Abstract:

Automated customer consulting is a form of automatic customer care and consulting through texting and

chat functions to replace human presence. This research improves the Bi-LSTM language model. We want to increase

an automated customer consultation system’s accuracy and

applicability, which might affect enterprises and traders. Our

question-answer system uses querying the entity and model

textual similarity to match models. Automated customer care

systems use computers or other technology to help customers. It

empowers clients to address problems without human assistance

in customer care. Human resources can address complex

requests or high-value consumers since automation handles

many simple and repetitive activities. Many firms utilize it,

especially fast-growing ones that need to arrange support.