Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology

Engku Fadzli Hasan, Syed Abdullah and Azrul Amri, Jamal and Rohana, Ismail and Hasni, Hassan and Nur Farah Afifah, Ahmad Sukri (2017) Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology. In: The 5th International Conference on Artificial Intelligence, Computer Science, & Information Technology, 31 July 2017- 1 August 2017, Batu Ferringhi, Pulau Pinang.

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Abstract

Instant messaging (IM) has become a popular way to communicate with clients and customers in the business world. IM is a natural way for businesses to provide real-time services to customers. It adds a flexible and comforting human element to an otherwise automated process. Nevertheless, online business activities using IM involve a lot of repetitive and redundant tasks. Current IMs only allow information sharing without any business transactions functionalities. Manually managing business on IM is highly time consuming. At present, there are no framework available for automated online business transactions utilizing IM. The objective of this study is to propose a framework for online business transactions such as product information, inventory, and order process via automated IM called Virtual Assistant (VA). The system uses Natural Language Processing and collected database. A prototype will be developed based on the proposed framework. It is anticipated that the proposed approach will serve as an automated customer service consultant that will enable fast and efficient online business transactions.

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