Skip links
Odin AI

Conversational AI Platform: Top Picks in 2024

Explore how Odin’s Agentic AI simplifies automation, empowering businesses with intelligent, no-code AI agents for efficiency.

Guru Angisetty AI Tools & Software | Guru Angisetty
October 3, 2024
Share

Conversational AI Platform: Top Picks in 2024

Can your business keep up with the demand for fast, efficient customer interactions? Conversational AI platforms have become essential for businesses to automate communication and provide real-time, human-like support. These AI-powered tools are a necessity for companies looking to stay competitive and meet high customer expectations.

This blog will explore how conversational AI transforms the way businesses manage customer service, streamline internal processes, and boost overall efficiency. 

Whether you’re handling thousands of inquiries a day or striving to improve personalized interactions, conversational AI platforms like Odin AI offer solutions that automate tasks, reduce response times, and maintain customer satisfaction.

Find what matters fast—try Odin AI today! and see how AI can improve your customer experience.

What is Conversational AI?

Conversational AI is the technology that enables computers to mimic real, human conversations. It powers everything from virtual assistants to conversational interfaces used in customer service and sales.

Unlike basic chatbots that follow rigid, pre-programmed responses, conversational AI software leverages advanced technologies like Natural Language Processing (NLP) and Natural Language Understanding (NLU) to understand not just the words a user types but the meaning and intent behind them.

To put it simply, conversational AI software is what allows businesses to go beyond simple yes/no interactions. 

For example, instead of a basic chatbot that can only answer simple, scripted questions, a conversational AI system can engage in meaningful, context-aware conversations.

If a customer asks about product availability, the AI can:

  • Provide the information
  • Suggest related products
  • Handle follow-up questions

Odin AI takes this concept even further by continuously learning from each interaction. This allows its conversational AI software to get smarter over time.

Recommended Reading:
What Is Conversational AI? Everything You Need to Know

Benefits of Conversational AI for Businesses

The rise of conversational AI technology has brought significant benefits to businesses across various industries. By leveraging conversational AI and natural language generation, businesses can improve user experiences, reduce operational costs, and streamline workflows.

Below, we’ll explore some of the key advantages that conversational AI solutions bring to businesses.

1. Improves Customer Satisfaction

Conversational AI can improve customer satisfaction by providing instant, relevant responses to customer queries.

Unlike human agents, AI can operate 24/7. Customers no longer have to wait on hold; AI responds immediately. This guarantees quick issue resolution, which improves overall customer experience.

AI also analyzes past interactions to offer tailored responses. For example, a conversational AI assistant can greet returning customers by name and recommend products based on previous purchases.

2. Reduces Operational Costs

One of the primary reasons businesses turn to conversational AI platforms is the potential for cost reduction. By automating routine tasks that typically require human intervention, companies can reduce labor costs while maintaining a high level of customer service.

How conversational AI reduces operational costs:

  • Automating repetitive tasks
  • Scaling customer service
  • Minimizing human error

AI manages basic inquiries and routine processes like checking order statuses and answering FAQs. This minimizes the need for a large customer service team.

As businesses grow, so do customer inquiries. Conversational AI technology can handle multiple conversations simultaneously.

Automated systems reduce the likelihood of mistakes in customer service, especially in tasks like order processing or providing accurate information.

Boost satisfaction and save costs—try Odin AI’s conversational AI today!

Odin AI conversational AI platform

Key Features to Look for in Conversational AI Platforms

When choosing conversational AI platforms, it’s important to know which features will benefit your business the most.

Here are the key features to prioritize when evaluating conversational AI platforms.

1. Robust AI Capabilities

At the core of any good conversational AI platform is its ability to understand and interact with users in a natural, human-like manner.

What to look for:

  • NLP and NLU
  • Machine learning (ML)
  • Contextual awareness

The platform should be able to understand complex human language. This includes slang, variations in tone, and multiple languages.

A good platform should continually improve over time by learning from user interactions. This helps the system become more accurate and capable as it processes more conversations.

The AI should be able to maintain context throughout a conversation. It should remember previous exchanges and make intelligent decisions based on that context.

2. Easy Set-Up and Integration

One of the biggest challenges for businesses implementing new technology is how easily it can be integrated into their existing systems. A conversational AI platform should offer easy setup and integration with your business’s current tools and workflows.

What to consider:

  • Seamless integration
  • Customization options
  • Quick deployment

Look for platforms that integrate with your CRM, help desk software, e-commerce platform, and other key business tools. For instance, integrating Salesforce with Odin’s AI agent creates a powerful solution for streamlining customer interactions and automating sales processes.

