CN-121998689-A - Overstock management method, equipment, storage medium and product

CN121998689ACN 121998689 ACN121998689 ACN 121998689ACN-121998689-A

Abstract

The application provides a super-selling management method, equipment, a storage medium and a product, and relates to the technical field of data processing, wherein the method comprises the steps of obtaining first information corresponding to a selling object, wherein the first information comprises selling information of the selling object and/or information affecting the selling quantity of the selling object; based on the first information, predicting deterministic waste probability of the vending objects, wherein the deterministic waste probability refers to probability that the vending objects are reserved but the vending objects are idle, and based on the deterministic waste probability and the first information, predicting the overstock quantity of the vending objects to obtain the predicted overstock quantity of the vending objects. According to the application, on the premise of effectively controlling the overstock risk and reducing the idle waste risk, the overstock management is carried out by predicting the deterministic waste probability and further determining the predicted overstock quantity, so that the maximization of net income is realized.

Inventors

Pan Zhongsi
WU JINGLING
PENG XIANGHUI
PENG DANDAN
ZHAO JINWEN
LIN HAIGONG
LUO ZHENJIE

Assignees

南航数智科技(广东)有限公司

Dates

Publication Date: 20260508
Application Date: 20260115

Claims (10)

1. A method of overstock management, the method comprising: acquiring first information corresponding to a vending object, wherein the first information comprises vending information of the vending object and/or information affecting the vending quantity of the vending object; Based on the first information, predicting deterministic waste probability of the vending object, wherein the deterministic waste probability refers to probability that the vending object is reserved but the vending object is idle; and predicting the overstock quantity of the vending objects based on the deterministic waste probability and the first information to obtain the predicted overstock quantity of the vending objects.
2. The overstock management method of claim 1, wherein predicting the overstock quantity of the vending object based on the deterministic waste probability and the first information, results in a predicted overstock quantity of the vending object, comprising: performing data processing on the deterministic waste probability and the first information to obtain the vending state characteristics of the vending objects, wherein the vending state characteristics are used for describing the vending states of the vending objects; based on the vending state characteristics, predicting the overstock quantity of the vending objects to obtain a candidate overstock quantity range; and screening the candidate overstock quantity meeting the screening condition from the candidate overstock quantity range to serve as the predicted overstock quantity.
3. The overstock management method of claim 2, wherein said screening candidate overstock amounts meeting a screening condition from said candidate overstock amount range as said predicted overstock amounts comprises: Calculating a profit value corresponding to each candidate overstock quantity in the candidate overstock quantity, wherein the profit value refers to profit brought by the overstock quantity of the sold objects; and screening the candidate overstock quantity from the profit value corresponding to each candidate overstock quantity, and taking the candidate overstock quantity as the predicted overstock quantity.
4. The overstock management method of claim 2, wherein predicting the overstock quantity of the vending object based on the vending status feature to obtain a candidate overstock quantity range comprises: obtaining an upper limit value of the candidate overstock quantity range based on the product of the deterministic waste probability in the vending state feature and the rated quantity of the vending objects, wherein the rated quantity of the vending objects refers to the maximum used quantity of the vending objects; and determining a value between zero and the upper limit value as the candidate overstock quantity range.
5. The overstock management method of claim 1, wherein said predicting a deterministic wastage probability of said vending object based on said first information comprises: Performing data processing on the first information to obtain first information characteristics corresponding to the first information; and inputting the first information characteristic into a probability prediction model to predict, so as to obtain the deterministic waste probability.
6. The overstock management method according to any one of claims 1 to 5, characterized in that the method further comprises: And under the condition that the acquired number of the vending objects is larger than the rated number of the vending objects, performing overstock management on users who acquire the vending objects but do not use the vending objects.
7. The method of overstock management of claim 6, wherein said overstock management to a user who has acquired said vending object but has not used said vending object comprises: sending a compensation offer to a user who has acquired the vending object but has not used the vending object; determining a target user from the users who send the compensation offers based on the reply information of the users to the compensation offers; And retrieving the selling objects owned by the target user.
8. An electronic device is characterized by comprising a processor and a memory; the memory stores instructions executable by the processor; the processor is configured to, when executing the instructions, cause the electronic device to implement the method of any one of claims 1 to 7.
9. A computer readable storage medium, characterized in that the storage medium has stored therein a computer program or instructions which, when executed by a processing device, implement the method of any of claims 1 to 7.
10. A computer program product comprising a computer program or instructions which, when executed by a processing device, implements the method of any one of claims 1 to 7.

