Multi-mode selectable commodity retail data system

Abstract

The invention relates to the technical field of digital information transmission, in particular to a multi-mode selectable commodity retail data system. The system comprises an inventory recording unit, a commodity identification unit, an expiration reminding unit, a special price mode switching unit, a commodity anti-theft unit and a fund management unit. The expiration reminding unit is used for calculating the number of valid days of the commodity according to the commodity information recognized by the commodity recognition unit, and reminding a cashier when the commodity is expired; the number of days of validity of the commodity can be calculated according to the identified commodity information, a cashier is reminded when the commodity is expired, whether the retail commodity is expired or not can be checked conveniently, reminding before payment of a customer is facilitated, complaints caused by the fact that the customer finds that the commodity is expired after payment are avoided, different preferential modes can be formulated according to actual conditions, and the customer is stimulated to consume.

Description

technical field [0001] The invention relates to the technical field of digital information transmission, in particular to a multi-mode selectable commodity retail data system. Background technique [0002] Retail industry data analysis mainly analyzes various sales indicators, such as gross profit, gross profit margin, and sales per square foot. Taking department stores as an example, different locations in the store attract different numbers of customers. However, when commodities are retailing, due to There are many retail products, and the staff cannot check all the products in time, causing some customers to find that the products have expired after the purchase order is completed, which makes the store face the risk of complaints, which is not conducive to the retail of products, and the current product retail data system cannot be based on the warehouse In view of the accumulation of goods and discounts when the goods are close to the shelf life, some goods will expire...

AI Technical Summary

Problems solved by technology

[0002] Retail industry data analysis mainly analyzes various sales indicators, such as gross profit, gross profit margin, and sales per square foot. Taking department stores as an example, different locations in the store attract different numbers of customers. However, when commodities are retailing, due to There are many retail products, and the staff cannot check all the products in time, causing some customers to find that the products have expired after the purchase order is completed, which makes the store face the risk of complaints, which is not conducive to the retail of products, and the current product retail data system cannot be based on the warehouse In view of the accumulation of goods and the preferential treatment when the goods are close to the shelf life, some goods will be piled up and expired, causing property damage. In view of this, we propose a multi-mode optional commodity retail data system

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