Developing and maintaining a chatbot is, of course, a time, effort and money draining job. Yet, compelling businesses, new and established, to try their luck at this amazingly humane and disruptive technology?

As businesses strive to ensure that customers have access to the relevant information at all times, at any place, and on any given day, the integration of conversational chatbots into corporate platforms or websites appears to be unavoidable.

• According to Markets and Markets estimate, the NLP industry is said to expand from $10.2 billion in 2019 to $26.4 billion in 2024, representing a 21% CAGR.
• The same research also predicted the increase of the conversational AI industry from $4.2 billion in 2019 to $15.7 billion in 2024, with a CAGR of 30.2%, which is higher than the whole NLP market.
• As per IBM, chatbots can help businesses save on customer service costs by improving and speeding up response time, providing agents more time for other challenging work, and answering up to almost 80% of routine questions.
• Some reports by Outgrow state that 80% of businesses are projected to integrate some form of chatbot system by 2021.
• Chatbots have grown in popularity to the point where the number of chatbots on Facebook Messenger has expanded from 100K to 300K in just one year.
  
• Chatbot integration in business platforms or websites is inevitable, as today companies are trying to ensure access to the right information to the customers—anytime, anywhere, any day.
  
• Many popular corporate business brands, such as MasterCard, have also quickly developed their own chatbots. Chatbots are impacting the corporate world in the most surprising and exciting ways, from American Express’s customer service to Google Pixel’s call screening software, granting quick response and 24/7 availability while serving the customers.

But, before we get into how your company might benefit from a deep learning chatbot, let’s have a quick glance at what a deep learning chatbot is? 

Deep learning chatbot is a form of chatbot that uses natural language processing (NLP) to map user input to an intent, with the goal of classifying the message for a prepared response. The trick is to make it look as real as possible by acing chatbot development with NLP.

Based on the sophisticated deep learning and natural language understanding, a chatbot is an intelligent piece of AI-powered software that enables robots to process, comprehend and respond through Natural Language Understanding (NLU).

Modern NLP (natural Language Processing)-enabled chatbots are no longer distinguishable from humans. And thanks to the incorporation of NLP into chatbot software, our daily lives and businesses can be substantially facilitated or made easy as the chatbots are now able to recognize the exact intent of the users, just like humans can interpret each other’s language.

While pursuing chatbot development using NLP, your goal should be to create one that requires little or no human interaction. There are two ways to accomplish this. 

• The first way is suggestions from AI. Here the customer care staff receives suggestions from AI (upon data collection and interpretation) to improve customer service procedures. 
• The second is the NLP technique for chatbot that uses deep learning to handle all of the discussions and eliminates the need for a customer service representative.

Concept of An Intent While Building A Chatbot

The intention of a user interacting with a chatbot, or the intention behind each message received by the chatbot from a specific user, is referred to as “intent.” 

These intents may differ from one chatbot solution to the next, depending on the domain in which you are designing a chatbot solution. 

Hence it is extremely crucial to get the right intentions for your chatbot with relevance to the domain that you have developed it for, which will also decide the cost of chatbot development with deep NLP. 

For example, the voice-enabled chatbot of a travel company will respond to a related set phrases like travel recommendations for a particular city or authentic food options for a particular town or what and where to shop for local handicrafts etc. 

So, why is it necessary to define these intentions? 

Intent is an extremely important aspect to grasp. Your chatbot must be able to understand what the users say or want to do in order to answer queries, search from a domain knowledge base, and conduct numerous other actions in order to continue dialogues with the user. 

As a result, your chatbot must be able to identify the user’s intent from their messages.

How can you make your chatbot understand intents so that it understands what  people want and responds appropriately? 

To become a part of your customer’s choice, it is important for you and your organization to shape the future with bots.The strategy here is to integrate your chatbot development with deep NLP for most accurate intent recognition and production of appropriate responses.

Now it’s time to delve deeper into the inner workings of today’s sophisticated chatbots using NLP. Let’s have a read in the next section regarding how NLP Chatbot is built?

How to Build an NLP Chatbot?

Tokenizing, normalising, identifying entities, dependency parsing, and generation are the five primary stages required for the NLP chatbot to read, interpret, understand, create, and send a response. 

Let’s look more closely at how NLP works in chatbots.

1. Business Logic Analysis 

This stage is necessary so that the development team can comprehend our client’s requirements. A team must conduct a discovery phase, examine the competitive market, define the essential features for your future chatbot, and then construct the business logic of your future product.

2. Channel and Technology Stack 

It is preferable to use the Twilio platform as a basic channel if you want to build NLP chatbot. Telegram, Viber, or Hangouts, on the other hand, are the best channels to use for constructing text chatbots. 

The most prominent and widely used technologies for chatbot development with deep NLP tools are:

• Python – A programming language for creating the NLP architecture of your chatbot.
• Pandas – For data processing and analysis for the chatbot, a software library is built using Pandas for the Python programming language. 
• Twilio – Software developers can use its web service APIs to programmatically make and receive phone calls, send and receive text messages, and perform other communication tasks for your chatbot.
• TensorFlow – A library that is frequently used for tasks involving machine learning and neural networks to help your chatbot interpret intentions better.
• SpaCy – A sophisticated natural language processing open-source software library, SpaCy clarifies the user intent with a more comprehensive language library.
• Telegram, Viber, or Hangouts APIs – To integrate a NLP based chatbot with your messaging apps or websites.

3. Development & NLP Integration

The building of a client-side bot and connecting it to the provider’s API are the first two phases in creating a machine learning chatbot. 

Once the work is complete, you may integrate AI with NLP which helps the chatbot in expanding its knowledge through each and every interaction with a human. For this, you can approach an AI chatbot development company. 

• Tokenizing: The chatbot development begins by breaking up text into small chunks (known as “tokens”) and deleting punctuation.
• Normalizing: The bot then searches the text for common misspellings, slang, or typos and transforms them to the “normal” version.
• Recognizing Entities: After all of the words have been normalised, the chatbot attempts to determine what is being said. It would recognise North America as a region, 67% as a proportion, and Google as a firm, for example.
• Dependency Parsing: The bot then divides the sentence into nouns, verbs, objects, punctuation, and common phrases in the next step.
• Generation: Finally, the chatbot develops a number of responses based on the data gathered in the previous phases and chooses the most appropriate one to send to the user.

4. Testing

In the testing phase, we start asking the questions that we taught the chatbot using NLP to answer once it’s ready. We can utilise manual testing to make sure that the chatbot gathers more data and provides appropriate response. 

Testing can assist you figure out if your AI NLP tools for chatbot development process is at par. 

A chatbot powered by artificial intelligence can help you attract more users, save time, and improve the status of your website. As a result, the more people that visit your website, the more money you’ll make.

Businesses all over the world are turning to bots to reduce customer service costs and deliver round-the-clock customer service. Chatbots are powered by very conventional technology. NLP has a long way to go, but it already holds a lot of promise for chatbots in their current condition.

