Using Information Technology Managing Flower Market in Taiwan

This research brings forward the Pleione Formosana Hayata Orchid product market demand forecasting system to assist the traditional market personnel to forecast the demand of its customer in the future. The characteristic of Pleione Formosana orchid is one bulb with one leaf only. It sells by the bulbs. By the time for harvesting the operating personnel need spend much capital on the stock of bulbs in the traditional orchid industry. However, the price of the Pleione Formosana bulbs are changing daily based on the supply and demand in the market. The operating personnel can buy at low price and achieve the objective of short-term stock according to the short-term demand if the information technology can be used to assist them to forecast the demand in the future. It can not only increase the profit, but also enable the backward customer get the fresh bulbs with low price and assist them to reduce the material cost. The back propagation neural network algorithm will be used in the Pleione Formosana Hayata Orchid product market demand forecasting system so that the order demand in the future can be forecasted on the base of the existing order data.