Chat Bot


Chatbots have been part of business communication platforms for quite some time. These conversational computer programs help customers do a variety of tasks online, without any hassles. These programs help with various online tasks such as ordering a meal, booking a cab, or even planning a vacation. According to experts, private messaging apps are taking over social media platforms. For instance, Messenger, Facebook’s messaging platform, has over 900 million users and 100,000 monthly active bots. With one-on-one and group chat becoming the dominant method of communication, there are almost unlimited opportunities for bots to contribute.
We design conversational bot building platform to create customizable chatbots for Lead generation, Live chat support, Interactive landing pages, Surveys, Enquiries, Appointments, Feedback and suggestions for your business.
We build and customize chatbot based on your business nature and regulate them through machine learning for efficient and more accurate answers.
How Do Chatbots Work?

Driven by AI, automated rules, natural-language processing (NLP), and machine learning (ML), chatbots process data to deliver responses to requests of all kinds.

There are two main types of chatbots.

Task-oriented (declarative) chatbots
are single-purpose programs that focus on performing one function. Using rules, NLP, and very little ML, they generate automated but conversational responses to user inquiries. Task-oriented chatbots can handle common questions, such as queries about hours of business or simple transactions that don’t involve a variety of variables. These are currently the most commonly used chatbots.
Data-driven and predictive (conversational) chatbots
are often referred to as virtual assistants or digital assistants, and they are much more sophisticated, interactive, and personalized than task-oriented chatbots. Digital assistants can learn a user’s preferences over time, provide recommendations, and even anticipate needs. In addition to monitoring data and intent, they can initiate conversations. Apple’s Siri and Amazon’s Alexa are examples of consumer-oriented, data-driven, predictive chatbots.

Benefits of ChatBot

They are bringing a new way for businesses to communicate with the world and most importantly with their customers by the help of exploding popularity of messaging apps, the accelerated development of all kinds of sensors and wearables and of course with the rise of emerging technologies and Artificial Intelligence (AI).

Keeping Up with the Trends: Being Present on Messaging Platforms

Improved Customer Service

Increased Customer Engagement

Monitoring Consumer Data & Gaining Insights

Better Lead Generation, Qualification and Nurturing

Easier Approach to Global Markets

Cost Savings

Reboot your business with Conversational AI

Harness the power of AI-powered chatbots to increase sales, provide multi-channel support, and improve organizational efficiency

Reinforced Intelligence for Handing off Conversations from Bot to Humans
Advancements in AI have enabled chatbots to become excellent first-line assistance to handle basic user queries. However, it is also true that they cannot replace the human touch. There are times when they need to transition the conversation to a live agent for complex queries/tasks.
Additionally, they enable the agents to assist users from various geographies, by providing a multilingual support.
Visitor Monitoring & Behavior Analytics
Allow along as website visitors move from page to page. Capture critical information including if they’ve been onsite before, how they arrived (such as search engine keywords used), geographic information, and more. And use the information to deliver a truly personalized live chat service. The bot has a user-friendly Admin to train and a CRM to manage the leads. Generate and qualify prospects automatically.
Data & analytics
Monitor chatbot performance and improve customer engagement.
Track custom campaigns through UTM and get better insight on ROI
Split visitors through AB testing to improve chatbot performance.
Switch to better conversational flow through Goal Tracking

Key features of Chatbot

Always on duty 24x7, 365 days a year. No holidays or off-days

Use artificial intelligence to understand and reply to a query

Easy to adjust or update the parameters

Complete flexibility according to the specific requirements of a business

Free up your personnel for other important tasks

Reminders about important tasks to be completed

User Experience of Chatbots

Chatbots don’t sleep. They’re there whenever a customer needs them, providing immediate feedback 24/7. With the proper website chat management, you will ensure your bot can process large quantities of customer information, organize it, and provide faster feedback.

Customize chatbot by adding visual elements to reflect your brand identity

Recommend products and push offers to the right person at the right time

Turn visitors into customers with human-like multi-turn conversations

Frequently Asked Queries

What are chatbots and how do they work?

Chatbots are essentially a form of automated service that customers can communicate with via text or voice on different channels, e.g. website, Facebook Messenger, phone, other applications or via voice assistants such as Amazon Alexa, Google Assistant.

Chatbots that are able to semi-automatically learn can understand natural language and therefore do not need as specific commands. That means bots based on Machine Learning get smarter with every interaction. The effort behind these automated systems is of course much greater.

With a rule-based chatbot, possible user queries and potential answers are defined in advance. If a question is asked that has not been previously defined, the chatbot will not be able to assist in answering the question.

In contrast to rule-based bots, chatbots based on Artificial Intelligence are able to process natural language. This is done with the help of Natural Language Understanding (NLU). AI-based chatbots are able to learn semi-automatically.

Chatbots are suitable for many industries and use cases. They are well-known to be able to provide excellent customer service, but there are also some great examples of chatbots in marketing & sales.

Two very important factors for the overall performance of a chatbot are the structure and quality of the data that are available for answering questions. This is where Knowledge Graphs come in.

Knowledge Graph is a synonym for a special kind of knowledge representation. It stores facts in the form of edges between nodes in a graph. In addition, most knowledge graphs also store the schema of the data. Knowledge Graphs develop their full potential, especially with large and complex data structures.

The investment that you put into a chatbot depends on various factors. Things such as the complexity of the bot, its AI capabilities, how it is built, technical integrations, infrastructure, launch & post-launch support and more have to be considered when you calculate or compare the cost of a chatbot.

Again this depends on the type of chatbot and bot builder or service provider that you chose for your technical implementation.

At Shadow infosystem, we define and implement individual content together with customers as well as any necessary interfaces to data sources. Moreover, preconfigured modules s are available through our Conversational AI platform. After the technical setup is done, thorough tests and optimizations are done before the chatbot is set live. Customers can then manage any chatbot content, analytics and more through our SaaS platform.