM systems