Customer Support

A Scenario:

  1. Chatbot greets customers warmly and inquires about their needs.
  2. Customers describe their issues; the chatbot employs NLP and machine learning for accurate responses.
  3. Routine inquiries receive instant solutions (e.g., troubleshooting, product info, FAQs).
  4. Complex issues prompt preset prompts for further guidance (e.g., billing, technical problems).
  5. Unresolved queries seamlessly transition to human support agents.
  6. Chatbot maintains a polite and helpful tone for a positive customer experience.
  7. After resolution, the chatbot offers further assistance and relevant website links.

Marketing

A Scenario:

  1. Website visitor engages with the chatbot to explore products or services.
  2. Chatbot asks questions to gauge preferences, needs, and budget.
  3. Provides tailored recommendations, emphasizing key benefits.
  4. Offers additional info like product pages, reviews, and testimonials upon user’s interest.
  5. Informs about ongoing promotions, discounts, or relevant events.
  6. Shares marketing collateral links (brochures, videos, blog posts) for further education.
  7. Facilitates user transition to purchase or information request.
  8. Marketing executives use chatbot-generated analytics to refine strategies.