Concluding Thoughts

The field of chatbots continues to be tough in terms of how to improve answers and selecting the best model that generates the most relevant answer based on the question, among other things.

One of the most striking aspects of intelligent chatbots is that with each encounter, they become smarter. Machine learning chatbots, on the other hand, are still in primary school and should be closely controlled at the beginning. NLP is prone to prejudice and inaccuracy, and it can learn to talk in an objectionable way.

You’re ready to develop and release your new chatbot mastermind into the world now that you know how NLP, machine learning, and chatbots function. It’s finally time to allow the chatbot development service of a trustworthy chatbot app development company to help you serve as a friendly and knowledgeable representative at the front of your customer service team. 

If you’re interested in building chatbots, then you’ll find that there are a variety of powerful chatbot development platforms, frameworks, and tools available. 

Thus, rather than adopting a bot development framework or another platform, why not hire a chatbot development company to help you build a basic, intelligent chatbot using deep learning. 

It’s time to automate and streamline your customer service with the most agile platform for developing NLP for chatbot through the best, most compatible and high-end chatbot app development company in USA, as well as other regions.

The post How to Build A Chatbot with Deep NLP? appeared first on Appinventiv.

The fact that chatbots are equally famous among baby boomers and millennials, increases the user base of the technology to a great extent.

Observing the business benefits and the flourishing market size, there are a number of businesses that are looking forward to building chatbots using deep NLP and launching it for their own app and for others to use.

In this article, we will be looking at how much it costs to build a chatbot and everything surrounding the transformative technology.

But before we get into cost benefit analysis of chatbot part, let us first look into what the flourishing chatbot market looks like.

Chatbot Market

Within the past one decade, chatbots have witnessed an unprecedented demand from a number of industries around the globe, including logistics and on-demand. What was earlier restricted to only eCommerce has now shifted to a number of other domains ever since the advent of mobile apps. All this has been the doing of growing inclusion of growing level AI in customer experience.

{Also read our descriptive guide on ‘Logistics App Development Cost’} 

By the time we reach 2024, the market size of Chatbots would have increased to $1.34 Billion – a number that is driven by the inception of disruptive technologies like Machine Learning and Artificial Intelligence in the chatbot mechanism.

From the simplistic rules specific chatbots developed to manage uncomplicated queries to cloud-based self-learning bots that are designed to understand the user intent and automatically modify the output, chatbots, no matter how learned or simple are being used extensively in fields like eCommerce, Healthcare, etc. via business data integration.

The fact that chatbots have proved themselves to be this useful in the world, has prepared them to contribute $1250 million by 2025.

Seeing the market share that chatbots hold, one thing is clear – Chatbots are going to be a very prominent part of businesses across industries. And why not, after all, the business benefits that they have to offer are unmatched and unparalleled.

Talking of business benefits of Chatbots, let us look at what they are before we move on to the chatbot development cost.

Business Benefits of Chatbots

It is invalid to ask the question ‘How much does it cost to build a chatbot’ until you are convinced that they are needed.

Besides the obvious benefit of making your business a 24*7 business, Chatbots, no matter how much you pay in the name of chatbot development life cycle, come with a number of advantages that are known to lower the cost of business operation, which tend to unnecessarily tend to close the gap between gain and loss numbers in the balance sheet. All aimed at changing your business growth story.

Here’s what they are:

A report by Juniper Research validates that the cost of building a chatbot is going to be a much smaller amount in front of the costs that chatbots are all set to cut down – $8 Billion on a yearly basis  – by the time we reach 2022.

Let’s see how:-

Lowered operational cost

The biggest operational cost in businesses is around the number of incoming calls. By giving the visitors answers to what they are looking for, chatbots are able to save on the cost associated with the increasing call volumes and in fact the whole interaction volume.

In addition to this, when users call businesses after having the preliminary level of interaction with a chatbot, the time of customer care executive that would go behind answering the first level interaction gets lowered to a huge extent.

Cut down labor expense

In a report, McKinsey estimated that around 29% of customer service position in the US can get automated via a properly designed chatbot. The fact that chatbots can interact with multiple people at the same time, hints at a time where the customer engagement industry would be dominated by chatbots.

In addition to this, businesses who have employed chatbot in their customer service program know how chatbot implementation costs much lower than the annual salary of an employee while doing twice their work.

Cost effective 24*7 availability

The modern-day customers expect businesses to be available 24*7 to answer their queries at all hours. The fact that a number of businesses are still not able to function on a 24*7 mode has not just made them lose on to prospective sales but also has affected customer loyalty to a great extent.

But when you employ a chatbot that has been designed to answer to the customer requirement in the off hours when your customer rep is not available, you make them more receptive towards your business, altering your brand image 180 degrees.

Better resource allocation

When the customer representative doesn’t have a list of customers to attend to and knows that even in their absence their customers will be handled with equal attentiveness through a chatbot, they are able to concentrate on devising strategies on keeping the users hooked and finding ways to help chatbot close more leads.

This way, chatbots prevent sales reps from falling into the cycle of mundane work and monotonous job cycle, giving them the opportunity to keep learning.

Greater revenue

There are a number of businesses that have been using Chatbots for lead conversion and greater sales. Through chatbots, you can keep alerting your customers of the discount opportunities and increase the engagement and upsell count.

Along with making a business a sales conversion magnet, chatbots help create a strong brand awareness when integrated with social media messenger platforms.

Increased customer engagement

It’s vital to keep your clients involved with your brand. As indicated by companies, organizations that involve with their customers through social media were able to increase the user spend by 20% to 40%. While social media is doing its work, chatbots can contribute by making customer engagement interactive and easy.

Monitoring consumer data & gaining insights

As you already know that chatbots are great devices and tools to chat with customers. With the input they gather through basic inquiries, you can make improvements on your administrations/products and even upgrade your website by adjusting low converting pages. For instance, if your landing page creates a decent measure of organic traffic but doesn’t convert well, your chatbot can contact customers visiting the page with a study to gather more data on why they are leaving the page without buying or making action and so forth.

The chatbot benefits are equal among all the different types of bots. No matter what type your chatbot gets categorized the benefits mentioned above will hold true for them all.

Speaking of types, let us look at the different Chatbot types that are most commonly employed by businesses across the world.

Type of chatbots

When we look into the types of chatbots, we have to look at both – the Superset and the Subset wise demarcation of Chatbot development type, having elements that goes into interactive chatbot development.

The supersets

There are two categories of chatbots that you can invest in.

1. Bots Implemented in Own App – These chatbots work inside a mobile app which performs a specific function for the sake of automating the interaction happening between the app and the user.
2. Bots which Function Within Messenger – These chatbots stay in messengers which support bot interaction. These work best for businesses that do not have a standalone app or wish to keep social media at the center of the business model.

