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How Much Does It Cost To Build A Chatbot In 2019?

I used to be asked about it several times a week by clients who want to understand the business of chatbot creation. The price really depends on the effort required to build the bot, as we don’t sell pre-made chatbot templates.

Spoiler alert: it will take between $200 USD to $15k USD to build a single chatbot. If we’re building the chatbot platform, or self-made data science is required, the price could be even higher.

So, let’s take a look at the key drivers impacting the price for custom chatbot development.

  The first one is the channel in which the bot should function. I mean where the bot will actually do its work. Is it a website, SMS, some of the existing messaging platforms? The cheapest ones are FB, Telegram, Viber, Web and others when it’s possible to use the platform UI components to make rule-based conversations. There are even plenty of FREE FB chatbots templates. Here’s an example https://templates.botstar.com/. In reality, it will be required to customize such a template a little, so that’s why the minimum price for a chatbot is about 200 bucks.  More complexity comes when the bot for WhatsApp or SMS is required to be built. It means that there are no UI controls and additional effort will be required to train the bot and fix all possible flows of the conversation. Such bots are starting from around $1000 USD.

The next point that has to be considered is the complexity of the conversation. That relates to  a) the number of branches in the conversation tree as well as b) the number of questions that have to be addressed by the chatbot (in case of FAQ chatbot) and c) the need to support the unstructured dialog with the end user. Training the bot to support several hundred FAQs will require an additional thousand USD. Free based conversations will also add about 500 USD to the price list. While structured conversations will not impact the chatbot cost significantly. Some bots could have a specific task related to the use of Artificial Intelligence. We’ve had requests to understand dreams and automate confession. That’s a separate task which requires corresponding data sets and the training of machine learning models. It’s hard to estimate the price here, but that kind of bot will cost from $10k USD and more. On the other hand, the bot could be made more intelligent while enriching with sentiment analysis, which does not require being built from scratch and is available via API (that is an additional 500 for projects)

Bots are rarely working in isolation, so in most of cases, integration with back-end systems is required. Typically, chatbots are integrated with a CRM, ticketing, live agent solutions or some other business specific solution. You would need to account for $1k-2k USD for each such integration.

Bots are very language sensitive, everything is pretty much in English. It’s widely supported by all the vendors. It’s also fine with the major European languages such as French, German and Spanish. But what about others, and even non-European languages? That’s a more complicated story. If one of the trusted providers has the support of your language, then it makes sense to invest in custom bot development. Otherwise, I would not even recommend doing that if your bot requires any bit of an AI component.

 

I would also recommend that you look at my blogpost related to the total cost of ownership for a chatbot solution and the criteria for selecting a chatbot development provider.  

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Top 7 AI Chatbot Development and Management Online Courses of 2019

Since 2016 to now chatbots have been all the rage!

More and more people dive into chatbot project running and development. Chatbots have proven valuable for business increases the market of chatbot developers. A lot of assistants appear to make the process of development easier and faster: tools, building platforms and … even coaches who want to guide you.

Don’t know how to start learning?  

Read the course descriptions in the list below and find the right one that fits your project needs and programming language.

Wait. How did I select the right course?

  • First of all, I paid a lot of attention to the courses that are placed on the top of Google Search (used chatbot courses keywords)
  • Audience rating should have at least 4.5 to 5 stars. I didn’t pay attention to the courses with a low grade.
  • I placed free and paid courses into different lists.
  • Newest. I didn’t put on the list old and irrelevant courses.

For whom these courses are:

  • Business owners
  • Startup stars
  • Project and Product Managers
  • Sales Representatives
  • Business Development Managers
  • Team leaders

And anyone running an AI project or looking for a solution to automate their business and derive value.

Drumroll please… … ….

Here are the courses!

Free Online Chatbot Development And Management Courses

How to Build Chatbots and Make Money – in this course you’ll learn how to build chatbots using IBM Watson and then how to get value from your chatbot. In the course are covered methods for testing, analyzing and improving chatbots. By the end, you’ll learn how to deploy your chatbots to websites via a handy WordPress plugin.