Every business is unique, so the platform should offer customization options that allow you to tailor it to your specific needs.

The faster you can deploy the AI system, the quicker you’ll start seeing its benefits. A good platform should be easy to configure without requiring extensive technical skills or large IT teams.

3. Omnichannel Communications

Modern customers expect to engage with businesses across multiple platforms, whether that’s through a website, social media, messaging apps, or even voice interfaces. Therefore, it’s essential that your conversational AI platform supports omnichannel communication.

Key omnichannel features:

  • Multiple communication channels
  • Consistent experience
  • Real-time responses

The platform should be able to handle customer conversations across various channels. This includes voice, text, email, live chat, and social media.

The AI should provide a consistent and unified experience across all channels. For example, if a customer starts a conversation on your website’s live chat and then moves to email, the AI should be able to continue the conversation without starting from scratch.

No matter which channel the customer uses, the AI should be able to respond instantly. This helps maintain engagement and keeps users satisfied by providing timely assistance.

Improve your customer interactions with Odin AI today!
Recommended Reading:
How to Use AI to Automate Tasks (+5 Platforms)

Top Conversational AI Platforms

When it comes to selecting the best conversational AI platform for your business, it’s important to compare the top options available. Below is a look at the 12 best conversational AI platforms for 2024, with Odin AI leading the way as the most advanced and versatile option on the market.

#1 Odin AI

Odin conversational AI

Odin AI is a top-tier conversational AI platform built to help businesses deliver exceptional customer experiences through automated, intelligent conversations.

What makes Odin AI unique is its ability to create contextually aware and human-like interactions across various communication channels.

Odin AI offers businesses the tools to automate workflows, enhance engagement, and optimize customer support by leveraging advanced technologies like:

  • Natural language processing 
  • Machine learning 
  • Deep integrations with business systems

Odin AI processes complex queries with high accuracy. This guarantees human-like conversations and reduces misunderstandings during interactions.

With Odin AI’s omnichannel support, you can communicate across multiple channels. The platform also learns from past interactions to offer more personalized responses over time. You can tailor Odin AI’s conversation flows to fit your business’s unique processes.

Odin AI integrates effortlessly with major CRM systems and e-commerce platforms, ensuring smooth data flow and easy access to relevant customer information.

Whether a company needs to automate customer service, streamline internal processes, or improve user interactions, Odin AI delivers flexibility and scalability to meet diverse business needs.

Designed to serve industries like e-commerce, finance, healthcare, and more, Odin AI is equipped to handle a wide range of use cases.

Elevate your customer interactions with Odin AI—book a demo today and see how it can transform your business!

#2 IBM Watson Assistant

IBM Watson Assistant

Source: Ibm.com

IBM Watson Assistant is a robust conversational AI platform designed for businesses looking to automate and improve customer interactions.

Watson Assistant leverages advanced AI technologies to understand customer queries and provide accurate, contextually aware responses.

It supports integration with multiple communication channels, such as web, phone, and messaging apps.

Additionally, the platform offers industry-specific solutions, particularly for sectors like healthcare, finance, and retail.

Pricing plans for IBM Watson Assistant:

  • Lite: $0
  • Plus: Starts at $140/month
  • Enterprise: Custom pricing

#3 Amazon Lex

Amazon Lex

Source: Aws.amazon.com

Amazon Lex is a conversational AI platform that enables businesses to build powerful voice and text interfaces using the same technology as Amazon Alexa.

Lex excels in automatic speech recognition and natural language understanding. This makes it suitable for voice-activated systems and chatbots.

It integrates smoothly with other AWS services, such as Lambda and DynamoDB. It provides a comprehensive solution for developing conversational interfaces that can automate customer service tasks, provide technical support, or assist in e-commerce scenarios.

Pricing plans for Amazon Lex:

  • Text requests: $0.00075 per text request
  • Speech requests: $0.004 per speech request

#4 Google Dialogflow

Google Dialogflow

Source: Cloud.google.com/dialogflow

Google Dialogflow is a highly scalable conversational AI platform that enables businesses to create virtual agents that support both voice and text interactions.

It uses Google’s powerful natural language understanding to accurately interpret complex user inputs and provide relevant responses.

Dialogflow integrates seamlessly with Google Cloud and other third-party platforms. This offers businesses flexibility and deep customization options.

It supports over 20 languages, which makes it suitable for companies with a global audience.

