Introduction: The Evolving Power of NLP

Natural Language Processing (NLP) is advancing rapidly, transforming how humans interact with machines. As we head into a new era of AI adoption, NLP trends for 2025 indicate a shift toward smarter, more empathetic, and multimodal language systems. From enterprise automation to real-time voice AI, NLP is shaping the digital experiences of tomorrow. In this blog, we explore what to expect in the NLP landscape in 2025 and how GoodWorkLabs is leading innovation in this space.

1. Rise of Multimodal NLP Models

What’s Changing?

Multimodal NLP -combining text, audio, and visual inputs – will take center stage in 2025. Large models such as GPT-4, Gemini, and Claude are already showing signs of interpreting not just text, but also images, audio, and video.

Use Case Example:

Imagine a customer support bot that not only understands user complaints through text but also interprets images or voice notes to resolve issues faster.

How GoodWorkLabs Adds Value:

GoodWorkLabs builds intelligent multimodal applications that blend NLP with computer vision and speech recognition, enhancing real-world user experiences across platforms.

2. Industry-specific fine-tuning of Large Language Models

The Trend:

2025 will see a surge in domain-specific LLMs that are fine-tuned for sectors like legal, healthcare, finance, and retail. Instead of generic outputs, businesses want tailored models that align with industry lexicons and compliance requirements.

GoodWorkLabs’ Edge:

Our team specializes in custom NLP model training and fine-tuning proprietary datasets, ensuring outputs are aligned with business logic, tone, and sectoral nuances.

3. Explainable NLP: From Black Box to White Box

Why It Matters:

As enterprises integrate NLP into sensitive areas like legal contracts, diagnostics, or financial forecasting, the demand for explainable NLP models will skyrocket. Transparency in decision-making is no longer optional it’s a mandate.

GoodWorkLabs’ Solution:

Our AI experts implement explainable AI frameworks that allow users to understand how an NLP model reached a conclusion building trust and ensuring regulatory compliance.

4. Emotion-aware and Empathetic NLP

The Innovation:

In 2025, NLP will evolve to recognize emotional tones, sentiments, and even intent shifts in user conversations. This is particularly relevant in customer service, mental health apps, and HR systems.

What GoodWorkLabs Offers:

By leveraging sentiment analysis, emotion detection APIs, and advanced context modeling, GoodWorkLabs crafts conversational AI that’s not just smart but also human-like in tone.

5. Real-Time NLP Applications in Voice and Edge Devices

Driving Factors:

With the rise of edge computing and voice-first interfaces, NLP systems will need to process data locally and instantly without relying on cloud latency.

Example Use Cases:

• Voice-controlled appliances

• Real-time medical diagnostics on wearables

• In-car voice assistants with zero lag

GoodWorkLabs in Action:

We develop low-latency, edge-optimized NLP solutions for IoT, automotive, and wearables, ensuring real-time processing with minimal bandwidth usage.

6. NLP for Low-Resource Languages and Inclusivity

Global Need:

Billions still don’t have access to digital services in their native languages. 2025 will see a rise in NLP models supporting low-resource and regional languages.

How We’re Making a Difference:

GoodWorkLabs is actively building multilingual NLP systems, especially for Indian regional languages, democratizing access to AI-driven tools for all users.

7. AI-Generated Content Moderation and Compliance

The Challenge:

With LLMs generating content at scale, AI-driven moderation of hate speech, misinformation, and copyright violations becomes critical.

GoodWorkLabs’ Innovation:

We integrate content moderation layers into NLP systems that ensure automated content complies with brand, legal, and ethical standards.

8. Integration of NLP in Enterprise Workflows

Trend:

Enterprises are embedding NLP directly into business workflows from email summarization and report generation to legal document parsing and automated responses.

GoodWorkLabs Delivers:

We build enterprise-grade NLP integrations using APIs, workflow engines, and automation tools transforming productivity at scale.

9. Privacy-First NLP Systems

What’s Evolving:

Data privacy laws like GDPR and India’s DPDP Act are putting pressure on NLP models to protect personal and sensitive information.

GoodWorkLabs Approach:

We embed privacy-preserving techniques in NLP applications, including on-device processing, federated learning, and secure data obfuscation.

