Research On Order Tracking Management System Based On Pervasive Computing

With the continuously development of information technology, the process of economic globalization, multi-polarization, integration and information are accelerating, business models are constantly updating, the traditional business models have not adapt to the market economy. In order to development, enterprises must closely follow the trend of the times, speed up the pace of information, constantly update business models, improve management efficiency, shorten the distance between enterprises and customers to enable enterprises use lower cost to meet customer needs. In order to attract more customers and retain old customers, enterprises must at all times continuously innovate the management mode, constantly improve quality of service to enhance customer satisfaction. In the development of enterprises, orders are the lifeblood of enterprise, so order tracking management becomes extremely important. How to be more smart and efficient order tracking management has become an important research subject for enterprises.Pervasive computing refers to a computing mode anytime and anywhere. With the development of Internet technology and wireless communications, Pervasive computing has been applied to all kinds of. environments, so that people can enjoy many services anytime and anywhere. Pervasive computing has become essential to people's lives.This issue uses the pervasive computing technology to develop a tracking orders and customers management system for customers, which can provide them with the ubiquitous search services. As a result, the customers are able to track their service's status anytime and anywhere, with computer and mobile devices. This issue opens up a new research method for the enhancing interaction between enterprise and customers. Through the research on order tracking management for enterprises, this issue proposes a new data management method for order tracking management. Using XML database to store and manage orders data in the order period, so that the customers always face to a smaller datasets when they enjoy the query service. Meanwhile, store and manage all orders data, enterprises can mine the value data from those historical orders data. And, using XML and metadata to describe order data is able to improve orders data scalability.