Powerful conversational platform for B2B & B2C use cases
October 30, 2023

Powerful conversational platform for B2B & B2C use cases

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Pypestream

The Pypestream platform is being used to build and deploy Conversational AI Chatbot services. Primarily to help drive self service, meet the customer with a digital virtual assistant, and help with sales and support initiatives. Some goals that the platform assists with are contact center call deflection, automation efficiencies of repetitive tasks, and e-commerce functional support.
  • Native live agent platform
  • Managed services for service creation and maintenance
  • Custom analytics
  • Generative AI - Large Language Model Support
  • Standardized Reporting
  • Custom UI Support
  • Developer Tools
  • Native live agent platform which removes the need for a 3rd party live agent application
  • Service feature assortment - Carousels, Multiple Menu Types, Image, Video, and web hook integrations
  • Custom analytics solution to help you dive deeper in understanding performance and where opportunities exist to improve or expand
  • Enabled the contact center business lane to grow a chat agent support channel that has a 2 to 1 (customer to agent) support ratio
  • Provides an alternate channel for training, marketing information, and data services which help grow our business and support different value streams
  • Azure Bot Service (Microsoft Bot Framework)
In comparison to Microsoft Bot Framework or now Azure AI service structure, where Pypestream is better suited is in those organizations who want to truly have a partner in development. Pypestream allows the flexibility for your Dev teams to do it themselves, or to be in a managed service where you provide requirements and information and they build and allow you to test and give approvals. They are more willing to work directly with you versus a Microsoft where you will eventually get pushed off to a 3rd party partner to help with advanced implementations.

Do you think Pypestream delivers good value for the price?

Yes

Are you happy with Pypestream's feature set?

Yes

Did Pypestream live up to sales and marketing promises?

Yes

Did implementation of Pypestream go as expected?

Yes

Would you buy Pypestream again?

Yes

Pypestream is suited for standard chatbot and conversational flows versus more multi-departmental scenarios. They do very well with guided flow bot services which are great for agent bots within a contact center, but less so for those implementations that have a large document management implementation for FAQs. They do well with service integrations; however, at times troubleshooting edge cases that are impacting performance and adoption can take a while to remedy. I want to believe that better monitoring tools on the platform side would alleviate this for them.