How to Revolutionize Angolan Banks with Chatbots
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How to Revolutionize the Angolan Banks with Chatbots

After conquering numerous national companies in the banking sector and beyond, Visor.ai launches its chatbots in Angola. Learn how our solution will innovate one of the largest Angolan banks.

Fintechs and Insurtechs in the Angolan Banks

The theme of innovation is increasingly present in the financial world. Like other industries, the banking sector doesn’t want to be left behind and is investing in new technological solutions.

Angolan banks want to offer new and better digital services. Due to this thirst for innovation, the terms “Fintech” and “Insurtech” are the trend.

Fintechs and Insurtechs concern companies that offer innovative and digital services to improve and optimize banks and insurance companies’ processes.

These technological companies arise from the need and eagerness of institutions to reduce costs and increase the range of choice while at the same time increasing the competitive dynamism.

Technological Innovation in the Angolan Banks

As could not be otherwise, the adoption of these trends is registered worldwide, more predominantly in America and Europe. But countries on the African continent are following those tendencies as well. This is the case in Angola.

The institution that governs the country’s monetary policy is the National Bank of Angola (BNA) and, in 2019, began a project to encourage banking innovation – its name LISPA.

The Payment System Innovation Laboratory consists of an experimental regulatory environment for fintech. It’s a place of learning where startups and even university students can collaborate and develop projects/ideas related to the Angolan Payment System’s technology.

This type of action benefits both sides. Small technological companies, because they are in the beginning and need incentives and financial institutions to evolve and streamline their solutions to clients.

Technological Trends of 2020

As already mentioned, banking and financial institutions are progressively betting on innovation and dynamization of their services. They aim for easy and wider access by all their clients. Therefore, always offer the best possible service.

Taking into consideration the missions of Angolan banks, there’s a visible inclination to follow certain specialized areas, such as:

Blockchain

It’s a relatively recent concept, created in 2008 and consists of a type of Distributed Database. Simply put, it’s an “account book” that records financial and/or property transactions so that they are reliable and immutable.

In order to reward the financial actors who process these transactions, it’s common to use Cryptomoeda. The best known Cryptomoeda is Bitcoin. However, according to the CoinMarketCap platform, there are currently more than 7000 different currencies (such as Ripple, Litecoin, DogeCoin).

This technology can be beneficial as it increases the security of transactions, creating barriers against fraud. Furthermore, it allows a greater fluidity in the credit system and reduces fees since third parties aren’t necessary.

Big Data

This must be the technology in which banks and financial institutions invest the most, and, as the name implies, it’s relative to large volumes of data.

If you think about it, every day, thousands of users make financial transactions. Deposits, account openings, transfers, investments, the options are almost infinite.

These data can be handy for banking institutions because it allows them to know where they can improve, making their decision-making easier. It also allows them to know the behavior patterns of their customers and their opinion about services and products.

Artificial Intelligence – Chatbots

Artificial Intelligence can greatly facilitate communications between customers and companies and provide support, including Customer Service. This area has advantages in terms of costs. There’s a reduction in costs and an increase in ROI (Return on Investment).

AI generally takes the form of chatbots, and, through them, customers can ask questions and get immediate answers. They’re also widely used to guide consumers in certain processes.

Besides the chatbots, there’re also solutions with AI linked to the companies’ Customer Service emails. For more information, see the article Email bots: How to Automate your Mailbox.

Process Automation – more than chatbots

We separated this point from the previous one; it’s true. You ask why? Well, it’s certain that solutions with AI, like chatbots, are very correlated with process automation. However, some solutions automate procedures and do not resort to Artificial Intelligence. They can be chatbots but more elementary.

To know which type of chatbots best fits your company, click here.

Nevertheless, process automation creates a lot of value for repetitive interactions that do not require human intervention. An example where you can apply this technology is the FAQ (Frequently Asked Questions).

In its databases, any company has the questions that customers most inquest and, consequently, also have their answers. These can be found recurrently on company websites or in their footers. However, it’s hard for the client to have to search for the answer. With a chatbot, this would no longer happen, which increases the level of customer satisfaction.

Voice Interface

Finally, Voice bots. One of the most disruptive technologies associated with voice interfaces.

This option, very much linked to chatbots, is gaining customers’ preference, going beyond telephone and email channels.

Voice interfaces are the ideal option to increase the social inclusion of your services. They can be a benefit to anyone, with or without difficulties.

Both this and the previous technologies meet one of the bank’s missions: to broaden the range of their solutions and products so that they are accessible to everyone, anywhere.

Visor.ai Chatbots debuts at Angolan Bank

One of the novelties of 2020 for Visor.ai and the Angolan banking market was the implementation of LUENA at BAI (Angolan Bank of Investment). This launch was carried out together with one of Visor.ai’s partners. They speeded up the contact between the banking institution and the teams that implemented the solution.

BAI is one of the largest Angolan banks. It won several awards, such as “No. 1 Bank in Angola”, “Most Solid Bank of Angola,” and considered “The Best Bank of Angola” by several financial magazines.

As one of the largest competitors in the financial market, it wanted to evolve and optimize its services. That’s why they bet on a Visor.ai chatbot.

But who’s LUENA?

This chatbot, named LUENA, helps the bank’s customers and potential customers with frequent questions or information about its products. It also facilitates the account opening process and the registration and activation of the BAI Direct service, among others.

Moreover, in more specific cases, when the bot doesn’t know how to answer or if the user so wishes, there’s the Live Chat. Through this option, customers can talk to human agents who will help them resolve their requests.

The implementation of Banco BAI’s virtual assistant was in July in the Facebook Messenger channel. After three months, as it worked so well on the social network, they extended the solution to the institution’s website.

For the future, you can expect new expansions of the automation solution for other communication channels and new functionalities within the chatbot.

The evolution of the Angolan market began. Let’s make your services more inclusive and dynamic. Contact us!

Retail Chatbots How to Easily Automate Your Online Stores
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Retail Chatbots: How to Easily Automate Your Online Stores

The online world is getting bigger, and with more users every day. All industries are investing in Artificial Intelligence, and the Fast-Moving Consumer Goods sector is no different. Learn how you can automate your chain of stores with the chatbots for retail.

Online Retailing

One of the first forms of online commerce was, in 1960, through IBM’s Online Transaction Processing. This technology allowed the processing of financial transactions in real-time.

Companies began to invest in the interactivity of their websites and in more levels of security when it came to transactions.

The Internet has been considered a secure purchasing channel since 1994 when the first mass sales began to emerge. Since then, purchases through the Internet started to grow. From products to services, everything can be bought online today.

Chatbots Are the Solution for Retail

The number of sales in online stores increased dramatically with the 2020 pandemic. People prefer not to leave home and the only way to get the products they need is through the internet.

However, with higher sales volume, there are also more questions from customers.

“I’ve already placed my order a week ago and they haven’t delivered yet. What’s going on?”

These questions are usually sent to the email address of the company’s Customer Service. As a result, like all company procedures at the beginning of the pandemic, it also took time for customers to receive an answer. Now they had to wait for two things: the order and an answer.

Yet, such experiences could be avoided. Companies could provide better customer service if they invested in a chatbot.

Retail Chatbots Analytics

Compared to other sectors, the retail sector has not yet invested much in the chatbots market. Even so, the numbers point out that this will change the next time.

Studies by Juniper Research predict that by 2023 there will be a global investment in Artificial Intelligence by retailers of 12 billion dollars. A substantial increase of $3.6 billion by 2019.

Also according to Juniper Research, sales through chatbots will reach $142 billion by 2024. This represents an average annual growth of 400 % since 2019.

You may think the investment is very high, but comparing the investment and return figures, believe that it’s a good bet. Starting with the increase in sales of your product.

IA Chatbots in the Retail Sector

First of all, a chatbot is a virtual assistant that helps you automate and streamline the recurring processes you have with your customers or even within your company. To know which type of chatbot best fits your needs, click here.

These agents use Artificial Intelligence and Natural Language Processing. Therefore, they can effectively answer the questions that come to your Customer Service, without the need for human intervention.

The more questions your chatbot receives, the more intelligent it becomes. Moreover, with the training you do, it significantly increases its response efficiency. If you want to know more about this subject, take a look at the article AI Trainer: How to Train a Successful Chatbot.

Use Cases in Retail Chatbots

But you ask: “Why would I invest in a chatbot?”

