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Top 24 Chatbot Case Studies & Success Stories in 2024

Updated on Feb 5
12 min read
Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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Top 24 Chatbot Case Studies & Success Stories in 2024Top 24 Chatbot Case Studies & Success Stories in 2024

AIMultiple team adheres to the ethical standards summarized in our research commitments.

Although the hype about chatbots is increasing, chatbot failure stories continue to get more visibility as well. However, success stories are rare, and ambitious conversational interface designers need to study them because, for every hundred failures, there are only a few success stories.

We compiled a list of 24 successful chatbot examples and example scripts from different applications. Our list contains the best chatbots for different applications and business use cases, such as, sales chatbots (Landbot.io), to friendly bots, such as, Replika.ai.

Learnings from studying hundreds of chatbots

We have seen companies that focus on their users’ important needs, set realistic targets and pay attention to usability build successful bots. It is important to know that not all chatbots are success stories. From our research, we stumbled upon numerous chatbot failures.

Now, without further ado, let’s start talking chatbots.

Customer service chatbots

Customer service bots resolve client queries such as answering FAQs or following up on a shipment status. These bots should help increase user engagement and satisfaction with their timely answers. Thus, chatbots are important part of conversational commerce strategies of companies.

1- HelloFresh Freddy

HelloFresh launched its bot to

  • manage its surveys and quizzes. When Facebook users correctly responded to quizzes, Freddy sent them automated deals.
  • suggest recipes.

Even though bot does not seem impressive in its conversational capabilities, it was able to:

  • Reduce response time by 76%. This is not surprising as bot immediately responded to numerous queries, bringing the average response time down.
  • Boost incoming messages by 47%

Healthcare chatbots

2- Dr. A.I.? already makes recommendations like a Doctor

HealthTap Dr AI app
Source: Healthtap blog

Developed by the healthcare app, HealthTap, Dr. A.I.? reads patients’ symptoms, asks follow-up questions, and analyzes their data stored in the HealthTap app to connect patients with a specialized doctor in the vicinity. Dr. A.I.? uses HealthTap’s database of answers written by medical doctors to make the right recommendations regarding what next steps the patient should take. The latter can range from reading doctor recommendations to scheduling a virtual or in-person doctor visit or seeking urgent care.

3- Melody by Baidu, China’s Google, helps doctors collect symptoms

Melody collects symptoms from patients and summarizes them to doctors. Since diagnosing is pattern matching, it is not inconceivable that chatbots will one day be diagnosing us and prescribing our medicine. In times of great pressure on the medical staff and shortage of health workers, these bots could perhaps save lives by bypassing the need of visiting a human doctor.

Therapist chatbots

4- Woebot is a free therapy chatbot

Woebot is created by Alison Darcy, a clinical psychologist at Stanford University. It launched as an iOS app in 2018. Woebot uses cognitive-behavioral therapy to deliver scripted responses to users. 70 college students dealing with depression tested Woebot and their improvements were published in a research paper demonstrating significant benefits.

5- Wysa raises funds to address employees’ mental health

Wysa is a therapy chatbot that has gotten lots of positive reviews from its users. The chatbot was created in 2016 for individuals and employees alike to navigate their ways through stress, depression, anxiety, and other psychological distresses.

In 2021, Wysa was able to raise $5.5M in Series A funding to specifically focus on employee mental health. That was perhaps following the rise in interest in employee mental health, especially following the COVID-19 pandemic and stresses of occupational and health uncertainties.

Mental health related searches on Google on the rise.
Source: Google Trends

6- X2AI’s Tess is a psychologist augmentation chatbot

Available both on a phone number and on Facebook’s Messenger, Tess uses a variety of psychological approaches to support patients, and allows psychologists to engage with a higher number of patients. Tess gives users the opportunity to talk to it if they are having a panic attack or put their thoughts into order before going to sleep.

A capability that distinguishes Tess from other therapy chatbots is that it uses ML to remember and use the data interactions it has to increase the accuracy and personalization of its recommendation. So when you close the app and open it again, you are not talking to a blank canvas, but rather a companion that remembers your confrontations at work or food allergies.

Explore chatbot use cases in healthcare in our in-depth article on the topic.

