Chattermill vs. Lang.ai

Think about large scale ecommerce store (with thousands customers, and hundreds of orders every week). If you want to manage a large scale customer's feedback - this tool is for you. It is too complex for small projects, but for large one it is perfect. Has some minor issues, but in general it will help you to draw a Customer Journey Map, find "hot spots" and implement solutions. Great visualization (in reports) is a huge benefit of Chattermill (and sentiment analysis of course). Thanks to connection between customer support system (like ticketing system) it will allow you to manage support/returns/warranties feedback also. I dont know how it works for other businesses but for large scaled ecommerce it is perfect

Incentivized

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

• collect customer feedback
• automate feedback reports
• pulling insights on customer data

Incentivized

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

Incentivized

• More report types

• 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

Super easy to use and very intuitive

Incentivized

Chattermill is more complex, easier to integrate between systems that we used (ticketing, livechat, reporting, CRM). Very informative reports (that will reveal what your customers really think). Custom reports creation is a benefit too - it is easier than in other systems. Automatic categorization of feedback is a helpful tool that do big part of job for you

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

• Helping reduce churn
• easily 10x return on investment in happy customers
• product ideas and updates that otherwise would not have been surfaced

Incentivized

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

Incentivized