Trending February 2024 # 50+ Chatbot Companies To Deploy Conversational Ai In 2023 # Suggested March 2024 # Top 7 Popular

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If your business deals with a high volume of queries that consume a significant amount of resources, then it can benefit from a customer service chatbot / conversational AI system. 

However, with so many factors to consider, options to choose from, and biases to avoid, implementing a chatbot in your business can be a difficult process. 

This article aims to introduce conversational AI vendors to readers in order to help them to find a suitable vendor for their business requirements.

Clarify your requirements

The right vendor will depend on the type of solution you are looking for. The solution will have these important parameters:

Supported languages.

The type of bot: FAQ bot, sales bot, customer service bot etc.

Dialog volume.


Channels: For example, major messaging platforms such as Facebook Messenger, WhatsApp, or Slack can be considered for deployment (conversational commerce platforms).

Understand the options in the market

We can categorize the chatbot options in the market  into the following 3 groups:

1. Self-service solutions with GUI

Build your bot using a simple Graphical User Interface (GUI) by dragging and dropping components. This approach is suitable for quickly building a simple bot with basic capabilities.

2. Self-service solutions with a programming interface

These solution providers build an API, SDK, or a library, to provide a framework for your bot to use Machine Learning (ML) and Natural Language Processing (NLP) capabilities to understand the intent of user queries. 

Building blocks for understanding intent, such as parsing the user query, can be provided by the API. Using the available tools, beginner or citizen  developers can build bots in a couple of hours. However, a best-in-class bot would take significantly longer to build, depending on the requirements.

3. End-to-end solutions

This is the easiest way of building a chatbot. Specify what your bot needs to do and get a vendor to build it from the ground up. The price varies depending on your specifications, and the chatbot developer. 

In most cases, after your bot is built, you would have access to a panel through which you can further customize the functionality of the bot.


For instance, conversational AI company Haptik, developed a WhatsApp chatbot for tire manufacturer CEAT. The chatbot is able to suggest specific tire models to each customer, depending on their car models and personal preferences or needs (e.g tires that minimize carbon emissions).

Note 1: You can ask Haptik for a demo to see the capabilities of conversational AI tools.

Note 2: To learn more regarding recent WhatsApp marketing trends and WhatsApp bots you can download Haptik’s The State of WhatsApp Marketing 2023 report.

Decide whether to buy or build a chatbot

We recommend companies to deploy the following type of chatbots under these specific circumstances.

Go for a self-service with GUI if all of the following are true:

You have little to no budget for chatbots,

You have limited expectations from your bot,

You don’t have/can’t access many technical skills.

Go for a self-service with an API option, SDK, or library if all of the following are true:

You have little to no chatbot budget,

You have limited expectations from your bot (however, with a great technical team, you could also build a world-class bot).

You have or can access some tech skills.

If all the above factors do not fit your business, go for an end-to-end solution chatbot company.

For all other cases, it would be good to keep exploring all the options. For example, if you have tech skills, it might be worth building your own chatbot with some support from self-service solutions even if you can allocate a sizable budget for it.

In any case, having a look at the overall industry landscape would be helpful in deciding who to work with.

Understand the self-service chatbot provider (chatbot platform) landscape 1. Tech giants

Google, Amazon, Microsoft, IBM, and Facebook all want to help you build the next greatest bot. Having won Jeopardy in 2010, IBM Watson is one of the pioneers in the field. However, today AI is on the agenda of all tech giants. Their solutions have a supportive community and a small army of developers, so you will not need to worry about developing on a platform that can suddenly be deserted.

On top of already familiar names, relatively new companies are also part of tech giants, thanks to recent acquisitions. For example, Google’s Dialogflow is a chatbot development platform that can be used in designing conversational AI interactions such as chatbots, voice assistants, and virtual assistants, which are integrated with different conversational platforms, especially Google assistant.

To learn about the pros and cons of the tech giants’ platforms, check out the article on how to choose your chatbot platform. In this guide, we compared the top 5 chatbot platforms, Google Dialogflow, Amazon Lex, IBM Watson Assistant, Facebook’s chúng tôi and Microsoft Azure Bot Service.

2. Startups

Startups are trying various approaches to innovate in this emerging market. For example, graphical user interfaces and even bots to build bots are offered to facilitate bot development.

See all chatbot platforms in one neat table

Chatbot platforms offer developers the capability to build and publish their chatbots. NLP engines provide mainly natural language processing capabilities to developers, which they can use to create their bots. 

Chatbot companies/platforms

Note: Vendor at the top of the list are sponsored.

