Data processing method and device for self-service equipment and self-service equipment

Abstract

The invention relates to a data processing method and device for self-service equipment and the self-service equipment, and relates to the technical field of self-service equipment. The method comprises the steps of obtaining surrounding crowd data; generating a commodity selling scheme according to the surrounding crowd data; the self-service equipment is controlled to carry out commodity management according to the commodity selling scheme, surrounding crowd data can be automatically, rapidly and accurately obtained, the commodities of the self-service equipment are managed according to surrounding crowd conditions, the commodity display accuracy of the intelligent vending machine is effectively improved, the listed commodities can be adjusted in time, and the user experience is greatly enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of self-service equipment, and in particular to a data processing method and device for self-service equipment, and a self-service equipment. Background Art

[0002] With the increasing demand of consumers for convenience and intelligence, and the continuous advancement of the Internet of Things and big data technologies, vending machines have gradually emerged in the market as a new type of retail sales method. Vending machines are no longer limited to traditional retail venues, but are also widely used and deployed in various scenarios such as communities, office buildings, schools, stations, and sports venues. They provide consumers with a more convenient shopping experience and also expand sales channels for merchants. With the advancement of technology and the diversification of consumer demand, the variety of products on vending machines is also becoming increasingly rich, covering multiple fields such as food and beverages, daily necessities, and digital products, which can meet the different needs of more consumer groups.

[0003] It is very necessary to launch different products in different locations to suit the customer groups in different regions.

[0004] Traditional statistical methods, such as distributing statistical forms and filling out forms on site, can easily lead to excessive statistical costs, and the statistical purpose may not be achieved as expected. It is necessary to increase the labor costs of researchers, the time costs of the respondents, and the cost of preparing gifts and materials for the respondents. The subjective information of individual respondents may not accurately reflect the real information. For example, online surveys and SMS surveys cannot accurately lock and judge the region, and cannot truly reflect the accuracy of the survey information. Traditional statistical survey methods will also have deviations in the statistics of the time dimension. Statistics on the composition of personnel groups will also have deviations. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a data processing method for a self-service device, comprising:

[0006] Obtain data about people around you;

[0007] Generate a product sales plan based on the surrounding population data;

[0008] Control the self-service equipment to manage the commodities according to the commodity selling plan.

[0009] Furthermore, generating a commodity sales plan based on the surrounding population data includes: obtaining consumer data from the surrounding population data, the consumer data including consumer number data and consumer type data, the consumer number data is the distribution of the number of consumers in different time periods, and the consumer type data is the distribution of consumer commodity types in different time periods; generating a first commodity display plan based on the consumer data, the first commodity display plan including first display time period information, first display commodity type information, first display commodity quantity information and first display commodity location information; controlling the self-service device to perform commodity management according to the commodity sales plan includes: controlling the self-service device to display corresponding commodities according to the first commodity display plan.

[0010] Furthermore, generating a product sales plan based on the surrounding population data also includes: obtaining potential consumer data from the surrounding population data, the potential consumer data including potential consumer number data and potential consumer type data, the potential consumer number data is the distribution of the number of people who may consume in different time periods, and the potential consumer type data is the distribution of commodity types that may be consumed in different time periods; generating a first commodity promotion plan based on the potential consumer data, the first commodity promotion plan including first promotion time period information, first promotion method information and first promotion commodity type information; controlling the self-service device to perform commodity management according to the commodity sales plan also includes: controlling the self-service device to promote commodities according to the first commodity promotion plan.

[0011] Furthermore, generating a commodity sales plan based on the surrounding population data also includes: obtaining related transaction data from the surrounding population data, the related transaction data being consumption records of potential consumers; generating a second commodity display plan based on the potential consumer data and the related transaction data, the second commodity display plan including second display time period information, second display commodity type information, second display commodity quantity information and second display commodity location information; controlling the self-service device to manage commodities according to the commodity sales plan also includes: controlling the self-service device to display corresponding commodities according to the second commodity display plan.