Well, below, we give you some examples of cases where a chatbot can speed up and improve your service.

Personalized Service

On almost all online shopping platforms, you have to make a personal account. In this account, customers enter their details so that they can complete their orders.

From this data (such as name, age group, and location), you can personalize your interactions with the consumer. Always with the proper GDPR authorizations, of course. For example, treat it by name when you send a promotion to the stores in the region you are (if there are physical stores).

Suggestions for Complementary Items

Be it a clothing store, service, or restaurant; there is always the possibility to pair the product selected by the consumer with a few more. That’s when the suggestions come on the scene.

This point relates to the previous, but at the same time, it is independent. The suggestions service is more directed to the client’s choices and not so much with his data, although it can influence the proposed tips.

Accenture studies reveal that 54 % of consumers appreciate receiving suggestions for items complementary to their choices.

Follow-up at All Phases of Purchase

From the moment the customer is looking for a product on the website until the end of the purchase, questions may arise. With a chatbot, instead of the customer being in doubt, you can solve it on the spot at any purchase stage.

Even to solve inconveniences, a chatbot has the answer on the spot. And when it doesn’t know the right answer, it directs it to a human agent.

It’s inevitable that a client more quickly buys products of a brand with a better relationship than one that does nothing to get closer to its consumers.

5 Chatbot Advantages in the Retail Sector

A chatbot can help your company stand out from the competition. At the same time, it shows your consumers that you bet on innovation and want to give them the best possible service.

The implementation of a chatbot in any digital contact channel (chat or email) is an asset because:

  • Increases the efficiency of response
  • Increases the number of online sales – e-commerce
  • Increases the level of customer satisfaction
  • Reduces costs per service
  • Reduces response time

You can also configure your chatbot so that it has the personality that best suits you and fits your brand.

ARA Chatbot – A Real Case of a Retail Chatbot

As you may or may not know, Visor.ai has clients in the most diverse sectors in four continents.

One of Visor.ai’s clients is the Colombian supermarket chain ARA. This company belongs to the international group based in Portugal, focused on the Specialized Retail and Food Distribution sector, Jerónimo Martins.

The chatbot was implemented in the WhatsApp channel of the ARA company, as it’s the communication app with the largest number of users worldwide. However, if you are on your computer and go to the company’s website, you can access the application from your browser.

This Jerónimo Martins chain wanted to innovate its competition and enhance its service, so it invested in a chatbot.

In this virtual agent, the thousands of store clients can clarify doubts, apply for work positions, and have access to news, among others.

Moreover, through a chatbot integration, consumers can receive the nearest stores’ brochures if they share their location with the chatbot.

2020 is the year to start automating your store’s interactions with your customers. Do not waste more time and talk to us!

GALP with a Brand New Internal WhatsApp Chatbot
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GALP with a Brand New Internal WhatsApp Chatbot

Galp now has an internal chatbot on its WhatsApp channel. One of the largest Portuguese gas and energy companies implemented Visor.ai’s solution.

The 300-year-old company is present at any time of our day. When we take the bus or turn on the light at home or work on our computer. We are so dependent on it that without power, our world stops.

Galp is a company with a big weight in our daily lives. For being such a massive company, it has to update itself constantly, both on a sustainable and technological level.

We are all increasingly aware of the environmental impacts we have on the planet. Our ecological footprint and the extreme use of fossil resources are subjects of great concern. However, Galp is aware of climate change. That’s why it has been considered the most sustainable company in its sector in Europe. And the third-best in the world!

Galp Innovating with an Internal Chatbot

Galp also focuses on keeping up with the times and technology, which is constantly evolving. And, in times of pandemic, it had to find a way to get closer to its employees. We must take into account that it’s a Portuguese energy company, but it’s spread over 11 countries and four continents.

In order to always be in contact with all of its workers, it needed to find a solution. That’s when Galp found Visor.ai’s solution: the chatbot. With this option, they could easily help and inform the most distant employees.

The automation technology of interactions allows the company to be closer. This automation can be included in the most diverse communication channels and, in this case, Galp chose the WhatsApp application.

The WhatsApp channel was the most obvious option for Galp since it’s the most used communication application in the world. In addition, all employees have easy access, all they need is a smartphone. Because it is a mobile application, it can be accessed anywhere.

Galp’s Internal Chatbot

Currently, all attention is focused on the fight against COVID-19 and Galp is no exception. To help the community, the company has offered countless resources to health units and school support for distance learning. However, it wanted to do something for its workers as well.

The oil company implemented a chatbot system in WhatsApp to keep its employees informed and safe. This chatbot presents the current infection data depending on the country in question.

Galp is present in many countries. Angola, Guinea-Bissau, and Mozambique are just some of them. For this reason, the employees receive information according to their location.

The Main Mission of Galp’s Chatbot

The chatbot provides information about the disease, daily updates on the status of each region and the company’s contingency plan. But it also provides prevention measures and emergency contacts to support workers.

The Visor.ai platform is low-code and cloud-based. This means that Galp’s team can autonomously manage all bot content. Plus, they can operate it remotely.

Galp now has an official COVID-19 information service powered by Visor.ai. This is an internal chatbot, specifically for employees, with hundreds of users every month.

Be like Galp and communicate with its employees, wherever they are. For more information, contact Visor.ai.

What's the Best Type of Chatbots for your Company
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What’s the Best Type of Chatbots for Your Company?

These days, there is a wide variety of chatbots, some more intelligent, some more simple. The more types of chatbots there are, the more complicated it is to know which one best suits the challenges of your company.

In this article, we show you the different types of chatbots, and you will know which is best to meet your needs.

A Type of Chatbots for Each Type of Challenge

The chatbots, in the era we find ourselves, are already a common element in the sites of our favorite brands.

Companies increasingly bet on digital contact channels. It’s rare to go to a website, and there is no chatbot ready to talk to us.

Studies confirm that 80% of companies in 2020 have or want to have a chatbot for customer support. Also, surveys show that 40 % of companies with over 500 employees plan to integrate one or more chatbots into corporate mobile devices.

The adoption of chatbots by companies is a good sign. It means they care about their customers and want to offer them the best possible service. However, these companies need to know which type of chatbot best fits their reality.

Different Types of Chatbots

There are different types of chatbots, and each one can be defined according to various parameters.

From a corporate point of view, IMB differentiates chatbots according to the functions they entail. They can be Support, Skills-related, or Assistance.

Support Chatbots

As the name implies, they are conversational bots that help on a specific subject, such as information about a company. This type of chatbot is the most commonly used by customer support institutions.

This type of chatbots, as it is used for interactions with the public, must have personality. Furthermore, it’s necessary to know the world to perceive various contexts and perform multiple tasks.

In addition, these chatbots have the ability to guide clients through various procedures and answer a massive number of FAQ-type questions.

Skills Chatbots

These chatbots are more straightforward than the previous ones and are considered “one skill” bots, as they are restricted to specific missions. That is, they have defined certain commands and are governed by them, needing no context.

You can find chatbots like these, for example, at home or in smart offices, where commands like “Turn off the lights” are possible.

Unlike Support Chatbots (which may or may not have), voice functionality is recommended. With this, users do not need to use buttons or devices. Thus, they can perform various tasks while communicating with the bot.

Assistant Chatbots

There is still a bot that stands between the two previous ones and are the Assistant Chatbots or virtual assistants. An example of this kind of chatbot is Alexa.

Also called Voice Bots, they’re the future of chatbots. These chatbots are a combination of the Support and Skills Chatbots.

They have personality, and knowledge of the world, and can perform specific tasks, such as opening the blinds or turning off the light in the room.

The Complexity of Each Type of Chatbots

Although some define the types of chatbots by the functions they can perform, others (and they’re the majority) are ruled by the intelligence that the bot has.

In this case, when one speaks of intelligence, one speaks of artificial intelligence. Human-made intelligence to resemble the behavior of a bot to that of a person.

As you can see from the image, the types of chatbots can be divided by their intelligence. That is, if they are more intelligent and can perform more complex tasks depending on the contexts (with AI), or more basic and stay by the paths they are defined (without AI).

Contextual Chatbots

It is more demanding in terms of techniques to create an intelligent chatbot. These, using Artificial Intelligence, involve more elaborate technologies.

The technologies common to all chatbots with AI are Natural Language Processing and Machine Learning (ML). However, depending on the functions we want them to perform, they can use others such as Computer Vision, more specifically, OCR (Optical Character Recognition).