Vendor NameLocationYear FoundedPlatform Capabilities*UXBot communicationNumber of EmployeesTotal Funding AmountReferencesLanguages HaptikIndia2013Chatbot PlatformProgrammableVoice / Text200-600$12.2MDisney, HP, Tata, Zurich InsuranceMultilingual ClustaarFrance2024Chatbot PlatformGUIText11-50$1.9MNestle, TUIMultilingual CognigyGermany2024Chatbot PlatformGUIVoice / Text101-200$69MHenkel, T√úV Rheinland, Salzburg AGMultilingual ConversableUSA2024Chatbot PlatformGUIText11-50N/ABudweiser, EY, PG, Pizza Hut, Sony, TGI Fridays, Viacom, Whole Foods, English EngatiIndia2024Chatbot PlatformProgrammableText101-200N/AIKEA, Pwc, AmadeusMultilingual Enterprise BotSwitzerland2024NLP EngineProgrammableText51-100N/ASix Securities & Exchanges, AfterPay, SWICAEnglish FloatBotIndia2024Chatbot PlatformProgrammableText11-50N/AAndhra bank, Lifecell, Pimpri-ChinchwadMultilingual IBM Watson AssistantUSA2014NLP EngineProgrammableVoice / Text10000+N/AN/AEnglish, Japanese Meya.aiCanada2024Chatbot PlatformProgrammableText1-10$ 1MSony, Vodafone, Mercedes BenzMultilingual Microsoft Bot FrameworkUSAN/ANLP EngineProgrammableVoice / TextN/AN/AN/AMultilingual Microsoft Azure Language Understanding Intelligent Service (LUIS)USAN/ANLP EngineProgrammableVoice / TextN/AN/AN/AMultilingual Octane.aiUSA2024Chatbot PlatformGUIText11-50$10.8MKiehls, Warner Music GroupEnglish Reply.aiUSA2024Chatbot PlatformProgrammableText11-50$3.7MMapfre, Samsung, Starbucks, HiltonEnglish Rasa NLUGermany2013NLP EngineProgrammableText51-100$40.1MUBS, Raiffeisen, Yellow Pages, Lemonade, AdobeEnglish, German Recast.AI (acquired by SAP)France2024Chatbot PlatformProgrammableText51-100$18MAccenture, Capgemini, Deloitte, SalesForce, Cisco, Facebook, Slack LinkedinMultilingual Semantic MachinesUSA2014NLP EngineProgrammableText11-50$20.9MN/AMultilingual

Understand different types of end-to-end chatbot providers

This section highlights different kinds of chatbot vendors for businesses that need an end-to-end solution:

1. RPA companies

Robotic Process Automation automates mind numbing back-office work typically handled by outsourcing companies. Since RPA bots deeply integrate with a company’s systems, they can also help chatbots access data and operational capabilities. 

Check out a prioritized, data-driven list of RPA vendors

Customer service experts

These companies create end-to-end solutions for firms’ customer service needs, such as:

Automating customer queries via chatbot.

Collecting consumer data via chatbots.

Offering personalized products/services via chatbot based on consumer data.

Analyzing chatbot analytics to find consumers’ expectations and needs. Also chatbot analytics help to find efficiency of chatbot.


Salesforce is the CRM market leader and Salesforce Contact Genie enables multi-channel live chat supported by AI-driven assistants. Salesforce Contact Center enables workflow automation for many branches of the CRM and especially for the customer service operations by leveraging chatbot and conversational AI technologies.

Pure chatbot companies

They use their own platform to develop complex bots fast. Some players focus on a specific niche in the market and produce bots customized for the industry or business function they specialize in.

Companies founded in the 2000s: This was the beginning of the chatbot business when the first web chat features were added. Accumulated decades of data and experience.

Companies founded in the 2010s: Founded in the 2010s, they developed novel approaches to chatbots. They offer end-to-end services and enable enterprises with limited capabilities to develop chatbots.


Haptik, a vendor of conversational AI founded in 2013, works with many companies including Fortune 500 ones like Disney, HP, Unilever, Tata, Zurich Insurance, and others. Company, build chatbots for following industries:

As of right now, Haptik’s bots have conducted more than 4 billion user conversations. Since Haptik has expertise working with a wide range of businesses and industries, they have a large dataset for intent recognition, which improves chatbot accuracy. 

Additionally, Haptik offers chatbot analytics to its partners, enabling businesses to learn more about the preferences and needs of their customers.

You can see a selection of major chatbot companies below: (Vendor at the top of the list are sponsored.)

Platform NameLocationYear FoundedPlatform CapabilitiesBot CommunicationNumber of EmployeesTotal Funding Languages HaptikIndia2013Chatbot PlatformVoice / Text201-600$12.2Mmulti-language Nuance CommunicationsUSA1992Chatbot PlatformVoice / Text10000+N/A40+ Languages Drift chatbotUSA2024Chatbot PlatformVoice/ Text601-1000$107M29 Languages Kore.aiUSA2014Chatbot PlatformVoice / Text201-600$73.5M36 Languages PersoneticsIsrael2011Chatbot PlatformVoice / Text201-600$178MN/A InbentaSpain2005Chatbot PlatformN/A101-200$23.3M42 Languages BotpressCanada2024Chatbot PlatformVoice/ Text51-100$15M12 Languages Creative VirtualUK2003Chatbot PlatformVoice / Text51-100N/A40 Languages PypestreamUSA2024Chatbot PlatformVoice / Text51-100$46.5MN/A Botgate AIEstonia2024Chatbot PlatformVoice/ Text11-50N/AEnglish, Deutsch Cedex technologiesIndia2024Chatbot PlatformVoice / Text11-50N/AN/A Clare.AIHong Kong2024Chatbot PlatformVoice / Text11-50N/A12 Languages ImpersonUSA2014Chatbot PlatformVoice / Text11-50$1.1MN/A MindMeldUSA2011Chatbot PlatformVoice / Text11-50$15.4MN/A UbisendUSA2024Chatbot PlatformVoice / Text11-50N/A50+ Languages WotnotIndia2024Chatbot Platformvoice/ Text11-50N/Amulti-language

Chatbot developers

These companies rely on chatbot platforms to build custom bots for their clients. There are hundreds of such companies, and some of them are specialized in specific industries. However, most are software development houses that build various custom software solutions.