10. The Fusion of NLP and Knowledge Graphs

Emerging Synergy:

Knowledge graphs are being used alongside NLP to enhance semantic understanding and reduce hallucinations in generative AI outputs.

GoodWorkLabs Expertise:

We specialize in combining semantic NLP pipelines with knowledge graphs for precise entity extraction, contextual reasoning, and robust QA systems.

Why Choose GoodWorkLabs for NLP Solutions?

• Expertise in custom NLP model development

• Support for multilingual and regional language NLP

• Edge and real-time NLP application design

• Proven success across industries – from FinTech to EdTech

• Privacy and compliance-first architecture

• Conversational AI solutions tailored to business needs

Whether you’re building an advanced chatbot, content intelligence platform, or multilingual voice interface, GoodWorkLabs has the expertise, tools, and passion to bring it to life.

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Conclusion

As we approach 2025, NLP is no longer a luxury it’s a necessity. From contextual chatbots to real-time voice intelligence and emotionally aware systems, the possibilities are endless. Staying ahead means embracing the latest NLP trends and aligning with a technology partner like GoodWorkLabs that understands both innovation and implementation.

Introduction

In today’s digital landscape, businesses are increasingly turning to AI-powered chatbots to enhance customer experiences and streamline operations. These intelligent virtual assistants not only provide instant support but also significantly reduce operational costs. GoodWorkLabs, a leading software development company, specializes in crafting advanced AI chatbot solutions tailored to diverse business needs.

The Rise of AI Chatbots in Customer Service

AI chatbots have revolutionized customer service by offering 24/7 support, handling multiple queries simultaneously, and delivering consistent responses. According to a report by IBM, businesses utilizing AI-infused virtual agents can reduce customer service costs by up to 30%.

Key Benefits of AI-Powered Chatbots

1. Enhanced Customer Experience

AI chatbots provide immediate responses, reducing wait times and increasing customer satisfaction. They can handle a wide range of queries, from simple FAQs to complex issues, ensuring customers receive accurate information promptly.

2. Cost Reduction

Implementing AI chatbots leads to significant cost savings by automating routine tasks and reducing the need for large customer support teams. For instance, companies like Vodafone have reported cutting support costs by up to 30% through the use of AI chatbots.

3. Scalability

Unlike human agents, chatbots can handle an unlimited number of interactions simultaneously, making it easier for businesses to scale their operations without proportional increases in cost.

4. Data Collection and Analysis

Chatbots can collect valuable customer data during interactions, providing insights into customer behavior and preferences. This data can be analyzed to improve products, services, and customer engagement strategies.

GoodWorkLabs: Pioneering AI Chatbot Solutions

GoodWorkLabs stands at the forefront of AI chatbot development, offering customized solutions that align with specific business objectives. Their expertise encompasses:

• Natural Language Processing (NLP): Enabling chatbots to understand and respond to human language effectively.

• Machine Learning Integration: Allowing chatbots to learn from interactions and improve over time.

• Multi-Platform Deployment: Ensuring chatbots are accessible across various platforms, including websites, mobile apps, and social media.

• Secure and Compliant Solutions: Adhering to data protection regulations to maintain customer trust.

Implementing AI Chatbots: Best Practices

To maximize the benefits of AI chatbots, businesses should consider the following best practices:

1. Define Clear Objectives

Establish what you aim to achieve with the chatbot, such as reducing response times, handling specific queries, or collecting customer feedback.

2. Choose the Right Platform

Select a chatbot platform that aligns with your business needs and integrates seamlessly with your existing systems.

3. Continuous Training and Improvement

Regularly update the chatbot’s knowledge base and algorithms to ensure it adapts to changing customer needs and language usage.

4. Monitor Performance Metrics

Track key performance indicators (KPIs) such as customer satisfaction scores, resolution times, and engagement rates to assess the chatbot’s effectiveness.

Real-World Impact: Case Studies

Companies across various industries have successfully implemented AI chatbots to enhance customer service and reduce costs:

• Banking Sector: Commonwealth Bank’s AI-powered chatbots handle approximately 50,000 daily inquiries, improving productivity by automating routine tasks and freeing up call center staff for more complex issues.