[0012] Furthermore, generating a product sales plan based on the surrounding population data also includes: obtaining interested consumer data from the surrounding population data, the interested consumer data including interested consumer number data and interested consumer type data, the interested consumer number data is the distribution of the number of people interested in selling products in different time periods, and the interested consumer type data is the distribution of product types that interested consumers are interested in in different time periods; generating a second product promotion plan based on the interested consumer data, the second product promotion plan including second promotion time period information, second promotion means information and second promotion product type information; controlling the self-service device to perform product management according to the product sales plan also includes: controlling the self-service device to promote products according to the second product promotion plan.

[0013] Furthermore, the self-service device is provided with at least one camera, and obtaining the surrounding crowd data includes: obtaining surrounding images; obtaining a human image from the surrounding images; and obtaining the surrounding crowd data based on the human image, wherein the surrounding crowd data includes number of people information and corresponding time information.

[0014] Furthermore, acquiring the surrounding crowd data based on the human-shaped image includes: acquiring a full-face image from the human-shaped image; and acquiring the interested consumer data based on the full-face image.

[0015] Furthermore, acquiring the surrounding crowd data based on the human-shaped image also includes: based on continuous images, acquiring an image of a target person walking toward the self-service device from the full-face image; and acquiring potential consumer data based on the target person image.

[0016] Furthermore, the method further includes: generating sales prompt information according to a preset strategy based on the surrounding population data; and sending the sales prompt information to a designated user terminal.

[0017] Furthermore, controlling the self-service device to display corresponding goods according to the first product display plan includes: obtaining the first display time period information, the first display product type information, the first display product quantity information and the first display product position information from the first product display plan; placing the goods according to the first display product type and the first display product quantity in the first display time period and the first display product position.

[0018] Furthermore, controlling the self-service device to promote products according to the first product promotion plan includes: obtaining the first promotion time period information, the first promotion means information and the first promotion product category information from the first product promotion plan; in the first promotion time period, using the first promotion means to display products corresponding to the first promotion category.

[0019] Furthermore, controlling the self-service device to display corresponding goods according to the second goods display plan includes: obtaining the second display time period information, the second display goods type information, the second display goods quantity information and the second display goods position information from the second goods display plan; placing the goods according to the second display goods type and the second display goods quantity within the second display time period and at the second display goods position.

[0020] Furthermore, controlling the self-service device to promote products according to the second product promotion plan includes: obtaining the second promotion time period information, the second promotion means information and the second promotion product category information from the second product promotion plan; and within the second promotion time period, using the second promotion means to display products corresponding to the second promotion category.

[0021] Furthermore, the sales prompt information includes a placement adjustment prompt. Based on the surrounding population data, generating the sales prompt information according to a preset strategy includes: counting the number of all human-shaped images in a specified time period; if the number of human-shaped images in the specified time period is less than a first preset value, generating a placement adjustment prompt.

[0022] Furthermore, the sales prompt information includes a setting adjustment prompt, which is generated based on the surrounding crowd data and in accordance with a preset strategy, including: obtaining the proportion of interested people based on the number of all human-shaped images in a specified time period, the proportion of interested people being the ratio of the number of interested consumers to the number of all human-shaped images in a specified time period; if the proportion of interested people is less than a second preset value, generating a setting adjustment prompt.

[0023] Furthermore, the sales prompt information includes a promotion adjustment prompt. Based on the surrounding population data, the sales prompt information is generated according to a preset strategy, including: obtaining the potential population ratio based on the number of potential consumers and the number of interested consumers in a specified time period, and the potential population ratio is the ratio of the potential consumers to the number of interested consumers in the specified time period; if the potential population ratio is less than a third preset value, a promotion adjustment prompt is generated.

