An intelligent ordering system for a fresh food store

• Main Authors: YANG SENBIN, ZHANG XIAOBO
• Format: Patent
• Language: Chinese; English
• Published: 21.05.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a intelligent ordering system of a fresh food store comprising: a commodity sales volume prediction module which is used for determining a discount promotion time point and predicting the sales volume of each commodity before discount promotion; an order module which is used for determining the actual order quantity of each commodity; And a promotion module which is used for acquiring the time point of discount promotion and the discount number of the commodities after the time point of discount promotion from the commodity sales prediction module. According to the system, the recommended value of the order quantity of each commodity every day is provided for the store, so that the order is simpler and more intelligent; The commodities are reasonably and objectivelyordered; The method has the advantages that the richness of commodities capable of being sold in the fresh store is planned comprehensively, the problem that the store loses or is insufficient in supply due to too much or to