Pypestream vs. Twilio

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.

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I have tried other competitors. But I always end up going back to Twilio because I feel like it is dependable, easy to use, and, has competitive pricing. The only time I wouldn't recommend Twilio to someone as if they are completely inexperienced about using webhooks or APIs. Because you can't really just sign up and start using Twilio without connecting it to another platform first.

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• Native live agent platform
• Managed services for service creation and maintenance
• Custom analytics

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• Easy to see my team in one place, when they log in and out and what call status they are in.
• Twilio is a simple, user friendly way to log in and out of work activities.
• Excellent services and support.
• The omnichannel feature which allows agents to get request from all channels.

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• Generative AI - Large Language Model Support
• Standardized Reporting
• Custom UI Support
• Developer Tools

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• Control panel. Often, navigating through lists is challenging. I want endless scrolling, not pagination.
• Conversational intelligence service require a Language. I would like it to detect it.
• We would like to have some credit on clients that chose to use their own Twilio account.

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Unless we can get this handled quickly -- less than 1 week -- we will likely switch to another provider who, in my opinion, we'll have to spend close to $3,000 in development time to build a new integration for texting. Our clients need texting and I feel Twilio has failed us miserably.

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Twilio has well documented APIs and examples. There are several tutorials, videos and Q&As regarding their services. So, usability is very good. I must say that advanced knowledge of telephony, API/Programming and error-handling is essential to make good use of Twilio. It's not just plug-and-play unless you are integrated with a system that has all of the programming built for it.

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Twilio executes what it is designed to do: send SMS messages at scale while providing very good deliverability. I believe that Twilio is very good at what we use for adding SMS messages to our comms strategy. We can see those messages get opened and replied to, which is exactly what we are looking to achieve.

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I have not had to communicate with Twilio support in the last 3 years but my past experience with them has been very positive. They replied to my previous requests promptly and kept me well informed to resolve my inquiries. With their documentation that's available, I hardly imagine why anyone would need to contact support since it's all there in a concise and easy to understand format. It would probably take you longer to type out a support ticket than to just open their doc websites.

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The developer APIs and SDKs are super easy to follow.

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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.

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We evaluated many fundraising-based text-to-give programs and found the subscriptions prohibitively expensive for our small scale and uncertain first few years of development. While we may be willing to invest that kind of money after discovering how things work, we're happy with Twilio now and have no desire to start over.

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Being in South Africa, direct local currency support would be nice

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• 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

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• We found that associates who had the opportunity to respond to a survey about their assigned job were 37% more likely to return to a job site
• We were able to reduce the number of resources required to manually respond to associates using Twilio Studio, so those resources could have more time to complete other tasks
• We were able to scale the number of associates who received survey messages at least by a factor of 8 without increasing our resource demand

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