[0024] Furthermore, the sales reminder information includes a product adjustment reminder. Based on the surrounding population data, the sales reminder information is generated according to a preset strategy, including: obtaining the proportion of consumers based on the number of consumers and the number of potential consumers in a specified time period, and the proportion of consumers is the ratio of the number of consumers to the number of potential consumers in a specified time period; if the proportion of consumers is less than a fourth preset value, a product adjustment reminder is generated.

[0025] The present invention provides a data processing device for self-service equipment, comprising:

[0026] A crowd data acquisition unit, used to acquire surrounding crowd data;

[0027] A sales plan generating unit, used to generate a product sales plan according to the surrounding population data;

[0028] The commodity management unit is used to control the self-service device to manage commodities according to the commodity selling plan.

[0029] The present invention provides a self-service device, comprising:

[0030] at least one processor and at least one memory;

[0031] The memory stores executable instructions of the processor;

[0032] The processor is configured to execute any of the aforementioned data processing methods for self-service devices.

[0033] In one embodiment,

[0034] Compared with the prior art, the advantages of the present invention are that it obtains data on surrounding people and generates a product sales plan based on the surrounding people data, the sales plan includes a display plan and a promotion plan, and controls the self-service equipment to manage products according to the product sales plan, including display management and promotion management. It can automatically, quickly and accurately obtain data on surrounding people and manage the products of self-service equipment according to the situation of the surrounding people, effectively improving the accuracy of the products displayed by the smart vending machine, and can timely adjust the listed products, greatly enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Hereinafter, the present invention will be described in more detail based on embodiments and with reference to the accompanying drawings.

[0036] Figure 1 is a flow chart of a data processing method for a self-service device in an embodiment of the present invention;

[0037] Figure 2 is a flow chart of another data processing method for a self-service device in an embodiment of the present invention;

[0038] Figure 3 is a functional structure diagram of a data processing device for self-service equipment in an embodiment of the present invention;

[0039] Figure 4 is a functional structure diagram of another data processing device for self-service equipment in an embodiment of the present invention;

[0040] Figure 5 It is a functional structure diagram of a self-service device in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] See also Figure 1 , an embodiment of the present invention provides a data processing method for a self-service device, comprising:

[0043] 101. Obtain data on people around you.

[0044] 102. Generate product sales plans based on surrounding population data.

[0045] 103. Control the self-service equipment to manage goods according to the commodity sales plan.

[0046] The data processing method for self-service equipment provided in this embodiment obtains data of surrounding people, generates a product sales plan based on the surrounding people data, and controls the self-service equipment to manage products according to the product sales plan. It can automatically, quickly and accurately obtain data of surrounding people, and manage the products of self-service equipment according to the situation of the surrounding people, effectively improving the accuracy of the products displayed by the smart vending machine, and can adjust the listed products in time, greatly enhancing the user experience.

[0047] In order to solve the drawbacks of the traditional survey method of self-service equipment, reduce the survey cost and improve the accuracy of the survey results, and help the sales cabinet owner increase the transaction volume and profit, as an improvement of the above embodiment, the embodiment of the present invention provides another data processing method for self-service equipment, see Figure 2 , the method comprising:

[0048] 201. Obtain data on surrounding people.

[0049] It has a central processing unit CPU, which can process various data and instructions that need to be processed when the entire system is running. The runtime storage device RAM (Random Access Memory) and the non-volatile storage device ROM (Read-Only Memory) are used to store various data and control programs. The device can execute pre-compiled programs and execute functions defined and implemented by product and software engineers. The device has a camera module, which is provided with at least one camera. The self-service equipment (such as a vending cabinet) is installed with a set of hardware systems and runs a set of software systems. The hardware system has a corresponding mechanical structure, which can adjust and replace the display of goods, replace advertisements and adjust the playback volume. The specific implementation method of the hardware structure is not limited in the embodiment of the present invention, and can be specifically designed and manufactured by those skilled in the art according to engineering needs. The software system cyclically obtains images from the camera module, such as the conventional 30 frames per second cyclically to continuously obtain live images.

