Web service system for exchanging latex trading data and predicting latex volume

Abstract

This research developed an XML- and SOAP-based web service system that exchanges latex trading data with local latex traders in Hatyai District, Songkhla. The traders’ programs send their data and receive aggregate results, including the latest average prices and total stocks in the area, via web services. They can also exchange alerts among themselves. Assuming that the system receives daily meteorological conditions via another service connected to the Thai Meteorological Department’s system, it employs a decision tree classifier to predict daily latex volume and sends the prediction to client programs. The ability to monitor trading and predict daily latex volume would benefit their business. The system was evaluated by experts in web application development. The results suggested that both the usability of website and the functionality of web services were satisfying.