Contextual Chatbots can improve their responses and interactions with the public through the inputs they receive. The more they interact with customers, the more comfortable they are answering questions.

However, human intervention is always necessary to confirm the learning of the chatbot. In these cases and in cases where the system does not know how to respond, it can train.

In the Visor.ai platform, we have the AI Trainer, a feature where you can train your virtual assistant without difficulty. Learn more about this tool in the article AI Trainer: How to Train a Successful Chatbot.

Chatbots based on Keywords

Chatbots based on keywords are exactly what the name indicates. Although they have Artificial Intelligence, the processing of the requests they receive is based on keywords.

This type of chatbot is more suitable for companies/businesses with a lower volume of contacts. In these, the requests are not so much of problem-solving, but quick doubts.

The AI used in these chatbots is more rudimentary since the processing is based on specific words from which the answers result.

Chatbots based on Menus/Buttons

These chatbots have no Artificial Intelligence and are the most basic type of bots. Their “knowledge” is based on tree hierarchies, where users choose the option they want.

Because they do not have AI, they aren’t able to answer questions or requests from customers that involve more detail. It is the user who has to make the selection of the information until they get the final answer.

There are still other authors who define the type of chatbots as simple (no AI), smart and virtual assistants. In the end, the definition of each is the same; only the names change to distinguish them.

How to Know which Type of Chatbot is Ideal?

Now that you know how to define the different types of chatbots, you can decide which one best fits your needs.

Therefore, before making any decision, you need to consider the following five factors:

1) How big is your company?
2) How many contacts do you receive per day?
3) In which channels do you intend to integrate the chatbot?
4) What are the needs of your Customer Support team that you want to see optimized?
5) What services will chatbot provide to your customers?

Some factors, like the contacts you receive per day, are very relevant for the selection of your chatbot.

Usually, from the number of contacts, you can understand the size of the company and its impact. More prominent companies will have a more significant number of customers and greater affluence to their Customer Support services. Therefore, they need more complex chatbots, in more contact channels, that can solve more detailed requests.

Smaller companies with fewer contacts probably don’t need such complex chatbots and can work well with the simplest ones.

Only after answering these questions will you find the ideal type of chatbot for your company.

If you still have questions and want to know more information, contact the Visor.ai team. We will be glad to help you!

How Important is Linguistics in Your Chatbot
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How Important is Linguistics in Your Chatbot?

Chatbot use is a growing trend in all industries. However, although we know they are robots, we want them to talk to us as human beings would. This is where Linguistics comes into play.

In this article, we will show you how Linguistics can improve and make your chatbot more human-like.

The Purpose of Chatbots

A chatbot (conversational agent or dialog system) is a computer system that operates as an interface between humans and software. This communication happens through spoken and/or written language (Galintsky 2019).

A chatbot with Artificial Intelligence allows a conversation identical to that which two humans would have. A running dialogue from which each person can give and receive information in an intuitive and natural way.

Companies are increasingly using conversational bots to optimize their services, whether for internal or for customer support. They automate specific processes in a fast and straightforward way, not letting it appear that it’s a robot.

However, the focus of these virtual helpers isn’t to make users think that they’re talking to a human because, although evolved, they still have their limitations.

Their goal is to respond as intelligently as possible. For this to be possible, Chatbots must have some knowledge of the natural language used by people.

What is Linguistics?

Linguistics is the science that studies human language. That is, all the languages used by human beings.

Human language allows for the creation of countless enunciations from a finite set of elements, such as grammar rules and symbols (alphabet). However, some languages only have a spoken system, and these elements can be dispensable.

Even if, on a general level, we think that speech and writing are on equal footing, this isn’t entirely true. Oral language is the center.

Speech, according to Chomsky, is an innate and universal capacity, which means that from the moment we are born, we begin to process the inputs that we capture around us, the so-called “universal grammar“.

Writing, on the other hand, is a recent invention, having little more than 5000 years. The written language born from the need to record what was expressed verbally. It was from this need that we invented and stipulated rules and symbols that are so banal to us nowadays.

NLP: The Chatbot Linguistics

There’s a part of the technology that relates to Linguistics, and it results in computational rules for the processing of human language. This discipline, which involves Artificial Intelligence, is Computational Language, or, more recurrently, Natural Language Processing (NLP).

It’s through these computational processes that systems acquire the ability to recognize and produce information presented as human language.

Still, it isn’t enough to give grammar to the system and tell it that it is “like this.” It must be able to learn and train. Therefore, whenever we talk about NLP, we associate it with Machine Learning (ML).

ML is, very briefly, what allows the system to read the algorithms and improve its knowledge automatically. In other words, just like us, the more we study and practice, the more fluent we become. The same happens with chatbots.

3 Essential Linguistics Concepts in Your Chatbot Development

Some of the goals of virtual assistants are avoiding pre-defined options and understanding what is asked.

A chatbot can follow the paths, but it will only succeed if it can understand what you said to it.

We want to talk to a chatbot, but without it sounding like a robot. For that, it must have the knowledge and processing of the language.

There are three linguistic concepts that are essential in the development of your bot:

Syntax – the area of Linguistics that studies the structure of the language, that is, the order of the words, in order to obtain grammatical results.
Semantics – the area of Linguistics that studies meaning. That is, it is concerned with the meaning of words and, consequently, enunciations.
Pragmatics – the area of Linguistics which is in charge of studying how context and shared knowledge influence the meaning of a statement.

These three points are essential because without Syntax and Semantics your chatbot would not be able to process grammatically the sentences you are told. Furthermore, without the pragmatics, the bot would not be able to understand what the user was saying, because it could not fit into a context.

In other words, if I told the chatbot “give me a hand”, the latter having only syntactic and semantic knowledge, he would understand the literal meaning of the sentence. However, with the addition of pragmatic knowledge, the bot understands that the user needs help and not a hand, literally.

Increase Your Bot’s AI on the Visor.ai Platform

The Visor.ai platform has some tools that help increase the Artificial Intelligence of your chatbot, namely, the AI Trainer.

In the AI Trainer is where you can, as the name indicates, train your bot. You can find out more about the topic in the article AI Trainer: How to Train a Successful Chatbot, but briefly, is where you teach the system when it had doubts or could not answer the customer.

In addition to the AI Trainer, where it teaches the bot to connect each new user say to their respective FAQ, Visor.ai is launching new tools that facilitate processing and make customers more autonomous.

The New Visor.ai Tools to Improve Your Chatbot

It may seem that the tools we’re about to talk about next have nothing to do with language processing, but they do.

They aren’t at such an elementary level as teaching Syntax and Semantics and saying that “house” is a name and “want” is a verb, but they act on a more complex level. A level in which we have to teach the bot, in a way, our knowledge of the world.

FAQs Hierarchy

The FAQ Hierarchy tool allows you to simplify your users’ way. That is, imagine you work in a bank, and a user goes to your company’s chatbot and says he wants to open a savings account.

Before, what happened was the bot understood that you wanted to open an account and send you an answer that contained all the options, i.e., current accounts, savings accounts, etc. With this new tool, that no longer happens.

In Visor.ai Back Office, you can define that the “Savings Accounts” FAQ is below the “Opening Accounts” FAQ. Thus, when a client requests information about savings accounts, he directly receives information on the subject.

This process increases your chatbot’s efficiency quite a bit because it shortens its processing time.

FAQs Conflicts

There are moments when even we humans have difficulty understanding a sentence because of its ambiguity. The same goes for chatbots but regarding other points.

First, we have to consider that a chatbot, when processing a sentence, eliminates all the information considered unnecessary, that is, determinants, prepositions, adverbs, among others. Thus, what we read isn’t the same as what a chatbot processes. Take a look at the examples:

What a human reads: “Good morning! I want to open an account for my daughter.”

What a chatbot reads: “want open account daughter”

This exclusion of particles of the phrase that are “irrelevant” and only delay its processing causes the so-called “conflicts” because the user says will link to the FAQ depending on the words they have. So, if two FAQs have the same “keywords,” the system will enter in conflict, without knowing which one is the most accurate.

This new tool Visor.ai will allow you to solve these conflicts autonomously. You can then:

  • Merge FAQs. Imagine that you have two very similar FAQs and that the answer is almost the same. If you want, you can merge them, leaving only one FAQ in your knowledge base, with one response, and all the user says that were in the two previous ones.
  • Solve conflicts. To solve conflicts, you have various solutions. You can, for example, delete the problematic user say, eliminating, therefore, the issue.

