AI+ Sales™

Boost Sales Success Through AI-Driven Insights

* Sales Transformation: Harness AI to boost sales operations, CRM integration, and forecasting
* Hands-on Approach: Practical workshops covering AI tools and ethical sales practices
* Data-Driven Insights: Learn to analyze, optimize, and automate sales processes
* Growth-Oriented: Drive ethical business growth and maximize performance  

Course Overview

* 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

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

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