Software, instructions that tell a computer what to do. The software comprises the entire set of programs, procedures, and routines associated with the operation of a computer system. ... A set of instructions that directs a computer's hardware to perform a task is called a program, or software program.

The following article presents an define for Chatbot Software. Chatbots end up a trend in enterprise to clients slowly, as maximum customers pick to supply a reaction in place of chatting at the phone. In comparison, nine out of 10 clients could use Chatbot instead of a shape if available, as Salesforce notes. So 80% of agencies can be deploying chatbots with the aid of using 2020; it`s now no longer shocking. Many professionals consider chatbots also are crucial for a primary person experience. The fundamental manner to talk with emblem names is not with the aid of using touch centres, blogs and telephone programs. For organizations that need to address clients, chatbots are unexpectedly turning into a marketplace necessity. Chatbots have advanced on-line greater exponentially than any medium before. 

Usually, chatbots interact through smart speakers, smart devices and common chat & message systems such as SMS, Facebook Messenger, WhatsApp and LINE. Chatbots provide simple, button-based applications that give AI-powered virtual assistants predefined answers to their familiar questions, which recognises and intelligently answers detailed questions.

Given below are the softwares of chatbot:

ManyChat is a chatbot author of Facebook messengers. It offers you a broader scope and higher retargeting opportunity at the Facebook community of over 1.three trillion customers the usage of Messenger Facebook. It permits you to make purchases, lessen cart decline, snatch leads, and extra with Facebook Messenger. It has a fundamental drag and drops gui, so that you can configure a chatbot to your Facebook web page very quickly. You can accommodate new customers immediately, factor to items, plan posts, reply to the ones keywords, and plenty of extra.

The chatbots for Messenger, WhatsApp, Apple Company, phone and internet are integrated Freshchat. Their synthetic intelligence algorithm, Freddy, is powered. The aim is to discover goal and to connect to the client, now no longer only for the cause of liberating your chat agents` time. Freshchat can even offer you with a listing of customers and potential questions which require accurate or higher solutions thru its device gaining knowledge of technology.

Chatfuel is Messenger, Facebook, and Instagram’s strong chat site. No coding skills or prior experience is required in order to use it. A lot of businesses, including Adidas, T-Mobile, LEGO, TechCrunch, and much more, use talk fuel. You may use your bot to boost revenue, qualify leads, or answer questions that are commonly asked. This saves the customer service staff a lot of time. On the Chatfuel website, there is plenty of details to help you quickly create a bot. This provides guidance on how to ensure that you conform to Facebook’s bot laws.

Tars is a device that lets you create pages for conversations. In essence, this indicates a traditional chatboard substitution for a touchdown page. It makes it simpler with a view to apply. Tars are in particular optimised to inspire phone customers to speak obviously and easily. Making a chatbot with Tars is quite directly forward. You can also additionally both create an workout in dialogue from scratch or use a pre-built prototype.

Zendesk Chat forms part of Zendesk, a popular corporate customer service network. It features service passes for you, chatting with your clients and more. You can still use it. Inside Zendesk Chat, you can use automatic messaging to activate messages, depending on what your clients do. By checking which messages have a high rate of interaction, you will even refine the post. If you like more sophisticated chatbot functionality, you can also combine it with other chatbot software.

Quriobot is a simple chatbot with a unfastened plan that makes it an affordable opportunity in a good finances for small businesses. It has a unmarried drop and drag interface, like maximum chatbot apps. You may also both begin speakme from scratch or use one of the fashions which might be available. You can create more than one bots simultaneously as well. You can extrade the styling of Quriobot to in shape the shade scheme of your internet site or even upload custom CSS to it in case you choose. If you need a complete answer that gives you a table, stay chat and more, Quriobot combines with assist table packages consisting of LiveAgent.