Intents and Entities Manager

The Manager of Intentions and Entities also acts at the level of processing users’ requests but works in the discrimination of intentions and entities.

For example, “I want to see the account statement of the 27th of the account number 1234 5678 1234 5678 9”.

With the knowledge the bot already has, it knows that the intention is to see a bank statement. However, there is information that converges this intention to something more specific, like the day and which account.

In this tool, you can define and teach which intentions and entities contain each user’s say. This way, when identical requests happen and don’t have the entities filled, the bot will ask for them automatically.

IntentEntity 1 – Account numberEntity 2 – Day
See account statement1234 5678 1234 5678 927
A theoretical example of the discrimination of intentions and entities of a request.

These new tools work on different factors, but all of them increase the intelligence of your bot, making it faster and more efficient.

In short, without language knowledge, you cannot have a chatbot that fulfills your goals and that has a natural conversation.

If you want to know more details about the new Visor.ai Platform improvements or have any questions about our native NLP, don’t hesitate to contact us!

How to Turn Boring FAQs into a Dynamic Chatbot
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How To Turn Boring FAQs into a Dynamic Chatbot

We’ve all been through the experience of going looking for FAQs on a website, just for the fact of not wasting time on the phone or wait days for an email response. If every site had a chatbot that answered instantly, everything would be easier and more convenient.

Boring FAQs

Whichever product you sell or sector you fit into, your customers will always have questions to ask.

Some more frequent, some less frequent. Some more complex, some less complex. Even so, all worthy of an answer.

It was by thinking in the most common questions and a way to facilitate their answers, without blocking the contact channels of companies, that FAQs (Frequently Asked Questions) appeared.

When people buy a product and have some questions about it, they mostly use the company’s website and, more specifically, the FAQs page.

The FAQ page is a kind of archive that encompasses all the questions and answers that are most frequently asked to companies. Whether about the product, payment or shipping methods, security policies or about exchanges and returns, all the answers are there, usually organized by theme and in listing.

Although they’re useful, these lists are, in my opinion, very long. For customers to find their answer, they have to go through all the others that don’t interest them.

But if there’s a more efficient and simple solution to use, why not implement it?

FAQ Automation through a Chatbot

In a world where “instantaneous” is the word, chatbots are the best option to help you in any field. And, in this case, to give answers to your customers’ questions.

Chatbots are virtual assistants that help you find solutions. They’re also the most dynamic and pleasant way to provide the information your customers need.

They no longer have to search the FAQ page (which is often not very visible) or go through numerous topics before they get to what they want.

With a simple question to the bot, you get an answer in less than a second.

Artificial Intelligence on your FAQs Chatbot?

You can have the automation of your FAQs without resorting to Artificial Intelligence. However, this isn’t very beneficial for you or your customers, and I’ll tell you why.

Without AI, chatbots are basic and without personality. AI is what enables your chatbot to be charismatic and to answer non-standard questions. A “non-intelligent” chatbot can’t answer you if what you asked doesn’t correspond with the paths that were defined.

An intelligent chatbot can give you a solution even if your question is not in its knowledge base.

We call all the data that has been given to it so far “knowledge base.” That is all possible variations to ask a question, all existing synonyms for a word, etc. Essentially, all the knowledge it needs to “understand” a person’s request.

Your bot’s knowledge base will never be fully complete because there are always new ways to ask. Still, by using Artificial Intelligence, your chatbot will know how to relate what you have requested with the data it has and give you the right answer.

However, like on the FAQ page, if the client doesn’t find a solution, they’ll always talk to a human assistant. The same happens with chatbots. They’re quite useful and efficient, but there will always be cases where human help is indispensable.

Good for the Client and Good for the Business

You may think that this automation solution won’t bring you great value, but you’re wrong.

Both you and your customers, both parties will benefit from this implementation.

For your customers:

  • Receive a personalized service
  • Get answers faster
  • 24/7 support
  • Increases user satisfaction and experience
  • Autonomous problem-solving.

For the companies:

  • Increases the productivity of your customer service workers
  • Offers a more efficient and interactive service
  • Improves the AI and natural language processing of your chatbot
  • Reduces contact center costs.

FAQs Chatbot and Much More

Besides being a great way to answer your customers’ most common questions, chatbots are very useful in other areas.

Data Collection

Your chatbot can be a fantastic way to get to know your audience, without having to make an inquiry (which, let’s be honest, nobody wants to answer).

Product Advice

Based on the data of each consumer, the bot can cross this information with that of your company’s products and advise which is the best option.

Marketing Campaigns

You can also, through your chatbot, send advertising campaigns to your customers and inform them of the latest news.

To learn more about this possibility read the article Broadcasts and Triggers: How to Sell with Your Chatbot.

Leads Generation

With your chatbot giving information about your products and how they can improve the lives of your customers, many will want to join. In such cases, automation and information gathering are the beginning of a new partnership.

Customer Retention

Often, there is an abandonment of services because customers simply don’t feel heard or taken into consideration.

Through your chatbot, you can send follow-up messages and find out how users are doing after the resolved case. This way, you show that your brand is interested and concerned about its customers.

What Are You Waiting For?

The new Market Research Store report states that the chatbot market will grow 31% by 2025. This growth means that many companies will invest in this automation solution.

Regardless of your industry, if you have a large or medium-sized business, Visor.ai can help you implement a dynamic and highly efficient chatbot for both customer and internal support.

So, don’t wait any longer and let the competition get ahead of you! Contact us, and we’ll evolve together!


Design: Marta Ramos; Text: Filipa Perdigão

Chatbots in Banking
Articles

Chatbots in Banking: A Big and Bright Future

The technological expansion and the contemporary market force industries to evolve and update their ways. Banking is no exception and is one of the most developed sectors and avid for technological solutions. In this article, we show you what the digital transformation can do for the Banking sector, the visible benefits of those who have already bet, and some future use cases of chatbots for banks.

Digital Transformation

The first thing we do when we wake up is look at the phone. Many find it a terrible habit; others find it necessary. However, it’s still a consequence of the times in which we live.

We have the need to connect with the world, and the fastest way is through our phones.

According to Eurostat, after viewing emails, replying to messages, and keeping up to date with the news, access to Internet Banking is at the top of activities. In addition, more than half of the European population (58%) uses online banking platforms.

Putting this into perspective and taking into account the receptivity of these innovations, it’s not so strange that banking wants to evolve at a technological level and provide a better experience to its customers in this sense.

Internet Banking and AI Chatbots

Before we were facing a global pandemic, most banks had already online platforms and non-presential customer service.

With the need to stay at home, the digital channels that once had regular affluence suffered a turnaround. The use of these means increased exponentially and companies had to quickly adopt solutions that improved and made all processes more efficient.

It was then that many financial institutions began to look for solutions with Artificial Intelligence. Based on remote interviews with banking executives, 77% state that the use of AI will be the differentiator between “the winners and the losers.”

3 Use Cases of Future Chatbots in Banking

Technological trends are changing every day, and the needs of users and companies are also changing.

“Enough” doesn’t make it anymore. We need more. It’s crucial, and customers demand not going to the branches of their banks to resolve issues of their day-to-day, which would quickly be addressed through a chatbot.

The following use cases may seem distant to you, but with the launch of PSD2 (Payment Services Directive), believe me, they’re closer than you think.

1) Opening Bank Accounts

“I want to open an account!”

This simple request is the beginning of a process that would tend to be very complicated, time-consuming, and full of unnecessary interactions.

Nowadays, to open a bank account, the best option is still to go to a branch and deal with the whole process in person. It’s true that some banks already allow you to open an account remotely. However, it still forces the user to take different steps and processes separately and always with the help of an employee.

The need to involve a human assistant often occurs at the request of regulators, but this will be another field that will undoubtedly evolve in the future.

With the digital opening of accounts, through a chatbot or other conversational channels, this process can be carried out fully automatically. However, it doesn’t dispense with human intervention whenever necessary, to offer the best possible customer experience.

“To proceed with the opening of your account, we need you to send us proof of residence.”

When it’s necessary to submit documentation, such as an identification document or proof of address, these documents are first processed by an automatic system that not only recognizes the paper and the various text fields but also verifies whether they’re reliable or not.

