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Transforming User Experience withCustom AI Chatbots
Want to integrate a custom bot with your
- company website/social networking apps to answer customer queries,
- enterprise systems such as HCM applications for employee self-service, or
- CRM applications to assist sales professionals?
Tell us more so we can build the chatbot to your requirement.
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Chatbot Use Cases for Different Industries
E-Commerce 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
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.
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 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 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 bots help car shoppers find their perfect vehicle. The bots ensure 24/7 sales assistance, so the dealership never misses a lead or keeps a customer waiting.
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
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An E-Commerce chatbot helps a customer identify and shop for a product by engaging in question-answer interaction influenced by the customer’s browsing pattern.
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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.
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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 e-commerce 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.
How It Works
First, we work with you to identify your use cases, end goals, and target audience. With this information, we can design various conversational flows based on the type of user interaction.
To build bots that can hold contextual chat conversations, we need to infuse it with machine learning and natural language programing (NLP) capabilities. Cloud-based cognitive computing platforms such as IBM Watson are used to power the AI capabilities. We train the pre-built NLP model using training data, defining custom intents and entities. The model is tested with new data and depending on the results, we retrain the model. As we configure and customize the model, we also implement a workflow for human takeover in complex scenarios that a bot cannot handle.
While some self-service chatbot development tools allow business users to create chatbots, machine learning and AI integration often require deeper technical knowledge. We help our clients deploy chatbots by working on the complex AI integrations.
Bot Development Platforms We Use
Taking Conversational AI to the Next Level
ChatGPT, built on the GPT3 family of large language models, is a gamechanger in the conversational AI domain. It has thrown open the possibility of having chatbots with human-like conversational abilities. Given its high sense-making capability, ChatGPT is able to better understand users and respond intelligently to their queries. It derives this ability from the massive text corpus it is trained on, covering a wide range of human knowledge. With ChatGPT-inspired competitors entering the game, future chatbots will offer an even richer conversational user experience.
We help you leverage conversational AI by:
- Integrating pretrained GPT models to your existing workflows
- Fine-tuning GPT models for specific use cases
Some Popular Chatbot Development Frameworks
Wit.ai
Wit.ai helps to build voice-enabled interfaces like Siri that convert natural language to actionable data.
Chatfuel
Chatfuel enables intuitive chatbots for Messenger and Telegram that links external resources with the user.
Botsify
Botsify framework requires minimal coding knowledge to build a completely customizable chatbot for FB Messenger.
API.ai
With API.ai, it is possible to build voice and text-based chatbots that can be integrated with any messaging platform.
Aspect
Aspect’s customer experience platform and natural language understanding together enables chatbots for customer service applications.
