AI+ Sales Practitioner™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
German

Training Solutions
WalkIn®

Sales is increasingly becoming a data-driven system in which speed and precision are critical. AI opens up new ways to better understand and specifically address customer needs.

Key topics:

  • Data-driven decision-making in sales
  • Automation of repetitive sales tasks
  • AI-powered predictions and forecasting
  • Optimizing the customer experience through technology
  • Scaling sales processes

Prerequisites
Understanding of basic sales processes and an interest in innovation

Target audience
Sales professionals and managers with a focus on digitalization

A clear view of current developments enables you to identify opportunities early on and strategically advance your sales efforts.

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Course Content
  • Fundamentals of AI
  • Historical Development and Evolution of AI in Sales
  • AI Tools and Technologies Transforming Sales
  • Advantages and Challenges of Implementing AI in Sales
  • Practical Examples and Applications of AI in Sales
  • The Future of AI in Sales
  • Categories of sales data
  • Techniques for effective data collection
  • Fundamentals of data analysis and interpretation
  • Methods of data management
  • Principles of data protection
  • Data integration in CRM systems
  • Overview of analysis tools
  • Ethical use of sales data
  • Case Studies: Practical Data Applications
  • Introduction to Machine Learning in Sales
  • Predictive Analytics: Forecasting Sales Trends
  • NLP (Natural Language Processing): Improving Customer Interactions
  • Chatbots: Automating Customer Service
  • Segmentation: Tailoring Customer Experiences
  • Personalization: Tailoring sales approaches
  • Recommendation systems: Promoting product recommendations
  • Sales automation: Optimizing sales processes
  • Performance Analysis: Measuring Sales Effectiveness
  • Fundamentals of CRM Systems
  • Integration of AI into CRM Systems
  • Lead Scoring
  • Customer Insights
  • Sales Automation
  • Personalized Communication
  • Chatbots in CRM
  • Gaining actionable insights from data
  • Case studies
  • Introduction to Sales Forecasting
  • Overview of Predictive Models in Forecasting
  • Data Preparation for Analysis
  • Identifying Sales Patterns and Trends
  • Improving Forecast Reliability
  • Key AI Tools for Forecasting
  • Using real-time data for forecasting
  • Developing forecasts for various scenarios
  • Measuring the success of sales forecasts
  • Task automation
  • AI-powered email marketing
  • Social media with AI analytics
  • AI-powered lead generation
  • Customer segmentation
  • Optimization of sales visits and calls
  • Content personalization through AI insights
  • Real-time monitoring of sales activities
  • Upselling and cross-selling with AI
  • Ethical Use of AI in Sales
  • Identifying Bias in AI Systems
  • Mitigation of Bias
  • Transparency in AI decision-making processes
  • Accountability for AI Actions
  • Protection of customer data
  • Compliance with legal regulations
  • Building customer trust through ethical AI
  • Anticipating ethical challenges in AI development
  • Scenario-based exercises
  • Overcoming Sales Challenges with AI
  • Collaborative AI implementation plans
  • What Are AI Agents
  • Types of AI agents
  • Applications and trends of AI agents in sales

Frequently Asked Questions

  • More closed deals through data-driven decisions, automated lead qualification, and more targeted customer outreach—with measurable results in conversion rates and revenue.
  • Clearly structured sales processes, more accurate forecasts, and faster deal cycles through the strategic use of AI in day-to-day operations.
  • From lead scoring to personalized outreach messages to predictive analytics—all directly applicable to real-world sales processes.
  • Practical use of CRM extensions, AI-powered analytics tools, and automation platforms for outreach, pipeline management, and reporting.
  • For anyone looking to scale their sales: from account executives to sales managers who want to work more efficiently and in a data-driven way.
  • Slower processes, a poorer data foundation, and missed revenue opportunities compared to competitors who have already automated and optimized their operations.
  • Right after the course—with clear frameworks, ready-to-use workflows, and concrete use cases for your own sales funnel.
  • AI is rapidly transforming purchasing processes—those who understand early on how to apply it in sales will secure a clear competitive advantage.

Do you have any further questions? Please contact us.