AI+ Customer Service™

  • Customer-Centric AI: Redefine service workflows with AI-powered personalization
  • Practical Execution: Implement automation tools to optimize CX and satisfaction
  • Ethical AI Integration: Covers trust-building and responsible AI practices
  • Competitive Edge: Learn to enhance communication and service delivery at scale

 

¡Reserva ya!

  • Modalidad: Online

    Incluye:

    Candidatos ideales para este curso:

    AI Customer Service Manager. Lead customer service teams in implementing AI-driven solutions to optimize customer interactions, streamline service delivery.
    Customer Experience Strategist. Use AI technologies to analyze customer data, predict behaviors, and develop personalized experiences that improve customer engagement and loyalty.
    AI Solutions Architect. Design and implement AI-powered systems tailored to customer service needs, integrating chatbots, machine learning models, and predictive analytics.
    AI Customer Support Specialist. Utilize AI tools to assist in customer inquiries, automate responses, and ensure seamless customer support processes.

    • Candidates should possess a basic understanding of business operations and the role of customer service in organizational success. 
    • Basic familiarity with digital tools, software, and the underlying concepts of AI is expected. 
    • An insight into strategic decision-making processes within organizations, especially related to technology adoption and customer service improvements.
    • Genuine curiosity and openness to explore how AI can be applied to transform customer service practices and create value for businesses. 

    Course Overview.

    1. Course Introduction Preview

    Module 1: Introduction to Artificial Intelligence (AI) in Customer Service .

    1. 1.1 Overview of AI
    2. 1.2 Relevance of AI in Customer Service

    Module 2: Understanding AI Technologies .

    1. 2.1 Overview of Machine Learning
    2. 2.2 Natural Language Processing (NLP)
    3. 2.3 Deep Learning and Neural Networks
    4. 2.4 AI-Driven Analytics

    Module 3: Data Collection and Analysis .

    1. 3.1 Gathering Customer Data
    2. 3.2 Data Quality and Integrity
    3. 3.3 Analyzing Data for Insights
    4. 3.4 Applying Insights to Enhance Customer Service

    Module 4: Implementing AI Solutions .

    1. 4.1 AI Solutions for Customer Service
    2. 4.2 Integration into Customer Service Systems
    3. 4.3 Training and Change Management
    4. 4.4 Measuring the Impact of AI on Customer Service

    Module 5: Optimizing Customer Experiences .

    1. 5.1 Using AI to Create Personalized Customer Interactions
    2. 5.2 Increasing Service Efficiency with AI
    3. 5.3 Case Studies: Successful AI Implementations in Customer Service

    Module 6: Ethical Considerations and Trust .

    1. 6.1 Ethical AI Use in Customer Service
    2. 6.2 Building Trust through Transparency
    3. 6.3 Compliance with Data Privacy Regulations

    Module 7: Future of AI in Customer Service .

    1. 7.1 Emerging Trends and Advancements in AI Technologies
    2. 7.2 Innovative Use Cases for AI in Customer Service
    3. 7.3 Preparing for AI Evolution in Customer Service
    4. 7.4 Ethical and Societal Considerations

    Module 8: Creating an AI Strategy for Your Organization .

    1. 8.1 Developing Strategic Plan for AI Implementation and Evolution
    2. 8.2 Cultivating an AI-Driven Culture
    3. 8.3 Overcoming Challenges and Measuring Success

    Optional Module: AI Agents for Customer Service.

    1. 1. What Are AI Agents
    2. 2. Types of AI Agents
    3. 3. Applications and Trends of AI Agents in Customer Service

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