AI Project Management Methodology – this course is not about development or selling chatbots. It’s accurately about MANAGEMENT and RUNNING AI projects The speaker talks about 5 projects stages according to MSF (Envisioning, Planning, Development, Deploying and Stabilization) and it’s activities per each of them. The value of the course is the unique insights about new roles only in the projects with Artificial Intelligence.

Building Chatbots in Pythonduring this course you’ll get the basic knowledge on how to build conversational bots using rule-based systems as well as machine learning. The main purpose of the course is to turn human language into machine instruction.

Building AI Powered Chatbots Without Programming –  the main course goal is to teach you not requiring any code and learn how to visually create chatbots with Watson Assistant and how to deploy them on your own website through a WordPress plugin.

Free and paid course available.

Paid Online Chatbot Development Courses

Create a Chatbot for Facebook Messenger with Laravel and PHP – during the course students will learn how to build a chatbot called, “Twitter Trending Chatbot” which returns currently trending topics for a location the user targets. The teacher will help you build it using the PHP framework Lavarel.

Cost 11,99

ChatBots: How to Make a Facebook Messenger Chat Bot in 1hr – during the course students gain the knowledge on how to develop two bots for Facebook Messenger: a parrot bot and a bot for your favorite football team. The speakers teach you how to build a bot in two ways: coding -in the coding section, you will be making a Parrot Bot in Node.js using our sample code; without coding: you’ll build a Bot for your Favorite Football Team without any coding.

Cost 11,99

Build Incredible Chatbots – in this course you’ll go from zero to hero as we build multiple chatbots using a few technologies that include Chatfuel, Wit and DialogFlow for a multitude of channels such as Facebook Messenger, WhatsApp, Slack and Skype. You’ll get the knowledge of building a chatbot without coding all the way through to a code intensive chatbot that can be built for specialized scenarios.

Cost 11,99

The Artificial Intelligence project differs from traditional IT and business projects. If you’re running AI chatbot project and expect to build amazing product starting from, “I have an idea” to “I guess this is what clients buy”, you definitely need to set appropriate expectations regarding projects of this nature. Start from, “I have an idea” to “Guess it’s the product that my clients need!” with the right skills and knowledge of how to build it.  Learn it by the second course – the most valuable in its niche – AI Project Management Methodology.

 

All the aforementioned courses are the author’s choice based on the criteria laid out. If you have feedback or comments on the post, feel free to write us in the Contact Form.

 

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Igor Luzhanskiy Was Interviewed by GoodFirms Team

Igor Luzhanskiy, the co-founder at Chatbots.Studio was interviewed by the team of GoodFirms taking into consideration the ala grand services the firm has provided since inception. Mr. Igor talks about so many unknown things related to his company and their approach while sharing some secrets to success. Here we go.

Introducing his digital conversation platform Chatbots.Studio, Mr. Igor sheds light on the main specialization of the firm which is chatbot development. The firm is based in Ukraine with offices in the Netherlands and Canada. They have catered to various distinctive industries including finance, insurance, e-commerce, and telecommunications. Their bots provide aid in communication to various social media platforms. Coming to the role Mr. Igor plays, he says that along with being the co-founder, he heads the sales and marketing department at his firm.

It is easy to conceive an innovative idea in this generation of constant change but what catches everyone’s eyes and heart is the approach taken towards an innovative execution. And, Chatbots.Studio does that. Coming to life with an idea to make businesses automated, Mr. Igor Luzhanskiy shares the journey of Chatbots.Studio that has successfully delivered a tremendous amount of value to business owners in the automation sector.