• Healthcare Industry: Newcastle-based health insurer NIB saved $22 million through its AI-driven digital assistant, Nibby, which reduced the need for human customer service support by 60%

Future Outlook

The integration of AI chatbots is expected to become more sophisticated, with advancements in emotional intelligence, multilingual support, and seamless integration with other AI technologies. Businesses that adopt these innovations will be better positioned to meet evolving customer expectations and maintain a competitive edge.

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Chatbots are everywhere. Any website you visit, they are hanging around in one way or the other. Chatbots have revolutionised the way businesses interact with their customers. They can handle a wide range of tasks, from answering simple FAQs to providing complex product information. Businesses can free up their human agents to focus on more strategic work by automating these tasks. Additionally, chatbots can help improve customer satisfaction by providing quick and accurate responses to their queries.

But what are they? How do they work? 

Interested to know more? This step-by-step guide will help you get started.

Step 1: Define your goals

The first step in developing a chatbot is to define your goals. What do you want your chatbot to achieve? Are you looking to improve customer service, generate leads, or provide product information? Once you know your goals, you can start to think about the features and functionality that your chatbot will need.

Step 2: Choose a chatbot platform

There are a number of different chatbot platforms available, each with its own strengths and weaknesses. Some popular options include:

• Dialogflow
• Botpress
• Microsoft Bot Framework
• Chatfuel
• Insighto.ai

When choosing a platform, it is important to consider your technical expertise and budget. Some platforms are more user-friendly than others, while others require more technical knowledge.

Step 3: Design your chatbot’s personality

Your chatbot’s personality will play a big role in how users perceive it. Do you want your chatbot to be friendly and helpful, or more formal and professional? Once you have decided on a personality, you can start to think about the language that your chatbot will use.

Step 4: Train your chatbot

Training your chatbot is an important step in the development process. This involves teaching your chatbot how to respond to different user inputs. You can do this by providing your chatbot with a large amount of training data.

Step 5: Test your chatbot

Once your chatbot is trained, it is important to test it thoroughly. This will help you identify any errors or bugs that need to be fixed. You can test your chatbot by interacting with it yourself or by using a testing tool.

Step 6: Deploy your chatbot

Once you are happy with your chatbot, you can deploy it on your website or social media channels. You can also integrate your chatbot with other platforms, such as messaging apps.

Additional tips

• Keep your chatbot’s responses concise and to the point. Users don’t want to read long, rambling answers.
• Make sure your chatbot can handle a variety of user inputs. This will help you avoid frustrating users.
• Continuously monitor your chatbot’s performance and make improvements as needed.

Developing a chatbot can be a complex process, but it is definitely worth the effort. By following these steps, you can create a chatbot that is both effective and engaging. If you’re looking to simplify this process with expert support, partnering with an experienced AI chatbot development team can help you bring a powerful, intelligent assistant to life tailored to your business goals and user needs.

Seems a bit too complicated? Don’t worry. You don’t have to do any of this. 

GoodWorkLabs offers a comprehensive suite of services to help you develop cutting-edge chatbots. Our team of experienced AI and machine learning experts can assist you in every stage of the chatbot development process, from ideation to deployment.

Our services include:

• Chatbot Design and Development: We create engaging and efficient chatbots tailored to your specific needs.
• Natural Language Processing (NLP): We implement advanced NLP techniques to enable your chatbot to understand and respond to natural language queries.
• Machine Learning Integration: We leverage machine learning algorithms to continuously improve your chatbot’s performance and accuracy.
• Integration with Existing Systems: We seamlessly integrate your chatbot with your existing systems, such as CRM, ERP, and marketing automation tools.
• Deployment and Maintenance: We deploy your chatbot on various platforms and provide ongoing maintenance and support.

By partnering with GoodWorkLabs, you can harness the power of AI to enhance customer experiences, boost sales, and streamline operations.

Contact us to Build Next Gen Chatbot

Dating apps are increasingly taking the help of AI!

It is apparent that you will have used a dating app at least once, even if you never dared to admit it openly in your social circle. The premise of most dating apps is the same; take a look at the picture visible with a little information and then decide to take a swipe left or right. These swipes determine your rejection or interest to the profile of a particular person respectively.

During development stages, these dating apps were a little cluttered and confusing to move through. Today, however, you can just bid a farewell to hours of mindless swiping through numerous profiles. Thanks to Artificial Intelligence.