CompanyNumber of employees QBurst2000+ Contus251-600 OnGraph Technologies251-600 Ideas2IT251-600 Peerbits101-250 Root Info Solutions101-250 iGnovate Solutions11-50 Chatbots Studio11-50 Botscrew11-50 Singularika1-10 Unibot1-10 The Bot Forge1-10 OCDLAB1-10 BitBot Studios1-10

If you want to learn more about custom AI solutions, feel free to read our whitepaper on the topic:

Other: Agencies, system integrators, consultants

Large organizations consider these as swiss army knives. Think of any tech problem, and there’s probably a company that can build a custom solution for you from available solutions in the market. For example, if you already work with a system integrator and consider getting an end-to-end service, consider asking them about their conversational capabilities.

Further reading

If a decision is yet to be made, feel free to check our data-driven vendor lists:

You can download our conversational AI whitepaper to learn more about the technology:

Also, for more info about voice bots you can download our whitepaper on it:

If you would like to have our opinion on who would be the right chatbot provider for your business, just let us know:

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





You're reading 50+ Chatbot Companies To Deploy Conversational Ai In 2023

Top 50 Companies For Ai Chatbots

This article enlists 50 chatbot companies that provide conversational AI solutions for varied domains and platforms.

AI chatbots have revolutionized the way businesses interact with their customers. These intelligent virtual assistants can understand natural language and provide personalized responses to customer queries, leading to improved customer satisfaction and increased sales. With the rise of AI technology, more and more companies are integrating chatbots into their customer service strategies. Analytics Insight has come up with a list of AI chatbot providers to assist organizations in finding the best chatbot provider. These platforms assist several businesses and individuals in comparing chatbot providers based on features like customization, integration potential, and cost.


Company: Ada

Headquarters: Toronto, Ontario, Canada

Release Date: 2024

Features: Ada chat includes a chat builder module with drag-and-drop capabilities, which assists professionals with designing custom chatbots using automated replies, multimedia content, and A/B testing.

Free trial/Pricing: Available for a free trial

Google Rating: 4.6


Headquarters: Palo Alto, California, United States

Release Date: 2024

Features: Features of chúng tôi Prediction, natural language processing, Coherence and Context, conversant AI, Electronic assistant, Recognition of intent, Screen conversations, and Development Without Code.

Free trial/pricing: Available for a free trial

Google Rating: 4


Company: atSpoke

Headquarters: San Francisco, California, United States 

Release Date: 2024

Features: atSpoke features are knowledge management, ticketing, and an employee self-service site powered by AI, Answers to inquiries received via email, online, SMS, and Slack thanks to atSpoke’s multi-channel chatbot.

Free trial/pricing: Available for a free trial, monthly US$3.00

Google Rating: 4.7


Company: Microsoft Corporation

Headquarters: One Microsoft Way Redmond, Washington, U.S.

Release Date: 2009

Features: Bing is provided with specifications like food preferences, spending limits, location, or time allotment, it can carry out sophisticated activities like meal planning.

Free trial/pricing: Free

Google Rating: 3.58


Company: Genesys

Headquarters: Boston, Massachusetts, United States

Release Date: 2024

Features: Bold360 features include live chat, messaging, mobile engagement, agent productivity management, AI self-service, reporting, and analytics.

Free trial/pricing: Yearly US$20,000

Google Rating: 3.3

chúng tôi

Company: Scandinavian software company

Headquarters: Sandnes, Rogaland, Norway.

Release Date: 2024

Features: helps businesses to create, implement, and manage chatbots to automate interactions with clients and staff and provide scalable answers to inquiries.

Free trial/pricing: Free Trail

Google Rating: 4.8


Company: Botsify

Headquarters: Karachi, Sindh, Pakistan

Release Date: 2024

Features: Botsify is a multi-language powerful chatbot that helps in Integrations, and client Support, and automates difficult client interactions in minutes.

Free trial/pricing: Monthly US$25

Google Rating: 4.3


Company: ChatBot

Headquarters: Boston, Massachusetts, United States 

Release Date: 1994

Features: ChatBot features are Unsupervised AI Learning (NLP/NLU), Omnichannel Messaging, Live Chat Handover & Intelligence, No-Code Visual Flow Builder, and Sentiment Analysis.

Free trial/pricing: Monthly US$52

Google Rating: 4.4


Headquarters: San Francisco, California

Release Date: November 30, 2023

Features: ChatGPT is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with the chatbot. 

Free trial/Pricing: Free and its latest version ChatGPT Plus is US$20

Google Rating: 4.6


Headquarters: San Francisco, California

Release Date: December 12, 2023

Features: ChatSonic is an AI-powered virtual assistant that can create digital artwork/images, respond to voice commands, and generate text.

Free trial/Pricing: Free Trial up to 2,500 words

Google Rating: 3.7

Headquarters: Paris, Ile-de-France, France

Release Date: November 1, 2023

Features: CSML helps chatbot development teams build truly intelligent, maintainable, and scalable chatbots, integrated with your favorite apps, on any channel, with full control over your source code.

Free trial/Pricing: Free for 30 days trial, US$20/month for Pro, and US$1500 for Enterprise

Google Rating: N/A

Dasha AI

Headquarters: New York, United States

Release Date: August 2, 2023

Features: Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. 

Free trial/Pricing: Free

Google Rating: N/A


Headquarters: Sunnyvale, California

Release Date: October 14, 2023

Features: Dialogflow is an NLP (Natural Language Processing) platform which is used to develop an application related to the conversations and experiences of the company’s customers in different languages on numerous media.