Pricing for Google Dialogflow:

  • $0.007 per text request
  • $0.001 per second of audio input/output

#5 Microsoft Bot Framework

Microsoft Bot Framework

Source: Dev.botframework.com

Microsoft Bot Framework is a comprehensive AI platform that allows businesses to build, deploy, and manage conversational agents across a variety of channels. This includes Microsoft Teams, Slack, and Alexa.

The platform provides speech-to-text and text-to-speech capabilities, so it can handle both voice and text-based interactions.

The framework offers comprehensive developer tools. Businesses will be able to customize and build highly specific conversational flows that meet their exact needs. This makes it a popular choice for enterprises looking to integrate AI-driven solutions across multiple platforms.

Pricing for Microsoft Bot Framework:

  • Free plan: Standard channels (Unlimited messages), Premium channels (10,000 messages per month)
  • S1 Plan: Standard channels (Unlimited messages), Premium channels ($0.50 per 1,000 messages)

#6 Yellow.ai

Yellow.ai

Source: Yellow.ai

Yellow.ai is a conversational AI platform designed for businesses seeking scalability and multi-language support.

It offers AI-driven automation for customer service, human resources, and other business processes. It supports over 135 languages and 35 communication channels.

The platform’s architecture handles large volumes of inquiries. This provides businesses with real-time solutions that improve operational efficiency.

Yellow.ai’s flexibility makes it suitable for businesses of all sizes, from startups to large enterprises.

Pricing plans for Yellow.ai:

  • Free plan
  • Enterprise plan: Custom pricing

#7 Cognigy.AI

Cognigy.AI

Source: Cognigy.com

Cognigy.AI is an enterprise-grade conversational AI platform designed to automate contact centers and improve customer experiences.

With strong backend integration, Cognigy.AI enables businesses to create highly customizable virtual assistants that can handle complex customer service tasks.

It is designed to facilitate smooth interaction between AI and human agents. This guarantees that more challenging queries are passed on.

Cognigy.AI’s robust capabilities make it suitable for businesses looking to provide a hybrid AI-human experience in customer service.

Pricing for Cognigy.AI:

  • Custom pricing

#8 Aisera

Aisera

Source: Aisera.com

Aisera is a conversational AI platform focused on automating processes in IT, customer service, and HR.

It uses AI-driven predictive interactions to proactively address customer and employee needs.

Aisera integrates well with existing business systems and operates across multiple communication channels, including voice, chat, and email.

The platform is particularly known for its ability to predict and resolve issues before they are escalated.

Pricing isn’t available on their website.

#9 Avaamo 

Avaamo

Source: Avaamo.ai

Avaamo is a conversational AI platform built for enterprise use. It specializes in industry-specific solutions for sectors like healthcare, insurance, and banking.

The platform uses natural language processing and machine learning to automate complex conversations and improve user engagement.

Avaamo is capable of handling both voice and text-based interactions. This makes it a versatile tool for automating customer service, patient interactions, or claims processing.

Its pre-built solutions make it particularly well-suited for industries that need tailored AI experiences.

Pricing isn’t available on the website. 

#10 Oracle Digital Assistant

Oracle Digital Assistant

Source: Docs.oracle.com

Oracle Digital Assistant is a feature-rich conversational AI platform that integrates voice, text, and chat interfaces to create smooth conversational experiences.

It integrates with Oracle Cloud applications, which makes it suitablel for businesses already using Oracle’s ecosystem.

Oracle Digital Assistant can handle both customer-facing and internal business tasks, such as answering HR-related questions or processing purchase orders.

Pricing plans for Oracle Digital Assistant:

  • Oracle Digital Assistant Cloud Service: $0.0232 (per request with a minimum of 250 requests per hour)

#11 Boost.ai

Boost.ai

Source: Boost.ai

Boost.ai is a conversational AI platform that provides cloud-based and on-premise solutions for businesses across industries such as finance, insurance, and telecommunications.

It uses self-learning AI to improve the quality of responses over time. This makes sure that its virtual agents become more effective as they interact with users.

Boost.ai supports omnichannel communication. This allows businesses to provide seamless customer support across multiple platforms–websites, apps, and social media.

Pricing plans for Boost.ai:

  • Custom pricing

#12 Tars

Tars

Source: Hellotars.com

Tars is a conversational AI platform that focuses on optimizing conversion funnels and automating customer interactions through conversational landing pages.

It’s especially useful for businesses looking to improve lead generation and conversion rates.