[0050] In some optional embodiments, 201 may include (not shown in the figure):

[0051] 2011. Obtain surrounding images.

[0052] 2012. Obtaining human-shaped images from surrounding images.

[0053] 2013. Obtaining surrounding crowd data based on human-shaped images, the surrounding crowd data includes number of people information and corresponding time information.

[0054] The self-service device finds human images from the image and records the number of human figures and the RTC (Real-time Clock) time information at that time. The number of human figures and the time at that time can be used to count the number of people appearing in a unit time period, which is recorded as the total flow of people T. By obtaining more accurate flow of people information. For example, whether the street / area where the device is located has more people on weekends or weekdays, and whether there are more people in the morning, afternoon or evening every day.

[0055] In some optional embodiments, 2013 includes (not shown in the figure):

[0056] 20131. Obtaining full face images from human-shaped images.

[0057] In order to count the number of people in a unit time, the flow of people T data is divided into segments according to 24 hours a day, and sorted from large to small to obtain a time-divided flow array Set. The flow of people data in a group of 24 time periods every day is obtained. The system uses images to determine the classification of people, such as the number of children, women, young people, the elderly, men and women, and through the distribution of group numbers, targeted sales counter products are placed.

[0058] 20132. Obtaining interested consumer data based on full face images.

[0059] The self-service device finds the face information from the human image, counts the number of people with full faces, and records the RTC time information of the full-face people, which is recorded as the interested people flow M. This part of the passerby information represents neither potential consumers nor consumers. For the vending machine manufacturers, they can consider using sound and light signals to attract passersby and turn them into potential consumers or consumers.

[0060] 20133. Based on continuous images, the image of the target person walking towards the self-service device is obtained from the full face image.

[0061] 20134. Obtaining potential consumer data based on target person images.

[0062] The self-service device finds people approaching the device from the full-face information from the continuous image changes, records the number of people and the RTC time information at that time, and records it as the number of potential consumers N. Through this part of information, the number of consumers per day and the number of consumers in a specific period of time are determined, and the consumption tendency of these consumers is determined through related transactions. The sales counter merchant makes a targeted product listing. The number of people who successfully purchased the product and the purchase time are recorded, and recorded as the number of consumers J.

[0063] 202. Generate product sales plan based on surrounding population data.

[0064] In some optional embodiments, 202 includes (not shown in the figure):

[0065] 2021. Obtain consumer data from surrounding population data. Consumer data includes consumer number data and consumer type data. Consumer number data is the distribution of consumer numbers in different time periods, and consumer type data is the distribution of consumer commodity types in different time periods.

[0066] 2022. Generate a first product display plan based on the consumer data, where the first product display plan includes first display time period information, first display product category information, first display product quantity information, and first display product location information.

[0067] In some optional embodiments, 202 may also include (not shown in the figure):

[0068] 2023. Obtain potential consumer data from surrounding population data. Potential consumer data includes data on the number of potential consumers and data on potential consumer categories. Data on the number of potential consumers is the distribution of the number of people who may consume in different time periods, and data on potential consumer categories is the distribution of the types of goods that may be consumed in different time periods.

[0069] 2024. Generate a first product promotion plan based on the potential consumer data, where the first product promotion plan includes first promotion time period information, first promotion method information, and first promotion product category information.

[0070] The first promotion means may be to produce and display an advertisement page. The specific production process of the advertisement page is not limited in the embodiment of the present invention and can be implemented by those skilled in the art using existing technologies according to engineering requirements.

[0071] In some optional embodiments, 202 may also include (not shown in the figure):

[0072] 2025. Obtain related transaction data from surrounding population data. Related transaction data is the consumption record of potential consumers.

[0073] 2026. Generate a second product display plan based on the potential consumer data and the related transaction data.

[0074] The second commodity display plan includes second display time period information, second display commodity category information, second display commodity quantity information and second display commodity position information.

[0075] The second product display plan provides potential consumers with optional products, increasing the possibility of converting potential consumers into consumers.