Sharing about the business model they employ, he shares that they firmly believe in an in-house team to lead a successful company. The firm today has around 25 employees working under the name of Chatbots.Studios. What differentiates them from the other top bot development companies is their high regard and understanding of the obligations of their customers. One important quality that demands applaud is their continuous feedback check and stats comparison. This has proven that the firm stands triumphant in increasing the revenue of the company and even encourages Chatbots. Studios to work harder for more.

In this intuitive talk, Mr. Igor shares deep insights into multiple aspects they take into consideration. Parameters to be taken under consideration while software development is one of them. The inspiring Mr. Igor brings to the knowledge of various factors that determine the duration of chatbot development. He focuses on the list of languages that the chatbots support and need to have AI. What he adds with sharpened views is the integration with backend systems and the complexity of the manual conversation. GoodFirms having been impressed with this deep level of penetration has even ranked Chatbots.Studio among the top software development companies in Ukraine.

In addition to the services the firm provides, the conversation also moves forward to the company’s methods of deciding the costs for projects, the languages and frameworks they suggest, their billing structure which favors both clients and them and even their working time frame for developing front end and back end of their projects. To get deep insights into it, have a quick read of the full Interview of Mr. Igor Luzhanskiy, the co-founder at Chatbots.Studio with GoodFirms.

 

About GoodFirms

Washington, D.C. based GoodFirms is a maverick B2B research and reviews firm that aligns its efforts in finding the top Software development and Bot development companies delivering unparalleled services to its clients. GoodFirms’ extensive research process ranks the companies, boosts their online reputation and helps service seekers pick the right technology partner that meets their business needs.

About the Author

Anna Stark is presently working as a Content Writer with GoodFirms – Washington D.C. based B2B Research Company, which bridges the gap between service seekers and service providers. Anna’s current role lingers her to shape every company’s performance and key attributes into words. She firmly believes in the magic of words and equips new strategies that work, always in with ideas, something new to carve, and something original to decorate the firm’s identity.

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Chatbots in 2019: Enterprise Trends and Typical Scenarios!

One of the leading chatbot trends in 2019, is the implementation of virtual assistants for internal usage by enterprises. We envision this trend being ever more powerful during this year and the next. Let’s have a look at some typical cases and scenarios where virtual assistants could be useful for internal purposes.

The first and most commonly known cases are the automation of various employee self-service functions:

  • ordering / approving vacations
  • requesting access rights
  • getting the payment bill details
  • reporting business trip expenses
  • requesting business cards and etc.

 

The key value driver is saving employee time away from non-productive operations. That value could be even more increased in the case of employees out of the corporate network joining by a chatbot. We have seen examples when metallurgical holding, where 70% of employees do not have access to an Active Directory (mainly workers on the production floor) gained access to employee self-service via a chatbot. This leads to enormous (about 20% ) cost reduction as an HR support function, so employees started to address their questions via a centralized chatbot solution.

Chatbots are much loved by those corporate IT toiling away with the code. IT guys want to automate the resolution of IT requests and instead of registering tickets and directing them to the right  second line support teams are applying bots to handle standard requests and provide helpful self-service.

This new and powerful trend is the usage of a chatbot as corporate media. Imagine a company with ten thousand employees, where not all of them are using the PC in the workplace – how will you deliver the corporate news? Intranet portal, paper, maybe old school newspaper? A Bot in the telegram or Viber or Facebook could be a viable solution. The internal communication department could gain a powerful tool to deliver their messages quickly and at near zero cost.

Chatbots are also getting as popular as corporate virtual assistants, which provide access to relevant information inside the company, helping to manage the knowledge, find answers and experts in the large corporate space.

The examples above are focused on serving the internal needs of an organization, while we at Chatbots.Studio believes that most of the value of enterprise chatbots is created by serving the customers.

Chatbots are regularly used by our customers to get orders, be notified about new requests and the need to visit with a client, complete checklists and surveys after the customer visit and so much more. Almost everything automated by internal mobile apps could be handled via in-messenger assistants at a significantly lower cost, with the same tangible business benefits, such as improved employee efficiency (orders are taken per employee), reduced stocks, faster order processing, and higher NPS scores.

