Chatbots are built to increase customer convenience while securing potential customers. In particular, there are a lot of chatbots that operate at an advanced level using deep learning. However, even these chatbots sometimes don't get what their customers want. Therefore, by analyzing the correlation between chatbot conversation and purchase rate, the chatbot algorithm must be gradually supplemented in a direction that can increase the purchase rate. We propose that customers' emotional analysis in conversations with chatbots can increase the purchase rate by predicting what visitors are looking for on the website and whether they have led to purchase through conversation with chatbots.
|Data||Data type||Content||Use mode|
|Input data||CSV||Customers' chatbot conversations and whether to purchase them||API|
|Output data||CSV||The answer to the question||API|
|Payment||Subscription method||Attached file upon application|
|Prepaid charge||Online||Customer data required for model creation|
|API Setting||$1,800 ~|