[0076] In some optional embodiments, 202 may also include (not shown in the figure):

[0077] 2027. Obtain interested consumer data from surrounding population data.

[0078] Among them, the interest consumer data includes the number of interest consumers data and the interest consumption category data. The number of interest consumers data is the distribution of the number of people interested in selling goods in different time periods, and the interest consumption category data is the distribution of the types of goods that interest consumers are interested in in different time periods.

[0079] 2028. Generate a second product promotion plan based on the interest consumer data, where the second product promotion plan includes second promotion time period information, second promotion method information, and second promotion product category information.

[0080] The second promotional method can be sound and light. In order to attract interested consumers, the self-service equipment plays relevant sounds or music, or emits designated lights. People around are attracted by the sounds or lights and pay attention to the self-service equipment, thereby increasing the possibility of converting interested consumers into potential consumers.

[0081] It should be noted that the specific process of implementing the promotion scheme is not limited in the embodiment of the present invention, and can be implemented by those skilled in the art using existing technologies according to engineering requirements.

[0082] 203. Control the self-service equipment to manage commodities according to the commodity sales plan.

[0083] Compatible with 202, 203 includes (not shown in the figure):

[0084] 2031. Control the self-service device to display corresponding commodities according to the first commodity display plan.

[0085] Specifically, first display time period information, first display commodity category information, first display commodity quantity information and first display commodity position information are obtained from the first commodity display plan.

[0086] In the first display time period and at the first display commodity position, commodities are placed according to the first display commodity types and the first display commodity quantities.

[0087] 2032. Control the self-service device to promote the product according to the first product promotion plan.

[0088] Specifically, first promotion time period information, first promotion means information and first promotion commodity category information are obtained from the first commodity promotion plan.

[0089] In a first promotion period, a first promotion method is used to display products corresponding to the first promotion category.

[0090] 2033. Control the self-service device to display corresponding commodities according to the second commodity display plan.

[0091] Specifically, the second display time period information, the second display commodity type information, the second display commodity quantity information and the second display commodity position information are obtained from the second display commodity plan, and the commodities are placed according to the second display commodity type and the second display commodity quantity within the second display time period and at the second display commodity position.

[0092] In the second display time period and at the second display commodity position, commodities are placed according to the second display commodity types and the second display commodity quantities.

[0093] 2034. Control the self-service device to promote the product according to the second product promotion plan.

[0094] Specifically, obtaining second promotion time period information, second promotion means information, and second promotion commodity category information from the second commodity promotion plan;

[0095] During the second promotion time period, the second promotion means are used to display the products corresponding to the second promotion category.

[0096] 204. Generate sales reminder information based on surrounding population data according to preset strategies.

[0097] The total flow of people T, the total daily flow of people is the basic data. If the T value obtained by the smart vending machine is relatively small, for example, the daily flow is 100 people, it means that there is a problem with the placement, prompting the device owner to adjust the placement in time.

[0098] In some optional embodiments, the selling prompt information includes a delivery adjustment prompt, 240 including (not shown in the figure):

[0099] Count the number of all human images in the specified time period.

[0100] If the number of human-shaped images within the specified time period is less than a first preset value, a delivery adjustment prompt is generated.

[0101] The ratio of interested people flow M to total people flow T is a sign to measure whether the sound and light advertisement attracts the attention of the crowd. If the ratio is too low, such as less than 10%, the device owner needs to be prompted to adjust factors such as display brightness, volume, and whether the cabinet is conspicuous.

[0102] In some optional embodiments, the sales reminder information includes a setting adjustment reminder, and 240 also includes (not shown in the figure):

[0103] The proportion of interested people is obtained based on the number of all human-shaped images in a specified period of time. The proportion of interested people is the ratio of the number of interested consumers to the number of all human-shaped images in a specified period of time.

[0104] If the proportion of interested persons is less than the second preset value, a setting adjustment prompt is generated.

