Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
Oracle CPQ
Score5.5 out of 10
N/A
Oracle CPQ is a cloud-based application that helps sellers configure the right mix of products or services and create accurate, professional quotes to quickly meet their customers’ pricing needs.
I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
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
I think CPQ had worked so well for our company because of the widespread nature of our associates and tracking orders that were being placed in multiple time zones. My team specifically needed a way of analyzing these orders to track our progress in real time and sort out any supply orders before they became an issue. If you are in a centralized location with a smaller team then this may not yield much use to you.
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. TR verified that a representative sample of customers was invited. More Info
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
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
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. TR verified that a representative sample of customers was invited. More Info
Significant setup time, cost, and maintenance. We have to use an implementation partner
Does not always play well with other software, even Oracle software. While this is improved and being further improved, that it was a third party acquisition means things sometimes require a little extra care
Additional setup documentation and first walkthroughs would be helpful, especially if it was all in one place
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. TR verified that a representative sample of customers was invited. More Info
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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. TR verified that a representative sample of customers was invited. More Info
So far it is all good with BigMachines, looking for new features since Oracle acquisition has created a lot of expectations. We have outlined our limitations (out of box functionality) in our periodic customer successor advice meetings for a while, hope we get a resolution soon. Also, the BigMachines user license fee has increased a lot in the last three years.
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
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
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
The software UI can be as complex or as simple as you need it to be (depending on the business). It does require training others on quote configuration and the order in which to build out order positions prior to configuring a quote. Once users are trained;however, it is fairly straight-forward. The UI is still more static than other new wizard/drag-and-drop models, but it get's the job done
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
It depends upon the day however there are so many failure points with online services, including our internet service, that this is probably closer to 9 with the latest version
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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. TR verified that a representative sample of customers was invited. More Info
Some specific support personal was good and fixed some problems fast using proper solutions. But when one of them went to sleep when we had critical issues and they do unreported commits to our production environment which caused issues and they were hiding it?? you can not give more than a two (maybe even that is too much). They also failed to add a feature for us which also bring the grade down.
They have pretty good training. Our business analysts have been able to go to entry and advanced level training. They have a train the trainer model. Our business analyst attended training, then trained the rest of our staff.
It was a much more technical implementation than we thought. It involved much more code.
Future releases have made and will make administering the tool easier.
EDL consulting had one good developer, but when he was moved off, they were horrible to work with.
The BMI sales team does a “BOA” or a “Business Operation Assessment” which is extremely valuable, not only for them to scope an implementation and get more reach within the organization, but it is also a documentation of business process that most organizations don’t have. It highlights inefficiencies and allows for correction during implementation.
Having a dedicated team (in-house) for implementation is key
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
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
Oracle engagement is ahead. They are active in the development of the tool and provide great support after implementation. They also listen to their customers and offer opportunities to feedback and provide input through activities like the customer advisory board forum.
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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. TR verified that a representative sample of customers was invited. More Info
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
Increased Sales Rep efficiency. Being able to create multiple quotes ACCURATELY and quickly was a game changer.
Large implementation time. It's a little difficult to fit BMI into a SCRUM style build, with multiple working models and prototypes of all 3 simultaneously.
A larger fee for licensing and implementation cost. ROI wouldn't be realized in the first year.