The Subsets

Within the prime categories of the chatbot mentioned above, there are a number of chatbot types that you can get made –

1. FAQ chatbot – A basic QnA or FAQ Bot provides its users with automated responses to frequently asked questions in a natural, intuitive question-and-answer conversational style.
2. Conversational chatbot – The chatbot type uses language understanding services to have easy flowing conversations with the end users. They are usually made to A. collect the basic information about the users and B. keep them engaged till a human customer care executive is online.
3. Transactional chatbot – These are the chatbots that help the app users to inquire into and buy something off the app without ever talking to a human customer care representative.
4. Predictive Chatbot – These chatbots are the most advanced ones in the market at this time. They are developed and designed on a case by case scenario. By incorporating heavy machine learning in them, businesses use predictive chatbots to analyze how users might react next.

Irrespective of what type your chatbot belongs to, the elements that go into it are all the same. Something we will be attending to, next.

MVP Chatbot Features

Conversation

Conversation, one of the primary needs and features of chatbot should be based on a fundamental principle. In the basic principle, the request for messages ought to be logical and comprehensive for each customer. For example, when a customer asks about the contact number of your organization, the chatbot should tell the user just a number. If it informs about the address, it implies that the entire rationale is broken.

What’s more is that, ensure that your chatbot doesn’t commit grammatical errors and follows the overall pace of the discussion. Keep an official discussion tone in case you’re focusing on business people. If the task is somewhat hard for you, it’s smarter to hire a freelancer to produce content for the messages.

Payment system

This feature suits e-commerce chatbots. If your bot’s main goal is to boost sales and create new distribution channels, you should take care of at least one payment method. This is the point for you to choose between the third-party system or a custom payment solution.

A well-designed payment system eases the flow of the payment security and allows to analyze the payment and customer behavior. What’s more is that you don’t need to stress over expenses that are generally charged by third-party systems. Regardless of advantages, the expense of a custom payment framework is excessively high. That is the reason why most of the small organizations execute services such as PayPal, Braintree, Stripe, and others.

Geolocation

Online mapping is another helpful feature for a chatbot to attract new customers by pinpointing the area of your business on the map. For instance, users can request the bot to help them navigate to the restaurant or street they’ve never been to. Google Maps Platform permits you to make this feature with zero effort. All things considered, it draws customers to visit your place.

If we take an example of food delivery, then this feature is the best. All that your users need to do is to place an order using the chatbot, make payment through an integrated payment gateway, share the location with the delivery personnel, and enjoy the food after arrival.

Personal touch

The personal touch is more about the personality and character than the technologies. Mentioning users by their name rather than pronouns, elevates their feelings and emotions. The personal mentality to every customer ensures increased brand loyalty and positive input about your chatbot.

To make a remarkable and unique chatbot, you can utilize the knowledge of a brand expert. In case you’re on a tight budget, you can always bring into play your imagination and creativity.

Account synchronization

The first use case of account synchronization that rings a bell is redeeming rewards. If there is a promo system, then the users have some awards or bonuses from the past purchases, which users can spend during further purchase. Nonetheless, if the chatbot isn’t synchronized with the website, it doesn’t display the rewards. Thus, you need to ensure that your platforms have a typical database that continually shares data with one another.

A synchronized record permits you to carry out efficient marketing campaigns. Whenever there’s a discount or sale on a product from the customer’s wish list, the chatbot sends a warning about it. This methodology is more successful than promotional e-mails and messages.

The Composition Required to Build a Chatbot

There are a number of components and chatbot design strategies that come together to develop a chatbot that goes on to revolutionize the customer experience that a business offers, all coming as an addition in the breakdown of chatbot pricing models.

Before acquiring the knowledge of building a chatbot, let’s have a look at the image that describes the working of it.

As a business who is looking to partner with an agency that excels in chatbot development services, you should look at their approach in the context of all these components before making any decision.

Backend

Chatbots need a backend to manage messages coming in from different channels and to process them with NLP offerings like Api.ai, LUIS, or Wit.ai. The backend also holds business logic and integration within the current systems and is used to develop conversational intelligence on the basis of which conversation happens with the end users.

Channels

After your backend is set up, you will have to create the endpoints for the integration with every specific channel. While every single channel integration is different, they mostly follow the same method of endpoint set up in the backend for the purpose of sending and getting messages which rely on the access token authorization. Also, you will have to implement the channel-specific user interface in places like quick reply, visual cards which guide users during a conversation.

NLP

The moment you receive messages from a specific channel, you are going to use NLP services like Luis, Api.ai, and Wit.ai for extracting the entities and intents out of the user message. While the set up of NLP service and processing of messages with the help of SDK is pretty direct, training the NLP entities and entities which might be present in an external system is not an easy task. You will have to understand the entities which map to specific objects which exist in systems like Contacts, Products, or Employees.You will also have to implement business logic validation on the extracted data which can range from simple validation to custom.

Conversational intelligence

This is the most complicated component of the whole chatbot development process. You will have to design intelligent conversations on the basis of NLP entities and intents – something that is not easy.To achieve a stage where you build an intelligent chatbot, you will have to create an algorithm for every single conversation and navigation so that users can start from scratch. You will have to make use of decision trees, slot based algos, state workflows, or other deep learning methodologies for controlling the conversation.

Integration

Because of prime purpose of your chatbot is the execution of processes like booking appointments, buying products, ordering items, etc. you will have to integrate the chatbot in an existing mobile application. Integration here will involve factors like business logic rules and validations, the persistence of data which would be required as a part of the business process.

Now that we have looked at the different components that come together to make a chatbot, it is time to attend to the things that matter to you on a more intricate level – the time it would take to develop a chatbot and the cost of chatbot development, in accordance with the different metrics that chatbots are evaluated on.

The time it takes to develop a Chatbot from scratch

A very important part of the whole chatbot app development process for businesses and an answer to the cost of chatbot development is knowing how much time it is going to take for chatbot app development company to develop them so that they get a rough idea of when to start witnessing unprecedented customer satisfaction graphs.

Well, here’s an answer to the hours it would take to develop a bot, something that will have a direct impact on your chatbot cost –

Integration with an app – the duration of it depends on the chatbot complexity, but usually it takes up 40-56 hours. Development of communication interface

• Command language user interpreter takes up somewhere around 40-56 hours.
• Natural language user interface takes somewhere around 120-160 hours.

Business logic

• Adaptation of an existing business logic, takes up 120-160 hours, depending on the amount of logic.
• Development of business logic from scratch takes around 160-192 hours.

Since you now know the approximate hours it would take to attend to different parts of chatbot development, it is time to translate those hours into the cost of chatbot development.

Decreasing the Chatbot development Cost

There are a number of aspects that increase the price of chatbot development. But there are also the option to stabilize the financial impact like the chatbot development tools that save time for developers and decrease the eventual final cost.

Third-party platforms

Developing a chatbot from the scratch without any preparation is quite expensive. Thus, to solve this people generally use third party platforms. With the assistance of these popular platforms, you can make a chatbot with less efforts and time.

Despite the fact that these platforms guarantee rapid development, they also provide flexibility and adaptability which lets the developer use them often.

