Developed by one of the leaders in the AI space, IBM, Watson Assistant is one of the most advanced AI-powered chatbots on the market. Pre-trained with content from your specific industry, Watson Assistant can understand your historical chat or call logs, search for an answer in your knowledge base, ask customers for more clarity, direct them to human representatives, and even give you training recommendations to hone its conversational abilities.
But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
Chatbots also offer much-needed assistance to your customer relations team by handling the most basic inquiries and forwarding more complex ones to the human administrators. They mostly take care of the needs of millennials who prefer live chat. The platform is also ideal for the sale of a wide range of similar products or services; it helps match customer preferences to the right choice. Generally, organizations that have incorporated chatbot platforms in their operations have a better competitive position mainly because of the improved customer service and marketing.
NGChat is a live chat that is fully dedicated to the e-commerce market. It is designed with sales representatives in mind. It provides you with all the information you need about your clients and their e-shop activity. It does this by tracking and monitoring the activity of your clients when they visit your shop, providing an accurate analysis of your client’s activities. This in turn gives you the information you will need to best support your sales strategy. NGChat is a solution that provides you with information which is vital for you as a seller and the e-commerce industry. NGChat…
Pros: Botengine was easy to integrate with our existing Livechat helpdesk program . I am impressed with the ease at which Botengine is able to respond to the most popular of simple questions we get from our customers like; the address of the company , what we do , our subscription rates etc While these questions may appear to be straight forward , they are the most asked question which our customers throw at us . With the coming of Botengine ,we no longer need to bother ourselves with these sort of questions ; Botengine responds to them ,while we await the tough ,complex queries.
Overall: We are now able to leave our Chat on 24/7, when previously we had limited hours (due to staffing) for the Chat. It is still very much a work in progress to ensure the ChatBot has routed to the correct conversations and can sometimes be frustrating to try and figure out why the ChatBot went to a certain scenario over another. The help topics the company provides can point you in the right direction but they are written at a level above the capabilities of a brand new user to bots in my opinion. Determining whether or not no conversation with a client vs a below average conversation with a client (at times) is worth it, will determine whether we continue to renew our monthly subscription.
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.”
Cons: Botengine has reduced the workload on the helpdesk department . However ,I fear we may come one day have an advanced Botengine ,years down the line ; which is able to respond to the current complex queries we respond to and thus when that day comes , why would my employer keep me at the job ,when a Bot can do a better job ,without ever getting tired?