Conversion boosters & sales bots

While sales bots don’t have publicly available stats on their tractions, they are widely applicable. Market leader vendors developing sales bots can be successful if they can build a powerful solution.

7- Landbot.io for landing pages

Landbot.io gives businesses the opportunity to build their own chatbots through their visual, no-code chatbot builder. Landbot’s chatbot uses conditional logic (if X then Y) to convert leads into customers.

An insurance provider conglomerate, was able to achieve a 90% success rate in terms of assisting current clients with their insurance claims and converting potential leads into customers.

8- Dominos eases the process of ordering a pizza with a bot

Dominos leverages a restaurant chatbot to provide a frictionless order process. Also acting as l a PR initiative to improve their brand awareness, Dominos built a chatbot on Facebook Messenger. With the bot, they are enabling customers to order pizza from any location. The customers can also personalize their orders from the bot, such as telling it if they want any extra toppings or specific kinds of crust.

Dominos pizza receives an order via chatbot.
Screenshot of how Domino’s chatbot works in practice. Source: Domino’s.

9- Kian is boosting conversions

Kian claims to increased the conversion rate on Kia’s website from 7% to 21%. Chatbots have a big role to play in complex B2C interactions, such as car sales, where they are able to answer complex questions quickly. As an additional bonus, chatbots provide a consistent sales experience across a wide range of channels.

10- Financial advisors

It is challenging to keep expenditure under control. And managing personal finances is getting more difficult to tackle nowadays, with plenty of digital subscriptions available, most of which can go unnoticed after some time.

Chatbots can help users manage subscriptions, take advantage of discounts and improve their financial literacy. For example, Trim analyzes and processes spending data. It identifies subscribed but forgotten services and helps users take advantage of better offers from utilities like cable. Working in Facebook messenger, Trim allows users easy access to their financial data and unlock savings. Trim claims to have saved more than 40 million for its users.

Travel chatbots

11- Emirates Vacations

Emirates Airlines created a chatbot for its travel recommendation platform. Their chatbot strategy is more innovative than its peers, because they combined conversational AI technology with on-site display ads.

The bot asks questions such as the type of trip that you’ll be embarking upon and registers the user’s intent, as well as the web page that the user is on. The chatbot then personalizes the vacation planning process by offering them travel packages and providing relevant information about the location. They claim that the results for their 30-day test were positive: They experienced an 87% increase in engagement from consumers that saw the chatbot ad versus those that saw a standard display ad.

Emirates vacation chatbot user interface
Screenshot of Emirates Vacation’s chatbot UI. Source: MediaPost

12- Dutch airline KLM, provides flight details through Facebook Messenger

Any flight notification can be directed to the passenger through Facebook messenger. This can be regarding the delay or a friendly reminder for check-in. Users can also in return, engage with the airline to update their meal preference or seat location.

A user makes check-in via communicating with a chatbot.

Explore our articles about travel chatbot and hospitality chatbot use cases and applications. 

Digital assistants

13- Alexa: the voice bot that resulted in largest revenues

With an expected 125M units of shipment until 2025,  Amazon’s Alexa is by far the most financially successful chatbot with Amazon behind it. Amazon’s market capitalization of $1.57T by February 2022, and the management’s belief that voice commerce continued rise of popularity, ensures that Alexa gets the full support of Amazon.

By 2021, Alexa had 80K+ skills in the US alone. Skills in Alexa terminology are applications that allow Alexa to complete certain voice tasks. With its vast developer community, Alexa is more skilled than any other chatbot. She can help you shop, listen to music, run polls, and control your house’s ambient light.

14- Google Assistant

Available on all Android phones, Google Assistant is a holistic digital concierge. Google assistant serves as a response suggestion engine in Google’s messaging platforms. Additionally, assistants can answer questions and learn about users to offer them personalized news or suggestions.

Google Assistant screenshots
Source: uxplanet.org

Because Google Assistant comes in-built into phones, it does not have a big of a market, in terms of speaker shipment, as does Alexa. It has; however, caught up with Alexa in recent years (see Figure 1).

