As chatbot technology matures, bots are becoming increasingly conversational, and better at mimicking human experiences. While our chatbot development services extend to all imaginable scenarios, we’ve noticed a pattern in some of the requests we get. Some of the more popular use cases are:
Across businesses, studies have shown that 70% customer service requests are 100% automatable, and this is what bots are trying to achieve. Unlike other customer bots limited by rigid predefined scripts, we leverage company knowledge bases for customized, contextually-relevant replies to reduce average handle time (AHT) by up to 45%, and increase First Call Resolution (FCR) by upto 50%.
This is one field that sorely needs automation. 43% of candidates never hear back from a company after one touchpoint. Our chatbot developers can help recruiters automate 70-80% of top-of-the-funnel interactions, stay in touch with prospective employees 24/7, maintain a pool of engaged candidates and lower both the cost of hiring and the time to hire.
These are most popular in the context of Retail, Finance, Insurance – essentially places where users need customized advice. We use NLU and Machine Learning models to train our bots in delivering highly personalized replies. Users are categorized based on persona, and replies are given based on behavioral parameters such as time on site, spending activity, demographics etc.