AI in After-Sales Service Seminar – Strengthen Customer Loyalty, Improve Service Processes, and Targetedly Develop Customers
Upon request
1–2 days
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
Artificial Intelligence (AI) for Better Post-Purchase Customer Service. The actual customer relationship often begins only after the contract is signed. Customers expect quick responses, reliable support, and solutions that are tailored precisely to their situation. At the same time, after-sales teams must handle numerous service requests, resolve complaints, and ensure long-term customer loyalty. Artificial intelligence can help process information more quickly, improve communication, and identify relevant opportunities early on.
Our AI in After-Sales Service seminar shows you how to effectively use Claude, ChatGPT, Microsoft Copilot, chatbots, and other AI tools in customer service and after-sales management. You’ll learn how to efficiently handle service requests, prepare for customer interactions, develop your own skills and those of your employees through AI-supported simulations, and devise strategies for customer retention, cross-selling, and upselling.
Content and Agenda of the AI in After-Sales Service Seminar
This training program combines modern AI applications with specific tasks from customer service, sales, and after-sales management. All modules can be freely combined to suit your needs.
- Introduction to Generative AI, AI Assistants, and Chatbots in Customer Service
- Ways to Use AI Throughout the Post-Purchase Customer Journey
- Support with customer communication, service requests, and customer care
- Opportunities for Efficiency, Quality, Responsiveness, and Customer Satisfaction
- Identify opportunities for cross-selling, up-selling, and contract renewals
- Boundaries, Risks, and Personal Responsibility in Customer Interactions
Result
Clarity on the strategic potential of AI in after-sales service.
- Create professional and personalized responses to customer inquiries
- Use AI for emails, preparing for meetings, follow-ups, and service information
- Using Chatbots and AI Assistants for Recurring Customer Inquiries
- Organize and present customer and service information
- Develop consistent communication guidelines and service workflows
- Preparing for Complaints, Escalations, and Difficult Customer Situations
- Improve the Customer Experience Through Faster and More Targeted Communication
Result
More efficient service processes and consistent, customer-focused communication.
- Simulate realistic customer conversations in a safe learning environment
- Practice Handling Objections, Complaint Discussions, and Negotiation Situations
- Customize scenarios based on customer types, products, and escalation levels
- Using AI Feedback on Conversation Skills, Tone, Argumentation, and Responsiveness
- Identifying Individual Strengths and Areas for Growth
Result
Greater confidence, professionalism, and decision-making skills in challenging interactions with customers.
- Analyze customer feedback, service histories, and call results
- Identifying Dissatisfaction, Risks of Employee Turnover, and Opportunities for Improvement
- Develop strategies for customer retention and long-term support
- Prepare proactive customer outreach and relevant additional offers
- Evaluate the Quality of AI-Generated Content and Recommendations
- Ensure data protection, confidentiality, and the responsible handling of customer data
- Develop Your Own AI Use Cases and Service Workflows for Everyday Work
Result
A concrete action plan for the effective, secure, and customer-focused use of AI in after-sales service.
What You Can Put into Practice Right Away After the AI in After-Sales Service Seminar
After training, you can use AI in a targeted way to improve customer service, support, and customer loyalty.
- Respond to customer inquiries more quickly and with a more personalized approach
- Designing Consistent and Professional Service Communications
- Be Better Prepared for Complaints and Escalations
- Systematically analyze customer feedback and service histories
- Identify the risks of employee turnover and additional growth potential early on
- Identify cross-selling, upselling, and renewal opportunities
- Develop Your Own AI-Powered Service Workflows
- Processing Customer Data Securely and Responsibly
Who is the "AI in After-Sales Service" seminar intended for?
This seminar is intended for:
- After-Sales Service Representative
- Customer Service and Customer Success Teams
- Service and Sales Staff
- Account and Key Account Managers
- Service Manager and Team Leader
- Manager of Customer Loyalty and Customer Experience
- Companies that want to use AI in customer service and sales
This training program is suitable for both new employees and experienced service and sales staff.
Prerequisites for Participation in the AI in After-Sales Service Seminar
Experience in customer service, sales, or after-sales management is helpful. Prior technical knowledge of AI is not required.
Custom AI Training for After-Sales Teams
- Customized Training for Service, Sales, and Customer Success Teams
- Integration of our own products, customer scenarios, and service processes
- Development of Customized Communication Guidelines and AI Workflows
- Simulation of specific complaints, escalations, and customer interactions
- Offered as a seminar, workshop, or in-house training session
About Us as a Training Provider
We are an experienced management consulting firm with expertise in digital transformation, artificial intelligence, customer service, and modern sales processes. Our training programs combine technological fundamentals with specific requirements from after-sales service, customer success, and customer management.
We help companies safely implement AI, streamline service processes, and strengthen customer relationships in a sustainable way. Our focus is on high-quality service, the responsible handling of customer data, and the direct integration of these solutions into day-to-day operations.
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Expertise in AI and After-Sales Service – Your Trainer
Jonas Kuhlmann helps companies implement modern AI technologies and customer-centric service processes. He explains in an easy-to-understand way how Claude, ChatGPT, Microsoft Copilot, and other AI tools can be used for customer communication, service analysis, and employee development.
His focus is on realistic real-world scenarios in after-sales service, customer success, and sales. He demonstrates how AI-powered simulations, feedback, and workflows contribute to greater confidence in customer interactions, higher service quality, and long-term customer loyalty.
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- Using AI Specifically for After-Sales Service and Customer Loyalty
- Customized Training for Service, Sales, and Customer Success Teams
- Proven expertise in AI, customer communication, and service processes
- Methods You Can Put into Practice Right Away to Improve Customer Service, Training, and Customer Loyalty
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the AI in After-Sales Service Seminar
AI can assist with customer inquiries, emails, call preparation, follow-ups, and service information. Complaints, escalations, and recurring customer issues can also be handled in a more structured way. In this seminar, you’ll learn which tasks are particularly well-suited for AI-powered support.
Yes. AI can simulate realistic customer profiles, conversation flows, and escalation levels. You can practice handling objections, handling complaints, and negotiating in a safe environment. Afterward, you’ll receive feedback on your tone, reasoning, and responsiveness.
AI can analyze customer feedback, service histories, and communication data. This makes it possible to identify dissatisfaction, churn risks, and additional support needs earlier. Based on this information, service and sales representatives can develop more targeted measures to foster customer loyalty and promote additional offerings.
The training course covers Claude, ChatGPT, and Microsoft Copilot, among other topics. It also addresses chatbots and AI assistants for customer service and after-sales processes. The focus is on selecting and applying these tools effectively for specific service tasks.
Yes. In-house training sessions, in particular, allow for the integration of a company’s own products, customer situations, and service processes. This makes it possible, for example, to address real-life complaints, escalations, or follow-up processes. Confidential customer data should only be used in authorized systems.
Data protection and confidentiality are integral parts of the seminar. You will learn which types of information are particularly sensitive and how to use AI tools responsibly. The seminar also covers quality assurance and the critical evaluation of AI-generated responses.
AI can generate realistic conversation scenarios tailored to different levels of experience, products, and customer types. This allows new employees to repeatedly practice conversations, handling objections, and managing complaints. Experienced employees benefit from more challenging scenarios and personalized feedback.
Much of the content can be applied immediately after the seminar—for example, when creating response templates, preparing for conversations, or designing service workflows. During the training, you’ll also develop your own use cases for your day-to-day work. This results in concrete solutions that can be directly integrated into service and customer processes.