AI+ Customer Service 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®

Modern service experiences emerge where technology is strategically deployed to combine speed, quality, and personalization. The focus is on intelligent solutions that understand customer needs and redefine processes.

Key topics:

  • Use of AI in omnichannel service
  • Automated ticket and inquiry processing
  • Sentiment analysis and customer feedback evaluation
  • Scalable service architectures
  • Integration of AI into existing systems

Prerequisite
Basic experience in digital customer service or the CRM environment

Target audience
Service managers, CX strategists, product managers, digital teams

A strategic understanding of the targeted use of AI opens up new perspectives for efficient, scalable, and customer-centric service processes in a digitally driven economy.

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Course Content
  • Overview of AI
  • The Importance of AI in Customer Service
  • Overview of Machine Learning
  • Natural Language Processing (NLP)
  • Deep Learning and Neural Networks
  • AI-powered analytics
  • Collection of Customer Data
  • Data quality and integrity
  • Analysis of data to gain insights
  • Applying insights to improve customer service
  • AI Solutions for Customer Service
  • Integration into customer service systems
  • Training and Change Management
  • Measuring the Impact of AI on Customer Service
  • Using AI to Create Personalized Customer Interactions
  • Improving service efficiency with AI
  • Case Studies: Successful AI Implementations in Customer Service
  • Ethical Use of AI in Customer Service
  • Building Trust Through Transparency
  • Compliance with data protection regulations
  • Emerging Trends and Advances in AI Technologies
  • Innovative Use Cases for AI in Customer Service
  • Preparing for the Further Development of AI in Customer Service
  • Ethical and social aspects
  • Develop a strategic plan for the implementation and further development of AI
  • Foster an AI-driven corporate culture
  • Overcome challenges and measure success
  • Consider ethical and societal aspects
  • What Are AI Agents
  • Types of AI agents
  • Applications and trends of AI agents in customer service

Frequently Asked Questions

  • Automated responses, more accurate analyses, and 24/7 support significantly boost efficiency and customer satisfaction.
  • Faster processing times, less manual work, and consistent service quality across all channels.
  • Chatbots, voicebots, AI-powered assistance systems, and analytics tools—ready to use for support, ticketing, and customer insights.
  • Intelligent automation reduces the volume of routine inquiries and allows resources to be focused specifically on complex cases.
  • Companies that automate early on are setting new standards for speed and customer experience.
  • Existing processes are analyzed, automated, and made more efficient through data-driven decisions.
  • Slow response times, rising costs, and declining customer satisfaction when competing with industry leaders in digital transformation.
  • Teams and companies that want to build scalable, modern customer service and remain competitive in the long term.

Do you have any further questions? Please contact us.