Chatbots are becoming more and more popular. Businesses are increasingly turning to chatbots to provide their customers with a better service. Most significant sectors currently use chatbots. Advancement in…

The Rise of Chatbots

A growing number of companies are turning to conversational interfaces like chatbots to enhance their customer service efforts. The use of chatbots is increasingly widespread across a wide range of sectors. Improved usability and cost make them more helpful than ever before for businesses. Consumers are even prepared to accept them, according to a recent study. 69% of customers prefer chatbots over other methods of communication. It is predicted that by 2020, 85 percent of all business-customer interactions will be handled by chatbots, and the worldwide chatbot industry will reach $1.23 billion by 2025. Many companies are looking to outsource their development services since the sector is expected to expand rapidly.

Chatbot Uses

Chatbots don’t need vacations, sick days, or anything else their human counterparts need. They’re always accessible. They are also better at doing the same duties repeatedly, which would normally require a paid person. Online client contacts may benefit from their dependability and correctness, making them excellent. Messaging applications are a great example of this in the current market.

Mobile messaging applications will be used by more than 25% of the global population by 2019. Chatbots, rather than websites or phone services, are increasingly employed in this field, and it’s easy to understand why. Many companies depend on Live Chat to communicate with their customers, yet just 21% of the chats get a response. The average wait time for calls answered by personnel is more than three minutes. It’s a turnoff for buyers in an age of rapid gratification. Instant, dependable, and scalable customer assistance may be provided via chatbots for usage in any medium, but especially messaging applications.

Outsourcing Development Services

The software outsourcing industry for chatbot development is rising due to the proliferation of chatbots in the workplace. There are many key reasons why outsourcing is so popular:

  • Saves time in development
  • Provides access to advanced technology and a core team of skilled experts
  • Requires no extra resources from the company
  • Less risk overall to the company

There are third-party firms that supply chatbot services since they have the complex programming and organized maintenance needed. Even yet, finding the best software outsourcing business isn’t a straightforward matter to do. The following factors should be taken into account when bringing on a chatbot team:

  • What are the minimum requirements for the bot?
  • What’s the total cost?
  • What are the present staff’s technical abilities?

Three questions might help businesses limit the outsourcing market to just those that provide relevant services.

Outsourcing Technical Aspects of Chatbots

One size doesn’t fit all when outsourcing chatbot development services. It is possible to outsource certain portions of chatbot creation, depending on a company’s goals and abilities. We’ve outlined some of the most important chatbot development options below.

The Natural Language Toolkit.

  • What?

There is the Natural Language Toolkit for the symbolic and statistical processing of natural language (NLTK). It’s written for Python in English. NLTK comes with a book covering basic ideas behind the toolkit’s language processing tasks through visual examples and sample data.

  • Who?

IBM Watson Conversation Service, rasa NLU, Microsoft LUIS, Pandorabots, and ChatterBot are all examples of Python-based chatbot providers.

  • Why?

With Python, you can do almost anything. Because of its regular syntax and human-like linguistic patterns, it is also one of the easiest learning languages. These features made it possible for Python to be used in various situations from the time it was initially introduced while also broadening its scope in scientific computing. A wide variety of open-source libraries have been developed throughout the years due to this.

NLTK’s debut in 2001, five years ahead of its closest competition, cemented its position as a wide-ranging resource to assist chatbots in leveraging the greatest functionalities of NLP.

Python Development Outsourcing

Python-based chatbot development might be outsourced to save time and money for a company. Implementation, integration, and administration are the three steps of chatbot development. It would take a software outsourcing business around 14 weeks to accomplish these three phases if its engineers worked 40 hours a week. Chatbots may cost anywhere from $25 to $100 an hour, depending on the sort of chatbot.

While a three-and-a-half-month contract may seem like a lot, it’s a fraction of the cost of hiring a full-time in-house developer. The pricing isn’t the only issue here; it’s difficult to locate experienced AI developers.


  • What?

JavaScript (JS) is a high-level interpreted programming language that may also be used to create chatbots. Programming languages like JavaScript are dynamic, non-typed, and built on a “prototype” concept.

  • Who?

In second place behind Python, JS is the most often used programming language for building bots. Some of them are Stanford NLP, Apache Open NLP, and Microsoft’s LUIS. With either Stanford or Apache’s solutions, chatbot creation may be enabled via tools or APIs.

  • Why?

For basic chatbots, JavaScript (JS) advocates depend on its rapid processing time and easy analyses, and many feel that its capabilities are adequate. A variety of libraries are included, including ML tools like Weka. In comparison to JS, Python suffers from a lack of clarity, making finding solutions like looking for needles in haystacks.