Free trial/Pricing: Free

Google Rating: 4.3


Headquarters: Boston, Massachusetts 

Release Date: 2024

Features: Drift is a cloud-based live chat, in-app messaging, and email management solution for sales and marketing teams.

Free trial/Pricing: Provides free plan and Pro plan starting from US$2500/month

Google Rating: 4.4


Headquarters: Kharkiv, Ukraine 

Release Date: January 1, 2023

Free trial/Pricing: Weekly US$2.99, Pro Monthly (1 month) US$28.99 

Google Rating: 4.5

Flow Xo

Headquarters: Padiham, England

Release Date: August 29, 2014

Features: Flow XO provides a user-friendly and feature-rich AI chatbot platform that allows anyone to build code-free online chatbots swiftly.

Free trial/Pricing: Offers a free plan and trial with a standard plan priced at US$19

Google Rating: 4

HubSpot Chatbot Builder

Headquarters: Cambridge, Massachusetts

Release Date: March 6, 2023

Free trial/Pricing: Free to use

Google Rating: 4.4

IBM Watson Assistant

Headquarters: Yorktown Heights, New York

Release Date: June 1, 2023

Features: IBM Watson Assistant helps you build conversational interfaces into any device, application, or channel. It has features like model training, language support, and more.

Free trial/Pricing: Free to use

Google Rating: 4.4


Headquarters: California, USA

Release Date: 2024

Features: Imperson develops turnkey chatbot solutions that automate the entire customer journey, naturally, through conversation.

Free trial/Pricing: Free to use

Google Rating: 4.5


Headquarters: Foster City, California

Release Date: November 13, 2023

Features: Inbenta is an AI chatbot powered by Semantic Search and Artificial Intelligence that provides excellent customer experience.

Free trial/Pricing: US$4000.00; $15.00/Per Month

Google Rating: 4.7


Headquarters: New York

Release Date: 2013

Features: Infeedo engages employees, predicts attrition, and answers your queries with the help of conversational AI.

Free trial/Pricing:

Google Rating: 4.8


Headquarters: San Francisco

Release Date: 2011

Features: The Chatbot uses targeted email, in-app messages, and mobile push to encourage customers and takes action to convert them into loyal customers.

Free trial/Pricing: starts from US$65/month for up to one year

Google Rating: 4.5


Headquarters: Paris, Ile-de-France, France.

Release Date: April 26, 1974

Features: itsAlive provides a platform to build chatbots easily and provides services to the brands that stand out.

Free trial/Pricing: Free

Google Rating: 4.5


Headquarters: Austin, Texas, United States

Release Date: December 23, 2023

Features: Jasper’s features include its ability to handle complex queries and respond conversationally and naturally. It also integrates with various communication channels.

Free trial/Pricing: Free

Google Rating: 4.8


Headquarters: New York

Release Date: August 22, 2023

Features: Kasisto is a banking AI chatbot that helps in making it easy in adding new features, services, and channels.

Free trial/Pricing:  

Google Rating: 4.1


Headquarters: European Union (EU)

Release Date: 2024

Free trial/Pricing: Free

Google Rating:4.6


Headquarters: New York, United States

Release Date: 1995

Features: LivePerson offers a Web-based engagement service.

Free trial/Pricing: Starting From $40Annual, Monthly, Quote-based

Google Rating: 2.9


Headquarters: San Francisco, California, United States   

Release Date: 2024

Features: Message broadcasting, drip marketing, A/B testing, audience segmentation, and lead conversion.

Free trial/Pricing: 7-Day Free Trial

Google Rating:4.3


Headquarters: 1779 Trillium Blvd, Spring Hill

Release Date:2010

Features: An intelligent medical and health helper capable of answering difficult medical concerns

Free trial/Pricing: Free

Google Rating:4.4

Microsoft Bot Framework

Headquarters: Hilden, Germany

Release Date:2024

Features: A set of libraries, tools, and services for creating, testing, deploying, and managing intelligent bots.

Free trial/Pricing: Free

Google Rating:4.3

Mobile Monkey

Headquarters: Boston, Massachusetts, United States

Release Date:2024

Features: Adobe Implementers and Consultants

Free trial/Pricing: Mobile Monkey has three pricing plans Free, Pro ($49/mo), and Premier ($149/mo)

Google Rating:3.2


Headquarters: San Francisco California

Release Date:2024

Features: Deep reinforcement learning is used to automate personalized messages and engage in genuine discussions.

Free trial/Pricing: Free

Google Rating:4.8


Headquarters: Oakland, California, United States

Release Date: 2008

Features: Custom, content, learning, community, and voice interfaces that are deployable, multilingual, and free.

Free trial/Pricing: The Developer Plan ($19/month) includes 10,000 channel messages each month, $9 per third-party channel, and $3 for every extra 1,000 messages.

Google Rating:5


Headquarters: Scottsdale

Release Date: 2004

Features: A logically self-contradictory assertion or a statement that contradicts one’s expectations.

Free trial/Pricing: $1,700. per month

Google Rating:4.6


Headquarters: San Francisco

Release Date: 2024

Features: Replika’s emphasis is on a meaningful conversation, it can utilize past contributions to your life and tailor itself as indicated by you. Create a Replika avatar, give it a name, and change how it looks to get started.

