The LivePerson Conversational Cloud is a contact center solution used to create personalized, connected customer experiences across voice and messaging. The solution balances human agents, intelligent automations, and Conversational AI, across voice and messaging.
N/A
Rasa
Score 6.0 out of 10
Enterprise companies (1,001+ employees)
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale. Rasa’s conversational AI platform allows companies to build better customer experiences by lowering costs through automation, improving customer satisfaction, and providing a scalable way to gather customer…
If there are situations where a customer is hard to reach, Tenfold allows easy pushing forward of reminders.In a high volume call system, it provides the ability to focus on your productivity and let Tenfold worry about the call logging, scheduling, and general call management on a day by day basis.
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.
The sales reps were very friendly and responsive. If I ever had any questions about our account, pricing, etc., the sales team would respond to my e-mails and phone calls within minutes. They even directed my technical questions to their support staff when it was appropriate. There were several times I asked the sales team technical questions and they always connected with the right support technician.
The tech support was very knowledgeable and quick to respond. Any time I had a problem they always had a solution and it was quick to implement.
The software performed as expected. The popups worked most of the time and performance was never laggy.
Outbound Calls made by Tenfold get automatically logged into Salesforce as their own individual tasks (as OBC (for Outbound Call)), however, these Tasks cannot be titled from Tenfold (e.g. "Following up on a proposal"). Similarly calls using Tenfold always creates a new task, making tasks previously created (e.g. "Call to make first contact"), either act as (mostly irrelevant) placeholders, or tasks that still require editing to make call notes, (defeating the value of the Tenfold on-call, note-taking feature).
When notes are entered into Tenfold, they can be instantly logged into the notes field of the Salesforce Task, however, if the note is longer than the 'Notes' field, this gets transferred to the 'Comments' section of the Task, with no indication that this is where it went. As such call notes can occasionally appear to have not been taken, have gone missing, or just take longer to find.
Occasionally 'click-to-dial' does not work on all numbers you might find in a browser window, and at times the Chrome Extension needs to be reset to get things up and running.
Tenfold's app doesn't automatically connect the call/task at the Opportunity level within Salesforce, which is where we do the majority of our activity. Instead it requires an extra step on every call.
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.
LivePerson has been a great tool for our company and everything is customized. We can customize everything from the canned responses, operator surveys, and customer surveys. We receive a lot of positive information from our customers; and to be able to provide technical support of the website as well as status information for already placed orders is awesome
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.
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
We selected LivePerson LiveEngage, in large part, for the Analytics Builder, which has the ability fully manipulate the reporting data and build custom reports and dashboards rather than picking from prebuilt dashboards. Another benefit was the Design Studio that makes it easy and intuitive to build and change the graphical design of the chat invitations.
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
When we moved over to Salesforce, it was the natural choice to upgrade the phone system used company-wide. I was not a part of the decision-making process, nor do I see any numbers - but from my department, it has made a positive impact on the everyday functions we are supposed to perform.