Some of the common and popular chatbot platforms are:

Chatfuel

Botsify

Dialogflow

BotPress

Mobile Monkey

How Much Does It Cost To Develop a Chatbot? – The Exact Chatbot Development Cost

Now that we have seen all – The market of chatbots, benefits that they have to offer, types of chatbots that are presently ruling the world, and the components that come together to develop them along with the time it takes to develop chatbots, it is now time to look at how much it is going to cost you.

Seeing the work that goes into developing a chatbot, the approximate chatbot cost that comes for development of your bot is in the range of $25,000 to $30,000.The cost range includes the design, development, and integration part of the whole chatbot development framework.

With this, we have now seen all – the benefits of chatbots, features and components that helps to devise a well-structured chatbot, the market size, the type and the cost you will have to pay to get your chatbot developed, the only thing left for you to do here is to get in touch with our chatbot developers and avail the best chatbot app development company in USA.

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Now being a part of a company that specializes in Chatbot App Development, my interaction with the technology is much greater than what my mum has (Who, by the way, got very excited after being a little skeptical).

The reason behind her skepticism yet attraction towards the technology is similar to companies, who have now incorporated Chatbots in their service plan, once had.

Chatbot development is now no more a new concept for the world. Today, almost all the companies belonging to the Service and various other industries, having analyzed the pros and cons of chatbots, are invested in the interactive and highly profitable mechanism. The chatbot development using NLP has opened a whole new realm of customer engagement for businesses across all domains.

Naturally, what was a rising trend in 2017, Chatbots are now going to be mainstream in 2019 and beyond.

What is a Chatbot, Really?

Chatbot or Chatterbot is a computer program, which simulates human conversation through the text chats or voice commands or at times, both.
Through Chatbot application development, the software can either be incorporated in your existing application or it can also act as a standalone app like Siri.

With the definition out in the open, let us first look at the Chatbot App Development Market before moving on the industries that have successfully make them a part of their business and the working of the in high demand technology.

Chatbot App Development Market Forecast

You’ll see nothing but growth when you sit down to do Chatbot Market Analysis. Something that was validated by Grand View Research in their recent report.

Here are the key findings from the report:

• The international Chatbot market is anticipated to reach upto USD 1.25 billion by 2025, witnessing a growth of CAGR of 24.3%
• Bots find numerous applications in healthcare, e-commerce, and BFSI sectors. Large enterprise have emerged as the biggest end-user segment in the year 2016 and has been estimated to register an average CAGR of 24.2% by 2025.
• The chatbots in the marketing domain are expected to see the biggest growth between 2017 and 2025 as these directly connects the users to their service providers.
• The Asia Pacific zone is expected to witness a substantial growth in the next decade because of the technological developments around prime economies. The local market is also expected to grow at CAGR of 24.7 % from the years 2017 to 2025.
• The main participants in the Bot industry consist of Poncho, WeChat, Baidu, Kik, Babylon Health, Varo Money Inc., SRI International, and ReplyYes. They have found extensive applications in the large enterprises for they enable a better understanding of the consumer behavior with the adaptation of machine learning.

The reasons behind this surging demand for Chatbot development can be directly linked to its widespread uses in a few of the most once-traditional industries, driven by the perks that come entailed with a well-planned chatbot design strategy.

Messaging apps had already revolutionized industries by bringing them on the world’s fingertips, years ago. By becoming available on just a text distance, messaging apps solved one of the biggest issues faced by the customers and the brands: timely response.

While, the messaging apps solved a major issue, but it still had its limitations. It was not possible for customer care reps to be available on the text at all hours. A problem that now got solved with the advent of Chatbots.

By incorporating a chatbot mechanism, companies now no more had to worry about not responding to users on time, as they now always got an automated response. Performance wise, well-developed chatbot features now stood on top of all the metrics to evaluate chatbot performance, which also were synonymous to the definition of excellent customer service.

Let us look at the four industries that have already/ on the verge of adopting the chatbot development methodology in their processes:

Industries taking benefit of Chatbot App Development

Education

Beside answering students’ queries and scoring their essays, Chatbot has found itself reminding students to take a lesson or to go through what they studied, again.
By taking over two of the most mundane tasks – grading and making students repeat what they learned, Chatbots are opening up spaces in teachers’ daily task sheet to upgrade the education system, globally.

Customer Service

One of the most evident uses of Chatbots can be seen in the Customer Service industry. Every time you visit a website or app that says ‘Live Chat’, the chances are that the one who would be replying to your query is not a human but a bot developed by chatbot companies. And it’s not just limited to website chats. With apps like Elves, you can now easily order things online, check the status of items you ordered or are out of stock by having a highly interactive chat session with a Chatbot.

Psychological Health

Feeding emotion trigger words in chatbot application development can have customized interaction with the users, proving to be a very empathetic, efficient tool when it comes to handling mental health issues. There are even apps in the market like Nadia, which have personalized interactions depending on your tone of voice and word usage.

Assistance

After customer service, the most on the most on the face example of Chatbot development services is Assistance. Apps like Siri and Google Assistant have been used by the world since a very long time now. Upon being connected with a device’s operating system, these assistance Chatbots perform a series of functions from playing music to calling someone on the user’s behalf and even booking tickets or making a search on Google.

While these are just the four areas whose Chatbot adaptation is openly there, there are many other industries like Banking, Travel, Healthcare, and News & Publishing that are getting in touch with top chatbot development companies to keep up with the trend.

I am sure it would have been established by now for why your brand need to invest in Chatbot development, let’s now look at the basics of Chatbots: Of how they actually work.

How does the Chatbots Application Development Works?

Chatbot development methodology is categorized into two groups according to the functions they serve: 1) those who work on explicit commands and 2) the ones that uses machine learning.

The first type is very simple. Bot is designed to respond to specific/ strict commands, if a user says something otherwise, it won’t be able to understand.

The second category is a lot more advanced. Chatbot app developers use a number of elements to develop interactive chatbots, like – Natural Language Processes and Machine Learning Algorithms, so they understand not just the specific commands, but also human language, as they expand their learning while communicating with the users. In short, they have a brain of their own.

Machine learning

One of the factors that has played a major role behind making chatbots a part of all industries’ future is – Machine Learning technology. It is entirely focused on the creation of programs, which can study and respond to previous experiences and patterns.

Natural Language Processing

To make quality interactions with the users, the bot needs not only to learn how their users interact but also understand them.

Natural language processing is based on various types of machine learning algorithms, which offers language generation and language understanding. It enables users to interact with a virtual bot, not with the help of commands, but as a human.

Since you now know the types of bots available for use, let’s now finally see how to integrate Chatbot development services in your mobile app.

How to Develop a Chatbot Application?

When it comes to chatbot development, a company has two options. A. Use readymade platforms to make your bot on or B. Make it from the scratch using tools.

When using a platform to place your chatbot on, you have a number of options ranging from Slack, Discord, Telegram, Kik, and Facebook Messenger. The limitations in using these platforms are that you can only host your chatbot tools on these and not elsewhere.

