AI+ Sales™

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
English

Training Solutions
WalkIn®

Artificial intelligence is becoming an integral part of modern sales strategies. Real-time analysis, automated processes, and accurate forecasts are changing how markets are understood and customer relationships are shaped. This training course provides in-depth knowledge of AI in sales and explains current developments in a clear and practical way.

Key topics

  • AI in modern sales management.
  • Data analysis, forecasting models, and sales forecasts.
  • Automated lead evaluation and customer interaction.
  • Generative AI for texts, offers, and sales documents.
  • Legal, ethical, and organizational framework conditions.

Prerequisite
Experience in sales or sales-related functions.

Target audience
Sales managers, executives, business and marketing professionals, and decision-makers with an interest in AI-supported sales processes.

The content provides guidance in a dynamic environment and promotes a reflective, strategic approach to AI as a central tool of modern sales work.
 

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course content
  • Fundamentals of AI
  • Historical development and evolution of AI in sales
  • AI tools and technologies that are transforming sales
  • Advantages and challenges of introducing 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: Data applications in the real world
  • Introduction to machine learning in sales
  • Predictive analytics: Forecasting sales trends
  • NLP: Improving customer interaction
  • Chatbots: Automating customer service
  • Segmentation: Tailored customer experiences
  • Personalization: Adapting sales approaches
  • Recommendation engines: Product suggestions
  • Sales automation: Optimizing sales processes
  • Performance analysis: Measuring sales effectiveness
  • Fundamentals of CRM systems
  • Integration of AI into CRM systems
  • Lead evaluation
  • Customer information
  • Sales automation
  • Personalized communication
  • Chatbots in CRM
  • Gaining actionable insights from data
  • Case studies
  • Introduction to sales forecasts
  • Overview of prediction models in forecasting
  • Data preparation for analysis
  • Identification of sales patterns and trends
  • Improving forecast accuracy
  • Important AI tools for forecasting in AI
  • Use of real-time data for forecasting
  • Developing forecasts for different outcomes
  • Measuring the success of sales forecasts
  • Task automation
  • AI-driven email marketing
  • Social media with AI analytics
  • AI-supported lead generation
  • Customer segmentation
  • Optimization of sales visits and calls
  • Content customization with AI insights
  • Real-time monitoring of sales activities
  • Upselling and cross-selling with AI
  • Ethical use of AI in sales
  • Recognizing bias in AI systems
  • Reducing bias
  • Transparency in AI decisions
  • Accountability for AI actions
  • Protection of customer data
  • Compliance with legal regulations
  • Building customer trust through ethical AI
  • Anticipating ethical issues as AI advances
  • 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

  • The course combines AI fundamentals with applications in sales—from lead scoring and forecasting to conversational AI and integration into CRM systems.
  • The course utilizes Salesforce Einstein, Uniphore, Conversica, and other platforms to automate sales processes and optimize them based on data.
  • Users learn to understand AI models, apply tools, use data strategically, and intelligently control sales processes—without any programming knowledge.
  • Predictive analytics is used to show how future sales opportunities can be calculated in order to deploy resources in a more targeted manner.
  • Yes. No prior knowledge of AI or programming is necessary. The entry level is low, and the content is presented in a practical manner.
  • Tool demos, exercises, and ready-to-use templates allow you to apply the methods you have learned directly to your existing sales processes.
  • It demonstrates in-depth knowledge of the use of AI in sales—a sought-after area of expertise in modern sales teams and in digital B2B sales.

Do you have any further questions? Please contact us.