Lang.ai vs. Receptiviti

I've been using Lang.ai in my business for a few months now and it's been great. It's especially useful in scenarios where I need to quickly process large amounts of data, such as customer surveys or sales reports. It can handle text, numbers and images really well. For more complex tasks like natural language processing, Lang.ai is also a great choice.

Incentivized

• Great auto-tagging
• Improved tagging structure and system
• Efficient notes and organisation

Incentivized

• More customization options when creating my own chatbot
• Better integration with other platforms like Slack
• The natural language processing accuracy could be improved to provide more accurate results in certain contexts.

Incentivized

I recently compared Lang.ai with Glassbox, GetFeedback, and Watson Studio by IBM. I found that Lang.ai is the most comprehensive AI-based platform for automated customer feedback analysis. It has features like natural language processing, sentiment analysis, and emotion detection which are not available on the other platforms. Furthermore, Lang.ai's user interface is intuitive and easy to use, making it my top choice for automated customer feedback analysis.

Incentivized

• More time for customer service
• Addresses issues to prevent they occur again
• Identify priority of escalations

Incentivized