To remove this limitation, companies also use chatbot development tools to develop their own chatbots that can be hosted anywhere. For that, there are a number of tools, but these are the chatbot development frameworks that we use – wit.ai, api.ai, textit.in, IBM’s Watson, and coverse.ai.

You are now set to make your customer service game stronger, with your own Chatbot.

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These are only a snippet of thousands of statistics that are all around the internet and lying on a million office reports hinting towards how chatbot app development has turned out to be the best business decision.

Done right, chatbots can single-handedly make your company approachable and open to business even when you sleep. Done wrong, it leaves users unsatisfied and complaining about how your brand is slow in the logic department.

What helps in making a chatbot effective, besides of course passing all your chatbot success worries to a chatbot app development company, is having a right strategy in place.

1. Have a Purpose

Knowing what purpose your chatbot would solve is the first step in designing a working, revenue-generating chatbot design strategy in 2018.

The last thing that you would want is to join the chatbot world just because every business is on it. While it is true that it benefits a range of different industries, it is also true that not all businesses need it, especially the ones that are working only around a particular geographical location i.e. in the same time zone.

But if yours is a business that would benefit immensely with Chatbots, think of the process that you would like to give your bot the autonomy of. The scale of the process that you are looking forward to leaving in the hands of chatbot will help decide which bot type you have to invest in (more on this later).

2. Conversation Flow

The flow in which your chatbot would converse is one of the most important things for your chatbot design guide to cover.

The ideal situation when it comes to deciding how the conversation should flow is that the bot should start with a general salutation followed by asking questions and then pitching the product when the user put in the respective action words like ‘Tell me More’ or ‘Give more information’.

The biggest mistake that businesses make is pitching in the product as soon as the user becomes active on the website or page when they should go with a more human-like conversation flow.

3. Bot Personality

The only way to make your bot more human-like is to give it a personality. Now when I say personality, I am not implying you to create an avatar and anime man. No, when I say personality, I mean giving it a tone, a difference in the US and UK English, slang, and age-appropriate responses.

Now, in the normal scenario, a business doesn’t have a specific exact type of customer base, so would you keep making bots aiming for each of them to meet specific criteria? The answer is obviously No. What you can do is ask your users’ background and change the initial conversation level of the bot.

4. Give Context From the Beginning

Make the purpose of your chatbot clear from the first two messages itself. Aim for a scenario where your user knows exactly what the bot would be helping them with and have no misinterpreted expectations and then a bad customer service instance.

The first two dialogue to and fro should be enough for your user to know what is to be expected from the chatbot. If you miss this step, the chances are that your bot dashboard will get filled with repeated questions and frustrations of not getting answers.

5. Share before Publicizing

So you have developed an amazing bot that converses with masses effortlessly, specializes in giving the users the exact information that they need, which even varies from context to context. What’s next?

And the answer does not make it live on your website or integrate into your mobile app right away. The answer is to first share it with your in-house teams to see if it’s actually able to answer different questions and different contexts.

By sharing it with the team and taking their feedback, you will be able to track exactly how people are reacting to it and what changes would make the conversation more meaningful.

6. Choose your Words Wisely

The most important element of strategic chatbot development according to chatbot design trend 2018 is choosing the words right. Your copywriting technique should be on point to not just entice the users to start the conversation but keep them hooked enough to convert into your site’s loyal customer or subscriber.

Know that your chatbot copy has the power to make your chatbot a conversion magnet and it should be treated just like that – as a mix of emotions and conversion statements.

So, here were the pointers that would help you draft a killer, high revenue generating chatbot design strategy in 2018. The one that would result in a chatbot that people love to converse with and pay to.

[Know how to judge if chatbots are working for your business]

Now that you know what an ideal chatbot should operate like, it is time to look into the three types of chatbots that you should invest in developing once you have your chatbot design guide planned.

The Three Types of Chatbots

1. Menu Based Chatbots

These are one of the most common types of chatbot available in the market today. Using this chatbot, brands give multiple options to the users to select from. These are used mainly when the users are looking for a direct answer.

One of the biggest challenges that businesses face when it comes to menu based chatbots is that the process that users will have to follow to come to the point when they get the desired answer is quite long. They have to click through several buttons and options to come on one point.

2. Keyword Recognition Based Chatbots

These bots utilize the blend of AI and keywords to determine the appropriate response. They lack in performance when they are asked a lot of similar questions with similar sounding keywords, even when the context is different.

 A new set of bots are now present in the market that is hybrid. They automatically switch to the menu based type when they are unable to answer users’ queries through AI.

3. Contextual Chatbots

The most advanced of the chatbot family, these bots remember the interaction and its outcome and keeps growing on it to give better result to the users over time. They work strictly on Machine Learning and Artificial Intelligence to help users come to a decision.

As they are based on ML and AI technologies, they come with a self-learning ability, which helps in not just customer relationship management but also a positive sales conversion rate.

The ultimate decision of which chatbot type to invest in depends entirely on your business need. If yours is a simple Q&A type app where you aim at giving a quick in and out experience to your users, answering their questions to the point, menu-based chatbot app development is what you should go for. But, in case you have an assistant like mobile app idea, then you will lose your pockets a little and invest in Contextual chatbot development.

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Bots are giving banks and financial organizations an edge over the competitors by enhancing customer experience, streamlining their compliance processes and saving money and efforts while doing so. The bots are embarking a new phase of banking – from mobile banking to conversational banking – by offering a myriad of facilities and advantages.

A Glimpse of the Endless Possibilities that Chatbot Offers

1. Ease of Use

Most of the customers get frustrated and leave the banking platform, if asked to fill their details again and again. Chatbots come to their rescue in this context, without compromising on the authenticity and security aspect. The bot interacts with the customer and uses the conversational elements to ensure authenticity. Besides, it let the customers repeat their previous transaction/activities with a single command.

And the best part is that the users need not download or open a particular platform to get perks of the banking services; a bot serves them with the best services while chatting on Facebook messenger or updating their pictures on Instagram.

2. Personalized Banking Services

Thanks to chatbots, standing in endless queues at the bank and doing the paperwork to access banking services is a history now. Today, the users can check their bank balance, get a monthly statement, transfer money, update their details, and perform many such processes using a simple interface via chatbots. They can perform all the account-related activities while sitting on the couch at their home or while commuting to their office.

Besides, they can also view a graphical representation of their spendings and earnings, and even get assistance from the chatbot to take their next financial step wisely. In a nutshell, chatbots have made it possible for the customers to leverage the benefits of different facilities without putting much efforts and time. On the other side, this approach has cut down the workload of the bankers, making the process seamless.

The very best example is Erica, a voice- and text-enabled bot of BofA (Bank of America), which helps customers to make smarter and faster banking decisions. The digital assistant sends personalized notifications, study customer transactions and identify the areas where they could save money, facilitate bill pay service, and much more.