Tars supports a wide range of industries. It offers pre-built chatbot templates and the ability to customize workflows to suit specific business needs.

Its strong focus on boosting conversions makes it a favorite for businesses in marketing and sales.

Pricing plans for Tars:

  • Starter: Free
  • Freelancer: $19
  • Agency: $69

Use Cases and Applications of Conversational AI

Conversational AI systems have evolved to serve many different industries. These systems use natural language processing and machine learning to automate repetitive tasks, streamline processes, and provide personalized customer service. 

Below are some of the most common use cases and applications of conversational AI solutions in various sectors.

1. Customer Service

One of the most popular uses of conversational AI is in customer service operations, where businesses can provide immediate, automated responses to customer inquiries.

Conversational AI platforms can handle large volumes of requests simultaneously. They can offer quick solutions to common questions such as order tracking, account management, or technical troubleshooting through conversational interfaces.

Key benefits for customer service:

  • 24/7 availability
  • Reduced workload for support teams
  • Personalized experiences

AI-powered assistants provide support at any time. This reduces wait times and improves the overall customer experience. Automating routine inquiries allows human agents to focus on more complex issues. 

By leveraging machine learning, AI can also draw from user history to offer tailored responses.

Odin AI customer service flow

2. Virtual Assistants

Conversational AI powers virtual assistants. From tools like Google Home and Amazon Alexa to custom-built enterprise solutions, virtual assistants use natural language processing to handle a wide variety of tasks. 

This includes scheduling, reminders, and information retrieval, all through conversational interfaces.

Key benefits of virtual assistants:

  • Personalized recommendations
  • Voice and text interaction
  • Automating tasks

Based on past interactions, virtual assistants offer tailored recommendations. They work across both voice-activated devices and text-based interfaces. 

They also automate repetitive tasks such as setting reminders, sending messages, or controlling smart home devices.

3. Automated Market Research

Companies are leveraging conversational AI solutions for automated market research. They use AI-driven conversations to gather valuable customer feedback in real time.

Key benefits of automated market research:

  • Real-time feedback
  • Sentiment analysis
  • Reduced costs

Conversational AI systems enable companies to gather instant feedback. Natural language processing allows AI to analyze the tone and sentiment of customer responses. This helps businesses understand customer opinions on their products. 

4. Automated Sales

Conversational AI is also changing sales processes by automating customer interactions throughout the sales funnel. AI sales assistants can engage potential clients, provide product recommendations, answer questions, and guide customers toward making purchases.

Key benefits for sales:

  • Lead qualification
  • Upselling and cross-selling
  • 24/7 sales support

AI can qualify leads by engaging prospects and gathering important details about their needs and preferences. Conversational AI suggests complementary products based on the customer’s current interests. 

AI manages initial customer inquiries around the clock. This guarantees potential leads are nurtured even outside business hours.

Transform customer service with Odin AI’s conversational AI platform!
Recommended Reading:
Exploring the Difference Between Chatbots and Conversational AI

Evaluating Conversational AI Platforms for Your Business

Choosing the right conversational AI platform for your business can have a big impact on your customer service, sales processes, and overall efficiency. 

These are some key considerations to help you make an informed decision:

1. Define Your Goals

Before selecting a conversational AI platform, it’s important to have a clear understanding of what you want to achieve. Different platforms offer different features, so knowing your goals will help you narrow down the options.

Questions to ask yourself:

  • Do you want to improve customer service response times?
  • Are you looking to increase sales through automated recommendations?
  • Is your goal to reduce operational costs by automating routine tasks?

Having clear objectives will guide your decision-making process and guarantees that the platform you choose aligns with your business goals.

For example, if your primary goal is to improve customer service, look for a platform that excels in handling customer queries, integrating with your CRM, and providing 24/7 support.

2. Evaluate Core Features

The effectiveness of a conversational AI platform largely depends on its core features. While most platforms offer basic AI-driven conversations, the level of sophistication and customization varies.

A platform with strong NLP capabilities will be able to understand and process complex queries. This includes slang, multiple languages, and varied sentence structures.

A platform that can learn from user interactions and improve over time is important for businesses that expect to scale their AI usage.

3. Usability and Scalability

It’s important to evaluate how easy the platform is to use and how well it can scale with your business. A system that is overly complex or difficult to implement could slow down your operations rather than improving them.

Consider these factors:

  • Ease of setup
  • Customization options
  • Scalability

Look for platforms that offer a user-friendly interface and can be set up without requiring extensive technical knowledge. This guarantees a quicker deployment and smoother transition.