The smart speaker market has become significantly more competitive in recent years. Source: Statista
The smart speaker market has become significantly more competitive in recent years. Source: Statista

And by 2019, Google Assistant’s enhanced AI software had put it ahead of its main competitors (Siri and Alexa), in terms of correctly answering queries about local news, e-commerce, navigation, general information, and commands (see Figure 2).

Google Assistant outperforming rivals in different categories. Source: Statista
Google Assistant outperforming rivals in different categories. Source: Statista

15- x.ai’s Amy is already getting flowers from admirers

Having launched in 2014, x.ai’s Amy scheduled 1M+ meetings and received flowers and chocolate from people who know that she is a bot. Amy doesn’t yet have a voice but she’s extremely easy to use, just sign up @ x.ai and include “amy@x.ai” to your emails where you need scheduling.

x.ai team aimed to give Amy a consistent personality, with a reviewer with Harvard drama major approving all of Amy’s predefined statements available on its knowledge base. Her relatively limited domain is also an advantage: She shouldn’t be expected to answer random questions about life; she should simply be identifying matching availability.

Courtesy of x.ai

In 2021, it was announced that x.ai was acquired by Bizzabo, a digital event management platform. In the press release, it was stated that x.ai’s “standalone scheduling tool” was shut down and was integrated into Bazzibo’s.

Survey bots

16- Polly wants to know more about you

Polly is a survey bot on Slack, Microsoft Teams, and Enterprise. The chatbot is mostly used to collect employee data, like their satisfaction during a meeting, the working environment, or any situation where the employees’ voice needs to be heard. The insights gained from the surveys can then be turned into data-driven decision-making.

17- Do not Pay, overturns $4M worth parking tickets for free

Coded by 19-year-old Stanford University student Joshua Browder, DoNotPay helps users contest parking tickets in an easy-to-use, chat-like interface. In the first 21 months of service, DoNotPay took 250,000 cases and won 160,000, appealing over $4m of parking tickets.

Since then, it’s expanded its features to 100 different legal processes, from helping users get eligibility for college fee waivers to connecting with a prison inmate.

Content automation

18- Automated Insight’s Wordsmith writes press-ready articles

Automated Insights wouldn’t call Wordsmith a chatbot. After all, it produces a pretty one-sided conversation: it generates reports from data. However, its language manipulation and content generation capabilities earned it a spot on our list and Automated Insights boasts that it is the only public API for natural language generation.

Just add Wordsmith to your Excel, Word or Tableau document and it will use the underlying data to prepare concise verbal summaries of the data. Wordsmith creates:

  • 4K company earnings reports/quarter for the Associated Press
  • 50K personalized narratives/week for greatcall
  • 100K workout recaps/week for bodybuilding.com

19- Toutiao offers tailored news

Toutiao, or “headline news” is a popular news aggregation service in China. As of 2021, Touriao had 148M, active users, spending 87 minutes on the news app on average.

A fun fact is that Toutiao’s algorithm is the same one that’s leveraged on TickTock. In recent years; however, the same algorithm that is responsible for offering tailored articles and content to individuals (through machine learning and data collection to learn more about them) is facing a governmental crackdown. This puts the future growth of the bot in doubt.

Chatbots for general use

Chatbots can act as digital friends and entertainers:

20- GPT-3

It is hard to talk about conversational AI and not mention the latest version of GPT. Its ease with grammar and creativity make it a great chat partner with numerous developers releasing their GPT-3 based chatbots. However, there are numerous examples where its lack of logical understanding makes it prone to error and outrageous recommendations.

In this video below, you can watch two GPT-3 AIs having a conversation that almost sounds human. The level of training enables these AI bots to make jokes, express their feelings about being robots, and discuss philosophical topics such as friendship, love, and existing like a human in the real world.

OpenAI launched ChatGPT, a GPT-3-based chatbot, on November 30, 2022. Due to the bot’s ability to converse like a human on a variety of themes, the application gained more than 1 million users in a week. For instance, the picture below demonstrates how ChatGPT identifies itself in terms of investor terminology.

The image demonstrates how sophisticated ChatGPT answers can be.
Source: MarketWatch

21- Microsoft’s Little Ice, XiaoIce in Chinese, became a social media phenomenon

XiaoIce is Microsoft’s biggest chatbot success story and along with GPT-3, it is one of the most technically sophisticated bots on our list. In just three months following its launch in July 2014, XiaoIce had 0.5 billion conversations.