3. Omni-channel Support

With a wide range of communication channels available around, it is quite tricky for the bank and financial institutions to reach their target audience and cater their needs. They find it hard to plan for each communication channel – messaging service, website, app, emails, call – and get higher value out of each platform. However, it is possible with chatbot development.

A bot can act effectively across all the platforms without having to be reprogrammed individually. It can offer a holistic communication medium across all the platforms, providing ultimate services to customers in the way that fits in their lifestyle. In other words, chatbots empower banks to offer omnichannel support without making a hole in their pocket.

4. New Account Generation

The AI-powered chatbots have simplified the process of opening a new account. All a user need to do is to answer a few questions and the bot will do the whole process. Isn’t it easy?

5. 24×7 Digital Support

The banking industry, with the help of Chatbots, are delivering 24×7 assistance to their customers. The bots, unlike humans, do not feel fatigue because of which they are able to deliver exceptional services to their customers day and night.

The bots help customers with different tasks like updating their KYC details, getting familiar with new schemes and services, troubleshooting account-related issues, etc. The chatbots resolve the user queries in minimal time, acknowledge them about the same and ask for the next command, which enables the users to ask multiple queries in a single conversation. Unlike calling on a helpline, they need not strike conversations per task.

6. Automate Processes

Bots, in the banking industry, manages the commonly asked queries while making the banking representatives free for investing their time in a more profitable way. In other words, chatbot machines handle the daily chores and cut down the requirement of an extra workforce at the bank, without compromising on the experience at the customer end.

Ally Assist – the personal digital assistant of Ally Bank is another example proving the impact of chatbot development services on the banking sector. The bot assists users to monitor their accounts, pay the bill, make transactions, track transactional patterns, etc. using natural language processing technology. This way, the bot uplift the customer experience by the act upon common customer service queries as well as make the bank representative free for performing complicated tasks.

7. Fraud Prevention

Another reason behind the rising popularity of Chatbot banking app is its functionality of fraud prevention.

Chatbots keep an eye on the actions taken related to financial services, like withdrawal of money, swiping a card, etc. in real-time. They send a notification to the account holder acknowledging the activities and allowing them to stop the transactions using a pre-customized command. This way, the banks are able to prevent fraud using chatbot development services and build customer loyalty.

8. Profitable Marketing

Banks provide a myriad of facilities. However, not all customers are familiar with all the benefits their banks offer. A chatbot understands the human behavior and pushes the related banking service/products at the right time. This way, it promotes the banking services and increases the conversation rates without annoying users.

9. Launch of User-centric Schemes

Intranet-based chatbots learn from the user behavior as well as prompt them to share their feedback. With the insights obtained from all the branches, the chatbot helps the banking management to study the impact of their existing schemes and refine them or introduce new plans, if necessary.

10. Efficient Workforce Functioning

An employee is no more required to log in to HRMS and request for accessing/updating his details or apply for a leave. Neither, he has to meet the HR officials in person. With the help of AI-powered chatbots, they can easily apply for leave, view their personal and payroll details, request for overtime payment, check their compensation history, and much more. They can also interact with bots to get their doubts clear and work more efficiently. In short, the chatbot assists the employees and encourage them to work to their fullest potential, without involving another human in the whole conversation.

Artificial Intelligence and Chatbot technology are making banking convenient and effective by delivering contextual and personalized responses. Though the future of conversational banking is not yet clear, the growing adoption of chatbot development services in the banking sector proves the competitive benefit of investing in the technology over those who are still wondering their next move.

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Chatbots- Ruling the App Market

You must be wondering what a Chatbot is, and how can it give ultimate experience to the users? Well, here are some interesting facts about Chatbots shared by our experts:

A Chatbot is a computer program designed for conducting intelligent conversations with humans, via audio or text. Since its arrival in 2011, it is working as the new tech wave to ride on so as to reach on the top of the market and beat the competitors. The AI-based Chatbots interacts with users; analyze their habits and purchasing patterns to deliver them more personalized choices. It also shares images, links and CTA buttons enriching user experience.

At present, most of the conversations are made by Chatbots. Some of the famous chatbots in use are Slackbot, Google Allo, Duolingo, Prisma, MagicX, and Mona. This throws light to the fact that Chatbot has become the trending way to remain in the limelight and do business.

Many big and small companies have already developed their own Chatbot applications, while many have made their chatbots available on the messenger apps. This is so because the messaging apps are gaining high traction over the other apps. With Chatbot technology integrated into messaging apps, one can easily increase its chances of success in the app market. So, what’s your plan now? Reach out to the best top app development company and give a tweak to your marketing strategy!

But, if you are still wondering how Bots can help in lifting your business, here is an example of a startup that is earning high revenue all because of Chatbot development.

Elves App & Chatbot Development

Cairo-based Elves, a personal concierge app, is known to help people with all sort of shopping, including Grocery purchasing, Booking cars, Discovering new places & making a booking, and so on. The mobile app operates through live interactions via text. These interactions were made by humans before. But with time, the conversations increased. A single individual had to perform 25 conversations at a time. To prevent compromise with the quality, the company switched to Chatbot development. The Elves Chatbot (Elf) is available on Facebook Messenger and allows users to get in touch for all their needs. The Elf interacts with the users, ask them different sets of questions like their like & dislikes, and offers options based on the information gained. The Chatbot enables users to find the best deal/product within budget as well as choose the best gift for others. Besides this, it also takes care of wrapping and delivering of the gift. In short, it helps to easily find the right thing without undergoing time-consuming, chaotic process of purchasing and delivering.

Elves app is in practice to do shopping and gift purchasing even when stuck in hectic daily schedule or sitting miles away. And the most interesting fact is that it does not ask for any membership or subscription fee, but is still making $80,000 a month. Isn’t the value surprising? According to our team, the Elves get 30,000 hits a month on Facebook and is easily accessible by the users throughout the world. Also, the Chatbots conversations are combined with actuals humans in complex situations to provide enhanced user experience. And this is the secret behind their brand awareness and revenue earned.

Wrapping Up!

The progress in technologies like AI (Artificial Intelligence) and NLP (Natural Language Processing) has increased the interest of companies in Chatbot Development. Companies are highly investing in this medium to provide exceptional user experience without suffering from a cognitive load of learning.

This also signifies that Chatbot will be a part of every business in the near future. It is also possible that it completely overtake market from the mobile apps. So, if you don’t want your business to be outdated, invest in one today! Look for the best Chatbot App Development Company and discuss your business goals.

We, at Appinventiv, have 200+ mobility experts having extensive understanding and expertise in technologies like Chatbot development. For last 2 years, we have worked on a wide range of automated features across hundreds of mobile app. We have a perfect record of serving clients worldwide with services including Facebook Bot development, Telegram bot development, and Slack bot development. To know more about our work, check out our portfolio!

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The potential of these chat based bots is game changing and there are many experts who even predict that these will eventually dislodge the apps with their uniquity, usage depth and importance in our daily lives.

