Amazon Connect vs. IBM watsonx Assistant

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.

Incentivized

In scenarios requiring highly specialized technical support, where deep domain expertise is necessary, a virtual assistant may lack the specific knowledge needed to address complex technical issues, It's important to note that the effectiveness of virtual assistants depends on factors such as the quality of training data, customization, and ongoing improvement efforts.

Incentivized

• Auto call distribution.
• Web based scripting.
• Easy chat deployment.
• Call Recording.
• Customer heat check.
• Detailed reporting.
• Live monitoring.

Incentivized

• Provides fast and accurate responses to our customers.
• Learns and adapts, continually improving its responses and recommendations as it interacts with customers.
• Integrates seamlessly with our internal systems and databases.
• We can customize and adjust the virtual assistant's responses and recommendations to suit our customers' specific needs.
• It provides valuable information about our customers' needs and preferences.

Incentivized

• On reports and analytics, [I feel] Amazon Connect is slightly behind, and it should be perfected.
• [In my experience], Amazon Connect lacks social platform integration, which is convenient and resourceful currently.
• [I believe] Amazon Connect should include a queue management feature, for the call centers and customer help.

Incentivized

• Watson Assistant requires some improvement in the way it deals with multimedia content when displayed on the assistant. As of now, IBM Watson Assistant has issues displaying technical diagrams on a small chat window. This is definitely something that needs some improvement.
• It is sometimes hard and time-consuming to create some advanced actions while creating the virtual assistant so I suggest that the IBM Watson Assistant development team would work on creating sample templates for some simple to advanced actions according to industry to help kick-start the process of creating the initial virtual assistant.
• IBM Watson Assistant is great, but it is not magic on its own; it requires more extensions which, in my opinion, are very limited to a few possibilities. Enhancing the extensions with other products, including open-source solutions, ought to be a priority for the Watson Assistant development team.

Incentivized

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.

Incentivized

IBM Watson assistant has come a long way in last few years, and is handling the generative AI chatbot building really well. It is of immense importance to sales strategists like me who are average in coding but have real world cases of lead qualification for sales. IBM Watson is also very intuitively designed with the amazing drag and drop feature. Testing is easy, deployment is pretty straightforward. I could have worked with a little more sales support, but then the whole point of making a conversational AI chatbot is to reduce the sales support intervention - so I guess I will live with that

Incentivized

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.

Incentivized

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!).

Incentivized

Excellent course material.

Incentivized

Overall the implementation was simple.

Incentivized

We worked through a Request For Proposal to check different Contact Center platforms, we evaluated Talkdesk, Amazon Connect and Genesys PureConnect, all of them as a SaaS platforms, and trying to go to a pay per use model. The best option for us was Amazon Connect, with a pure pay per use model according to the minutes of use, instead of the number of agents. As our goal was to automate the maximum number of contacts, we didn't want a license model based in the number of agents

Incentivized

IBM Watson Assistant provides a highly intuitive and user-friendly interface, making it accessible to non-technical users to easily create and deploy conversational agents. Additionally, being a cloud-based platform, it eliminates the need for manual retraining of the bot after each modification, saving time and resources for businesses. This combination of user-friendliness and automation makes watsonx Assistant an ideal choice for building conversational agents at scale.

Incentivized

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.

Incentivized

Over All good

Incentivized

• Amazon Collect has allowed us to scale quickly and retain flexibility.
• Amazon Collect has allowed us to provide omnichannel support as if we were a larger corporation.
• Amazon Collect has allowed us to retain productivity.

Incentivized

• Setting up automated tasks has helped my team to have a cut on time leading in a dynamic change and this service has taken it down by 30%
• Chatbots are a way forward, using this product we receive more queries most of which lead to qualification
• The data provided based on user interactions is so valuable that now we easily know what the intents are and where we can improve with our pitches