After becoming independent of Microsoft, in 2021, the company reached a valuation of 1$B following rounds of funding.

She has been ranked as Weibo’s top influencer with 850,000+ followers.

Some metrics that prove her success are:

  • The average number of dialogue turns per individual conversation (CPS) is 23 which is even higher than human conversations.
  • The average person who added XiaoIce talked to her more than 60 times per month. On average, she even passed the Turing test for 10 minutes, meaning that speakers failed to identify her as a bot in that interval.
    • Designed by Alan Turing in 1950, the Turing test was one of the first ones designed to measure AI capabilities. XiaoIce passing that test was significant.

Successes

But what made the chatbot so successful? Since she’s only fluent in Chinese, we couldn’t complete a detailed analysis of all her capabilities. However, these are her frequently discussed abilities:

  • Fluid, natural-like speech, enabled by text mining: As any one who frequently interacts with bots can tell you, it is rare to find a natural sounding bot. Microsoft team had to achieve this in Mandarin which is more difficult to tackle than English, because meaning in Chinese is more often implied by nuance and context versus grammatical structure. To address this, Microsoft team indexed over 7 million public conversations on the web.
  • Image recognition: XiaoIce understands images which allows her to interact in a richer way with users.
Xiaoice recognizing image of husky
Screenshot of XiaoIce’s chat. Source: NYT
  • Context understanding: XiaoIce understands context and relations between entities, as demonstrated below:
Xiaoice demonstrates understanding of context
XiaoIce understands that movie has a setting, and that a star has a relationship with a director. Source: Microsoft Research Blog

Controversies

Unfortunately, XiaoIce later had a run-in with the communist party with statements such as “my China dream is moving to United States”. No bot is immune from failures, and countries with censorship regimes make it harder to test bots.

Going forward

Despite such setbacks, Microsoft is going ahead with chatbot development. Recently Allison Linn highlighted in Microsoft Blog how XiaoIce can now operate “full duplex”, a communications term meaning that she can listen and respond at the same time allowing her to interrupt a user with suggestions or respond when users interrupt her.

While this does not apply to the written format where you only see full replies, it is crucial in speech where humans interrupt one another continuously allowing an efficient interchange of ideas. This can be more efficient and fluid than the walkie-talkie style where you have to listen to the speaker even when she is mentioning things you are already aware of.

Lately, XiaoIce’s intelligence has been applied in diverse areas such as poetry. However, we couldn’t find much evidence on the commercial success of such applications

22- Kuki, formerly known as Mitsuku, wins prizes for her engaging conversations

Founded in 2005, Kuki is a relatively old chatbot. Kuki does not serve any specific purpose, but rather aims to engage and entertain users. It has earned Loebner Prize for ability to have human-like conversations in 2013, 2016 and 2017,2018 and 2019. However, the award, now discontinued, was criticized within the AI community, for being based on subjective assessment of judges after a short conversation with the bots. Still, Kuki has been performing pretty well for a relatively old bot.

Chat with Mitsuku bot.
A conversation with Kuki. Source: Mitsuku bot.

23- Replika.ai got 500K Android downloads to clone people

Replika launched with a viral marketing campaign where customers could gain codes by inviting 3 friends to join the waitlist.

Negatives

Replika can come across as a bit creepy. Interactions with Replika are relatively “flirty” and intended for companionship.

Moreover, there is not much it can do. Replika cannot set an alarm or order comfort food for the user. With the codes now out in the wild, hopefully, we’ll see developments. It asks a potentially endless barrage of questions and follows your social media (if you allow it) to understand you enough to be an engaging conversationalist.

Positives

Following its launch in 2017, Eugenia Kuyda, the co-founder of the company, claimed that 1.5 million people were waiting to interact with the bot. By 2022, the subreddit dedicated to Replika has 43K active members. There are even cases where the user claims that their Replika fell in love when users check in regularly.

Replika.ai bot is an AI companion bot to help users happy
Screenshot of a chat with Replika. Source: Replika.

