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An Honest Guide to Selecting an AI Customer Support Chatbot

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March 1, 2024
Michal Kaczor
CEO at Cloo

Cloo is not an AI customer service chatbot vendor, so we don’t have a biased angle. We are here to give you unbiased, genuinely helpful advice.

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AI customer support chatbot

The Real Benefits of AI Customer Service Chatbots

AI chatbots are a game-changer in customer service. Here's what they bring to the table:

  • Automate up to 70% of customer queries, significantly reducing operational costs.
  • Deliver instant and consistent responses, enhancing customer satisfaction.
  • Operate 24/7, ensuring your business is always responsive.
  • Drive sales by offering personalized interactions and making direct product recommendations - Zowie can now read your product catalog, including customer reviews, to give customers personalized recommendations.
  • Plus, these chatbots often come with added functionalities like unified contact channels, ticketing systems, and automated FAQ generation. Don’t underestimate those tools - they can truly bring order to the chaos as your organization grows.

Choosing Based on Your Goals

Your primary aim might be to enhance customer experience, boost sales, or both. Specific chatbots cater to different needs: Landbot is great for lead generation and scheduling, whereas Groove focuses on straightforward customer service. Most options will be okay for both purposes, but they will always have a primary focus.

Importance of Channel Integration

Your chatbot should seamlessly integrate with the communication platforms your customers use, such as live chat, email, WhatsApp, and Instagram. Certain tools, such as Tidio, excel at integrating with multiple channels. Others, such as Chatfuel, focus on a handful of them.

Industry-Specific Chatbots

Select a chatbot that aligns with your industry's needs. For e-commerce, for instance, Gorgias integrates with Shopify and Magento to provide contextual customer service. But Gorgias will simply not work for a SaaS business. There are multiple solutions out there and there are good odds there is one that’s built with your industry in mind.

Deep Dive into AI Automation

When Automation Makes Sense

Not every business needs advanced automation. If your priority is personalized service, then surfacing the right information to agents will yield better results than automating responses - in that case, look at tools such as Gladly. But if repetitive queries overwhelm your team, consider more sophisticated automation.

Choosing the Level of Automation

There are basic chatbots with menu-based interactions and advanced ones using AI models like GPT, capable of handling complex customer interactions. Your choice should align with your business's complexity and customer engagement strategy.

Selecting the Right AI Automation

Consider these factors:

  • Your chatbot's effectiveness hinges on the quality and relevance of its training data. Identify where your knowledge base is stored. Is it on websites, in PDF documents, or do you rely on a history of customer interactions? The chatbot you choose should be capable of learning from these sources. For instance, Zowie can be trained using past interactions, offering a dynamic learning process, whereas other platforms like Intercom might not have this level of adaptability yet.
  • Consider the tasks you want your chatbot to perform. Are you looking for a solution that primarily answers customer queries based on your FAQs, or do you need a chatbot that can execute actions on behalf of the user?
  • How much control do you want over the chatbot's interactions? This is crucial for maintaining brand voice and ensuring accurate information. Some AI chatbots offer more flexibility in scripting and response customization, allowing you to fine-tune how the bot responds to specific queries or scenarios. This feature is essential if you want to minimize the risk of the chatbot providing incorrect or irrelevant information, a phenomenon often referred to as "hallucinating" in AI parlance.

Evaluating Additional Features

Think about whether you need features like

  • Ticketing System: A ticketing system can streamline your agents' workflow, ensuring that customer inquiries are organized, tracked, and resolved efficiently. It can improve response times and service quality.
  • Product Tours: Utilizing product tours can be an effective way to educate users about your offerings, potentially reducing the volume of basic inquiry-related customer contacts.
  • Knowledge Base: Implementing a knowledge base provides a centralized repository for your FAQs and other vital information. This not only makes it easier for your team to access and share accurate information but also enables customers to find answers independently, fostering self-service.
  • Multilingual Capabilities: If your business operates across different countries or serves a diverse customer base, multilingual support is crucial. Modern AI technologies are adept at handling multiple languages.
  • Security: Consider the security requirements of your organization. For instance, if your procurement team mandates SOC-2 compliance, it's prudent to eliminate solutions that don't meet this criterion early in your selection process.

The Value of a Free Trial

Experiment with chatbots through free trials to see which one aligns with your expectations. Limit your trials to a two-three options to avoid decision fatigue.

Conclusion

There are numerous considerations in picking the right solution, but the process doesn’t have to be overwhelming. Remember, you're not alone in this - Cloo can help you cut through the complexity to find your ideal chatbot solution.

Free AI consultation

Cloo is not an AI customer service chatbot vendor, so we don’t have a biased angle. We are here to give you unbiased, genuinely helpful advice.

Use our tool for a quick recommendation:

Free AI consultation
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Written by

Michal Kaczor
CEO at Cloo

As a former consultant for Bain, an elite business advisory company, Michal knows how to understand needs of your business and find solutions to its problems. Having worked for several startups and having advised many more, Michal has designed customer support systems and picked the right software.