Overall Satisfaction with IBM watsonx Assistant
We at ActiveBuildings have used IBM Watson for our customer end side. We have a tool that lets the users book an appointment for air quality testing and it requires many inputs and answers to questions from the customers for an optimal understanding. The problem we solved with IBM Watson Assistant was building follow-up questions and customer query understanding from the inputs of the customers and it was a colossal improvement based on our internal satisfaction surveys.
- Query Understanding. Natural Language Understanding
- Fast, smart and Accurate
- Customizable on our own data
- Hiqhly pluggable with existing tools and infrastructure
- Cost Effective
- merger of other IBM Watson products like speech and image recognition is required
- Payment plans for early startups
- Self hosted onprem version
- Complete Automation of taking support requests
- Fast resolution of customer queries using our products
- QNA on top our own Knowledge base
So, from our buisness point of view we required a solution which build a follow up system based on the customer's answers. This was not a simple IFTT (if this than that) task and required a smart and accurate NLU (natural language understanding) based system which is accurate and customizable. This solution should be trainable and the intent recognition and the named entity recognition and text classification should be very broad and is able to categorize the customer queries into many broad categories for our internal use case.
All the things mentioned above was possible by using the IBM Watson Assistant. As for the improvements part earlier we used a simple internally developed chat based system and we have to then manually assign a support person whose sole job was to book a support request based on the customer query this was totally automated using IBM Watson Assistant. The customer experience was enhanced as due to the rate of booking a request was improved and was quick as compared to earlier.
All the things mentioned above was possible by using the IBM Watson Assistant. As for the improvements part earlier we used a simple internally developed chat based system and we have to then manually assign a support person whose sole job was to book a support request based on the customer query this was totally automated using IBM Watson Assistant. The customer experience was enhanced as due to the rate of booking a request was improved and was quick as compared to earlier.
- Dialogflow
This part of the review might be not as comprehensive as we haven't done a deep comparison. For our internal use cases, we are already using IBM Watson APIs for speech, text, and image recognition in our products. So it kind of makes sense to continue using the IBM Watson suite of products and our response till now is quite satisfactory with all of the services. Although we still had a little experience trying out Google's Dialogflow for our use case and here is my complete assessment based on our needs.
We found that IBM watsonx's prebuilt frontend GUI is a better alternative and Dialogflow didn't have such options.
Due to the multilingual feature of Dialogflow, it sometimes confused some parts of customers' queries with something else and we didn't need the multilingual part as our use case was English only.
The NLP and machine learning part of IBM watsonx was more broad and accurate than Dialogflow.
The integration with other services was more straightforward and broad in IBM watsonx Assistant.
Do you think IBM watsonx Assistant delivers good value for the price?
Yes
Are you happy with IBM watsonx Assistant's feature set?
Yes
Did IBM watsonx Assistant live up to sales and marketing promises?
Yes
Did implementation of IBM watsonx Assistant go as expected?
Yes
Would you buy IBM watsonx Assistant again?
Yes