Predictive Analytics & AI

chatbot

Chatbots for Customer Engagement

Chatbot technology which uses artificial intelligence (AI) to mimic human conversations has matured over the years and offer sophisticated solutions as of now due primarily to improved, AI-enabled language capabilities. Consumer behaviours and expectations have undergone a seismic shift and the days where consumers are satisfied with traditional online experiences are now past.

It is estimated by 2022, 70% of white-collar workers will interact with conversational platforms on a daily basis.

Businesses both large and small have leveraged chatbots to improve customer engagement, reduce costs and increase efficiency.Chatbots can be used to provide exceptional customer care experiences by offering responses and solutions need to be speedy, accurate, personalised, offer multi-channel interactions and allow consumers to have a greater level of control (such as through self-service solutions). They can also be used for streamlining marketing operations by gathering comparative insights, checking statistics like employee counts and Alexa Ranking, as well as identifying prospective customers.

In addition chatbots can serve as a content delivery channel by delivering content and experiences that are well-curated and customized. By delivering content in a personalized manner that are authentic, engaging companies are able to improve the customer experience and make users feel valued.Chatbots are also a great way for businesses to provide real-time responses — without having to incur substantial manpower costs.

The potential use cases for Predictive Analytics and AI are many and a few of them are as follows.

Customer Segmentation
Predicting Churn / Attrition
Detecting Fraud / Outliers
Making Product Recommendations
Optimizing Inventory Levels
Demand Forecasting
Developing Chat Bots for Customer Engagement