Check that the platform allows you to customize conversation flows, response styles, and integrations according to your business needs.

As your business grows, the platform should be able to handle an increasing volume of interactions. Whether you’re expanding your customer base or adding new communication channels, the platform must scale accordingly.

For instance, a small business might start with a basic package but needs the ability to scale up as customer inquiries increase. 

4. Support and Maintenance

A reliable conversational AI platform should come with strong customer support and ongoing maintenance to guarantee that it remains effective over time. Regular updates are important for keeping the AI up to date with evolving user behaviors and language patterns.

Key considerations:

  • Customer support
  • Maintenance and updates
  • Customization support

Check that the platform provider offers comprehensive support, whether through chat, phone, or email. Quick access to support can make a big difference when technical issues arise.

Look for platforms that provide regular updates to their AI models. This makes sure that the system continues to improve and adapt to new challenges.

Some platforms offer dedicated support for customizing the AI to fit your business’s specific needs, which can be a valuable resource if your requirements are complex.

5. Analyze Costs and Security

Understanding the costs associated with a conversational AI platform is important to making the right choice for your budget. Costs can vary widely based on the features offered, the scale of use, and additional services like customization and support.

What to consider when analyzing costs:

  • Pricing structure
  • Hidden costs
  • Return on investment (ROI)

Some platforms offer pay-as-you-go models, while others charge based on the number of interactions or users.

Be aware of any additional fees for support, integrations, or scaling up as your business grows. Understanding these costs upfront can help prevent unpleasant surprises later.

Consider how the platform will save costs or increase revenue. For example, automating customer service can reduce the need for a large team, leading to long-term savings.

In addition to costs, security is an important consideration, especially if your AI platform handles sensitive customer data. Look for platforms that comply with industry security standards like GDPR and HIPAA.

Transform your customer interactions with the power of conversational AI. Try Odin AI now!

Upgrade Your Business with Odin AI, the Leading Conversational AI Platform

Odin AI

Odin AI is the best conversational AI platform for businesses looking for a versatile, scalable, and advanced conversational AI solution.

With its cutting-edge AI technology, powerful features, and ability to deliver truly human-like interactions, Odin AI stands out as the top choice for automating customer interactions.

If you’re ready to take your customer service and business operations to the next level, Odin AI is the solution you’ve been looking for.

Book a demo today to experience the full capabilities of Odin AI and see how it can upgrade the way your business communicates with customers.

Have more questions?

Contact our sales team to learn more about how Odin AI can benefit your business.

FAQs About Conversational AI Platform

A conversational AI platform is a system that enables computers to engage in human-like conversations with users. These platforms use technologies like Natural Language Processing (NLP), Machine Learning (ML), and Natural Language Understanding (NLU) to understand and respond to user inputs in a meaningful way. They can handle text or voice interactions across multiple communication channels.

The best conversational AI depends on your business needs, but platforms like Odin AI, IBM Watson Assistant, and Google Dialogflow are top choices. Odin AI, for example, stands out with its advanced machine learning, omnichannel integration, and scalability.

A well-known example of conversational AI is virtual assistants like Amazon Alexa or Google Assistant. In business contexts, platforms like Odin AI power automated customer service bots that can handle queries, provide product recommendations, and assist with transactions in real time.

Yes, ChatGPT is a conversational AI. It uses Natural Language Processing to generate human-like responses based on input from users. ChatGPT can engage in detailed conversations, answer questions, and assist with tasks.

Most offer seamless integration with CRM systems, help desk software, and other essential business tools. This enables businesses to have a smooth data flow and more efficient operations without disruption.

Many conversational AI platforms, including Odin AI, are designed for ease of use. They offer quick deployment and minimal setup requirements, so even businesses without large IT teams can implement these platforms efficiently.

Yes, modern conversational AI platforms are designed to manage both voice and text-based interactions. This flexibility allows businesses to offer support across multiple channels, including voice assistants, live chat, and social media.

By providing instant, personalized, and accurate responses, conversational AI platforms keep customers satisfied and engaged. They also follow up on unresolved issues. This increases customer loyalty and reduces churn rates.

Conversational AI can handle a large volume of inquiries, reduce the need for a large support staff, and improve efficiency. This makes it an excellent investment for small businesses looking to scale without increasing operational costs.

Companies track key performance indicators (KPIs) such as response time, customer satisfaction scores, the number of automated interactions handled, and cost savings from reduced staffing needs to measure the success of conversational AI platforms.

Explore
Drag