A McKinsey survey found that 65% of marketing managers consider conversational AI-powered self-service customer care a major factor in the decline in call center volume.1 To enhance a company’s omnichannel capabilities, managers also intend to invest in conversational AI solutions like chatbots and intelligent virtual assistants (IVAs) (see Figure 1).
Despite the benefits of chatbots, it might be difficult to identify a chatbot company that is right for your business because each has unique strengths and shortcomings and there are hundreds of chatbot companies.
According to our analysis, Kore.ai is has some drawbacks. Therefore, before working with the company, we suggest potential users to thoroughly evaluate Kore.ai and look into any alternatives that might be a better fit for their company. In this article, we introduce the top 3 Kore.ai competitors using verified user feedback to help managers identify a good alternative.
Kore.ai experience optimization (EO) platform review
Kore.ai experience optimization (EO) platform is a conversational AI platform that offers automated customer engagement services for sales and marketing teams. Thus, while augmenting companies’ workforce, the platform also improves customer satisfaction.
Kore.ai produces chatbots, and virtual assistants for firms that operate in a variety of industries such as: Insurance, e-commerce, hospitality etc. Also, Kore.ai can deploy chatbots on variety of platforms such as:
- Messaging apps such as:
- Facebook Messenger etc.
- Social apps like Instagram
- Mobile apps of companies
- Websites of companies
- SMS etc.
Kore.ai achieves following ratings:
- Capterra: 4.6/5
Kore.ai offers usage-based pricing options which are:2
- Request-based pricing: Each message sent or received by the customer is regarded as a request, and the basic packet costs $0.01 per message. Kore.ai should be contacted to discuss pricing for special plans.
- Session based pricing: Regardless of how many messages are sent or received, each 15-minute bundle counts as one session. Once more, Kore.ai is using a customized pricing structure. You should thus talk to them about it.
- Free demo: You can ask for a free demo of their conversational AI platform.
Cons of working with Kore.ai
- Quality of translation function: Customer feedback suggests that the bots’ automatic translation feature is buggy, which might be troublesome for companies who serve clients worldwide. Customer experience may suffer from a lack of translation (see Figure 2).
- Documentation and Guidance: Some users complain that there is not enough general material on chatbot use cases and best practices (see Figure 2).
- Roll back to the earlier bot version: Versioning bots might be advantageous for businesses because experiment outcomes can be favorable or unfavorable. Customers have complained that the Kore.ai platform does not let users go back to a previous version of the bot.
Figure 2: A client evaluation of the Kore.ai experience optimization (EO) platform.
Top 2 Kore.ai competitors
When we evaluate companies’ websites for their product and case studies and verified user evaluations we come up with following 3 Kore.ai alternatives:
- IBM Watson Assistant
Note that sorting is based on alphabetic order.
IBM Watson Assistant
IBM Watson Assistant is another Kore.ai alternative that managers can consider to collaborate for automating customer conversations. As like Kore.ai and its other competitors, IBM Watson Assistant can be deployed on various digital channels and integrate with CRM systems.
IBM Watson Assistant achieves following ratings:
- AIMultiple: 4.4/5
- Capterra: 4/5
According to Capterra, the basic model of IBM Watson Assistant costs $140 per month. The price of a conversational AI tool rises in proportion to how many features a user requests. IBM also offers the free trial of IBM Watson Assistant.
Pros of working with IBM
- 1. Versatility of conversational AI solutions: The IBM Conversational AI platform makes it simple to implement voice assistants over phone calls and simple chat assistants on websites, according to verified users’ remarks. Additionally, the platform connects well with many other IBM products (see Figure 7).
Figure 7: An example of verified user comment regarding IBM Watson Orchestrate.
- 2. Well prepared documentation: Users note that the product’s thorough documentation makes it simple to comprehend what must be done in order to deploy a chatbot.
Figure 8: A verified user comment regarding ease of use and deployment of IBM chatbot.
Cons of working with IBM
Figure 9 illustrates drawbacks of IBM conversational AI platform.
Yellow.ai conversational AI platform is another one of the top alternatives to Kore.ai. Similar to other companies, Yellow.ai produces virtual agents and intelligent bots that enhance customer experience. As like other companies Yellow.ai engagement cloud provides an omnichannel platform for clients.
Yellow.ai conversational AI platform achieves following ratings:
- Capterra: 4.5/5
The pricing policy of Yellow.ai is not disclosed by either Yellow.ai or outside sources. Yellow.ai does, however, provide a free trial of their product.
Pros and cons of working with Yellow.ai
Image 10 shows general pros and cons of Yellow.ai.
- Chatbot / Conversational AI Platforms
- Top 3 Yellow.ai Alternatives & Competitors Detailed Guide
- Top 7 Conversational AI Platforms of 2024: Detailed Guide
- Top 5 Chatbot Companies in India: Evaluation & Examples
If you need more information to find competitors to Kore.ai alternatives you can reach us:
Cem has been 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 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.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related 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.
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