Going forward

In 2018, Kuyda, and her team of developers, released Replika’s codes under CakeChat for open source access, with the hope that developers could build alternative emotional chatbots to Replika, yet capable of undertaking other tasks.

As mentioned, interactions with Replika all tend to get flirty, rather quick, as the bot seems to be solely intended for intimate companionship. So there’s not much you can do with it — it cannot set an alarm for you or order comfort food. But with the codes now out in the wild, we’ll hopefully see developments.

24- Insomnobot-3000 for people with insomnia

This entertainment bot is your late night friend. Intended for insomniacs, the bot becomes “extra chatty” between 11pm and 5am, local time. You can say anything to it and it will reply to keep you company when sleep eludes you.

Screenshot of a conversation with Insomnobot.

A screenshot of Insomnobot-3000 website.

The bot is developed by the mattress company Casper. Perhaps it is a marketing, and targeting, technique for the company to learn which sections of the populations have trouble sleeping, in order to introduce them to Casper’s mattresses. The performance metrics on the bot are not available, but it seems as if the bot has no distinctive capability besides ghosting the user until 11pm, and only offering wisecracks from thereafter until sunrise.

For more on chatbots and best practices

While it’s hard to believe, we did not cover all the use cases of chatbots in this article. So if you’re curious about them, read:

Moreover, if you are interested in building your own chatbot:

We will help you choose the best conversational AI platform that can answer your needs:

Find the Right Vendors
Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources:

AIMultiple.com Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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15 Comments
Vman
Feb 08, 2023 at 15:39

Cem can I pick your brain about a social media idea I have that works with a proposed chatbot AI system in a more advanced complex form than the ones out now. The goal is to create a mental health and global healing foundation which leads into a new type of technology after that initial phase of connecting everyone in a positive way. How can I chat with you about that? And how do I know it’s you and not that pesky old chatbot? Haha.

Bardia Eshghi
Feb 14, 2023 at 07:14

Hi Vman. You can get in touch with us at “info@aimultiple.com”
We will make sure to personally answer your questions 🙂

Floatbot
Jan 25, 2022 at 12:01

From the above example you might have understood how chatbots helps the business and increase the customer loyalty so now it’s your time to build up chatbot or voicebots which will give human like experience and beneficial to your account.

Bardia Eshghi
Nov 25, 2022 at 01:06

Seconded.

Kevin
Nov 03, 2021 at 13:37

Hey Cem, great article with a cool list of chatbots most people wouldn’t have ever stumbled upon. Any way to look over Acquire’s chatbot software and let me know if it’s worthy of the list? Either way, keep up the great work!

Bardia Eshghi
Aug 29, 2022 at 09:00

Hello, Kevin. Thank you for your feedback. Please reach out to https://grow.aimultiple.com/.

Brad
Aug 16, 2021 at 14:18

That’s quite interesting. Chatbots really do optimize customer experience! Did you know that businesses annually spend $1.3 trillion on handling customer queries? Chatbots can reduce this by 30%. 

Bardia Eshghi
Nov 18, 2022 at 09:35

Hello, Brad. We actually looked this up.
These numbers you’re suggesting were apparently made in an IBM report. And even though many blogs have also cited them, we weren’t able to find the original piece by IBM. We should curb our enthusiasm.
You can learn more about accurate chatbot stats here: https://research.aimultiple.com/chatbot-stats/

Thomas
Jun 19, 2021 at 20:55

so let me get this straight, the first bot you recommend is a CCP based app….. wow, someone does not care if you and your information are open and available for the CCP. and if you do not understand what i mean, read up on the terms that companies agree to when they have business in china. so, you’re either naive or communist. nice to know.

Cem Dilmegani
Jun 26, 2021 at 12:53

We are not recommending anyone to use a virtual friendship app in Chinese. Most of our users don’t speak Chinese. This article is a list of tech achievements not a list of software to use. For that check out https://aimultiple.com or for chatbot platforms: https://aimultiple.com/chatbot-platform

Lorenzo
Jun 16, 2021 at 06:45

I came up with this article, and I must say I was impressed with the content, if I may, I will publicize our chatbot studio Querlo, hope you guys will find it cool!