Almost all of the technology majors are putting all their investments behind AI, which is in turn is based on machine learning and Big Data, as they are continuously trying to reach what may be termed as nearest to human intelligence. The bots in the present times are for initiating dialogues and to spur conversations with the customers.

However, there are many instances when these bots go bad. Some of these may tell the same thing repeatedly and yet some others are unable to answer the simplest questions, as the designers mistakenly overlooked that the humans often ask questions which are unpredictable and silly.

A poorly designed chatbot user experience will quickly turn a customer engagement into a terrible user experience. The users generally have high expectations from these bots powered by Artificial Intelligence. It is these which are taking customer experience to the next great level. The UX experience rendered by these bots must be able to make the customer feel as if the chabot is speaking in its own human language.

The foundations on which these bots are based on are not only dependent on the programming skills but there are lots of dependencies on the chatbot UX design. The usability of the bots is determined by how much they are able to answer the queries asked by their users.

Here are some UX elements that builds successfully the most engaging and interactive chatbots:

1. Smart Chatbots

AI must have the ability to comprehend in-depth human behaviour. Not much cross questioning is required, but they must be able to answer all the queries from the humans. Your bots appear with a smarter personality  with fully incorporated AI and language interpretation in place.

2. Visual Representation

Humans prefer to think that the bots used by them are more like friends who are answering all their queries in the form of some useful information, rather than one human machine interface or for that matter a robot.

There are many users who quite annoyingly ask repeated silly questions to their bots, so that they must be designed in such a way, that the most polite and non-offensive answers are provided with.

3. Chatbots with Compact Replies

Short and simple answers are what attracts your  users. If the chatbot is unable to reply in lengthy sentences, then they must be programmed in such a way that the replies are made in short and compact sentences.

The conversation with these bots is made more engaging and interactive with videos and photos to explain something in further details.

4. Escalation System in Chatbots

These bots also need some human supervision as it is not always possible to get all the answers based on them. There are some levels of interactions which require customer interactions to be carried out with the company executives.

The best of the UX for chatbots ensures that the bots are programmed in such a manner so that it understands when to escalate the query to a higher level supervisor. This will make it possible to resolve the customer issues, without causing any delays whatsoever. 

The bots that are developed must ensure that the bots say the right things at the right time. You can involve a set of random people to test the bot, whether it has the right effect. This will be successfully bring out those areas which were overlooked earlier. Once the flaws are rectified, these chatbots can be successfully displayed to millions of users. The chatbots must not be the ones that performs some mundane activities, but must be designed as a specialized purpose-driven bots that engage your target audience.

Appinventiv is one of the best custom chatbot development company, that have seen an outstanding pace of growth, in a matter of two years time. They have worked in many verticals like restaurant, health, learning, entertainment and many more. They believe in delivering user-centric apps for their customers, utilizing cutting edge technologies.

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More and more companies are investing in Chatbot development to provide exceptional assistance experience to the users, and thus, take leverage of the endless possibilities. In fact, it is estimated that 80% of businesses would implement bots by 2020.

Despite of a wide range of benefits associated with building chatbot, one question hindering the businesses to invest in the technology is: “Does their job ends at building a bot? Or is there any method to determine the Chatbot’s efficiency?”

If you are also facing the same dilemma, the answer is: “Yes, you can evaluate the performance of your bot.”

Different Measurements Metrics to Evaluate a Chatbot System

Just like we have different metrics to track our app’s performance, there are various metrics to monitor the chatbot evaluation, such as:

1. Activation rate

It refers to the rate at which a user responds to a chatbot first message with a question or answer that is related to the business. In other words, it indicates the number of users who go beyond the initial acquisition and perform one or more tasks related to the bot’s goal. In the context of determining activation rate, you need to evaluate:

• The total number of users interacted with the chatbot.
• The total number of users who sent a message to the chatbot, i.e., the engaged users.
• The total number of new users sending a message to your bot.

2. Average Session duration

Average session duration is defined as the time period for which a chatbot interacted with a user and it depends on the activity performed by the chatbot. For example, a weather chatbot has the role of providing weather updates to the user, and so the session duration must be short. Whereas, a chatbot helping the users in shopping, flight booking, or telling a story should keep the users engaged for a long time. Hence, the average session duration should be longer.

3. Session per User

The number of interactions per users is yet another metric to determine chatbot’s efficiency. Again, it is related to the purpose of the bot. If your chatbot’s prime role is to answer the questions of the users and they are visiting repeatedly, it is possible that they are not getting satisfactory answers in a single interaction. On the other side, if the main purpose of your bot is to sell your products/services, several interactions might indicate that the users are interested and asking a lot many questions to know more about the product, and eventually, take the decision of purchasing it.

4. Voluntary User Engagement

This metric shows the number of times a client has engaged with the chatbot without being encouraged to do so. The higher unprompted interactions with chatbot indicates higher interest and engagement rate of users targeted.

5. Retention Rate

Retention rate refers to the rate at which users return to the chatbot over a particular time period. This, again, depends on the purpose of the chatbot. For example: If you are having a fitness chatbot, it is said to be performing efficiently only if the users return on a daily basis.

6. Goal Completion Rate (GCR)

Every business invests in chatbot development with a specific goal. Even if your chatbot is delivering a higher number of conversations, if the assigned goal is not met – the chatbot can’t be titled as performing well. In such a situation, you have to look upon the mechanism behind the bot’s working to determine how it will meet the goal associated.

7. Revenue growth

The best way to calculate the performance of a bot is to analyze the financial profit gained. It not only defines the profit gained by client conversion but also includes the amount of money saved on maintaining a customer service team throughout.

If the client is more satisfied with chatbot service and you need not turn towards human customer service team often, the bot can be considered as performing perfectly.

8. Confusion Rate

How many time your chatbot got confused and replied as “I don’t understand” also matters when it comes to chatbot’s performance. The higher the confusion rate, the lower will be the user experience, which means you need to put more efforts in training your chatbot.

9. Human Fallback rate

Similarly, the number of times your chatbot fallbacks to a human for providing customer services is also an effective performance metric. If a bot cannot handle a conversation and turns to a human too early, it indicates poor performance.

10. Conversion sentiment

Not all people jump with joy when talking to a chatbot for the first time; some act weird while some respond with both the emotions. When a user replies ‘I love you’ or ‘I hate you’ to the chatbot, it can be either be due to the inability of bot in delivering expected user experience or because they were just playing games. To conclude if your chatbot is working properly or not, you need to consider both the situations and take the action accordingly.

11. Artificial Intelligence and Machine Learning rate

How to evaluate chatbot performance? An answer to this question can be used as a performance metrics for your chatbot. A chatbot with higher AI (artificial intelligence) and machine learning rate will be able to provide better services to the users, can increase the engagement rate and ultimately, add value to your business.

Utilizing the right metrics to determine the performance of your chatbot is an effective method to develop a chatbot the user’s needs. So, consider the right chatbot performance metrics to evaluate and optimize your chatbot’s performance for delivering exceptional user experience and increasing your business profits.