Free trial/Pricing: Replika’s Pro membership begins from $19.99 per month

Google Rating: 3+

Headquarters: Gurugram, Haryana

Release Date: 2023

Features: When the AI engine determines that human assistance is required, it seamlessly hands over conversations to your team on Hootsuite.

Free trial/Pricing: This application provides a 14-day free trial

Google Rating: 4+

Headquarters: Campbell, CA.

Release Date: 2024

Features: Make all conversations automatic. Provide a consistently excellent customer experience throughout the customer journey. Deploy and improve bots rapidly and cost-effectively.

Free trial/Pricing: Free

Google Rating: 4+


Headquarters: San Francisco

Release Date: 2023

Features: Powered by machine learning and predictive intelligence. Builds contextual understanding and makes use of the data already in Salesforce to bring the best responses to the surface.

Free trial/Pricing: This application provides a 30-day free trial

Google Rating: 3+

SAPConversational AI

Headquarters: Paris, France

Release Date: 2023

Features: Using a single interface, AI-powered chatbots can be trained, built, tested, connected, and monitored across SAP and third-party solutions to simplify user experiences and business tasks.

Free trial/Pricing: This application provides a 90-day free trial

Google Rating: 5


Headquarters: San Francisco, California, United States

Release Date: 2023

Features: With Smartloop, you can utilize conversational AI to nurture your subscribers depending on their interests, resulting in more sales. You can increase client retention by having one-on-one discussions and sharing compelling material.

Free trial/Pricing: This application provides upto 100 subscribers on a free plan

Google Rating: 5


Headquarters: Herzliya, Tel Aviv, Israel

Release Date: 2024

Features: It is a platform for creativity that enables organizations together messaging experiences across multiple channels. Facebook Messenger, Line, Telegram, SnatchApp, and Skype are just a few examples.

Free trial/Pricing: This application provides 2000 free messages for 14 days in a free trial

Google Rating: 4+


Headquarters: Palo Alto, CA

Release Date: 2023

Features: This incorporates determining the Net Promoter Score, capturing employee feedback, boosting customer satisfaction and turning them into brand ambassadors, undertaking market research to aid decision-making, obtaining insights from website visitors, and more.

Free trial/Pricing: This application provides a 14-day free trial.

Google Rating: 4+


Headquarters: San Franciso, California, United States

Release Date: 2013

Features: The web-based live chat platform is called Tidio Chat. Chat widgets on websites, Facebook Messenger, and emails were included to help agents deal with customers. Tidio allows users to personalize a selection of chat widgets, sidebars, and chat pages.

Free trial/Pricing: Free subscription and its pro version starts from US$15.83/month

Google Rating: 4.3


Headquarters: Malmo, Skane Lan, Sweden

Release Date: 2007

Features: With the help of enhanced chat, chatbots, and video/voice, businesses can communicate with online customers using the digital engagement platform Vergic Engage.

Free trial/Pricing: US$38/month

Google Rating: 4.5


Headquarters: Hong Kong

Release Date: 2023

Features: A complete WhatsApp API solution called WATI is made specifically for small and medium-sized organizations. WATI helps SMBs sell, market, and service their clients more effectively by utilizing its strong chatbots, APIs, integrations, and customer intelligence capabilities.

Free trial/Pricing: US$49/monthGoogle Rating: 3.9

chúng tôi

Headquarters: Orlando, Florida, United States

Release Date: 2013

Features: Natural and human-like chatbot conversations are made possible by’s usage of Natural Language Processing (NLP) and Machine Learning (ML), enabling it to grasp the intent of user questions and offer precise and pertinent information answers.

Free trial/Pricing: US$500/month

Google Rating: 4.7

chúng tôi

Headquarters: New York, United States

Release Date: 2014

Features: With the tool chúng tôi organizations may communicate optimum availability and arrange meetings.

Free trial/Pricing: US$8/month

Google Rating: 4.3

You Chat

Headquarters: Palo Alto, California, United States

Release Date: 2023

Features: YouChat is a chatbot that works similarly to ChatGPT and responds very immediately. With references, it can send letters, translate, provide ideas, summarise content, translate, suggest translations, and even develop code.

Free trial/Pricing: Free

Google Rating: 4.7

Zendesk Answer Bot

Headquarters: San Francisco, California

Release Date: 2023

Features: Zendesk offers prompt responses. With the help of this platform,  can provide reply alternatives as per the clients’ convenience.

Free trial/Pricing: $49 per month

Google Rating: 4.3

Zoho SalesIQ

Headquarters: Chennai, India

Release Date: 2024

Features: Zoho SalesIQ is software that anyone can use to create custom chatbots to automate interactions with their customers or prospects

Free trial/Pricing: Free, premium version has certain charges

Top 7 Conversational Ai Platforms In 2023 That You Must Try

Top 7 Conversational AI Platforms in 2023 that you must try to enhance your business.

Conversational artificial intelligence has the potential to change the way you provide customer support. This technology can simulate human-computer interactions. These platforms may be a game-changer for your customer care staff because of their clever features. However, to receive the top-tier help that AI can provide, you must first choose the top conversational AI platforms for your company. Conversational AI platforms have a wide range of corporate applications, including client acquisition and retention. It can assist you in providing a better customer experience and promptly and efficiently resolving client issues. is one of the top conversational AI platforms which was created with the needs of businesses in mind. Enterprises may use this platform to develop, test, produce, and deploy AI-enabled assistants. The chúng tôi platform has capabilities that improve the entire employee, customer, and agent experience. It has applications in a variety of industries, from media and entertainment to retail. The platform includes a multi-pronged NLP engine, supports over 30 channels, has a flexible deployment architecture, is easy to integrate with bespoke ML models and custom channels, and provides detailed statistics.  


