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7 Features Every Chatbot for a Human Centric Industry Must Possess

7 Features Every Chatbot for a Human Centric Industry Must Possess

Customers are like a breakable glass that is deemed to break when not handled with care. There are myriad of product-specific companies and heterogeneous human-centric industries, of which, the roots lie in the customers’ behavior, their ideologies for your brand, the reliance factor, and how your brand satiates them through their lens. It’s truly paint-by-number approach that works horizontally as well as vertically.

To saturate this highly expectant market when the goal is to provide instant help, accurate suggestions, drive conversions then chatbots supercharged with Artificial Intelligence comes to the rescue.

Let’s delve into the most imperative features a chatbot must possess before entering a human-centric industry. Take a sneak peek.

1. Predictive Intelligence

A chatbot should have the ability to observe customer behavior, past conversations, build a profile of customer preferences and based on that it should be able to frame adept and brainy responses and make the business more efficient, smarter and successful.

2. Small Talk Interactions

The Chatbots must possess an aptitude for small talk conversations. It should be able to handle the everyday questions and generate a more realistic human-like response to drive meaningful business results.

3. Advanced Messaging

Advanced Messaging, when enabled in Chatbot, gives them the knack to send and receive images, documents or links, and files. Boost them with features like clickable buttons, showing users cards and tiles about links, shortcuts, and images.

4. Natural Language Processing and Machine Learning

This is the core of any modern chatbot. Also known as NLP it employs deep learning to analyze human input and generate a response. It happens when response analysis and generation is learned through the deep learning algorithm.

5. Topics and intra-topic Steps

When in the chat something is discussed over a subject like discussing Beverage selection on a Food Chatbot and then progressing on to the next step like the payment option is defined as smoothly switching from topics to intra-topics. This in-built intelligence should be there in a chatbot.

6. Robust Analytics

Analytics shows the insights into how your users interact with your bot. Through Analytics, you come to know what your customers’ pressing needs are, how many customers have engaged with the bot and so on. Analytics is an imperative piece of driving business, when done right it drives higher sales, improves target marketing and optimizes experiences.

7. Extended Support

Chatbots should be able to supply needful information and positive experience making a pleasant intimacy with customers.

Eventually, chatbot should bring a hybrid experience of all these qualities and incorporate a structured content and images into the conversation, making the experience richer and useful.

This can be effectually achieved by infusing Machine Learning during Chatbot app development in order to gain superior Human-computer Interaction.