There’s a reason people say, “first impression is the last impression.” About 51% of customers will never approach a business again after a single bad experience. This puts pressure on every interaction and missed opportunity with potential customers, new purchasers, and long–term users.

Webchat is often the first impression for customer service interactions. However, while chat services initially connected consumers with actual customer service staff, chatbots have become increasingly common – for obvious reasons and with obvious limitations.

As a result, no platform guarantees an enhanced customer experience. Consumers care most about solving their problems. Whether they do this with a person or a chatbot is secondary.

This is what your consumers want. Chat preference continues to grow: Around 70% of consumers prefer voice chat when given a choice, and about two–thirds of customers who engage with a chat platform are more likely to return to a website and buy again.

A chatbot is a chatbot that communicates with people by voice, text, gesture, etc. It is software that interacts through various environments such as A chatbot with the power of AI (Artificial Intelligence) domains such as NLP (Natural Language Processing), enabling more natural and intelligent conversations between humans and technology.

Chatbots are designed to chat with people. These conversations range from the basic (for example, “Tell me when the bus is coming”) to the more advanced (for example, Alexa and Siri).

• Human–like speech,
• Answering user questions,
• Collecting and analyzing data,
• Guiding users through processes,
• Using predictive analytics to provide personalized services to users.

Types of Chatbots

Chatbots fall into two main categories:

1. Language–Based / Rule Based:

This category of chatbot follows the rule or algorithm to answer any question/query asked by the user. However, these are simple robots built with hard coding that can only answer a pre–programmed set of questions. Therefore, the robot cannot respond naturally, and the intelligence of such chatbots is entirely dependent on the programmer who designed them.

There are many advantages to using rule–based chatbots:

• It is not costly.
• It is easy to use.
• It is incredibly safe.
• It is easy to integrate.
• Images, videos, etc. It may contain interactive elements such as.

2. Artificial Intelligence (AI) Chatbots

To be more specific, Artificial Intelligence (AI) Chatbots that use Machine Learning (ML) are usually made using the NLP (Natural Language Processing) technique; they understand the context and purpose of a question before responding or taking any action. These chatbots generate their answers to more complex queries using natural language responses. The more you use and train these robots, the more they learn and the wiser they get with lifelike types of responses.

There are many advantages to using Artificial Intelligence (AI) Chatbots:

• It gives relatively more honest answers.
• They learn from knowledge and experience.
• There is a broader range of decision–making skills.

The relative strength of Artificial Intelligence (AI)–based chatbots largely depends on their access to training data.

As you can imagine, the wealth of this source material and the quality of the chatbot responses that follow very intensely.

What Are The Best Platforms For Creating Chatbots?

Chatbot platforms are the best starting point for beginners. These platforms have a simple and easy–to–use design. You do not need any coding knowledge with chatbot platforms. You have to create the flow or algorithm of how this chatbot will work.

Chatbot platforms are divided into two types:

1. Development Platforms

Chatbot development platforms allow you to create a coding/no coding chatbot in minutes. You have to create the flow or algorithm of this chatbot.

• Bottr
• api.ai
• Botstar
• Botsify
• Chatfuel
• Flow Xo
• Motion.ai
• Manychat

2. Broadcast Platforms

It is a platform where the user can access and use the chatbot. Here is a list of a few popular platforms:

• Slack
• Viber
• Skype
• WeChat
• Website
• Telegram 
• Messenger
• Amazon Echo

What Are the Best Frameworks for Building a Chatbot?

Chatbot Frameworks is a type of SDK that allows developers to build using NLP (Natural Language Processing), NLU, and other cutting–edge techniques. Frameworks provide essential building blocks such as intent, context, assets, and conversational design, depending on which developers need to build bots through coding. However, unlike framework platforms, there is no drag-and-drop functionality and no predefined flow or templates of any kind.

• Chatterbot
• WordPress
• RASA Stack
• IBM Watson
• Amazon’s Lex
• Google’s Dialogflow
• Microsoft’s Bot Framework (MBF)

Algorithm for Creating a Chatbot

• State the purpose of the chatbot. What kind of services will it be used for? What issue will be addressed? What is the purpose of the chatbot’s existence?
• Will it is rule–based or an Artificial Intelligence (AI)–enabled chatbot?
• Find the right platform for you (platform selection will vary based on your time, knowledge, and budget).
• Choose your framework, decide what kind of technique or technology you will use, and how complex will your chatbot be?

What are the Advantages of Chatbots for Businesses?

• Supports leads and issues to provide context to live agents.
• It improves the customer experience by providing 24/7 support.
• It reduces costs by processing larger requests without any additional expenditure.
• It reduces human error as bots instantly pull standardized information from a database.
• It reduces response time as they can instantly respond to multiple users simultaneously.
• It enables you to sell more by actively engaging with potential customers with personalized experiences.
• Chatbots can help businesses smooth operations, engage with customers, and handle requests and complaints faster.
• It analyzes market and customer data to provide instant insights and recommendations that meet the target audience’s needs.
• It increases operational efficiency by allowing people to devote more time to complex tasks rather than being stuck with the essentials.

1. Are you trying to reduce customer service costs?

However, Chatbots still need a backup, human–based option.

The time and money required to roll out a chatbot vary widely, from a few minutes and a few dollars to hundreds of hours of development costs. To build a conversation bot from scratch.

Because a live chat agent can only handle 4–6 chats at a time, a high volume lives chat service can quickly become a cost center, especially when placing training, administration, and turnover costs above hourly expenses.

A website, a chat platform, and chatbots must remain up and running. For most companies, this necessitates some form of backup customer service option.

2. Need to scale customer service operations?

Chatbots often get frustrated when they aim to replace humans for basic customer service needs. However, when chatbots provided a level of customer service beyond what consumers expected, companies found more opportunities to experiment.

3. Are you struggling with customer service response times?

It takes more than 15 seconds for a human to respond to a query. A single 15–second delay may not significantly impact the customer experience. Still, the overall uncertainty (15 seconds for each response in each interaction between each agent) can result in longer wait times and higher staffing requirements.

Likewise, if consumers expect a 24/7 response, chatbots are the most cost–effective (and in some cases only reasonable) solution.

4. Do you want more data on customer service interactions?

Chatbots can diagnose online trends and report to your organization.

Matching conversational data from chatbots on a website with visitor locations helps organizations customize their experience and improve conversion rates.

The same is not valid for live agents. Unless they have access to powerful integrations such as Microsoft Dynamics, live chat agents may not remember customer history efficiently or understand past trouble spots.

5. Do you spend time answering simple, fact–based questions?

Chatbots can pull critical information from company databases almost instantly.

Satisfi Labs provides Artificial Intelligence (AI)–based chatbots to zoos, aquariums, museums, and more. While chatbots collect visitor data, they also help consumers book tickets.