Dating apps are increasingly taking the help of AI to help users suggest places to go for a first date, indicating the initial remarks that can be said to the person at the other end. To make the matter all the more intriguing, these apps even assist you in finding a partner who resembles your favorite celebrity.

Until very recently, smartphone dating apps like Tinder left the task of asking someone out and making a date go well to people who were using the app. Gradually, this led to fatigue in the users who had to keep searching through a lot of profiles without too much success.

This is why the online dating sector turned over to take the help of Artificial Intelligence and get people to arrange dates in their real lives, acting more like a dating coach of sorts.

These newly found utilities of Artificial Intelligence, where the computers are programmed to develop human processes like thinking or decision-making have been highlighted time and again, signifying its importance.

Uses of Artificial Intelligence for Dating Apps

If anything, dating websites and applications have established themselves as the new benchmarks when it boils down to getting the first date for yourself. This is why as we mentioned above, many websites and app owners are trying to use something different on the lines of AI to ensure and provide the users with a fantastic overall experience.

Here we look at how AI is improving the dating lives of users along with the user experience of a dating app or website as a whole-

1. Help find better matches

Being the most obvious use, of course, AI for dating apps helps to improve the matching of people with their potential dates. There are two pretty remarkable methods through which this is happening. The dating app Hinge has recently been observed testing a feature which they call Most Compatible that takes the help of machine learning in finding better matches.

The feature monitors how people behave on the app. This behavior involves the kind of content a user has previously liked. The function aspires to serve as a matchmaker to find you, people, with whom you matched with on the platform prior.

The dating sites presently are as good as the data they have. Keeping that in mind, the dating sites are increasingly making use of technology and suitable data to filter out the matches for their users. There are many cues like emotion in communication, revert times and the size of profiles too.

2. Keeps things in moderation

Keeping things moderate on dating apps is very important for two essential reasons. It is evident that you wish that people have an overall positive user experience. If people have to continuously swipe with the fear of accidentally getting a fake account, they will ultimately switch over to some other app.

Moderation has also become essential to protect the app company itself. Many authorities are taking down any web platform which is not severe for sex trafficking and related crimes.

This has left with moderation not being an option anymore for brands, effectively going them with two options- manual moderation or automation enabled by computer vision (CV) moderation. Only one method out of the two helps a dating app scale and moderate more content at lower costs, and that method is computer vision.

3. Prevents security concerns

For any user of dating apps, security is one of the prime concerns. One negative experience is more than enough to turn people away from a specific app permanently. It is essential that dating apps take this very seriously and invest in measures to make their platforms secure to the maximum possible extent.

Getting every individual with enough help for a date is going to be impossible, and this is why companies will have to depend on AI to take care of this issue. An app called Hily gives the users a “risk score” that provides a user with passing ID verification, past complaints, the extent of conversation with other users and time spent on the app.

An individual with a high-risk score can be blocked on the app by the other users from sending their private information to the particular profile. The app can also detect when a photo has been tampered and then blocks such users too.

4. Provides great & useful user content

The final use of dating apps for the dating scene in 2019. Many factors make a dating app interactive and user-friendly where they can move to have a good time. Selfie images and information related to the profile of an individual are part of the content which is available on such apps.

AI can be used to provide better advice to users as to what they could do to improve their dating profile and visibility. For instance, online dating coach Greg Schwartz used face recognition model Clarifai to create an app which could recognize the standard errors that people tend to make in the photos they use on certain dating apps like using the images of fancy cars and bikes to get an impressive looking profile.

While not everyone has the same opinion that Artificial Intelligence is going to help them out in finding the love of their lives, the trend is currently on the rise, and it will be fascinating to see how things further unfold within this year.  

To know more about how AI can help your business, reach out to us:

How Chatbots can help with Customer Service

The road to high sales goes via the street of customer experience. Customers desire a quick and easy solution to their problems. Hence, companies are expected to fulfill this demand.

The rise of chatbots has improved communications between businesses and brands. While customers leverage self-help, businesses can build stronger relationships and increase sales.

Here, in this article, you will find 3 fundamental ways how chatbots are improving customer service.

