Michael Brehm, founder of i2x, explained “We wanted to crack the ‘black box’ of sales calls. Till now, it has been near impossible to gain meaningful insights into conversations. We could pull data on conversions, number of calls, length of conversations, etc. But identifying successful phrases or the correct tone of voice has been challenging.”
An Introduction to Chatbot: With Chatbots being everywhere, the challenge is to develop a well functioning one.
Here is the chatbot tutorial with the basics of creating an AI chatbot.
As per a survey by Oracle in 2017, 80% of business respondents were already using or planned to use AI chatbot by 2020.
These interactive platforms that communicate in a human-like manner offer several benefits — the biggest being round-the-clock availability on email, SMS, live chat, and apps.
With the increased popularity of chatbots, the technologies powering them – namely NLP, AI, and machine learning- are being refined.As a result, chatbots will increasingly be able to hold conversations like humans instead of providing bland cardboard responses because they are designed to understand the nuances of human languages.2.
Data-driven customer insightsThe great thing about AI chatbots is that they can make notes, a.k.a, collect data while they are holding conversations or immediately after it.
Automated supportThis trend will be most apparent in call centers where the employees’ main job is to provide customer support and address customer requests 24*7.
Messenger botsCalls aren’t conducive at all times, and email conversations can stretch out over days, which is why 68% of consumers prefer messaging as the go-to way for staying in touch with a business.