Customer service, at times, can be a very challenging field, one that can socially drain the human workforce. In adverse situations, the customer support professional can exhibit emotions that can ruin the interaction. for more information visit our website:- https://www.supportgenie.io/blog/ai-present-future-improved-customer-service?utm_source=slideshare&utm_medium=document&utm_campaign=document17july

1. AI is the Present and
Future of Improved
Customer Service
AI presents a win-win scenario for Human-Technology
collaboration as well as entirely Technology Dedicated Customer
Service.
You know the world is changing when a hologram pop star, named Hatsune
Miku—driven by an AI autotuning (vocoder), attracts thousands to concerts
around the world and actually becomes a singing sensation.

2. Now that's something we never expected, however, a lot of unexpected
things have taken shape since the conception of Artificial Intelligence.
Expected to cross the $200 billion mark in the next five years, AI has
already laid the foundation for utmost integration with the human world.
Favorably, the customer services domain is no alien to such growth. The
relationship between customer service and AI has long been associated
with improved customer satisfaction and a boost in productivity.
For this precise reason, this article endeavors to explore their fruitful
connection and the perceived opportunities for futuristic innovations.
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Why is AI considered apt for
customer service?
Customer service, at times, can be a very challenging field—one that can
socially drain the human workforce. In adverse situations, the customer
support professional can exhibit emotions that can ruin the interaction.
Loyalty is the reason why many organizations place emphasis on providing
a world-class customer experience. Customers always have the upper
hand when it comes to service and are more than likely to switch allegiance
from failure to meet their expectations. With that in mind, companies are
always looking for a solution that can provide instant gratification. The next
progression for support is to provide a self-service solution that can be
rendered in real-time using the latest technology.

3. But this is not all for justifying the use of AI in customer service. The
customer care segment is more or less monotonous and redundant. In
addition to that, it requires individuals to respond quickly while
unproductively multi-task.
All the preceding factors contribute to the notion of AI, where Machine
Learning (ML) and Natural Language Processing (NLP) administer the
proceedings. AI is reflective of an ideal technology that can listen, respond,
and deliver in reasonably quick succession.
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How can businesses make use
of AI in customer service?
Businesses highly prioritize customer satisfaction, which presents an
opportunity for AI to dominate the domain. By adding AI-powered chatbots

4. and virtual assistants to the ranks, businesses can work in favor of their
ever-desired objective—brand reputation.
● Quick Response Time and Multitasking: One of the most
conspicuous features of AI is its ability to multi-task and direct the
customers to self-service options. By leveraging and employing
different modules of Machine Learning technology, AI can give fast
answers to simple queries.
● Trend recognition and swift interaction: AI reduces the research
time, for it can store the answers and subsequently leverage them to
derive trends that can assist in answering the query.
● Improved recommendations: Predictive analytics is one of those
facets of AI, which provides a customer-centric recommendation
instantly. This is where AI uses Big data for gathering insights into
consumer behavior.
● Personalization: Chatbots have a sound cognitive ability. In other
words, they can reason, solve problems, plan, and comprehend
complex ideas. With recommendation systems continually providing
them with input, these chatbots can provide a human-like
experience. It is noteworthy that this experience will differ from
person to person based on his or her interests and requirements.
● Urgency detection: That's right; AI is capable of prioritizing the
issues and responding to them in quick succession. This is where AI
acts as a prominent tool for customer agents.
● Email regulation: AI further strengthens the distribution system of
emails by tagging them according to the intensity and urgency of
the issue. By doing this, it constrains the customer agent solely to
resolving the issue and reduces his or her workload.

5. It is noteworthy that AI presents a win-win scenario for Human-Technology
collaboration as well as entirely Technology Dedicated Customer Service.
What is the future of AI in
customer service?
Safe to say—it is bright. AI does arrive with the danger of a mass layoff;
however, little can overshadow its groundbreaking capability. Besides,
when the brands are predominantly concentrating on enhanced customer
support, AI remains on the top of the list.
Scalability, one-time investment, reliability, consistency, accuracy, and
real-time support contribute to the inevitable industrial revolution that AI
seeks to bring forth. With the rapid pace of industrial progression, it
appears that this revolution will arrive earlier than what is expected.

6. So, how will customer service function when AI completely takes over?
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A surge of empathy thanks to Neural
Networks
Neural Networks are the most effective in emulating the human brain. They
can adapt to the surroundings based on the data they have been rendered
with. The fact that they can achieve successful imitation in a very short time
places them at the helm for customer service.
Because these algorithms run on fed attributes, their characteristics reflect
upon the choice of organizations. In concrete terms, they demonstrate what
you want them to do. For this precise reason, we can expect a surge in
empathy, compassion, and intellectuality.
More meaningful conversations courtesy
of NLP
Natural Language Processing or NLP has already exhibited
conspicuousness with search engines. The same is expected with NLP
powered chatbots, which will comprehend the language seamlessly and
provide meaningful answers.
Now, this doesn't come as a surprise because chatbots are performing
exceptionally well even these days. However, as the data will increase,
NLP will become more effective—comprehensive analysis, sound
understanding, competent decision-making. In other words, NLP will help

7. drive the information retrieved from social systems by utilizing it for fruitful
conversations.
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Generation of exponential ROI
The inclusion of chatbots will point towards decreased payroll costs and
increased competence. First off, chatbots will come expensive; however,
the maintenance wouldn't cost much compared to the remuneration offered
to customer service professionals. Second, reducing costs will pave the
way for paying high amounts to specialists at eminent seats. With regard to
technicality, chatbots will be swifter, rational, creative, innovative, and
empathetic—all of which contribute to increased customer satisfaction and
exponential ROI.
Three things we have learned
from customer service AI
● Your business will gear up for a venture where relationships are built
for prolonged periods. These relationships will develop in accordance
with the values you infuse in your technology.
● Your business will incline with the dynamic technological domain. In
the ever-increasing competition, you'll be able to serve as an
imminent contributor to constructive but disruptive change.
● Your business will witness a growth that you have always envisioned.
The ROI will grow exponentially, and you'll be able to satisfy
customers at an unprecedented rate.
All-in-all, your venture will align with your mission and vision—all
thanks to the successful integration of customer service and AI.