Likelihood to Recommend As mentioned in pros and cons, it depends on the use cases. Most of the normal chatbot use cases can be handled by ODA. If you want to build a chatbot with menu style or conversation style (it is not straight forward but it can be done), ODA can be perfect. If use cases are to also include AI with emotional intelligence to make conversational more interactive and also be able to detect through AI engine automatically what a person would like to do or perform or ask, then ODA may not fit for it. If you also are looking for virtual agents through tighter IVR integration then ODA may not be right. There are a few limitations around the number of words in the text to voice feature.
Read full review It would be most suitable to help you attain swift conversation flows as you engage with your audiences. The bots are also of indispensable value in handling repetitive tasks around the firm such as automated HR resourcing expeditions or marketing campaigns or any other important but monotonous tasks. I however admit that analyzing the bot's performance is quite complex, have an RPA specialist around.
Read full review Pros Oracle AI processes natural language well and the conversations pick a good flow. It recognizes pattern of behavior for more refined results with each implementation under machine learning. Read full review SAP has helped me manage my teams cost in material management. SAP Conversational AI has provided with the goal of developing bot analytics to respond to common user face issues when reporting troubleshooting issues with software equipment as well as technical equipment. Has helped deploy new bots to increase response time to employees who require assistance with ordering equipment software as well as application development in software ordering. Read full review Cons Our clients have reported that upon integration with Siri for voice commands, the results are pretty obvious (basic) Nd the conversation is unnatural. The languages it supports are very limited. Read full review SAP can certainly provide better and more clear documentation on how to customize and deploy the chatbot/use SAP Conversational AI. There is lot less developer community around SAP Conversational AI so it is hard to get help from outside developers and experts on best practices, hacks and existing applications/integrations. It is hard to use SAP Conversational AI outside SAP S/4HANA Cloud, for example on AWS or GCP or in a multi cloud environment. Read full review Usability Chatbots have already acquired most of the market and are still trending with the needs of changing market everyday. It will keep evolving with AI and NLP more to offer for improvements. SAP CAI is a good product to add to an enterprise using SAP ERP Suite
Read full review Reliability and Availability Never had an issue. SAP CAI shares the same platform as any other product hosted on SAP Cloud Platform (aka BTP) and depends on your hosting (US, Europe, Asia). Maintenance modes are planned and customers are aware of it well in advance in order to mitigate potential impacts on the service offering.
Read full review Performance It's a pure SaaS platform hosted on SAP Cloud Platform (aka BTP). The experience is pretty much seamless with minimum loadings or noticeable lags. The hosting depends on your location so you may want to make sure the instance is available on a server close to you, such as the USA, Europe or Asia.
Read full review Support Rating Great support from the people of SAP Conversational AI as of the community. Sometimes it takes a little while for folks of the SAP Conversational AI team to answer but this has mostly to do with the overload of questions and users the product has. The gold-support channel within Slack that SAP Conversational AI has, is a great help to distinguish more professional usage and therefore more urgent questions.
Read full review Alternatives Considered I selected Oracle Digital Assistant against all other digital assistant platforms as this platform works like a charm with any Oracle application. It integrates well with Oracle Integration Cloud. Th
e new beta version has an inbuilt conversation builder which can be used to build conversation without the YAML code.
Read full review The platforms have similarities in terms of making the organization more data-driven. However, the use cases are different.
SAP Analytics Cloud is used for reporting, deploying dashboards, and scheduling timely delivery of reporting and analytics. SAP Conversational AI is a more front-end product that end users can directly use to navigate the web application better. Both have strengths in their respective areas. Conversational AI is more recent and cutting edge.
Read full review Return on Investment We've had a good integration with our existing databases and applications. Our customers are crypto traders and we've had more engagement with them, which means a lot to us. Read full review The impact has been very positive for our business objectives. Through the chatbot, our clients can have an immediate response to any of their requests without the need of an intervention of a person or without the use of the telephone or email. Customer satisfaction has been much higher. Read full review ScreenShots SAP Conversational AI (discontinued) Screenshots