1. Responding quickly and engaging with customers

Businesses are avoiding delays in responding to customer’s requests. The goal for businesses is to resolve a query immediately. And a live chat assistant helps in achieving that goal. Customers are notified about the chat availability to resolve their queries at any time.

Wells Fargo uses a Facebook chatbot to resolve issues of their customers. Customers get to ask questions regarding credit cards, deposits, transactions and the locations of ATMs.

Similarly, the Bank of America has their own digital assistant. Customers are allowed to choose text or voice messages to ask their queries.

Chatbots use a pre-decide pathway of conversation. However, if the query is not according to the program, they can direct customers to the FAQ section of the platform. So, customers at least get a quick response to their queries.

Engaging customers is also an essential part of customer service. Experts think that chatbots can become operational in brand engagement as well. Engaging consumers allows them to become a customer of your business.

A consumer can learn about a brand or product during a chatbot conversation. Businesses are using chatbot to promote their updated products or new products. Whole Foods is using chatbot to provide upcoming recipes to their customers. A user can select an ingredient emoji and find recipes that include that ingredient.

2. Answering simple questions and reducing customer service cost

Most questions asked by customers are simple. But they all take time, which is why businesses are required to pay their service agents. Chatbots are capable of reducing that cost for good. There is no need for a large team of representatives. A single chatbot is enough to resolve simple queries from hundreds of customers.

Chatbots bring accuracy and cost-effectiveness to customer service. You can program a chatbot with simple questions and their responses. This way, customers get immediate engagement and the business gets to save money.

3. Being available 24/7 for customers

Every business presents customer service with continuous availability. A business that is available 24/7 is more reliable for customers. But with human representatives, you require a vast team to accomplish continuous assistance.

However, chatbots can stay available all the time. They stay active all the time and engage customers. Hence, you can have a small team of support staff and handle a vast group of customers.

Final words

If a customer is unsatisfied with your service, you can sell anything to him or her. In fact, you lose more customers due to bad service. That is when chatbot comes into the picture to improve customer service and enhance your ability to sell products and build a reputation.

Chatbots in Recruitment

Did you know that 74% of the candidates for a job recruitment drop out after starting the job application process? The lengthy process and reams of paperwork are some factors for this stat. How good would it be if technology could present a solution that takes out the tediousness from the entire recruitment process?

Well, technology already has a solution ready that fits in perfectly in this context – chatbots

What is a chatbot?

A chatbot is an AI programme that converses with humans in a meaningful and contextual way. Their ability to be accessible to customers round the clock adds multiple business advantages. They not only elevate user experience but also reduces costs of maintaining full-time customer support personnel.

Because of the immense business value that a chatbot offers, it finds applications in multiple industries. The recruitment industry is the latest one to have enjoyed the benefits of having a chatbot. Mya and Job Pal are two examples of chatbots that are revolutionizing the recruitment industry to a great deal.

How can a great chatbot make recruitment effective

1. Save time and money

Chatbots have evolved to be smart and useful. Right from sifting resumes to answering initial queries from a job applicant, it can do it all without the need for an actual executive to sit in front of a computer to carry out these tasks. It can also determine if a particular job opening is aligning well with a particular candidate during a conversation.

2. Application process made more effective

A chatbot is a better option to engage in the initial phase of candidate application. It can save time and get the needed information by taking the course of a natural conversation. This way the high chances of midway drop-outs through the application process can be brought down significantly.

Even if the candidate leaves midway, the chatbot can nudge him/her later on in subtle ways to try and get the entire application process carried out. From scheduling appointments for interviews to sharing information on new job openings and letting the candidate know about the application status, a chatbot can help make the job application process less cumbersome.

3. Pre-screening process made transparent

The traditional interaction between a recruiter and a candidate is filled with uneasy periods of silence post the interview. A chatbot can help fill this gap by a pre-screening process and making the entire activity an interactive and transparent one.

By instantly providing information on approval or rejection, the candidate can take the next appropriate step. This transparency of application process helps candidates get a quick update on the status of their job applications and reduces a lot of back an forth procedures for the HR management and candidate.

4. Automate routine tasks

Mechanical tasks such as sifting through resumes, scheduling interviews, and internal coordination are routine yet necessary tasks within the recruitment activity. With a chatbot, all these routine tasks can be easily automated and HR professionals can focus on more complex activities such as employee branding, improving the outreach and other management related aspects.