 

If you want to build the chatbot for your business, feel free to contact us and get the valuable offer.

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Meetup: Tips For Junior Who Are Looking For The Job

4th March will be the first lecture, “Tips for candidates” for college students in IT Step University by Chatbots.Studio/

Let’s talk about the requirements for a Junior candidate who is looking for a job in IT. 

Speaker – Igor Luzhanskiy – Chatbots.Studio Co-founder. The company is an innovative technology team that delivers excellence in conversational platforms and chatbot development in retail, insurance, medicine, finance, enterprise, etc. 

Chatbots.Studio – is the top global leader in chatbot development, according to Clutch.co. We have been working in business process automation since 2016. We build AI conversational platforms and chatbots for Facebook Messenger, Slack, Viber, Slack, Skype, and more. 

Besides the development, team they also working on sharing knowledge and education in AI and chatbots. Check out their book “How to Efficiently Run AI Project Development” on the website popup and two online courses AI Project Management and AI Project Development

During the lecture, the speaker will provide info regarding an upcoming internship and requirements to be on their team. 

Check-in here to get free access to the lecture. 

 

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6 Types for Chatbots: Know Which One Brings Value to Your Business

In 2019, chatbots have a variety of capabilities and more than just one type just might be suitable for you.

It’s good practice to define what is the role of your bot, measure the value and compare it with existing services before the chatbot launches in the business. If the chatbot could solve the issues, set up better customer engagement or improve internal communication. It’s the right decision to begin its development.

We identified 6 possible business roles for a chatbot, depending on which function they serve:

  • Sales
  • Lead generator
  • Interface
  • Informant
  • Helper
  • Psychologist

As mentioned above, each bot could take on several business roles, so we are using this classification just to create a common language and definitions of chatbot practitioners.

A chatbot increases sales and cross-selling

Sales Chatbot is responsible for increasing sales. It has several ways of functioning. The chatbot could choose the right service or good, create the invoice, make a payment (need to be connected to appropriate API), track orders, push notification about payment status, and conduct cross-selling. Sounds kind of like this chatbot could help to grow your biz, eh?

A chatbot generates leads for your CRM system

The main purpose of this chatbot is to gather together the target audience in one channel and convert them all into the clients. It could work in combination with an informant role, for example. How does the chatbot behave? The chatbots can provide the following services: make an appointment, creating a loyalty card (discounts, special offers, coupons, promo codes, and more).

On the vendor side, the chatbot gathers all the appropriate information useful for creating advertising campaigns or special offers. Also, the chatbot can maintain the communities with content to keep a particular audience interested in the services.

A chatbot acts as an interface for engagement with clients

Chatbot interface gives access to other system functions. It accepts and processes the information, integrates with the company services through the API and passes a long the collected information.

If needs be, the chatbot authorizes the user by itself. Following engagement with the website services, the chatbot distributes the processed results.

A chatbot informs the customer of the available services

Informant makes the data search quickly and easily. The Chatbot could aggregate information from different sources and conduct push notifications to the user about changes in the interested services. It’s one of the most attractive options for your business.

A chatbot helps the customer

The Informant makes a data search quick and easy. The Chatbot could aggregate information from different sources and conduct push notifications to the user about changes in the interested services.

A chatbot acts as a psychologist

A Psychologist chatbot’s main value is a conversation with the user. It recognizes the user’s mood, problem and offers methods (probably yours) to avoid the stress, suicide, offers appropriate specialist, and play as a lead generator – bringing a new client to a psychologist.

Experience shows,  the right chatbot is one of the main values you can offer your clients, making them satisfied, so you get a chance to make a quick profit.

 

If you have doubts as to choosing the right chatbot, check out its possibilities in a variety of industries (click button “I don’t know what kind of bot you need”).

If you want to have a full list of chatbot values, customized for your business, contact us and we will describe all the ways on how to bring value with a chatbot!

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