7 characteristics that every chatbot for a human-centric industry must have
Customers are like a breakable glass that is considered brittle if not handled carefully. There are countless product-specific companies and heterogeneous human-centric industries whose roots lie in customer behavior, your ideologies for your brand, the trust factor, and how your brand satisfies them through your lens. It’s really a paint-by-number approach that works both horizontally and vertically.
To saturate this highly expectant market when the goal is to provide instant help, accurate suggestions, drive conversions, then AI supercharged chatbots come to the rescue.
Let’s dive into the most imperative characteristics a chatbot must possess before entering a human-centric industry. Check out.
A chatbot must have the ability to observe customer behavior, past conversations, profile customer preferences and based on that, it must be able to frame expert and intelligent responses and make the business more efficient, smarter and more successful.
2. Small Talk Interactions
Chatbots must possess an aptitude for small talk. You should be able to handle everyday questions and generate a more realistic human response to drive meaningful business results.
3. Advanced messaging
Advanced messaging, when enabled on the Chatbot, allows them to send and receive images, documents, or links and files. Boost them with features like clickable buttons, display user cards, and tiles over links, shortcuts, and images.
4. Natural language processing and machine learning
This is the core of any modern chatbot. Also known as NLP, it uses deep learning to analyze human input and generate a response. It occurs when the analysis and response generation are learned through the deep learning algorithm.
5. Themes and intrathematic steps
When something on a topic is discussed in the chat, such as discussing the drink selection in a food chatbot and then moving on to the next step, such as the payment option, it is defined as a soft switch from topics to internal topics. This built-in intelligence should be there in a chatbot.
6. Robust analysis
Analytics shows information about how your users interact with your bot. Through Analytics, you get to know what are the pressing needs of your customers, how many customers have engaged with the bot, etc. Analytics is an essential piece to boost the business, when done correctly it generates higher sales, improves target marketing and optimizes experiences.
Chatbots should be able to provide the necessary information and a positive experience by creating a pleasant intimacy with customers.
Eventually, the chatbot should bring a hybrid experience of all these qualities and incorporate structured content and images into the conversation, making the experience richer and more useful.
This can be effectively achieved by infusing Machine Learning during Chatbot application development to gain superior human-computer interaction.