SnapEngage is meant for help and purchases. On the WordPress website, you could use it. It additionally consists of Messenger and different famous apps from Facebook. The bots, which includes Info-Capture and Response Bot, are prepared to use. The custom bot API additionally lets you construct custom bots. SnapEngage presents fitness commitment” to hold a wholesome stay chat, SMS publish and HIPAA-compliant chatbots.

As you would expect from your name, LivePerson provides live chat apps. You can also use this to construct automatic chat flows. Your chatbots will connect prospective purchasers to a live support agent, deliver customer-based deals and even arrange meetings or activities. Customers may also monitor their order status, assess their balance, and address questions about billing or payment.

This article has seen chatbot software to automate the chatting and support process and its features and uses. We can choose any of them based on our requirements.

In this article, we will discuss what is Chatbot Software, and its software description.

Chatbot Software

In today's digital landscape, chatbots have become an essential part of enhancing user experiences and automating customer interactions. As your bot gains popularity and its user base grows, you might face the challenge of handling increased traffic and maintaining performance. One solution to overcome these hurdles is by deploying your bot on multiple servers. In this blog, we will explore the steps to make your bot work on multiple servers, ensuring scalability and improved user experience.

The first step in making your bot multi-server compatible is to decouple the bot's logic from its infrastructure. By separating the bot's business logic from the server, you create a more scalable and modular system. This decoupling enables you to deploy the same bot logic on multiple servers, spreading the load efficiently.

Ensure that your bot follows a stateless design. Avoid storing user-specific data on the server itself. Instead, rely on databases or external storage solutions to maintain user context and session information. This way, when a request comes in from a different server, it can access the necessary user data from the centralized storage, providing a seamless user experience.

Load balancing is a critical aspect of deploying your bot on multiple servers. Load balancers distribute incoming traffic evenly across the available servers, preventing any single server from being overwhelmed. Consider using load balancing algorithms like round-robin or least-connections to optimize the distribution of requests.

A message queue system like RabbitMQ or Apache Kafka helps in managing the asynchronous processing of messages. When a user interacts with your bot, the message queue ensures that the message is delivered to one of the bot instances running on the different servers. This ensures that no messages are lost and that the workload is distributed efficiently.

Since your bot will now run across multiple servers, you need to ensure seamless session management. One approach is to use sticky sessions, where a user's requests are routed to the same server based on session information. Alternatively, you can use a centralized session store or a distributed cache to manage user sessions across servers.

Have a centralized database or data storage system that all your bot instances can access. This will ensure consistency across servers and prevent data discrepancies. The centralized database can also serve as a backup for critical bot information.

With multiple servers, monitoring and logging become essential to track performance and identify potential bottlenecks. Implement a centralized logging system that aggregates logs from all servers for easy analysis. Additionally, set up monitoring tools to track server health, response times, and resource utilization.

Leverage automation tools like Kubernetes or Docker Swarm for easy deployment and scaling of your bot instances. These tools allow you to spin up new servers quickly based on demand and scale down during low traffic periods, optimizing resource usage.

Deploying your bot on multiple servers is a crucial step in ensuring scalability and a seamless user experience. By decoupling the bot's logic, implementing load balancing, using message queues, and centralizing data storage, you create a robust and scalable system. Additionally, session management and monitoring tools play a vital role in maintaining consistency and identifying performance issues. Embracing automation further streamlines the deployment process and allows your bot to adapt to varying workloads.

As your bot continues to grow, following these steps will ensure that it remains responsive, reliable, and capable of serving a larger user base. By building a multi-server bot, you position yourself to meet the evolving demands of your audience and deliver an exceptional chatbot experience.

Learn how to scale your chatbot's performance by deploying it on multiple servers, ensuring seamless user experiences and handling increased traffic efficiently.

Building a Multi-Server Bot: Scaling Your Chatbot Across Multiple Servers

 I have a bot made using Microsoft Bot Framework using Python. Now, I am able to capture user input using turn_context.activity.text not able to figure out -- How to capture bot response? 

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