“We’re almost done! We need to make a brief video call with you to validate your data. Can we proceed?”

If there is a need to make a video or phone call with a bank assistant, the chatbot itself will do it. This way, the calls occur within the chat itself, and the customer doesn’t have to change the channel.

This possibility of contacts within the chatbot significantly reduces the abandonment rate in the middle of the process.

“It follows the account opening document for your validation and signature.”

Finally, the customer digitally signs the document, and without any problems, concludes the process.

Robust and increasingly evolved authentication systems support all these steps, and we are far more secure than current methods.

Biometric Authentication and Digital Signature

There are several ways of authentication, depending on the customer’s preference and the desired degree of security.

Within the numerous forms of validation, we highlight the following. These can coincide and be in the different phases of any procedure.

  • Digital signature – there’s a cross of information between the signature done and the signature of the identification document provided by the client.
  • Biometric data, such as fingerprint, iris, facial or voice recognition. This data is easily cross-checked with the customer’s data, without additional actions.

2) Transactions and Personal Finance Management

“I want to transfer 10 euros to Maria Rodrigues and cancel the debit on the 28th.”

Clients can also perform operations and manage their finances. All this through chatbot, written or by voice commands.

Automatic speech recognition technologies such as Speech-to-Text (STT) help in the processing of voice requests. Additionally, it involves customer information present in their profile, namely their contacts or frequent operations (such as transfers).

With this type of solution, Banks become more and more involved in their clients’ daily routines. This way, they become a real helper in personal finance management.

“You’ve just received your salary! Can I already pass 10% of the amount to your savings account? Remember the old maxim: “Don’t save what’s left after you spend, spend what’s left after you save” Warren Buffet.”

The chances in this field are wide and the imagination is the limit. Whatever use cases your Bank wants to implement, Visor.ai team will be fully available to make it a reality.

3) Credit Requests

Another occasion when it’s necessary to spend a lot of time going to branches is in credit requests or similar. These are lengthy processes involving many paper signatures and documentation deliveries. However, this is a thing of the past.

From now on, it will be possible to simulate and define the credit you want, submit the necessary documentation, and sign the contract without leaving home (or whatever the place).

Imagine the process of buying a house. Those who have been through it know that it can be quite frustrating, especially when there’s the need to resort to home credit.

“I want to buy a house, and I want to know if your bank can lend me the money I need.”

Then you start the process of applying for a home loan.

“Surely! Can you give me more information about the house you want to buy? To make it easier, send me the link to the real estate agency”.

By sending this link, it can automatically collect the relevant data, such as:

  • Location of the house – from which it’s possible to access a database with the average values per square meter in that area;
  • Size of the property, characteristics, and state of the property – to facilitate comparative analysis with other similar properties;
  • Value requested by the seller – to take into account the bank valuation that will be processed later.
“The location looks great! And what loan amount would you need?”
“In the meantime, I already made an offer for a lower amount than accepted, and the current owner agreed. I’ll need 200,000 € in the financing, and the total purchase amount will be 300,000 €.”
“What a good deal! Could you please provide us with your last payslips as well as your tax return so that we can analyze the operation?”

As with the digital account opening, all you have to do is drag these documents into the conversation or send them through another channel supported by the Bank. The documentation is then attached to the operation and processed both automatically.

“Taking into account the data you gave us, the Bank can ensure your financing! However, only after the Bank has made a valuation of the property, can we issue a final decision. Can we proceed with the valuation?”

Once the property evaluation report is ready, the Bank notifies the client to proceed with the process.

“Once we gather all the elements, you’ll have the Bank’s approvement!”

Perspectives for the Evolution of Visor.ai Solutions

Our product development roadmap is hugely ambitious and aims to give our customers even more functionality. We aim to provide a better level of service to our users.

Therefore, our team does not stop and is already preparing new surprises that will be released soon!

Voice Channels in Banking Chatbots

Visor.ai automation solutions already have STT technologies, in our voice bots, which allow the passage of commands from voice to text. Also, user authentication based on their voice will soon be possible.

In parallel, the chance to transform a chat conversation into a VOIP call with an assistant will be a reality. As well as the automatic transcription of conversations, in order to allow better quality control.

The natural IVR is one of the next steps too. This will allow the bot to automatically answer simple questions by voice commands. This has been one of the most requested features, especially by those in the banking sector!

We’re already preparing this launch together with a partner company specialist in the subject.

Automatic Document Processing

OCR (Automatic Image and Document Processing) and Computer Vision are innovative technologies that, applied in the indicated contexts, are a huge asset.

In our chat and email bots, it’s now possible to extract value from these technologies and automatically process a series of standard documents.

As the next steps, we want to allow our customers to control all this directly in our back office!

To do this, we’ll provide a feature called “OCR Trainer.” In this feature, simply and intuitively, you can “teach” the system to recognize new documents. It will also be possible to consult and edit the documents already processed.

Banking Chatbots: More Intelligent and Less Artificial

Currently, we have one of the best Artificial Intelligence for processing the Portuguese and Spanish languages. This system allows us to automate at least 70% of our customers’ interactions. However, we want to go further.

We want our clients to offer a service of excellence, and to provide even better user experience, both for users and customer support staff. Therefore, we’re developing processes that improve our AI, such as:

  • FAQ’s Hierarchy – an excellent way to disambiguate similar requests and position them at a more detailed level. In other words, when a client asks to open a Company Account he’s no longer referred to the general FAQ about Accounts, but to the specific one about “Company Accounts”.
  • FAQ’s Conflicts – it is common to have similar expressions within questions with disparate answers. With this feature, it is clear what those cases are and, in a simple way, you can correct the situation.
  • Autonomous Management of Intentions and Entities – Although these features are already working successfully through the “Integration Hub”, it will soon be possible to manage them fully in our back-office and without requiring any further integration or development.

Natural Language Generator

We’re working on the creation of a “Natural Language Generator (NLG)”. This generator will allow the system to suggest the creation of answers, according to human interactions that occur between the assistants and the users. Thus, it speeds up and facilitates the maintenance of the chatbot knowledge base.

Besides, we’re developing models of cognitive analysis. These models will allow decision-making based on predetermined rules by our customers.

We cannot forget that our system is all modular, and the AI engine is no exception. Because of this, we can integrate with any solution that exists in the market.

Omnichannel = Convenience

So many times, it happens to call the contact center of a company, and, to complete or verify a process, you have to send documents. Therefore, you have to send them an e-mail with the necessary documentation and repeat the whole process you had done over the phone.

Far gone are the times when the Visor.ai platform could only integrate with chat channels. With the integration of the various digital contact channels, it will no longer be necessary to keep repeating your request.

If you are on the phone and happen to have to send the documents by email, the assistant will quickly have access to them, and they’ll be right away integrated into your process.

From the moment your process enters the system until it ends, no matter by what means you contact us, all channels will be connected and will be able to answer your requests.

For contact center assistants, they’ll have an integrated back-office for the various contact channels. There they’ll be able to easily pass conversations to other departments, migrate from one channel to another, and even gain “superpowers” to help users through the new co-browsing functionality.

Co-browsing consists of the ability to use a video call within the chatbot to share your screen with the assistant who helps you.

For more information, contact us or stay tuned for our news through our LinkedIn and Facebook!

Email bots_ How to Automate your Mailbox
Articles

Email Bots: How to Automate Your Mailbox

Email bots are Visor.ai’s new product solution. It’s another option for automation interactions between companies and customers. However, it’s present in the mailbox of your Customer Service.

It came to the public at the beginning of 2020 and, like chatbots, uses Artificial Intelligence.

Tranquilidade is one of Visor.ai’s largest customers. When they heard that we were expanding their solutions, they immediately wanted to be part of this new stage.

The insurer knew that the solution was at an embryonic stage and that it would need improvements.

Since the chatbot worked so well, on both the website and WhatsApp, they weren’t afraid and were excited to invest in Visor.ai solution once more.

That’s how the pilot project came about in partnership with the Portuguese insurance company.


If you are interested in this topic, we also suggest you download these ebooks:


Chat and Email bots: Differences between Channels

The two great forms of written contact with Tranquilidade are through chat and emails.

The insurance company receives about 6000 contacts a month through the chatbot and has an efficiency of automatic responses of around 70%.

In addition to these requests, it receives thousands of emails every month in its mailbox from the most varied subjects.

