Method and system for complementing historical piece quantity data of newly-added website
A network and historical technology, applied in the field of logistics, can solve the problems of less data on the number of new outlets, difficult to predict the number of new outlets, etc.
Pending Publication Date: 2020-06-05
SF TECH
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Problems solved by technology
[0004] In view of the above-mentioned defects or deficiencies in the prior art, it is expected to provide a method and system for supplementing the historical piece data of newly added outlets, which can solve the problem of less piece data of newly added outlets, thereby being able to solve the problem that it is difficult to accurately calculate the newly added outlets. Problems in branch quantity forecasting
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[0017] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.
[0018] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0019] In order to solve the problem of fewer pieces of data for newly added outlets, thereby solving the problem that it is difficult to accurately predict the number of pieces of newly added outlets, in one embodiment of the present invention, a supplementary method for historical piece data of n...
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The invention discloses a method for complementing historical piece quantity data of a newly-added website, which is applied to the field of logistics and comprises the following steps: calculating the similarity between a historical piece quantity time sequence of the newly-added website and a historical piece quantity time sequence of each existing website, each existing website being a websiteat the same level as the newly-added website; identifying an existing website having the highest similarity with the newly-added website historical piece quantity time sequence; and based on the historical piece quantity data of the existing website with the highest newly-added website similarity, supplementing the vacant historical piece quantity data of the newly-added website in the same historical period. According to the method disclosed by the invention, the problem that the newly added website is difficult to accurately predict the quantity of the newly added website due to less quantity data of the newly added website can be solved. The invention further correspondingly discloses a system for complementing the historical piece quantity data of the newly added website.
Description
technical field [0001] The present invention generally relates to the field of logistics, and in particular to a method and system for completing historical piece quantity data of newly added outlets. Background technique [0002] In the field of logistics, optimizing the vehicle scheduling scheme and manpower scheduling scheme is an important part of cost saving. The basis for optimizing the vehicle dispatching plan and manpower dispatching plan is the forecast of the daily delivery volume of outlets, and the accuracy of the forecast will significantly affect the logistics cost. [0003] At present, the piece quantity forecasting model is mainly based on prophet, xgboost and deep learning model LSTM (Long Short-Term Memory, long-term short-term memory network). These prediction models need to use the piece quantity data of the historical years of outlets (including piece quantity data in various time dimensions such as hour, date, week, and month) as the model input, and t...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08
CPCG06Q10/04G06Q10/06312G06Q10/083
Inventor 李凤湛长兰王本玉刘曙铭张琳许胜金晶
Owner SF TECH