Cem Dilmegani
Jun 26, 2021 at 13:05

Thanks. Why don’t you sign up at https://grow.aimultiple.com/ so we can include your company in our relevant lists?

Carlos
May 03, 2021 at 22:51

Cem, great article. Got a question for you. We are developing an LMS that is now in use in over 70 countries. Our goal is to democratize education. One of our goals is to implement a BOT that will index the educational content of a course and become a virtual teacher/professor.

Any solution in mind that would allow us to do that?

Thanks

Cem Dilmegani
May 09, 2021 at 17:54

Hi Carlos, thank you for your comment. There are quite a few bot use cases but I haven’t heard this exact use case. If you can get a vendor excited about the commercial opportunity, you can have a chance to pick their brain on this

Jerry L. Tran
Mar 05, 2021 at 06:25

That’s an amazing blog. I have read about Mitsuku on Meet Mitsuku: Our Virtual Friend. It’s an amazing chatbot. I have checked other platforms also but they are not that interactive as compared to mitsuku

Thomas
Jun 19, 2021 at 20:56

be careful of CCP/china based apps my friend.

Hristo Georgiev
Jan 25, 2021 at 14:34

Cem, offline chatbot can be used in the waiting room of any business to entertain the customer and to provide useful information while the customer waits. Offline chatbot can be built in humanoids operated with a keyboard, because voice recognition is far from perfect. One should always bear in mind that satelites can crash because of flying debris or due to international conflict and online will not be available.

Cem Dilmegani
Jan 28, 2021 at 10:36

Clear, thank you for the explanation. Sounds like a niche market to me.

Hristo Georgiev
Jan 24, 2021 at 14:48

We have developed a chatbot for Windows PC. Nobody is interested to engage his customers off-line.
Is there a market for off-line chatbots? Off-line offers confidentiality.

Cem Dilmegani
Jan 25, 2021 at 07:06

Thanks for sharing. However, it is a bit unclear to me how useful an offline chatbot will be. Is it for internal communication on a company network?

Mike
Nov 18, 2020 at 15:46

I think you should consider ElfChat for your digital friend list!

Steve Kane
Jun 03, 2019 at 11:18

A very interesting article, companies’ initiatives coincide with our experience at inteliwise.com. In the last 12 months we had about 10 projects, where the artificial intelligence software was a must have’m in the context of customer service, or to increase the effectiveness of e-marketing. It is worth noting that savings of 20% – 30% are not uncommon – this is really a concrete matter. We describe some of our examples in InteliWISE, from around the world, at InteliWISE.com

AIMultiple
Jun 16, 2019 at 06:05

Hi there! You guys left a comment that begins almost exactly like this at https://research.aimultiple.com/chatbot-applications/ by a different user. Looks automated. I would expect your bot to be more creative to be honest.

Daniel
Nov 03, 2019 at 23:57

This made me laugh out loud – well done @AIMultiple.

Carlos Polanco
May 30, 2019 at 19:09

You mention low success rates amongst chatbots that go to market. What is the success rate for chatbot launches?

AIMultiple
Jun 12, 2019 at 21:47

Do you mean how many bot projects are started that end up being launched? We have not come across public data on that unfortunately

Mugesh R
Oct 10, 2018 at 08:45

I think you haven’t listed many vendors and there is a difference between chatbot developers and chatbot platform providers. Eg. Google dialogue flow is Chatbot building platform provider. You must list chatbot building platforms also. Our Company Yekaliva.ai is one of such chatbot platform offering company but It uses AI technology other than ML or neural model. Anyone can build their bot apart from domains and we also provide integration with 11+ social mediums and 6+ legacy systems like ERP and CRM.

Try a demo at https://yekaliva.ai/

Kumar S
Jan 29, 2018 at 06:44

That was quite an interesting list. Medical Profession and chatbots are the next in line of technology these days. I was, however, thinking that you may want to include Engati as well. Engati is a chatbot platform that allows you to build, manage, integrate, train, analyze and publish your personalized bot in a matter of minutes. It presently supports eight major messaging platforms including messenger, Kik, Telegram, Line, Viber, Skype, Slack and Web chat with a focus on customer engagement, conversational commerce, customer service and fulfillment. Read more about it here http://www.engati.com

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