LiveChat vs. Cortana (discontinued)

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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It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.

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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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• Being hosted in Azure solves a massive hosting problem
• The language understanding system has the ability to revolutionize many vertical markets
• Integrating with Cortana Analytics was really simple due to easy to understand documentation

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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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• More partnerships with colleges and schools to increase the workforce with technical knowledge (increase local workforce)
• Have more online training and documentation in other languages
• Have affordable prices for students

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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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IBM Watson Assistant has been early into this market and has improved a lot over time compared to Azure AI Cortana. More documentation related to the services. But Ease of integration Azure AI ranks over IBM Watson Assistant. And again in terms of services offered under the ecosystem, Azure AI precedes IBM Watson Assitant.

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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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• Difficult to ascertain the ROI as we are a software house who have developed a module in our application using Cortana. However for companies that use our software I would say the use of sentiment analysis in our application could free up at least 1 full time resource to be used elsewhere in their organisation.

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Independently Invited by TrustRadius

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