To wrap up, while many recruiters feel that chatbots are likely to make jobs obsolete, the fact remains that they actually make the recruiters’ job more powerful and effective rather than making them redundant.

Technology Trends in 2018

Digital experts and tech giants have always talked about the importance of innovative computing technologies. These processes and methodologies will develop and bring down market costs to a great extent. The opportunity to innovate interactions will initiate organizational growth. Every organization would like to stay ahead of the growth curve, and that’s where they need the support of unique technologies.

What do the statistics state?

When it comes to assessing the growth and development of technologies, there’s no denying the contribution of tech giants like Apple, Amazon, Microsoft, Facebook, and Alphabet. These ventures together contributed a lot to the total market gains. In fact, federal investments in the digital market will touch the $95 billion mark by 2018. Now, we know how the technology market is going to shape up in the coming years.

Identifying the promising and prospective technologies at this juncture will be a great thing to do. We must have a look at the four exciting technologies that are expected to leave a mark in 2018!

1. IoT

Internet of Things is crucial, and it’s here to stay. According to market sources, a whopping $6 trillion will be allotted for IoT solutions within five years. If we take a look around, we will surely come across numerous smart homes.

People are already living in smart homes, waking up to smart alarms, and having smart voice assistants at home. The trend will increase over time, and the time isn’t far when every process will get automated. Internet of Things has already made an indelible impact, and it will continue to rule the tech arena in 2018 too!

2. Virtual Reality

It is highly imperative to track the growth of VR in 2018. Revenues of VR content will rise from USD 2274.24 million (2017) to USD 13964.98 million (2020). Head Mounted displays revenue too will rise from USD 3243.12 million (2017) to USD 6498.26 million (2020).

Although, this particular technology is taking giant strides towards development, there’s still room for improvement. Creation of attractive content and high-value services would be important. VR will stay, grow, and excel if experts innovate and improvise the VR-supported modules.

3. Chat-Bots

Enterprises across the globe consider customer service to be an integral aspect of their services. Consumer satisfaction is highly important, and this is where smart consumer-facing chat bots making all the difference to the CX industry.

Chat bots humanize machine interactions, thus helping you develop a personalized camaraderie with consumers on the other end. Advanced bots also leverage AI to ensure interactive UX. Looking at its ability to generate business with 47% of the consumers, the trend will surely grow and reach new heights by the end of 2018!

4. Augmented Reality

With the two most popular tech giants, Google (ARCore) and Apple (ARKit) making the first move, startups and other ventures will try their best to invest in AR. The sector is expected to grow in the next 4 years to touch $83 billion per year by 2021. The top brands are already planning to incorporate AR strategies looking at this disruptive trend.

Signing off

These trends will determine the market for innovative technologies in the coming year. If you are working in the digital sector, it’s high time to wait and watch out for them!

Marketing Bot- What is it?

Since time immemorial, there has been a lot of changes in technology which has only benefitted marketing and its attributes. Again, there is one consideration in artificial technology, which is becoming a hot topic to support online marketing. – the Bot.

Bots and chatbots are emerging as an integral part of automated technology, which are way too appealing to perform simple tasks with ability to respond as a human and interact like them.

Marketing ‘ChatBot,’ as the name suggests, is an interface integrated with channels like Slack and Facebook to revert to any customer query related to products. Rather than making customers wait for all day long for the revert, ChatBots can make it quick and real-time. This is not the end – the Bots can also collect and save the data for future insight of the customer and its behavior.

Who all are using Chat Bots?

Service-oriented companies which are looking for serving their customer queries in real time are using the chatbot. The prominent industries to name some are- travel industries, ecommerce industries and many more.

So, if you are willing your company’s marketing sales to be benefited with Chat Bots too, here are top 5 Chat Bots to consider.

Top 5 Chat Bots in Marketing

1. ManyChat

These days, Facebook has become a great deal for businesses as 75% of consumers are using it. So, if you have a Facebook Page of your company then ManyChat is the option for you. It will help you respond instantly to any Facebook query. You can also set auto-responses with keywords and post management on your page as well.