Description

Overstock management method, equipment, storage medium and product Technical Field The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a storage medium, and a product for overstock management. Background Overstock refers to a merchant selling a reserve amount that exceeds the total amount of resources that it actually can offer. Taking the air ticket overstock as an example, the air ticket overstock refers to that an airline company still sells more air tickets than the actual seats of an airplane under the condition that the seats of the airline company are sold out, so as to cope with the seat deficiency consumption risk caused by the fact that partial passengers are not boarding after booking, thereby improving the overall benefit of the airline. In the prior art, the overstock management mostly adopts a fixed overstock proportion or a static statistical model to determine the overstock quantity, so that the problems of unilateral decision and insufficient flexibility commonly exist in the prior art, or the resource waste is caused by the insufficient overstock, or the overstock excessively increases the compensation cost and the brand reputation loss, and the dynamic balance of the maximization of the income and the controllable risk cannot be realized. Disclosure of Invention The application provides an air ticket overstock management method, equipment, a storage medium and a product, which can predict deterministic waste probability on the premise of effectively controlling overstock risks and reducing idle waste risks, further determine the predicted overstock quantity for overstock management, and realize the maximization of net income. In order to solve the above problems, the embodiment of the present application provides the following technical solutions: The first aspect provides a overstock management method, which comprises the steps of obtaining first information corresponding to a vending object, predicting deterministic waste probability of the vending object based on the first information, and predicting the overstock quantity of the vending object based on the deterministic waste probability and the first information to obtain the predicted overstock quantity of the vending object, wherein the first information comprises vending information of the vending object and/or information affecting the vending quantity of the vending object, and the deterministic waste probability refers to the probability that the vending object is reserved but the vending object is idle. According to the technical means, through acquiring the selling information of the selling objects and the related information affecting the selling quantity, the deterministic waste probability of the idle after reservation is predicted, and the overstock quantity is dynamically predicted by combining the deterministic waste probability and the first information, the overstock shortage/overstock problem caused by depending on experience or static data is avoided, and the idle waste of the selling objects is reduced to the maximum extent. In one possible implementation manner, the overstock quantity of the vending objects is predicted based on the deterministic waste probability and the first information to obtain the predicted overstock quantity of the vending objects, which can be specifically realized by performing data processing on the deterministic waste probability and the first information to obtain vending state characteristics of the vending objects, wherein the vending state characteristics are used for describing vending states of the vending objects, predicting the overstock quantity of the vending objects based on the vending state characteristics to obtain a candidate overstock quantity range, and screening candidate overstock quantity meeting screening conditions from the candidate overstock quantity range to serve as the predicted overstock quantity. According to the technical means, the specific data processing is carried out on the deterministic waste probability and the first information, the vending state characteristics for accurately describing the actual vending state of the vending object are provided, the candidate overstock quantity range is firstly defined, then the candidate overstock quantity is screened, the rigidness of single numerical value prediction is avoided, the optimal solution can be accurately determined through the screening condition, the overstock quantity and idle risk are guaranteed, the vending state is highly adaptive, and the resource idle and overstock conflict is maximally reduced. In one possible implementation manner, the candidate overstock quantity meeting the screening condition is screened out from the candidate overstock quantity range to serve as the predicted overstock quantity, and the method can be specifically realized by calculating a benefit value corresponding to each candidate overstock qua