AI for Customer Relations

AI for customer relations: personalization, efficiency, and loyalty

Objective of the Training

This training aims to equip customer relations professionals with practical skills in generative AI tools (such as ChatGPT, MS Copilot) to optimize client interactions, personalize real-time responses, and automate request follow-ups. In one day, participants will learn to integrate AI to offer superior customer experiences, increase client satisfaction, and strengthen loyalty.

Daily program

INTRODUCTION
The impact of AI on customer relationship management
Presentation: Discussing the transformations brought by AI in customer relations, including the personalization of exchanges and the optimization of support processes.

Real Case Studies: Examples of companies that have used AI to improve customer satisfaction and optimize response times.

Interactive Discussion: Identifying participants' expectations and specific objectives in customer management and loyalty.
MODULE 1
Understanding AI in the context of customer relations
Exploration: Applications of AI to automate client interactions, analyze real-time feedback, and personalize responses.

Explanation: The importance of training support teams in AI usage to ensure consistency and uniform service quality.

Practical Example: Using ChatGPT to create automated response scripts tailored to various common situations encountered in customer service.
MODULE 2
Developing a growth mindset and innovation in customer relations
Adaptation: Adjusting customer relationship strategies to leverage AI opportunities by personalizing interactions and enhancing real-time support.

Change Management: Strategies for training support teams in AI tools to ensure continuous and progressive adoption of new practices.

Individual Coaching: Personalized advice to adjust interaction techniques based on participants' specific industry needs.
MODULE 3
The art of effective prompting in customer relations
Utilization: Employing ChatGPT to automate responses to client requests, quickly resolve issues, and personalize interactions for each client.

Practical Exercise: Creating optimized prompts to effectively and efficiently address frequent questions and client objections.

Workshop: Developing a client follow-up strategy using available data to personalize exchanges and maximize loyalty.
MODULE 4
Overview of the best tools and resources for customer relations
Presentation: Showcasing top-performing AI tools for customer relationship management, including MS Copilot for interaction analysis and automation of customer satisfaction dashboards.

Discussion: Exploring AI solutions to predict customer behaviors, adjust offers in real-time, and optimize the customer experience.
MODULE 5
Daily use of AI in my role as a customer relations officer
Automation: Streamlining customer support processes with ChatGPT and MS Copilot to reduce response times and improve interaction quality.

Practical Case: Implementing an automated system for managing client requests and analyzing real-time feedback to adjust responses and loyalty strategies.
MODULE 6
Security, ethics, and limitations of AI in customer relations
Identification: Recognizing risks associated with AI in customer relations, notably regarding data confidentiality, compliance (GDPR), and transparency in exchanges.

Collaborative Workshop: Developing best practices and ethical protocols for the responsible use of customer data in support processes.
BONUS

5 Advanced techniques to optimize your customer relationship management with AI
CONCLUSION
Conclusion, action plan, and gift
Personalized Action Plan: Designed for each participant to integrate AI into their customer management practices immediately after the training.

Practical Guide: Access to exclusive online resources to extend learning and reinforce skills post-training.

Special Gift: AI toolkit for customer relations officers (prompt templates, request management checklists, etc.).
FINAL
Evaluation and feedback
Interactive Questionnaire: Assessing developed skills and measuring participant satisfaction.

Group Feedback Workshop: Sharing best practices and ideas for integrating AI skills into customer relations.

Methodology

Participatory method

Interactive workshops, practical exercises based on real customer management situations, and illustrative case studies.

Personalized support

Coaching during the training to assist customer relations professionals in implementing AI into their daily practices.

Post-training follow-up

Optional AccessTo 4 online update sessions to reinforce acquired skills and discover the latest AI innovations for the customer relations sector.

Individual coaching sessions Available upon request for personalized follow-up, ensuring the successful application of AI in customer management processes.

Now it's your turn!

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