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Chatbot- The New Face of App Market

“The tech industry continues to undergo critical changes. The Websites replaced the desktop Operating system, mobile apps trumped over the websites and now, the Chatbots are all set to surpass mobile applications.”

Chatbots are becoming a hype in the tech industry! Also called Bots and Messaging bots, Chatbots are considered among the best ways to reach the customers and keep them hooked. As per our experts, chatbots with the help of messaging applications are providing newer opportunities to brands for user attraction and engagement. It is offering a promising future to the businesses, and in fact, is supposed to surpass mobile apps by the year 2020. So, what’s your plan now? Ready to invest in the technology used by popular companies like Hyatt, Spring and HealthTap? To make it easier to decide, here we are sharing the merits and demerits of Chatbot Development.

Benefits of Chatbot Development

• Reach a Wider Customer Base

As the messaging applications are gaining huge momentum over social networks and other applications, a Chatbot built into a chat platform like Facebook Messenger can help you to reach a wider customer base across the globe.

• Increased User engagement

Chatbots are usually text-driven, with images and unified gadgets. It enables the users to get all the information under the same roof, without going through the whole content. In short, the bots screen out the content users which to know and deliver to them in no time. With the help of Artificial Intelligence, Natural Language Processing and Machine Learning, the chatbots learns from the user’s behavior, previous interactions and offer customized services/products. Also, it keeps the vital details like name, address, credit details, etc. into its storage which implies the user need not to provide these information again and again. Apart from these, the Chatbots keep consulting the users like humans about their previous experience, which helps the customers get emotionally linked to the bot.

“According to Gartner’s report, 85% of user communications will be managed without human involvement by 2020.”

• Round the Clock’ Customer Service

Another reason why businesses are looking ahead to shaping the future with bots is its potential for ‘round the clock’ customer service. This empowers the customers to communicate regarding any product/service even in the midnight and get a response immediately.

• Faster & Customizable Facility

The websites take a few seconds or minutes to load, while the mobile apps consume your storage space. However, the chatbots loads instantaneously and do not ask for separate phone’s memory storage. Thus, they win the race as users prefer mobility solutions with faster loading time and lesser memory consumption.

Besides this, the bot provides a wider array of services- ranging from diagnosing your health to buying a gift to booking a flight ticket at the same platform. This is one of the prime reasons users love bots over the mobile apps.

• No More Stress of App Downloads

One of the challenges faced by the companies is getting their app downloaded. According to a report, though the number of app downloads is going to exceed 197 billion by this year, the rate of app downloads in the developed countries like the USA is declining to zero. In such a scenario, a Chatbot can be the ultimate solution for you! A Chatbot is integrated within the messaging apps, and need not be downloaded for usage. That means, your targeted audience can take the perks of your chatbot without compromising with their phone’s storage.

• Lower Development Cost

With Chatbot development, you can be available on all the mobile platforms and devices; you no more need to rely on platform-centric development resources. You need not spend weeks and months on developing an app or wait for approval from the app store. Also, building a chatbot is much faster and cheaper. According to our developers, a top-class Facebook bot can be built at about half the cost of a mobile application. Isn’t that amazing?

Limitations of Chatbot Development

• Immature

There’s no exaggeration to the fact that the Chatbot is the fastest flourishing technology in the field of app development. But still, it is not mature enough to give tough competition to humans and mobile applications. According to the top mobile app development companies, the bots gain knowledge by the interactions and might need a human assistant to handle the situation when something goes wrong.

The very best example of this is Microsoft’s chatbot Tay which turned from human-loving bot to a racist freak within 24 hours.

• Can Replace Promotional, Retail & Content-focused mobile apps only

Although there are millions of applications on the App Store, about 75% of revenue is driven by games. Various mobile app development agencies have integrated the gamification into the bots to attract the younger audience, but there’s still tough competition in the market. The applications like Prisma, Pokemon Go and MSQRD are still ranking on the top, proving that mobile apps are still in business.

Conclusion

Now, as you are familiar with the advantages and disadvantages of Chatbot development, take the right decision for your business. For any further query or get a bot for your business, contact us!

The post A Quick Guide to Pros & Cons of Chatbot Development appeared first on Appinventiv.

Today, we see the advent of more and more bots, with advanced features. There are a whole gamut of work that is possible through these advanced bots. The bots are programmed in such a way that they understand the question and answers them, accordingly. The searching experience becomes lot more easier with a bot, rather than hopping from one chatbot to another, while asking for a job done.

The market for mobile app development changes very rapidly. The bots act as replacement of the simple apps, in fact they replace multiple apps and because they are cloud based, they do not obstruct the phone memory. Bots are simply automated programs which are capable of operating with or without apps. A chatbot development company aims at developing a bot around a single function, that is chat- a simulated conversation. Machine learning is used by the chatbots. Furthermore, the bot has the ability to automatically update and also provides an instantaneous access to your smartphone. The usage of Natural Language Processing Tools , a part of Artificial Intelligence and thus have the ability to mimic natural human conversation.

Advantages of Bots over the Apps

There are several distinct advantage of the bots over the apps and some of these are:

• The bots are easy to be used. The moment you open up a messenger and ask a question, the bot will simply answer you back on your query.
• The development of the bots is also lot many easier and cheaper than that of the apps. The bots run irrespective of the platform.
• Humans love to communicate verbally and the bots makes this task awfully easier.
• The moment an issue is mentioned by the customers, the updates and the corrections are made, on an instantaneous basis, as the updates of the bots is much faster than that of the apps.
• There are bots that recommend other bots. It is relatively easy to build up on the users of a bot.

What is the future of Chatbots?

The future scope of chatbot development market has huge prospect of growth and is still very much in the nascent phase. They pose to offer a huge market and the has the tremendous potential of growth. There are various advantages that are offered by the intelligent apps, for the business and the entrepreneurial minded, to drive a sustainable enterprise venture. These are:

• Bazillion Beings are one such app that are amalgamation of multiple APIs, offering specific services.
• Messaging apps are quietly becoming the most used apps that reside on the phones of the users. More and more bots will be required as we see the progress in the messaging app market.

We have seen Facebook and WeChat in driving purchases, but we have also heard about Bazillion Beings, shaping the future of chatbots in an altogether different way. The bots are developed from open source services and the API codes and the result is the formation of whole new services, as desired by the users of the bots. Microsoft is letting the chatbot developers to build bots for Skype. Moreover, we see the use of ghost bots from app development companies that are capable of responding back with a text message, in order to end a conversation, with an automatic reply or a just an emoji. There are other instances of Facebook Messenger apps, that works on simulation techniques and facial-tracking and helps the user to find and purchase a suitable beauty product.

Appinventiv is an chatbot app development company, which specializes in the areas of chatbot development. If you have any unique ideas, please feel free to share with us at [email protected].

[Also Read: Advantages Making 2017 a Year of Bots]

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