Gorgias vs. Rasa

Gorgias is one of the easiest platforms I've used, as it was easy to navigate. You can customize your views so you can easily track them. The shared views are also specific and convenient. The search button is also one thing I like, as it easily shows what you're looking for with just keywords, email addresses, or any information.

Incentivized

I have been using the platform for over 3 years and I have noticed a very good evolution, in an attempt to reinvent themselves. The support team is amazing, always available to work out with us in achieving the best results. About the technology, the algorithms available in the platform suits most of the cases. Being language agnostic is a very positive point for us, because some big tech platforms have little support for PT-PT language.

Incentivized

• Gorgias AI, it able to replied to tickets with the brand of voice and the approached that aligned with our brand voice.
• Integrations that can be connected to multiple shopify stores, including messaging channels.
• Auto tagging on ticketing better categorizing when search.

Incentivized

• Rasa team has Top notch AI knowledge
• Greate customer support, by listening towards the clients needs.
• And building future proof solutions around client Business Requirements within dazzling timeframes

Incentivized

• Maybe in sending our response, it would be nice if the undo button was longer than 5 seconds.
• Alt + enter should be disabled as we could accidentally press this, and the emails are automatically sent.

Incentivized

• Rasa CALM flows and Rasa domain could be made fully independent of the Rasa training process and dynamically retrievable from e.g. a graph DB. This would make the chatbot more flexible.
• Prompt templates, or at least paths could be referenced in Rasa config. Different policies in the Rasa config could then be configured without code change to use different prompt templates
• LLM configuration should rather be part of the endpoints, than model configuration.
• Rasa Studio could support all the functionality of Rasa Pro.

Incentivized

It's pretty straightforward, but it does take a little getting used to for many people. I would almost recommend having an "expert" have someone sitting nearby to coach the user for their first experiences with the software, as well as setting options to be limited. As otherwise, there can be moments that are just too much at once for some users

Incentivized

With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.

Incentivized

Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented

Incentivized

We selected Gorgias from Zendesk based on its Shopify integration. Given how many stores we were managing the team needed to quickly find all of a customer's information in an email. We preferred it to Zendesk. However, now that I use intercom I have many more features such as surveys, topics, extensive reporting, auto tags, and series I prefer intercom for my work now

Incentivized

Glean - proprietary semantic search algorithms, no backend actions integration IBM Watsonx - complicated dialogue builder, poor separation of no-code and pro-code interfaces ELMOS (agent based) - all logic in code, no dialogue logic in no-code interface possible Rasa - transparent and simple sharing of objects between no-code and pro-code interfaces. Transparent LLM usage and restrictions. Simple backend integration via Rasa SDK

Incentivized

• Drastically reduced our response time from 2 business days, to 2 hours on average.
• Made it easier to sync data for damaged item, allowing us to better understand damages.
• Allowed us to easily see that statistics of what kind of issues we are seeing from our customers.

Incentivized

• Reduced Human Connected Calls Per active User
• Improved Calls disposed by Voice Agent
• Reduced call wait times

Incentivized