The documentation and examples for JS are extensive since it has been around for so long. The lack of clarity in a programming language harms the accuracy of a chatbot, although JS helps to alleviate this problem. On the other hand, Weka falls short of Python in terms of support and extensibility.

Outsourcing JavaScript

Complexity is another reason to outsource JS chatbot development in addition to the time and money restrictions. JS is difficult for non-technical people to learn on the job, and it’s difficult to locate skilled engineers. The only option left is typically to outsource.

AI Trends in Chatbots

One of the most important aspects of artificial intelligence (AI) is the development of Natural Language Processing (NLP). Consider how difficult it is to write accurate computer code and how difficult it is to communicate precisely in human language. Understanding local variances, accents, slang, and dialect are essential to human perception.

Because of advances in machine learning (ML) and natural language processing (NLP), it’s becoming more difficult to distinguish between human – artificial communication. Every communication is monitored and analyzed by these algorithms, allowing them to improve in the future. Adaptability is the driving force behind chatbots, allowing them to learn from context and experience, much like humans. As a result, although creating a chatbot does not need artificial intelligence, all useful chatbots do.

Conversational AI has several benefits, including:

  • Integration across several platforms
  • Improved user interaction
  • Enhancing the user experience and providing better guidance
  • Improved focus of the user

Outsourcing of AI

A stunning amount of money may be made in the business world using AI services, software, and hardware. By 2021, the estimate is $57.6 billion. While AI may be incorporated into an existing organization, particularly huge corporations with heavy legacy systems, it can be challenging. There are a few essential advantages that firms should not overlook when it comes to outsourcing.

Access to Talent

Global talent pools are made available via outsourcing. Seven-figure wages are common for AI data scientists, who are in great demand. With outsourcing, you may use the competence of experts without spending money or effort recruiting them. Outsourcing companies assist organizations in selecting the best technology for their needs. And because of their experience, implementing tried-and-true models is faster than creating them from the beginning.

Lower Risk

Without prior expertise, AI initiatives might be planned in a way that leads to expensive disasters. The expertise of external service providers determines the correct method for each organization. Even if an outsourced AI solution does not meet expectations, it is far less expensive and risky than implementing it internally. Terminating a contract with an external data business is also possible if a project does not meet expectations.

Reducing Expenses

There is a major cost-inefficiency in reproducing the volume of data and previous expertise in this field. It’s possible that the only option to get AI knowledge at a reasonable price is to outsource.

Outsourcing Non-Technical Aspects of Chatbots

Other parts of chatbot creation, outside the technical ones, might be outsourced by corporations. Companies can give their brands a character by personalizing their chatbots’ responses using smart content. Professionals may write the bot’s personality, including its speech patterns, vocabulary, and response to requests. This can be done to reflect the brand’s primary message. For chatbots to preserve their distinct voice while simultaneously addressing basic functions, outsourcing chatbot copy is necessary to succeed.

A Focus on Customer Support Trends

Bots are chosen by 89 percent of people over web pages to discover new information. There are various ways chatbots may help customers, and they all revolve around customer service.

Call Centers

When compared to humans, chatbots can manage any amount of calls at any time. Chatbots can handle any amount of calls, so customers will never have to wait on hold again.


On typical e-commerce websites, purchasers may choose things, but they get no assistance in the selection process. Using chatbots, websites can assist shoppers in finding the right goods while they shop. As a result, not only do sales go up, but customer satisfaction also goes up.

Accuracy & Timeliness

Because chatbots already have all the information they need, there is no need to worry about the accuracy or the incapacity of a human customer support agent to locate the necessary data. More than ever before, chatbots can address customers’ demands more quickly and reliably.

Technology with a lot of potential

There is little dispute that chatbots are changing how companies connect with their consumers (and, to some extent, each other). Existing employment in sales, customer service, and support may be threatened by the emergence of chatbots, as with any new or growing technology.

But there is still hope for humanity. More innovative positions are needed when repetitive and menial work is mechanized. It’s particularly true for people with well-developed soft talents like leadership and collaboration and the ability to adapt to new situations. There is a bright future ahead for those prepared to change their ways.

As chatbots and AI become more commonplace, businesses will have to adapt as well. Those businesses who are too slow to adopt new technology or refuse to adapt their customer service methods will face the penalties of being out of line with the times. A well-done chatbot is now the go-to interface for customers that want the simplest, most user-friendly interfaces possible.

There will be no long-term success for companies that do not provide the same level of rapid, accurate, and personalized service as their competitors do.