However, each channel has its specific type of information.

In chat, the questions are more direct. They are more general information requests. In other words, customers or potential customers ask questions about insurance, such as how to join, the coverage of each plan, etc.

In the email, the questions involve sending more specific documents and queries. Usually, contacts are made by insured people or companies, clients who wish to change personal data or the insurance policy (which requires proof), or report occurrences (car accidents, for example).

The Technologies behind Email Bots

Both chatbots and email bots are directly related to the written language.

For the bots to respond, it’s mandatory for technologies to process this kind of language.

It’s necessary to employ areas of Artificial Intelligence, such as Natural Language Processing (NLP) and Machine Learning.

For Text

The NLP is concerned with the interactions between humans and machines, namely, problems related to understanding human language. In this case, the written inputs.

On the other hand, Machine Learning is in charge of “teaching” the computer how to make accurate predictions from previously acquired data.

The key to Machine Learning is the size of the database. The more examples there are, the easier it is for the bot to recognize certain types of elements and then respond.

These two subjects are essential for discrimination in writing. However, in emails, document attachments are often received.

For Images

For the reading of documents, the Computer Vision technique is used, commonly called OCR (Optical Character Recognition).

This technique allows the system to recognize images and videos and turn them into code that the computer understands.

By recognizing characters, it’s possible to train the bot to perceive a pattern and recognize a document type. This training guarantees a high level of image identification.

Imagine that you teach your bot what an Identity Card (ID) is. You show it what the characteristic elements are and fill the database with numerous examples.

When your system receives an ID, the computer crosses it with the information you gave it and then recognizes that specific document type. It can even extract identifying elements, such as the ID number or the person’s name.

With these three technologies, your email bot identifies your clients’ requests and the attachments they sent.

Email bots and Other Systems

Salesforce is a CRM (Customer Relationship Management) solution that allows all departments of a company to manage their customer relations.

In this case, Tranquilidade uses Salesforce to handle incoming emails, so it was essential to have access to the whole process.

Visor.ai, by offering a very adaptable and scalable solution, has easily integrated its bot into Salesforce.

The integration of the email bots was carried out directly in the insurance company’s mailbox and Salesforce. Thus, it’s possible to feed the bot with real and up-to-date information, always considering all the security procedures and data confidentiality of the insurer and its clients.

In this way, it was possible to reach the focus of this project: to automate the processes of email sorting between the company and its customers. Namely, to which category the email belongs, if the attached documents are necessary for executing the request, among other actions.

Email bot Expected Results

Tranquilidade has now part of the email handling automated.

In this first stage of the launch, it starts with the processes of opening car accident claims, change of IBAN, and request for the issuance of letters to the Statutory Auditors.

However, there are already prospects of extension to other processes and email channels.

This new solution is also an excellent help for customer service assistants in sorting requests.

Instead of receiving the emails in a random and uncategorized way, they have immediate access to filtered cases by category. This categorization allows not only automatic processing but also internal routing of claims to the departments responsible for each type of request.

The automation of interactions brings impressive results to companies that have large volumes of standard emails. That is repetitive emails where the response or resolution process is always the same.

This solution doesn’t intend to reduce the number of contacts with the insurance company. But rather to reduce the process until the queries reach the indicated department.

Tranquilidade still has thousands of contacts in its electronic address. But now has a more automated and less time-consuming treatment for its employees.

This way, it increases the productivity of your team and the resolution time for each case. It also provides a better service and increases the satisfaction of your customers.

Conclusions

At this moment, the email bot of Visor.ai performs the following procedures:

  • Reading the subject and text in the body of the email
  • Reading of attached documents through the Optical Character Recognition System – OCR
  • Automatic responses with requests for missing documents needed for a given action
  • Categorization of emails according to subject and forwarding to the correct department.

The automation of emails meets Visor.ai’s goal: to offer an increasingly robust, multi-channel solution.

Our mission is to put an end to repetitive interactions and tasks that can be programmed. Thus, your customer service team has more time for more complex problems.

If you are interested in this new automation option, don’t hesitate and contact us!

 

Get Better Results with WhatsApp Chatbots
Articles

Get Better Results with WhatsApp Chatbots!

Chatbots are the most obvious solution for companies that want to optimize their Customer Service. Also, if they’re in WhatsApp, the world’s most significant communication app, it’s even better.

In this article, we show you how companies triple the conversational traffic when they invest in this digital channel.

WhatsApp Chatbots as a Channel between Companies and Customers

WhatsApp has been one of the conversational applications that managed to stay close to the top in the last ten years.

We’re in a world where the supply of similar products is enormous, and to be among the first is an achievement.

To get to the top, companies must comply with what users are asking for, no matter what industry.

That’s why WhatsApp is the most widely used application in the world because it meets the most appealing requirements:

  • It’s a free app;
  • It has no advertising;
  • It’s easy to use;
  • It has messaging encryption.

Facts and Statistics

To get a sense of how big WhatsApp has become, we show you some facts and statistics:

  • It’s the most popular mobile messaging app in the world (Statista)
  • Registers about 2.7 billion users per month (Statista)
  • Almost 60% of users consult WhatsApp more than once a day (Statista)
  • Three million businesses use WhatsApp to contact their customers (Business of Apps)

Contact Center Studies

WhatsApp was once seen as a private conversational channel where people communicated with friends and family.

Now it can be the fastest channel for your company to reach customers, making your relationship closer.

According to studies in contact centers, about 77% want to use digital contact channels such as chat, virtual assistants, and social networks in the future.

Also, 62% want to invest in solutions based on Artificial Intelligence.

These investments in digital channels with AI are directly related to companies wanting to improve the customer experience, reduce costs, and improve the performance of their employees.

Reasons to Invest in WhatsApp Chatbots

Your company can take advantage of it because it is the world’s number 1 messaging application.

It’s nothing new that companies are increasingly customer-centric and concerned with offering the best possible service.

By integrating a chatbot into WhatsApp, you can get closer to your customers, get near to their issues, and take advantage of that information to benefit them.

Use and abuse this digital channel to offer a self-care experience. That is, where, with the help of a bot, clients can solve their problems for themselves.

Furthermore, it shows that it’s a company that bets on technologies and innovations. Taking into account that customers are more and more eager for technologies, it only adds points in your favor.

With this channel available to everyone, it quickly reaches a broader range of customers and potential customers.

Adapt to your Audience

Younger age groups don’t use as much as the elder groups channels like Facebook Messenger or the brands’ website. They’re more attentive to alternatives and where they spend most of their time.

Since Instagram and TikTok aren’t messaging applications, WhatsApp is the channel to consider.

Another added value of this channel is the possibility of voice messaging. This option is in line with the new Visor.ai tool – the voice bots.

This new Visor.ai solution allows customers to expose their requests and questions through voice commands. It’s an excellent option for those who are given multi-tasking and don’t want or can’t use their hands.

Results of the Ones Who Already Use this App

Visor.ai first implemented its chatbots on its customers’ websites and Facebook Messenger. However, since the end of 2019, it has seen the advantages of integrating its solution into WhatsApp.

Since that time, we saw the gains that this implementation brings to businesses.

Although these companies already had chatbots on other channels, the addition of the bot in WhatsApp has moved them from tens of thousands to hundreds of thousands of contacts!

They tripled the number of contacts in a few months of integration!

Therefore, these figures only prove what was said earlier. Customers need innovation and ease of contact wherever they are.

That’s what customers want, so it’s worth a bet!

There are even companies that only use WhatsApp as their only communication channel. An example of this is the FOX channel case, with the “Estreia-te” campaign.

Through their WhatsApp channel and the help of a Visor.ai bot, they’ve broken records and got the biggest advertising campaign ever!

At the end of the campaign and to select the next voices to promote the channel’s series, they registered about 60,000 submissions from tens of thousands of contacts. All this in three months of action!

Visor.ai Chatbots in Your Company’s WhatsApp

Altogether, whatever the sector, proximity to customers is a factor that should be intrinsic to any company.

That’s why you should bet on Visor.ai’s solution and automate the most frequent interactions of your Customer Service.

Besides, by dividing the contacts by the different channels, you get service without disparities. That is, if you have a chatbot on all communication platforms, you offer a smooth service without discrepancies.

As we mentioned before, Visor.ai chatbots can be implemented on any platform because it’s a modular and easily scalable solution.

