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- W2380078313 abstract "According to the current unfavorable situation of an online supermarket,which often has poor forecast of demand,and fail to take good advantage of its history sales data.Besides,the current system cannot give optimal ordering supports dynamically,a time series method based on the company's existing history data is used to help predict demand,and the effect of retail price to the demand is also involved.By test and verification,we find that the forecast deviation can be controlled below 10%using this method.Then,in order to give optimal ordering strategy of every product and balance service level with inventory level,a revised practice-based(s,S)policy regardless of cost is built to optimize the company's purchasing system.Through practical running results with real data,a raise of 10%-15%of the purchasing efficiency is obtained compared to the current purchasing method." @default.
- W2380078313 created "2016-06-24" @default.
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- W2380078313 date "2014-01-01" @default.
- W2380078313 modified "2023-09-28" @default.
- W2380078313 title "E-commerce Inventory Optimization Strategy Based on Time Series Forecasting" @default.
- W2380078313 hasPublicationYear "2014" @default.
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