An order service quality evaluation method based on finite state automata

A technology with limited state and quality of service, applied in data processing applications, sales/lease transactions, customer relationships, etc., can solve problems such as high labor costs, information asymmetry, and inability to be known by quality inspectors, reducing labor costs and making it easier Achieving the desired effect

Active Publication Date: 2022-07-26
江苏艾佳家居用品有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This creates an information asymmetry, that is, the operation personnel already know the service quality of each order during the order flow process, but the quality inspection personnel cannot obtain this information
Quality inspectors may need to judge all completed orders. For an e-commerce company, the orders generated every day may be tens of thousands or even reach a huge order of magnitude. It often takes a high cost to complete the quality inspection of order service quality. labor costs

Method used

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  • An order service quality evaluation method based on finite state automata
  • An order service quality evaluation method based on finite state automata
  • An order service quality evaluation method based on finite state automata

Examples

Experimental program
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Embodiment 1

[0025] An order service quality evaluation method based on finite state automata. The finite state automata model is used to represent all state nodes of the order and all the flow paths between the nodes. Through data analysis, the finite state automata model is calculated by each The probability of the node moving to the next node, and then calculate the probability that the order reaches the completion of the order through all states, sort the probability from low to high, and define the order in the top 8% to 20% as abnormal orders, and the remaining orders For normal orders, complete the screening of orders; here, the definition of abnormal orders is determined by the quality inspection staff according to different application scenarios and work experience. Include the following steps:

[0026] (1) Create a state set Q containing all the states of the order flow, Q=[Z 1 ,Z 2 ,……,Z n-1 ,Z n ];

[0027] (2) Randomly select a historical order, create nodes in sequence f...

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PUM

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Abstract

The invention discloses an order service quality evaluation method based on finite state automata, and belongs to the technical field of order service quality inspection. The method adopts the finite state automaton model to represent all the state nodes of the order and all the flow paths between the nodes. Through data analysis, it is calculated that the finite state automata model is transferred from each node to the next node. Probability, and then calculate the probability that the order reaches the completion of the order through all states, sort the probabilities from low to high, and define the orders ranked in the top 8% to 20% as abnormal orders, and the remaining orders are normal orders. filter. The present invention can quickly screen out orders that may have abnormal service among the massive orders, thereby reducing the labor cost of the quality inspection work.

Description

technical field [0001] The invention belongs to the technical field of quality inspection of order service quality, in particular to an order service quality evaluation method based on finite state automata. Background technique [0002] E-commerce companies often conduct quality inspections on the service quality of their completed orders, screen out abnormal orders with excellent or poor service quality, or analyze their reasons so as to "see the good and think together, and see the bad and introspective", Or trace the person in charge in order to impose rewards and punishments on them, so as to improve the quality of service and enhance the competitiveness of enterprises. [0003] In order to ensure the objectivity of the quality inspection work, the relevant personnel responsible for order operation during the order circulation and the quality inspection personnel of the order quality after the order is completed will be completely isolated. This causes information asym...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q30/00G06Q30/06
CPCG06Q10/06393G06Q30/01G06Q30/0601
Inventor 陈旋王冲付虹源
Owner 江苏艾佳家居用品有限公司
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