Customers are like a breakable glass that is considered to break when not handled with care. There are countless product-specific companies and heterogeneous human-centric industries where the roots lie in customer behavior, their ideologies for your brand, the dependency factor and how your brand saturates them through their lens. It is really paint-by-numbers approach that works horizontally as well as vertically.
Saturating this highly-anticipated market when the goal is to provide instant help, accurate suggestions, drive conversions and then artificial intelligence chat bots comes to the rescue.
Let’s explore the most essential features that a chatbot must have before entering a human-centric industry. Take a sneak peek.
1. Predictable intelligence
A chatbot must have the ability to observe customer behavior, past conversations, build a profile with customer preferences and based on it being able to hit skilled and mindful reactions and make the business more efficient, smarter and successful.
2. Small Talk interactions
The chat bots must have the ability for small talk conversations. It needs to be able to deal with daily issues and create a more realistic human-like answer to create meaningful business results.
3. Advanced messaging
Advanced messaging allows them to send and receive pictures, documents or links and files when enabled in Chatbot. Boost them with features like clickable buttons that display users’ maps and tiles about links, shortcuts and images.
4. Natural Language Processing and Machine Learning
This is at the heart of any modern chatbot. Also known as NLP, it uses deep learning to analyze human input and generate a response. It happens when response analysis and generation are taught through the deep learning algorithm.
5. Topics and Steps within the Subject
When in the chat, something about a topic is discussed such as discussing the selection of beverages on a food chat bot and then move on to the next step, as the payment option is defined as changing the switch from topics to intra-topics. This built-in intelligence needs to be there in a chatbot.
6. Robust Analytics
Analytics shows insights into how your users interact with your bot. Through Analytics, you get to know what your customers’ urgent needs are, how many customers have engaged with the bot, and so on. Analytics is an important piece of driving business when done correctly, driving higher sales, improving target marketing and optimizing experiences.
7. Extended support
Chatbots must be able to provide necessary information and positive experience that creates 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 useful.
This can be effectively achieved by adding Machine Learning in the course of Chatbot-app development to achieve superior human-computer interaction.