In the Visor.ai platform, you have the possibility, without needing specific knowledge, to customize your bot. You can give it if you wish a different profile and conversational design depending on the contact channel.

Imagine, on the website, you have one personality, and you respond in a certain way, and on WhatsApp, you have another. It can be an option if you have different age ranges depending on the channel. But to know that, you need to check with your customer collected data.

These are all possibilities that you can define in our cloud-based Artificial Intelligence platform.

Come and find out more about this innovative channel and the different tools that the Visor.ai platform provides!

Contact us at info@visor.ai.

voice bots - ai solution
Articles

Why Voice Bots Are the Most Exciting AI Solution?

Voice bots are the new trend, and Visor.ai could not miss the opportunity to innovate its AI solution. Our automated chatbot interactions have evolved and now include voice commands. Curious? To learn more, keep reading!

Voice Bots: Chatbots or Virtual Assistants?

You’ve undoubtedly heard of Siri, Alexa, or Google Assistant. These three are the most popular virtual assistants on the market. Before we dive into the world of voice bots, you need to know what virtual assistants are. In fact, if you think chatbots and virtual assistants are the same things, you are wrong! To start with, they’re both applications in the field of Artificial Intelligence (AI). Moreover, they’re used for process automation in companies. Perhaps because they have these similarities, they’re confused and given as the same thing. However, there are differences.
On one hand, there are chatbots.
In general, they are used by companies as interfaces for collecting information because they’re seen as tools to improve customer support. Users have questions about a product, and the chatbot automatically answers them through the know-how that has been instilled in it.
On the other hand, virtual assistants.
They help you with everyday tasks, usually through voice commands. You can ask them to schedule a meeting or even point out notes for a work presentation. If you think about it, they’re similar to human personal assistants, but without the human part. In addition to these small tasks, intelligent virtual assistants can access information from the cloud to answer your questions. Imagine you want to know when the next flight to the Maldives leaves. Well, ask your virtual assistant, and it, with the information collected from the cloud, will answer you. Now that you know the difference between chatbots and virtual assistants, it becomes easier to understand what voice bots are.

What Are Voice Bots Really?

If you consider the already mentioned characteristics of chatbots and virtual assistants, you can say that voice bots are a fusion of both. Voice bots have the voice of virtual assistants but retain the functions of a chatbot. They’re chatbots, like those used for customer service, but have the audio option. In other words, instead of writing, you can talk, just like you do with virtual assistants. This way, interactions become even more dynamic and instantaneous. You have to consider that, when writing, people are much more careful, and in speech, they’re more carefree. All the peculiarities that you already had in your database concerning language now increase with the specificities found in speech.

The Statistics that Take Us to the Voice Bots

Nowadays, smartphones can compete a lot with computers, which can be seen in the traffic, which is increasing in small devices. In 2019, according to Quoracreative, 80% of users preferred to do mobile phone searches. It’s a more practical means when compared to PCs because it is entirely portable and easy to carry. It’s always at hand at any time. In addition to the majority of users using a mobile phone, other surveys show that 46% already use voice-based solutions and that the trend is to increase to 50% by 2020.

With this new technology, you can, with voice commands alone, make requests and questions to virtual assistants. In return, you receive the desired answer, which can be in text or audio.

The high uptake of this type of technology may be because it resembles so much a typical conversation between two people.

Additionally, the “hands-free” factor can also play a lot in your favor. That is, being able to perform other tasks at the same time.

Technologies Used in Voice Bots

The technologies used depends on the type of voice bot you have. Some involve more steps than others, depending on what you want them to do.

The process carried out for the conversion from oral to written speech, at first sight, is relatively simple.

Shortly, the bot receives audio input, converts it to text, and the AI does the treatment. However, behind this process, many technologies are involved.

Let’s start with the reception of voice commands.

Visor.ai, through the tireless work of its team, uses Google’s Speech-to-Text tool. In short, it converts the audio files in real-time and turns them into text.

After having the messages in text, the AI starts working.

At this stage, the native technologies of Natural Language Processing and Machine Learning come into action.

They’re considered native, as they were assembled by Visor.ai to meet the requirements imposed and adapt better to customers.

Artificial Intelligence makes the reading and analysis of the stimuli and then runs them through the knowledge base.

Once everything is analyzed, the answer is found and the bot sends it to the user.

Without these technologies, it would be impossible for humans to talk to machines.

6 Reasons to Have Voice on Your Chatbot

Speed in Interactions

The interactions between clients and companies are faster because touch is no longer needed. In other words, writing or clicking buttons is no longer necessary.

Innovation that brings Customers

Improving your chat solution makes your product more competitive in the commercial market.

The most innovative products, as a rule, always generate curiosity. Consequently, this curiosity brings more potential customers to your company.

Increase the Artificial Intelligence of Your Bot

People, when they talk, aren’t as careful as when they write. This carelessness leads to new ways of making requests/questions. Therefore, the size of your knowledge base increases.

The higher the diversity of commands your bot analyses, the more intelligent it becomes.

Cost Reduction

When you invest in automated solutions, you’re betting on the productivity of your service.

An efficient bot allows your team to solve more complex issues that need more time and attention.

Social Inclusion

Using your voice makes your chat solution accessible to people who can’t or, for some reason, won’t write.

It thus becomes a means of social inclusion, and everyone can use it, disabled or not.

Increased Customer Satisfaction

The more options you offer to facilitate interactions with your customer service, the higher the customer satisfaction.

Visor.ai Solution is for You!

Whatever challenge your company has with its contact channels, Visor.ai can undoubtedly help.

Whether with its native solutions or through its network of partners, such as Go Contact, for the automation of the voice channel.

If you want to give voice to your chatbot, contact us!
5 Successful marketing Campaigns with Visor.ai Chatbots
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5 Successful Marketing Campaigns with Visor.ai Chatbots

If you’re a Marketing professional or just a curious person, this article is for you! Here, we present you the most successful marketing campaigns that used a Visor.ai chatbot.

The implementation of a chatbot deals with much more than the automation of answers to repeated questions. It’s an opportunity for contact.

The chatbot is a channel that allows the company to return to the conversation initiated by the customer and communicate more information about opportunities, promotions, or new products and services.

In this way, chatbots are a cost-saving solution in Contact Centers. They increase the productivity of the teams, their communication, and the generation and conversion of leads.

Find more information about the chatbots market with a focus on Marketing teams. Furthermore, discover the five successful campaigns developed by FOX, Milaneza, Heineken, Knorr, and Compal brands that stand out.

Why You Should Use Chatbots in Your Marketing Campaigns

Implementing a chatbot on a website, Facebook Messenger, WhatsApp, or a company’s app can significantly reduce costs associated with Contact Centers. For example, increase SLAs and support team productivity.

It’s a solution that allows you to provide customers with immediate assistance and allows them to find answers to their questions on their own.

Customers demand real-time interactions, and chatbots speed up the process. Additionally, the speed of response attracts more users.

Consumers expect chatbots as quick to respond as a support operator in a face-to-face conversation and even faster than a person on the phone.

Note that 69% of consumers choose to interact with a chatbot. 86% prefer this channel compared to filling out forms online. This preference happens because chatbots offer quick answers and solutions.

Also, 78% of customers expect to see their requests satisfied through their chatbot use. Thus, the implementation of this solution helps to meet the real needs of many companies with a high volume of daily contacts.

According to a Markets and Markets study, the chatbot market will grow from 2.6 billion in 2019 to 9.4 billion in 2024. By 2030, the expectation is that the market will worth more than $24 billion.

These references reflect the evident growth in demand and the use of chatbots.

What Chatbots Bring to Your Marketing Campaigns

Experience, proximity, and customer retention are some of the main objectives of the Marketing and Customer Support departments.

With or without recourse to Artificial Intelligence (AI), chatbots are useful to attract, retain, and approach new customers. They are also able to collect new data and shorten sales cycles.

Chatbots using AI provide a better user experience. They offer greater efficiency in automating repeat orders, support in multiple languages, and continuous learning. Plus, the customization of responses.

Moreover, chatbots enable an uninterrupted experience throughout the customer’s interaction with the company, 24 hours daily.

It’s essential to create meaningful and constant relationships and keep track of and categorize clients for their acquisition and retention.

Chatbots are excellent tools to automate and manage the initial stages of Marketing processes. Examples include collecting customer data, product and service information, and campaign suggestions or answering repeated questions.

