Online shopping mall recharging method based on AI
A recharge method and mall technology, applied in prepayment schemes, payment schemes/models, marketing, etc., can solve problems such as lack of recharge auxiliary systems
Pending Publication Date: 2022-07-08
浙江开心果数智科技有限公司
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Problems solved by technology
[0003] This patent provides a management system for shopping malls, which can provide convenience to users online and offline; however, currently for smart mobile devices, mobile phones or tablet computers, online shopping malls are not only for shopping, but also for some online virtual items, such as Game malls, or some music APP shopping malls, for some users, lack a recharging auxiliary system to determine whether it is worth recharging. This is the same for recharging activities that exist on online shopping platforms. Based on this, this application provides a solution Program
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[0055] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0056] The present invention is an AI-based online shopping mall recharging method, and the method specifically includes the following steps:
[0057] Step 1: Obtain all the purchase inertia data of the user. The purchase inertia data includes consumption records and stable records; the consumption records include the consumption target, the corresponding consumption time and the cost price. The consumption target is the corresponding consumption commodity, and t...
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The invention discloses an online shopping mall recharging method based on AI, and the method comprises the steps: carrying out the inertial analysis of a consumption record in purchase inertial data, and carrying out the monthly division according to the purchase time in the consumption record, and obtaining the consumption months; according to the cost price and the consumption object, a monthly cost value F and a monthly elimination value X corresponding to each consumption month Y are obtained, an inertial shopping mall and a non-inertial shopping mall are obtained through analysis, and a target cost value of the inertial shopping mall is obtained; then, carrying out recharging first judgment analysis on the inertial shopping mall, and determining to intelligently remind the user to recharge a target fee value or an amount half of the target fee value according to the balance of the user and the frequency offset value of the consumption time; according to the shopping mall recharging auxiliary system provided by the invention, a user can be helped to judge whether recharging is suitable at present, and meanwhile, whether an object for automatic renewing exists can be monitored in time, so that the condition that the object is deducted without noticing is avoided; the method is simple, effective, easy and practical.
Description
technical field [0001] The invention relates to the technical field of online shopping mall recharging, in particular to an AI-based online shopping mall recharging method. Background technique [0002] The patent with publication number CN107895304A discloses a shopping mall management system, including a commodity management subsystem, a management and distribution subsystem, an online and offline subsystem, a member management subsystem, an order management subsystem, a marketing management subsystem, and a financial management subsystem. system, data management subsystem, store decoration subsystem, mall distribution subsystem, task center subsystem, multi-merchant management subsystem and cashier management subsystem. The beneficial effect of the present invention is that, through the integration of online and offline, the intercommunication of data such as commodity information, member information and transaction information is realized, thereby satisfying various shop...
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IPC IPC(8): G06Q20/28G06Q20/22G06Q30/02
CPCG06Q20/28G06Q20/223G06Q30/0224G06Q30/0239
Inventor 刘怡刘厚友杨立平
Owner 浙江开心果数智科技有限公司