Conversational AI is a technology behind automated messaging and speech-enable applications (like FAQs, Amazon Alexa, Siri.) It can communicate like a human by speech recognition and text, understanding intent, decoding messages, and responding in such way like human talk. Conversational AI works in a Pattern. Firstly, it receives the information input from human as a text or speech. Then it deciphers the text or speech. Using Natural Language processing it understands the human intent. Then its responses based on understanding human intent using Dialog Management. Dialog management automate the responses and converts then into human understandable format using Natural language generation. Then it delivers the response in text or speech. Machine Learning enable the system to keep updating it understanding of human behavior, language.

Business uses Conversational AI for marketing, sales, and support to engage along their entire customer journey. Conversational AI doesn’t depend on manually written scripts like chatbots. There were powered by Deep Machine Learning which enable easy scalability. It well understands a wide variety of questions without being explicitly trained. The more advanced Conversational AI can analyze and identify customer questions and issues to identify common tricky points to respond before even customer reaches out. To leverage Conversational AI to improve sales, it is necessary to build a digital ecosystem. In this system, AI not only drives the Conversation but also enable sales specialist to focus on more value-added work. A Conversational AI should lever below to significantly improve both performance and customer experience during sales:

AI Should :

  1. Able to model customer behavior to discover intent.
  2. Take customer intent into account while interacting.
  3. Have a process to identify new market and long tail niches.
  4. Have a  direction to deal with different segments of the market.
  5. Have active play on social media
  6. Enable to have active and evolve in search engine optimization strategy.
  7. Differentiate your product and services from competitors.
  8. Map the customer needs and problems with value proposition of products.
  9. Bring human support from organizations for critical discussions.
  10. Provide the option based on previous interaction of the customer.