LiveChat vs. Oracle Digital Assistant

We needed a mechanism in place to make contact with visitors to our website easier. What we discovered is that it's an excellent tool for creating reports and dashboards that show how soon issues are handled. Our website can now be updated in real-time, and all of our internal teams are really excited to use this fantastic technology. I really recommend [LiveChat] to many friends and past colleagues.

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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.

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• The most important factor of Livechat is their own chat support, I had many requirement from the Sales Head, Support Head to implement features that I was unsure if the product could do. However, as I did the implementation one by one I constantly used the chat support which helped me step by step all the way.
• The UX of the product is pretty simple and intuitive to use. There are quite a few features that we could easily plug and play. We tried going to the market to find a solution that could help us but they did not have as many out of the box features and simple to use
• Their integration between LiveChat and Chatbot is pretty seamless and since both of them are from the same company, it's works pretty well.

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• 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.

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• It has a limited amount of agents, so when you have many customer care employees during one shift it is hard to manage the quantity of active agents.
• When system is overloaded and many customers are waiting in a queue it starts to works slowly (sometimes the program even lags) and you need to refresh the system to write a message.
• Occasionally when you open a new tab, you might lose your current conversation.

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• 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.

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The only issues I have had with LiveChat are the technical glitches within the program. These are not common as in everyday occurrences but when the glitches do happen they tend to have very negative repercussions. This is due to chats with customers being dropped, this may be an internal server issue though and may not happen for everyone.

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Overall very similar in design, but LiveChat had a better interface, better reporting and analytic tools, better mobile support, and just an easier overall feel. The two products are very much alike in the vast majority of ways, but I ended up preferring this product overall. Price points were similar as well, as well as the allowed number of users.

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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. The new beta version has an inbuilt conversation builder which can be used to build conversation without the YAML code.

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• We have a small team so the overall impact is that it is easy for one or two employees to handle a large number of tickets without hiring more people. Plus, you can use this software remotely, save a ton on traveling to and from and office.

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• 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.

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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