AI+ sales™

# AP-270

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

AI+ sales™

$500.00

AI+ Sales™

0:00

Why AI Sales™? 10X AI Powered Sales Impact

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.

At a Glance: Course + Exam Overview

Program Name

AI+ Sales™

Included

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

Duration

Instructor-Led: 1 day (live or virtual) Self-Paced: 6 hours of content

Prerequisites

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

Exam Format

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

Delivery

Projects & case studies

Outcome

Industry-recognized credential + hands-on experience

Who Should Enroll?

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 optimize 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.

Available Dates

Job Roles & Industry Outlook

Business Development Strategist

Develops growth strategies using AI to identify new market opportunities, enhance customer relationships, and optimize sales channels.

Sales Specialist

Manages AI tools for enhancing sales processes, improving customer engagement, and increasing conversion rates through technology.

Sales Manager

Leads sales teams using AI-driven insights, optimizes sales strategies, and oversees the implementation of AI technologies.

Sales Analytics Expert

Analyzes sales data using advanced AI algorithms to provide actionable insights, trends, and predictive outcomes for better decision-making.

Industry Growth: Empowering Sales Professionals with Data-Driven AI Insights

The global AI in sales market is expected to reach $17.5 billion by 2026, growing at a CAGR of 34.5%. (Source: MarketsandMarkets)
Companies are adopting AI tools to enhance their sales processes, improve conversion rates, and automate lead generation.
AI enables sales teams to gain deep insights into customer behavior, predict preferences, and personalize offers.
As AI adoption in sales grows, there is a strong demand for professionals who can manage AI-driven sales strategies.
AI is increasingly integrated into customer relationship management (CRM) systems, allowing for better lead scoring, personalized marketing, and data-driven sales forecasting.

Skills You’ll Gain

Leveraging Sales Data with AI

Exploring AI Technologies for Sales

Integrating AI into CRM Systems

Applying AI for Sales Forecasting

Enhancing Sales Processes with AI

Navigating Ethical Considerations and Bias in AI Sales

Implementing AI-Driven Strategies for Sales Optimization

What You'll Learn

Course Overview

Module 1: Introduction to Artificial Intelligence (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

Optional Module: AI Agents for Sales

Tools You’ll Master

Salesforce Einstein

Conversica

Uniphore

Prerequisites

Basic familiarity with sales processes and terminologies to comprehending the application of AI in sales.
Fundamental proficiency in data analysis concepts to grasp the significance of data-driven decision-making in sales.
Primary knowledge of CRM systems to understand the integration of AI technologies for sales optimization.
Participants should have proactive interest in exploring the potential of artificial intelligence to transform sales processes and overall revenue growth.