Amazon Connect vs. IBM watsonx Orchestrate

Our company is a startup that is just starting to get wholesale customers. When we realized our customers needed support using our products, we set up a Contact Center via Amazon Connect. It has been very useful in allowing us to scale up very quickly, and provide services to our company as if we were a large corporation.

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In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.

• It helps us connect with ServiceNow as a direct integration.
• It allows us to document everything from the chat with ticket documentation in real time.
• It allows us to track agent and case activities.

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• New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
• Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
• Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.

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• Support for large contact center with more than 1000s of agents.
• Enterprise level solution.
• More supported regions.

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• I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.

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Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.

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It is very easy to use for any access level and has greatly facilitated users' ability to properly document tickets without getting lost in short or vague comments. Each case is fully tracked through this transcription of information. This made it easier for us to decide whether to implement, use, and maintain it as our contact tool in our customer service center.

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With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.

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To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.

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We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Excellent course material.

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Overall the implementation was simple.

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Amazon Connect introduced an analytical and reporting feature, which evaluates the details and the concerns of clients. Besides, Amazon Connect clearly records all the calls, which captures the exact information which we use it in the future. The product is also as important in conducting research, as it maximizes the information that clients issue to us, for successful planning, and business budgeting.

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Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.

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From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.

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• 1 year ROI
• 60% of voice and whatsapp contacts automated
• CSAT, CES and NPS achieved
• Overall call center cost reduced

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• By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
• Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info