With the aid of AI chatbots, this one of the top SAP conversational AI platforms helps you to automate numerous operations and improve customer service. Top-tier language technology and end-to-end bot development fuel the tool. You can even use Slack to install a bot. Your bot may evaluate text and examine crucial facts using SAP’s sophisticated natural language processing to improve your customer’s talking experience. Multiple languages are supported, and bots can switch between them in the middle of a conversation. The platform interfaces with SAP and non-SAP technologies, as well as providing detailed statistics to help you get the most out of your bots.  


The bot solution for the live chat platform is a custom-built bot for enterprise enterprises. HappyFox Chatbot is designed to minimize your support volume by deflecting tickets. Their main goal is to assist your support crew in doing more with less. HappyFox and Zendesk, for example, can interface with conversational AI platforms. Tickets generated by artificial intelligence-driven discussions can still be escalated to your live agents in this way. Bots aren’t meant to take the place of agents; instead, they may address lower-priority issues so that your team can focus on the more difficult ones. Those that are interested can contact HappyFox for a quote.  


Clinc is of the top conversational AI platforms. This one of the top conversational AI platforms will help you understand customers as you’ve never understood them before. Clinc is best known for creating the most popular virtual assistant for banking self-service. Clinc’s impressive work in the space has been covered by publications such as Forbes, The New York Times, and Venture Beat. Clinc is powered by eight artificial intelligence engines that can process a user’s request from inquiry to the intelligent response. The tool includes powerful natural language processing (NLP) and conversation management features to ensure that conversations flow smoothly and make sense to the customer. You can even give your bots personalities to make sure they match the tone of your company. Because the firm uses a quote-based pricing strategy, potential consumers will need to contact them for additional information.

Among the other top conversational AI platforms, chúng tôi is one of the most popular ones. chúng tôi is a solution designed for enterprises of all sizes. Self-learning AI on the platform can turn your website, chat logs, and outdated bots into a top-tier support crew. The no-code conversation builder from chúng tôi allows you to create templates for talks in different languages without having to know how to code. Its  Users may automate customer-facing procedures and workflows using Mindsay. By combining 


9 Use Cases Of Conversational Ai In Retail

The rapid growth of online retail presents both opportunities and challenges for online retailers seeking business development. The competition intensifies, and customers expect seamless and personalized experiences. 

Conversational AI steps in as a versatile solution, addressing the complications by enabling tailored interactions, enhancing customer satisfaction, and automating various aspects of online retail operations with revenue growth. According to IBM, almost all businesses that use AI-based virtual agent technology (VAT) report a 12% boost in customer satisfaction (Figure 1).

Figure 1. Leaders’ average reported impact of using VAT

Source: IBM Institute for Business Value

In this article, we explain the top 9 use cases of conversational AI in retail.

1- Customer support

Conversational AI can be effectively used for customer support in the retail industry. By incorporating AI-powered chatbots and virtual assistants, retailers can streamline their customer service processes and provide instant, accurate information to retail customers. 

Also, automating various customer support tasks, like answering customer requests, help customer service agents to focus on more high-value and creative tasks.

A conversational AI driven customer support system can assist customers in many ways, such as:

Answering FAQs

Customer authentication

Multilingual support



Salesforce is the CRM market leader and Salesforce Contact Genie enables multi-channel live chat supported by AI-driven assistants. Salesforce Contact Center enables workflow automation for many branches of the CRM and especially for the customer service operations by leveraging conversational AI technologies.

2- Customer feedback analysis

Conversational AI can be used for customer feedback analysis in the retail sector. AI-driven tools can process and analyze large volumes of customer feedback from various sources, such as reviews, social media, surveys, and customer support interactions. 

This analysis helps retail businesses understand customer needs, preferences, and pain points, which can be used to improve products, services, and overall customer experiences.

For those interested, here is our article on the benefits of sentiment analysis in the retail industry.

3- Dynamic customer segmentation

By analyzing customer data and interactions, AI-driven conversational tools can identify patterns and group customers based on their behaviors, preferences, and needs. This enables retailers to:

Create targeted marketing campaigns

Personalize customer experiences

Optimize product offerings

Conversational AI can continuously update customer segments based on real-time data and interactions, ensuring that marketing strategies and product offerings remain relevant and effective.

4- Online in-store experience

Conversational AI can be used to enable an online store for customers, representing some of the in-store functions in online shopping. By incorporating AI-driven retail chatbots, virtual assistants, and other interactive technologies, retailers can recreate aspects of the in-store experience in a digital environment.

For example, the beauty brand Sephora uses conversational chatbots that enable customers to:

Reserve products and pick them up in-store

Search product availability

Ask questions on store timings and returns

Identify products from celebrity photos

Book an appointment in the store

Figure 2. Sephora Virtual Assistant 

Source: Cosmetics Business

5- Order tracking

By integrating AI-powered chatbots and virtual assistants with existing order management systems, retailers can provide customers with real-time updates on their order status, delivery times, and other relevant information. This helps improve customer experience and builds trust in the retailer’s services.

Figure 3. A conversational order tracking 


6- Personalized shopping assistance

Conversational AI can be used for personalizing the shopping experience of customers. AI-powered chatbots and virtual assistants can help customers based on their preferences, purchase history, and other available data. This personalized approach can improve the shopping experience, boost customer satisfaction, and increase sales.