The implementation of a chatbot represents a new form of communication. In many cases, it provides an additional contact channel for customers.

Since numerous processes are automated, marketing teams can handle a higher volume of contacts. They can start and resume more conversations and thus generate and convert more leads.

Chatbots are also a great way to bridge the gap between Marketing and Sales departments.

They provide efficient information gathering and increase qualified lead generation.

Conversational bots enable an optimized and fluid flow of information between teams and increase the conversion rate of potential customers into customers.

5 Successful Marketing Campaigns

The following campaigns are notorious in their results.

They all carried out from the integration of a chatbot Visor.ai. Both in WhatsApp or Facebook Messenger of each company.

It will also be interesting to have the following data:

FOX

FOX Networks Group (FNG) launched the “Estreia-te” campaign in September 2019.

The campaign consisted of a contest to give voice to the Portuguese people. The objective was the collection and selection of audios from the spectators presenting the programming of FNG channels.

FOX’s WhatsApp was the way people exchanged interactions with the channel. The implementation of a chatbot made possible the national reach of the campaign.

The integration was a work enhanced by the Visor.ai and Nossa™ teams.

“Estreia-te” has achieved much better results than expected. FOX received an average of 1000 audios per day, totaling 60,000 submissions by tens of thousands of users. These numbers made the campaign the largest ever of FOX in Portugal.

At the end of the campaign, were selected 14 new winning voices. These are proof of the power of the media. In addition to reaching out everywhere, they promote inclusion and celebration of cultural, ethnic, and generational differences.

Milaneza

As a strategy to increase proximity to its consumers in a time of social confinement, Milaneza has integrated a chatbot into its Facebook Messenger.

This project again was developed from the partnership between the companies Visor.ai and Nossa™.

From this campaign, the brand can suggest healthy and innovative recipes for all of its customers’ meals. To do so, all you have to do is introduce the ingredients with which you want to cook, and magnificent suggestions emerge.

The chatbot also allows the user to talk to a real assistant about more specific questions.

It also provides information and curiosities about the pasta brand.

Knorr

In 2018, Knorr® Portugal launched a marketing campaign by integrating a chatbot into its Facebook Messenger.

This time, the implementation was carried out by Visor.ai in partnership with On Spot Net, a marketing agency.

The campaign aimed to offer summer festival tickets to users who presented purchase receipts with the brand’s products.

The chatbot validates, collects, and presents the points of each user so that they could exchange them for their prize.

Compal

Once again, the partnership between Visor.ai and On Spot Net has provided a campaign for excellent results.

The campaign “Bom Dia com Compal Summo” provides an integrated chatbot on the brand’s Facebook Messenger.

The goal is to offer healthy recommendations for breakfast.

In just one month, there was 81% effective response in 2000 conversations, and only 1% of these chats required human assistance. This assistance was only necessary due to the particularity of the issues.

Heineken

A chatbot developed by Visor.ai is, as well, on Heineken Portugal’s Facebook Messenger.

This chatbot can automate the processes of downloading, reading, validating, and rewarding coupons.

In October 2019, the chatbot had an efficiency rate of 60%. It did not have a higher percentage due to the internal requirements of the human validation mark.

The Visor.ai Chatbot Platform

Visor.ai’s chatbot solution allows you to manage all interactions and client history on a single platform directly and autonomously.

All the knowledge base and creation of rules and processes to be automated are on the client’s side. Moreover, it can be fully customized at any time.

The platform has real-time metrics regarding efficiency and bot optimization rates. This way, you can follow the results of the chat solution.

It also includes the productivity of the support operators, the average treatment time per ticket, and the number of cases solved automatically.

Besides, the Visor.ai platform allows the creation of Triggers and Broadcasts. These make it possible to send messages, such as promotional campaigns, to a specific or general audience.

If you want to have a fantastic marketing campaign or learn more about Visor.ai features, talk to us!

UX_UI Design in chatbots
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UX/UI Design: 5 Steps to Have the Most Mind-Blowing Experience

In an increasingly technological world, your product must be visually attractive and easy to use. In this article, we present to you the notions of UX and UI Design and how they can improve the user experience.

What is UX/UI Design?

You’ve probably heard of it, but you don’t know what it means or how it applies. Often confused, UX and UI Design are distinct concepts, although they relate.

UX Design is about User Experience concerning the product presented to you. This area is related to the path the user takes and his/her feelings when moving, for example, in websites or applications.

This part of the Design aims to provide a good user experience. Create empathy and satisfaction so that the user doesn’t feel frustrated during the process.

UI Design stands for User Interface Design. It deals with how the user navigates through the product.

The interfaces can be visual or not. An example of optical elements is a button and a non-visual are, for example, voice interactions.

The goal of UI is to create an intuitive and functional interaction element, thus complementing UX.

Simply put, to have a good design, your product has to consist of two parts: the Usability part and the Interface part.

UX Design relates to the product flows and structure, and UI Design deals with elements that can be more visual (color, typography, etc.).

The Creation of a Product

It is crucial to have a customer-centric strategy. This strategy means putting yourself in the user’s shoes but also listening to what the user has to say.

Only then, from these two factors, can you offer the best possible product. Therefore, always take into account the opinion of your customers when creating and updating your product.

Offering an experience of excellence that meets the needs of your consumers is your goal.

For the product to be consistent, it is essential to always adopt a preparation and execution model, following specific criteria.

These criteria allow the products you present always to have the best quality regardless of the customer intent.

Each customer has its particularities. Although it always has the same basis, these characteristics are taken into account when customizing the project and, consequently, the final product.

The Stages of a Project

The creation of a project has different stages.

Problem Survey

Start this process by meeting with your clients. Conduct interviews to understand what their needs and motivations are. This way, you know what requests you have to fulfill.

Results’ Analysis

After all the interviews, analyze the information you’ve collected, then judge the situation. Identify the points that need attention to create an innovative solution that meets what the client wants.

Prototyping

Based on the customer’s research work and idealizations, create a prototype where you can test the solution to the problem.

Testing

At this stage, meet again with the client and present the prototype. Test the usability of the product you created.

Watch the customer interact with the product and take notes. The goal is to understand if these interactions are intuitive.

The test consists of tasks. That is, throughout the experiment, request actions from the customer. The client has to perform them, without yet knowing the paths he has to take.

Through this test, you can identify the level of intuition of the product. If there are situations where the user has to think more about his action or if he finds something unexpected, then it’s better to rethink and make improvements in the process.

These improvements can be more mechanical, like changing the path the user has to take. Or something more visual, such as the position of a button, the color or the text.

At the end of the test, the user must explain what his experience was like and suggests improvements.

Improving

Depending on the information collected in the previous phase, improve the details where users had more difficulty during the test.

It is by following these five steps that the UX/UI Design is processed.

User Experience is a field that is continually developing, looking for better experiences and ways to innovate. That’s why, when you complete these steps, you repeat the process until you get the best possible result.

The Advantages of Having a UX/UI Process

The UX/UI process has a primary purpose, and that is the satisfaction of the client. However, it also brings other advantages to the company.

Loyalty

When the user can carry out his tasks successfully, intuitively, and autonomously, he feels fulfilled and satisfied. Consequently, there is no need to look for other solutions. In this way, you strengthen your relationship with the customer.

If a person has a pleasurable experience, they likely share it with others. It is through this sharing that you can gain new customers because it arouses curiosity and desire to know more about your company.

Cost Saving

Since you take into account the customer’s opinion and develop the product based on this information, no significant changes are necessary once you implement the development.

The UX process allows you to predict possible problems, and in this way, you’re able to avoid them. However, small changes may be necessary, but not a total reconstruction of the project.

By being able to carry out the tasks autonomously, the user will not have so much need for support, and there the company gains resources.

Product Valorization

By investing so that your product has a good Usability, you’re valuing it. Therefore, by adding value and innovation, you make it more competitive in the market.

Visor.ai’s Experience

At Visor.ai, we always take into consideration the opinions of our clients.

Both at the beginning and during our journey with a customer, their opinion is fundamental.

We think it’s essential to follow the steps mentioned above because only in this way is it possible to offer a consistent, innovative, and flawless service.

Visor.ai’s platform has always been subject to feedback from our customers as it is for their use. So it makes sense that they have something to say about it.

Every improvement we make is thinking about you and what can be most beneficial for your team.

What are you waiting for to enjoy a great experience? Get in touch with us now!