Intelligent order distribution rule dimension and statistical method for home decoration construction orders

Abstract

The invention discloses an intelligent order distribution rule dimension and statistical method for home decoration construction orders, and relates to the field of artificial intelligence. The methodincludes: collecting historical data; performing analyzing to determine the dimension of the intelligent order and the weight of each dimension; grouping according to the service provider service content, evaluating the service capability of each group, and carrying out hierarchical sorting; grouping according to the service provider service content, evaluating the current processing capacity ofeach group, and carrying out hierarchical sorting; and calculating the score of each dimension, and adding the three dimensions, so that the partner with the highest total score is the target partner.By calculating the request flow reported in real time in real time, the cache is preheated as required, the memory of the server is reasonably used, and the memory use efficiency is improved; according to the method, cache preheating is carried out after the system is started, so that the system starting time is shortened; cache preheating is automatically carried out, the automation degree is high, and external manual participation is not needed; based on real-time calculation, compared with a timing cache preheating scheme, cache preheating can be carried out in time, and no time delay condition exists.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a dimension and statistical method of intelligent bill splitting rules for home decoration construction bills. Background technique [0002] Dispatching orders is an essential part of the home improvement platform. However, with the rapid development of the company's business and the increasing number of users, business personnel need to distribute more and more construction orders, resulting in more and more problems. for example: [0003] 1. In the case of insufficient dispatchers, the company cannot dispatch orders in a timely and accurate manner, which prolongs the customer's renovation time, reduces user experience, and greatly increases the workload of dispatchers. [0004] 2. The new dispatcher or the dispatcher who is not familiar with the situation of the partner not only has low efficiency when dispatching the order, but more importantly, cannot divide ...

AI Technical Summary

Problems solved by technology

[0003] 1. In the case of insufficient dispatch dispatchers, the company cannot dispatch orders in a timely and accurate manner, which prolongs the customer's renovation time, reduces user experience, and greatly increases the workload of dispatchers

[0004] 2. The new dispatcher or the dispatcher who is not familiar with the situati

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