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Transforming User Experience with Custom AI Chatbots

Ever wondered how many prospects your business must have lost because your customer service representative missed a call or your sales guy couldn’t handle the number of inquiries?

What you need is an AI bot integrated into your company’s website or social chat apps such as Facebook Messenger or Skype. They can have one-to-one conversations simultaneously with any number of people just like humans would, guiding users to book a hotel room, choose an outfit to buy, or search for a new job. Chatbots can also be integrated with enterprise applications such as HCM applications for employee self-service and CRM applications to assist Sales professionals.

Chatbot Use Cases for Different Industries

eCommerce Bots

eCommerce Bots

Bots act like personal shopping assistants engaging users by suggesting products to purchase and notifying them on real-time offers and delivery status of purchased items.

Recruitment Bots

Recruitment Bots

Chatbots take away many mundane tasks from the shoulders of recruiters. Bots can analyze information from different sources and help shortlist candidates based on input criteria.

Finance Chatbots

Personal Finance Chatbots

Through quick and simple conversations, bots provide real-time investment advice and help carry out banking tasks such as payments and checking transactions.

Hospitality Chatbots

Hospitality Chatbot

A virtual hospitality assistant available round the clock helps users plan a stay, book rooms, and avail amenities through chatting, providing greater customer satisfaction.

Travel Bots

Travel Bot

Travel bots provide personalized services from booking tickets to timely notification of time-sensitive logistics alerts through quickly accessible messaging interfaces.

Car Dealer Chatbot

Car Dealer Chatbot

Automate customer service and lead generation at your car dealership site. Never miss a lead or keep a customer waiting. Get AutoMate!

Chatbots for Enterprises

Chatbots can be integrated with ERPs to carry out routine tasks more efficiently, saving on the cost of resources.

The three main instances where chatbots come to operation are for self-service applications, round-the-clock automated interaction, integration with enterprise applications for different teams to function efficiently.

Examples of Chatbot Applications in Enterprises

  • An eCommerce chatbot helps a customer identify and shop for a product by engaging in question-answer interaction influenced by the customer’s browsing pattern.

  • A person who wishes to travel can visit an airline website and interact with its chatbot to find the right flight and book tickets. The bot answers to related queries and provide personalized recommendations and offers on hotels, tourist attractions if programed to do so.

  • An employee in a business firm can inquire details such as company policies, vacation and holiday details, medical insurance and travel allowance details to a virtual office assistant chatbot integrated with other applications in the enterprise.

What Gives Chatbots their Personality

Having a character makes bots more appealing to people. Chatbots can be trained to express their personality through language. Bot UX designers feed in responses that project empathy, anticipating all possible directions of a conversation. They are also built with the capability to learn from the conversations they make.

Based on the application, bots can be made to sound somber or to express moods. For instance, an investment advisor bot may be more ‘serious’ than an eCommerce bot. A personal assistant chatbot may give emotional responses when told something ‘hurtful’.

Natural Language Processing

Bots analyze idioms, phrases, and language usage patterns from conversations to respond. Responding in this fashion instead of providing search results for inquiries, makes the conversation appear more personal than machine-like.

Entity Extraction

Bots recognize entities by extracting and categorizing data such as name, place, organization and events from an inquiry and store it. The categorized data when mapped to known entity types helps it to understand the context and provide relevant responses.

Machine Learning

Bots are built with algorithms that automate learning by identifying patterns in input data. With more conversations, the bot automatically improves and performs predictive analytics to prepare itself with relevant responses. In other words, machine learning is what makes a bot think and respond.

Sentiment Analysis

Positive, negative or neutral, the bots are programmed to understand the tone of the conversation by recognizing the sentiment associated with words. For example, when a bot identifies ‘anger’ in a customer, it can be programmed to speed up request resolutions rather than engage in further pleasantries.

Let Us Build Your Chatbot

We build AI-powered, self-learning chatbots that respond to queries or complaints, follow-up or take feedback, and perform defined tasks so that you can create higher-value interactions with your customers. Take the burden off your resource-intensive functions such as sales, help desk, admin, or even human resources. We will help you identify the use cases and develop suitable chatbots.

Platforms We Use

Some Popular Chatbot Development Frameworks helps to build voice-enabled interface like Siri that converts natural language to actionable data.


Without any coding experience, Chatfuel lets you make intuitive chatbots for Messenger and Telegram that links external resources with the user.


Botsify is yet another chatbot framework that requires zero coding knowledge to build a completely customizable chatbot for Messenger.

With you can build voice and text based chatbots that can be integrated with any messaging platform.


Together with Aspect’s NLU and Aspect’s ITR, this framework helps build conversational chatbots mostly for customer service applications.

Imagine increasing customer engagement with your own version of Siri! We can build it for you.