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A new retail code scanning data anomaly detection method based on cloud POS machine

A POS machine, data exception technology, applied in the directions of fault handling, error detection/correction, and electrical digital data processing that are not based on redundancy, can solve the problems of intentional scanning code not submitting, not scanning code sales, abnormal volume and price, etc. , to improve the classification accuracy, save manpower and material resources, and improve work efficiency.

Active Publication Date: 2021-11-19
INSPUR SOFTWARE CO LTD
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Problems solved by technology

[0003] Retailers have many problems when using cloud POS machines, mainly including six types of problems: non-scanning code sales, missed scanning, centralized non-scanning codes, scanning codes for some transaction products, intentional scanning codes without submission, and abnormal volume and price. Make it difficult to guarantee the high quality level of terminal data

Method used

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  • A new retail code scanning data anomaly detection method based on cloud POS machine
  • A new retail code scanning data anomaly detection method based on cloud POS machine
  • A new retail code scanning data anomaly detection method based on cloud POS machine

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Embodiment Construction

[0039] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be described in detail below in conjunction with the embodiments. It should be noted that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] The cloud POS machine-based new retail code scanning data anomaly detection method is firstly based on the cloud POS machine system, combined with intelligent recognition model, time fitting analysis model and machine learning classification algorithm model, to construct a real-time code scanning based on cloud POS machine Data anomaly monitoring system; then collect retailer sales record data from code scanning terminals in stores in various regions, and initialize the retailer sales record data, and take the abnormal values ​​in the coding and processing fields of the retailer sales record data ...

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Abstract

The present invention particularly relates to a new retail scanning code data abnormality detection method based on a cloud POS machine. This new retail code scanning data anomaly detection method based on cloud POS machine, from the perspective of terminal data quality, summarizes the problems existing in the terminal sales process, and uses intelligent recognition models, scanning code time fitting algorithm and machine learning classification The algorithm monitors, detects and feeds back the operation status of the terminal in real time, which not only saves a lot of manpower and material resources, greatly improves work efficiency, but also greatly improves the classification accuracy rate; combined with the operation results, suggestions for improvement are given to help improve the construction of modern terminals and the development of new retail .

Description

technical field [0001] The invention relates to the technical field of retail terminal data detection, in particular to a method for detecting abnormality of new retail scan code data based on a cloud POS machine. Background technique [0002] The construction of modern retail terminals plays a vital role in brand cultivation, publicity and promotion, and consumption tracking. Therefore, the quality of terminal data directly determines whether the retail terminal can play a correct role in the formulation of market strategies such as data marketing, brand cultivation and development, and supply of goods. [0003] Retailers have many problems when using cloud POS machines, mainly including six types of problems: non-scanning code sales, missed scanning, centralized non-scanning codes, scanning codes for some transaction products, intentional scanning codes without submission, and abnormal volume and price. It makes it difficult to guarantee the high quality level of terminal...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/07G07G1/00
CPCG06F11/0763G06F11/0766G06F11/079G06F11/0793G07G1/0045
Inventor 刘晓龙
Owner INSPUR SOFTWARE CO LTD
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