Some ways conversational AI can be used for personalized shopping assistance in retail include:

Product recommendations

Outfit suggestions

Complementary product suggestions

Size and fit assistance

Gift recommendations

For example, the retail giant eBay leveraged its own AI powered shopping bot for enabling personalized experience for its customers.

7- Personalized promotions

Conversational AI can be used for personalizing promotions and discounts tailored to each customer. By analyzing customer data, such as purchase history, preferences, and browsing behavior, conversational AI tools can provide targeted offers and incentives tailored to each customer’s needs and interests. This personalization can lead to increased customer engagement, higher conversion rates, and enhanced customer loyalty.

8- Product details

Conversational AI can be used for providing timely product details to customers. AI-powered chatbots and virtual assistants can access product information from retail stores, databases or product catalogs and present it to customers in a conversational manner. This helps customers make informed decisions and enhances their shopping experience.

Figure 4. Illustration showing IBM Watson Assistant interaction with person asking for a specific color and size shirt

Source: IBM Watson Assistant

9- Payments and refunds

Conversational AI can be used to assist and facilitate payments and refunds in the retail industry, although it is essential to ensure the proper security measures and integrations with payment processing systems are in place. It can provide customers with a convenient way to manage transactions while maintaining a conversational and user-friendly experience.

Some ways conversational AI can be used for payments and refunds in retail include:

Payment processing

Voice-activated payments

Invoice generation

Fraud detection

If you need help in finding the right vendors, we can help:

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





Google To Introduce Conversational Ai Into Its Search Engine

Google has made a bold move in integrating artificial intelligence (AI) into its search tools, signaling the company’s commitment to compete against OpenAI, which is backed by Microsoft, and other AI chatbots. According to Sundar Pichai, CEO of Google’s parent company Alphabet, the opportunity space is even bigger now.

Microsoft, Meta, and many other tech firms are rushing to incorporate AI technologies into their products and services, and Google’s integration of AI into its search tools is a strategic move to stay ahead of the competition. The notion that chatbots pose a threat to Google’s search engine business was rejected by Pichai, who emphasized that the integration of AI into search tools will allow for direct user interaction with large language models.

In this article, we’ll delve deeper into the significance of Google’s integration of AI into its search tools, and how it positions the company in the race to incorporate AI into consumer goods.

Google has recently announced its plans to integrate Conversational AI into its search engine to increase productivity rates amidst pressure from AI chatbots such as ChatGPT. In an interview, CEO Sundar Pichai stated that the integration of Chat AI would help supercharge Google’s ability to respond to a wide range of search queries while engaging users in the context of search engines. This move is set to distinguish Google’s search engine from its competitors and enhance its capability to handle user queries.

Google has been a pioneer in large language models (LLMs) for years, and its decision to integrate AI into its search tools demonstrates its commitment to competing against OpenAI, Microsoft, and other AI chatbots. This move is a clear indication of Google’s intention to stay ahead of the curve, and not be left behind in the race to incorporate AI technologies into products and services.

There are concerns that chatbots, particularly the AI-powered ChatGPT developed by OpenAI, pose a threat to Google’s search engine business. Microsoft’s integration of ChatGPT into Bing has brought about a revolutionary change in the technology industry, and it’s being perceived as a threat to many giants.

However, Pichai rejected the notion that chatbots pose a threat to Google’s search engine business. Instead, he emphasized that the integration of AI into search tools will allow for direct user interaction with LLMs, which will enhance the user experience.

Also read: Google Bard vs ChatGPT: What’s The Difference?

Google has been planning to introduce Chat AI features into its search engine to enhance its productivity rates. Sundar Pichai stated that the integration of Chat AI into the search engine would enable users to engage with Large Language Models (LLMs) effortlessly in the context of search engines. This development will enable users to ask queries and receive responses in a conversational manner.

Google has been facing competitive pressure from AI chatbots like ChatGPT, which prompted the company to develop its conversational AI technology. Although Google’s search engine accounts for more than half of Alphabet Inc.’s revenue, the company could not incorporate its conversational AI technology until now. Pichai stated that adding a chatbot would not threaten the search business but would instead increase the opportunity space.

Also read: How to Get Started with Google Bard

In the interview with WSJ, Pichai also revealed that Google is experimenting with several new search products, including ones that let users ask follow-up questions to their original queries. This move is in line with Google’s commitment to enhancing the user experience and providing more personalized search results.

Google opened its AI chatbot Bard for public access in March but did not integrate it with the search engine. However, Pichai’s recent remarks suggest that Google intends to enable direct user interaction with its extensive LLMs via its search engine.

Google has been generating LLMs that can respond to users’ prompts in a human-like manner. The company has now incorporated its technology into its search engine, which is set to enhance its capability to respond to a wide range of search queries. With the integration of Chat AI, users will be able to raise inputs and engage with LLMs in the context of search engines effortlessly.

Google recently announced the layoff of around 12,000 employees, which accounts for 6% of its workforce. Pichai stated that the company was unable to achieve its target of becoming 20% more productive, which prompted the layoffs. Ruth Porat, Google’s Chief Financial Officer, stated that the company would make spending cuts ranging from dining facilities to computing infrastructure critical for creating and running strong AI algorithms.