Other benefits

• 2 minutes required to set it up
• No coding is needed
• Targets only genuine news to your subscribers
• Automatically adds subscriber and updates everyone

2. SurveyBot

SurveyBot also works on the same interface as ManyChat does. With this bot, you can create marketing surveys to collect useful data from Facebook messaging. It behaves like a real human by using Answer Piping, re-engagement and conversational logic; it also uses 12 question types to put up right questions.

Other benefits

• Behaves more like a real human
• Collect information from subscribers
• Analyze survey results
• Build lead generation

3. MotionAi

With an amazing visual interface, Motion.Ai stands out as one of the most powerful bots. This bot is easy to set up and allows you to draw your own flowchart and chat diagram. Motion.Ai allows you to get bot templates and additional apps to get you started.

Other benefits

• Minutes to launch the bot
• Owns a bot store to choose templates
• 2 bots can be built
• 1000 messages per bot

4. Chatbot

Mr. Chatbot is specifically designed for ecommerce industry, which uses Chatbot technique of Facebook Messenger. It basically uses AI (Artificial Interactions) to drive sales. So, create your ecommerce Chatbot with Mr.ChatBot and see the difference.

Other benefits

• Responses within a few seconds
• Language usage according to users
• Signed up users will get Newsfeed and special promotions

5. Assist

Assist has a big name as it is used by Hyatt, one of the customer services oriented companies. This chatbot offers a platform for all types of conversation, doing away with the pre-defined scripts specifically for the travel, shopping, and hospitality domain.

Other benefits

• Fast working platform without pre-defined scripts
• Natural language processing
• Realistic interaction with customers

These chatbots signify everything that is right with the user experience delivered by way of engagement with the customer. When you are building a chatbot, the above 5 products would emerge as stellar examples of how a chatbot should be devised, designed, and deployed.

The Chat Bot Revolution

Significant developments in AI and the rapid proliferation of messaging applications have led to the growth of chatbots. We will surely come across a multitude of tasks that are performed and executed through messaging apps and software. It is no wonder that Juniper’s new research finds that chatbots will lead to a cost savings of $20 million in 2017 which will multiply to a whopping $8 billion by 2022.

It’s here that we come to the crucial point. Does the widespread popularity or increased usage of these bots point at a specific opportunity? Does it actually talk about a trend that’s going to rule the tech arena in future? Finding answers to these crucial questions is what we plan to do with this blog!

The recent developments in the world of chat bots

Chat bots have come a long way from just being communication aids to integrated messaging software. Companies are taking a keen interest in providing services and solutions around this technology. Cases in point –

1. Microsoft’s own bot framework to allow development of chatbots
2. Facebook acquires Wit.ai
3. IBM acquires Cognea

App usage recession

There’s no denying the utility of apps even till this day! Dynamic, highly functional, and innovative applications have completely transformed the way people work and do business. However, things began to change from 2015. Apps weren’t the ‘hot’ property anymore as the app market was struck by severe recessive forces.

If we refer to what Google has to say about this, we will find that an average user has nearly 36 applications on his smartphone. However, 80% of those apps aren’t used regularly. That explains the situation quite clearly. If you want your app to get noticed and used on a daily basis, it has to be relevant and rank amongst those few apps which find applications in day-to-day functioning. While social media apps are the most popular ones, it is the gaming applications that follow suit.

The emergence of Chatbots

What we need to find out is how chat bots are different from apps? Are they reincarnations of an application or distinctive entities? Let’s take a look!

Businesses today share one point of similarity. Each of them strives hard to ensure 100% satisfaction for consumers. Whether it’s a small-scale business or a huge venture, customer service and support are critical to its growth and development. It is here that chat bots enter into the scene. Every consumer or buyer will wish to gain personalized experiences while associating with a brand and chat bots can make it happen for them.

What’s the future for chatbots?

We can’t depend or rely on technologies entirely when it comes to ensuring 100% customer satisfaction and support. Human intervention is always necessary. However, chat bots ensure logical, transparent, and clear communications. You will have them right within your applications, and no matter what you speak will get recorded. So, there’s no chance of ambiguities or confusions.

As far as the current market trends suggest, chat bots are heading towards a bright future. Let’s keep our fingers crossed and wait for the final results!