A method for intelligent assignment of work orders

Abstract

The invention relates to an intelligent work order dispatching method. The method comprises the steps of obtaining historical work order data, extracting feature data, classifying work orders, constructing a work order feature model, obtaining basic employee information data, constructing an employee feature model, and constructing a matching algorithm of the work order feature model and the employee feature model based on the historical work order data and the feature data; and after the to-be-dispatched work order is obtained, performing feature extraction on the current work order, calculating the matching degree of the work order and the employees, dispatching the work order to the employee with the highest matching degree, and completing work order dispatching. According to the invention, objective data analysis is carried out with the assistance of big data, the number of manual participation parts in the order dispatching process is small, additional butt joint is not needed before order dispatching, the reasonability and timeliness of service work order dispatching in property management are guaranteed, the communication cost is low, the dispatching speed is high, order dispatching is objective, and it is guaranteed that each employee can more and better organize work orders within the capacity range of the employee; and under the condition that the work order responsespeed is increased, the customer satisfaction is obviously improved.

Description

technical field [0001] The present invention relates to data processing systems or methods specially suitable for administrative, commercial, financial, management, supervisory or forecasting purposes; processing systems or methods specially suitable for administrative, commercial, financial, management, supervisory or forecasting purposes not included in other categories The technical field of the method, in particular to a method for intelligent assignment of work orders. Background technique [0002] In management work, for different tasks, the distribution of work is often completed in the form of dispatching orders, so that responsibilities can be assigned to people. Taking property management as an example, when it comes to maintenance, reporting, cleaning, greening, etc., service work orders must be used for process tracking. [0003] In traditional management software, customer service personnel form work orders after receiving the needs of owners or customers, and ...

AI Technical Summary

Problems solved by technology

[0003] In traditional management software, customer service personnel form work orders after receiving the needs of owners or customers, and mainly rely on customer service personnel to manually dispatch orders, and customer service personnel may be outsourced and cannot always maintain a stable judgment, so they On the one hand, there is no absolute objective and accurate judgment on the content, urgency, and time required of the work order. On the other hand, information such as the field of expertise of the property staff and whether they are available cannot be obtained in real time, which leads to repeated communication, low efficiency of dispatching orders, and staff Busy-busy inconsistency and other issues, which ultimately lead to a decline in customer satisfaction

[0004] Furthermore, since work orders for property services involve maintenance, reporting, complaints, cleaning, etc., they are intended to fulfill customer demands, and there are often certain problems with customers. In an overall environment with high requirements for timeliness and timeliness of processing, improper assignment of work orders can easily lead to conflicts between the property owner and the owner

[0005] The method of manual assignment, communication first and then assignment has high communication costs and slow assignment speed, and direct assignment based on experience judges the problem of low matching with actual processing personnel; how to assign work orders reasonably and quickly needs to be solved urgently

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