An algorithm is constructed in this study to estimate the market sizes of daily commodity in Taiwan based on the sampled sales information provided by retailer chains. Though retailer chains provide sampled sales information from only small portions of their retailing stores, they expect to receive more valuable processed information from that. As result of this research, a DSS is proposed to compute value-added information from this joint sales information database, namely the estimation information. Through certain public accessible data such number of stores by each chain and retailers’ financial reports, the sampled sales information can be transferred to the market size information of each item in Taiwan. Two similar algorithms are constructed for convenient stores and supermarkets/hypermarkets separately. A simple integration method is used to combine these results. Finally, a DSS is built based on these estimation algorithms and is implemented successfully
Chern, Ching-Chin; Chiang, David Ming-Huang; and Ho, Ting-Wei, "Development of a DSS to Estimate the Sales for the Retailing Industry in Taiwan" (2002). ICEB 2002 Proceedings. 37.