Chatbots are helping businesses to evolve and succeed. Be it Siri, Alexa, Cortana, they have become an essential part of our lives today. They help enhance user experience by improving communication and solving customer queries.
It is a computer program that allows easy human interactions with text or spoken language through technologies like AI & Natural Language Processing (NLP).
This article attempts to explain why small startups and large enterprises are interested in having a chatbot solution. So, if you are someone who wishes to use them for their advantage, here are some of your questions answered:
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They are categorized into two main types based on their functionality.
-Ideal for answering close-ended queries and can be trained on set rules.
Here’s how different business segments are using bots to stay accessible, serve customers and supercharge their sales & marketing efforts:
The future holds brilliant opportunities for enterprises with virtual help desk and info bots. Implementing them as an early adopter will put you in a much better position to benefit from the evolving technology ecosystem.
Before you get started, it is crucial to define what you want the bot to do, the scope of activities and the possible challenges before the info bot is fully trained to reach its full potential.
Follow these best practices to build an intelligent chat assistant.
1. Define its Goals Based on Audience Analysis
Knowing the needs and pain points of your audience will equip the bot to answer their queries accurately. Diving deeper into what your customer wants and accordingly approaching the development process will ensure success.
2. Define the Right Technology Deployment Platform
To arrive at the right language, tech and platform, you need to understand the customer’s challenge area and how you plan to solve it. And, with that you need to ask yourself the following questions:
As interactions occur and engagement increases, you will also need to assess if the infobot is adding value.
3. List the Possible Integrations
Depending on your business type, these integrations could be any of the following:
You also need to evaluate these integrations for channels, languages & automation. For this, you can use KPIs like importance, impact, ease of use, and time-efficiency. A proficient chatbot software development partner, like Rishabh, can help you make an informed decision.
4. Build a Content Model
Humans can ask the same question in several ways. So, your infobot should be smart enough to understand the context and provide an appropriate answer. Also, the response needs to be quick and accurate to add value. With small data sets, you will have to prepare modules on how to train the bot. A content model will allow you to build a bot that understand questions and give better answers, everytime.
5. Design a Dialog & Process Flowchart
A logical flowchart can create a user journey that would cover the spread of dialogs across questions. When the information for every answer is clearly defined, your virtual assistant will be equipped to offer satisfactory responses.
6. Train the Bot
The bot needs to be trained on user intent and explain to them different variants of what customers are requesting. For this, as a chatbot architecture design & development process, you will have to make the bot understand the existing data sets for text-based elements and machine learning related aspects. It will help assess the learning progress while working appropriately.
7. Rigorous Testing
Thorough testing is a vital factor for the success of any conversational agent. So, it is recommended to have a proficient chatbot app development team to perform the real-user testing. Periodic testing and improvements can make the agent smart and accurate over time.
There is no one-size-fits-all answer to this. To estimate the cost of developing a chatbot solution, it is imperative to understand the business needs, user demands, and chatbot features to make a great solution. The duration required for end-to-end development may range from a few weeks for a simple use case to a few months for a feature-rich solution.
For instance, eCommerce companies will need a conversational bot designed to display products and answer shipping questions. However, a healthcare facility would want an infobot that can book appointments and track prescriptions.
If you are looking to build a smart virtual assistant, the best approach is to partner with an enterprise chatbot development firm experienced in your niche.
While there is no shortage of off-the-shelf chatbots, you need to consider “your data and context” to create a conversational bot. The chatbot development cost would heavily depend on the said features.
For enterprises, the bots offer a way to create a more personalized and engaging customer experience. It must deliver a wealth of customer information that is highly valuable to understand them better and grow their business. It would be best to have a chatbot app development partner who can offer diverse skillsets, a superior technical interface with a seamless process management practice, and a mature infrastructure for optimum results.
We understand the diverse business needs to develop chatbots that help organizations achieve business goals. We build custom enterprise-grade solutions by leveraging artificial intelligence, machine learning, deep learning, natural language processing technologies.
Build an intelligent chatbot that reduces human intervention accelerating our experience