Google’s plans to integrate conversational AI into its search engine is set to distinguish it from its competitors while enhancing its productivity rates. With the integration of Chat AI, users will be able to engage with LLMs in the context of search engines, making it easier to receive conversational responses to their queries. Although Google faced cost-cutting pressure, it remained committed to investing in AI efforts to accelerate work on new products. If successful, Google’s integration of conversational AI into its search engine will help it maintain its position as a leading search engine in the industry.

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Top 14 Chatbot Best Practices That Increase Your Roi In 2023

We have examined 25 successful chatbot examples and created a list of chatbot failures before. Now, we want to explain what we learned from studying those chatbot case studies. 

In this article, we provide 14 chatbot best practices to help executives from varieties of industries derive a better ROI from their chatbot implementation.

1. Identify your target audience and understand their needs

Improving customer experience is the first reason why most companies are deploying a chatbot. You should understand who your customers are. This will enable you to create relevant conversation flows including FAQs and special offers.


For Cars24, a company that sells used cars, conversational AI developer Haptik created a chatbot to address frequently asked inquiries, such as the model of the vehicle in order to reduce the workload on contact centers. Initiative reduced call center expenses by 75%, chatbot accounted for 33% of Cars24 total sales.

2. Restrain your ambition and set realistic goals

The scope of your chatbot is crucial. Even Facebook M’s general-purpose answering machine got shut down. So if even Facebook does not want to handle chatbot queries in any context, then maybe you do not too. 

Widening the scope of chatbot is positively related with the:

Our articles on chatbot applications and industry/business function-specific chatbot use cases can help you identify a specific focus area for your bot.

3. Select the right platform for your needs

If you want to see the extensive list of chatbot platforms and voice bot platforms, you can also check our transparent lists.

4. Ensure your chatbot is easy to reach

Customers of today expect quick responses to their requests and, if the chatbot is inaccessible, they might switch vendors. Therefore, AIMultiple recommends companies that the chatbot you deploy should be easily reachable on your website or mobile application. 

Deploying chatbots on both platforms is a smart move, especially if your traffic is split between online and mobile.

Another method for your firm to leverage chatbots is to use pop-up windows. By doing this, you may make sure that your virtual customer service representative is easily reachable.

5. Make sure your chatbot has a character

A live person would triumph over a chatbot in terms of customer satisfaction. A study shows that almost 55% of the time, people prefer to interact with another human rather than a chatbot. However, a PwC survey reveals that over 30% of clients are unable to tell the difference between a chatbot and a real person.

You can further enhance the friendliness and realness of your chatbot by giving it a name, profile picture, etc.  This can increase consumer engagement for your business.

6. Use buttons that eases navigation and improve UX

Torn between writing the word “yes” and pressing the “yes” button, choosing the latter makes more sense. Using buttons in your chatbot helps with usability.

Users should be able to navigate easily while interacting with the bot. Using buttons and quick replies is the easiest way to enable navigation and flow. This improves your bot’s overall user experience along with reducing fallback rates.

These are the best practices for deploying buttons in your chatbot: 

7. Provide users an easy exit

One of the chatbot failure cases is the one where the chatbot doesn’t accept “no” as an answer. For instance, the WSJ bot failed because it wasn’t understanding the unsubscribe command.

To solve this problem, you can add a visible exit button that says something like “Unsubscribe,” or “End the call,” and perform a usability test to see whether the button works or not. Usability testing is critical for bot improvement.

8. Use creative fallback responses

When your chatbot fails, it’s better to respond tactfully rather than messages that look like a 404 error. You should focus on and spend time deciding how the bot will interact with the user when it cannot respond to the user query.

9. Always have a button that directs user to a human

Though businesses are deploying chatbots rapidly, chatbots are still considerably new to users, and trusting a bot (specifically if the user had a bad experience with a bot before) may deteriorate a customer’s experience. Therefore, at least for now, you should expect your chatbot to augment your customer service rather than completely replace them.

10. Enable users re-engage with chatbot when needed

After the conversation ends and the chatbot has provided the information to the user that he/she was looking for, you provide the option to restart the bot to re-engage with the chatbot if needed.

11. Ask users about their experience

Collecting feedback from users is one of the conversion rate optimization best practices. If your aim is to maximize the user experience for better customer conversion, asking users to rate their experience and provide additional feedback will help you understand problems and how to improve the bot.

12. Use Chatbot Analytics to assess chatbot success.

Close attention to user behavior can help identify unintended behavior of the chatbot and improve its functionality. Therefore, we recommend to use chatbot analytics such as:

Total users

Engaged users

New users

Number of missed messages

Retention rate

Bounce rate and more.

To learn more about chatbot analytics you can read our The Ultimate Guide Into 22 Metrics for Chatbot Analytics article.

13. Test your chatbot

The best way of detecting bugs and non functionalities is rigorous testing. Therefore, we recommend businesses to conduct:  

A/B tests,

Understanding the intent tests,

Limit tests,

Domain specific test and more.

To learn more about chatbot testing you can read our Chatbot Testing: A/B, Auto, & Manual Testing article.

14. Work with experts

You can work with digital transformation consultants to enhance the probability of successful deployment. By assessing your business specific conditions they can figure out your real pain points for your digital transformation journey . And thanks to their observations on your company, experience and theoretical background they can provide specific best practices for you like changing your corporate culture for instance.

You can also read our digital transformation best practices article to find generic recommendations for your transformation process.

For more on chatbots

If you want to learn more about chatbots, read:

Finally, to get the latest guides on conversational AI, download our whitepaper:

Finally, if you still have questions on chatbots, feel free to contact us:

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





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