[0105] Potential consumers N, the ratio of potential consumers N to interested people M, is a sign of whether the window display and advertising content are attractive enough to attract interested people and further ignite their desire to consume. If the ratio is too low, such as less than 20%, the device owner needs to be prompted to adjust the window display and advertising content.

[0106] In some optional embodiments, the sales prompt information includes a promotion adjustment prompt, and 240 also includes (not shown in the figure):

[0107] The potential population ratio is obtained based on the number of potential consumers and the number of interested consumers in a specified period of time. The potential population ratio is the ratio of the number of potential consumers to the number of interested consumers in a specified period of time.

[0108] If the proportion of potential number of people is less than the third preset value, a promotion adjustment prompt is generated.

[0109] The number of consumers J, consumers are the ones who complete the transaction of commodity consumption. The ratio of consumer J to potential consumer N is a sign of whether the commodity category satisfies consumers. If the ratio is not high, for example, lower than 80%, it means that the commodity category is incomplete and cannot satisfy consumers. The device owner needs to be reminded to adjust and enrich the commodity categories as soon as possible to satisfy potential consumers and try to achieve 100%.

[0110] In some optional embodiments, the sales prompt information includes a product adjustment prompt, and 240 also includes (not shown in the figure):

[0111] The proportion of consumers is obtained based on the number of consumers and the number of potential consumers in a specified period of time. The proportion of consumers is the ratio of the number of consumers to the number of potential consumers in a specified period of time.

[0112] If the proportion of consumers is less than the fourth preset value, a product adjustment prompt is generated.

[0113] 205. Send sales prompt information to a designated user terminal.

[0114] The array Set of people flow by time period, this group of discrete data provides people flow in different time periods, and the device provides several different peak data every day to the device owner, who adjusts the appropriate product sales according to different time periods. For example, if the peak of people flow occurs at noon, consider providing drinks and food, if the peak of people flow occurs at 5 or 6 pm, provide dishes and snacks, and if the peak of people flow occurs at 9 or 10 pm, provide alcohol and adult products, etc.

[0115] The designated user terminal may be set by the user, and the specific implementation method thereof is not limited in the embodiment of the present invention, and may be implemented by those skilled in the art using existing technologies according to actual engineering requirements.

[0116] Based on the above process, specific data and suggested strategies can be provided to the device owner, which can quickly and specifically improve the sales strategy of the vending cabinet, increase the transaction volume of goods in the smart vending cabinet, increase sales and profits for the device owner, and provide a more convenient and intelligent shopping experience for surrounding residents.

[0117] In this embodiment, the self-service device obtains image information and parses multi-dimensional statistical information based on the image information. By counting the flow of people in a unit time period, quantifying the publicity effect of the self-service device cabinet, converting and counting potential consumers, and counting peak flow of people and recommending categories, the current problems of high survey costs for sales cabinets and inaccurate and biased survey results are solved. It is used to provide more accurate and detailed customer flow information, more timely customer flow feedback and product exchange, and help the device owner to obtain customer flow information in a timely manner and adjust publicity strategies and sales strategies.

[0118] The data processing method for self-service equipment provided in this embodiment obtains data of surrounding people, generates a product sales plan based on the surrounding people data, and the sales plan includes a display plan and a promotion plan. The self-service equipment is controlled to manage products according to the product sales plan, including display management and promotion management. The method can automatically, quickly and accurately obtain data of surrounding people, and manage the products of the self-service equipment according to the situation of the surrounding people, effectively improving the accuracy of the products displayed by the smart vending machine, and can adjust the listed products in a timely manner, greatly enhancing the user experience.

[0119] In order to implement the above-mentioned data processing method for self-service equipment, the embodiment of the present invention provides a data processing device for self-service equipment, see Figure 3 , the device comprises:

[0120] The crowd data acquisition unit 31 is used to acquire surrounding crowd data.

[0121] The sales plan generating unit 32 is used to generate a product sales plan according to the surrounding population data.

[0122] The commodity management unit 33 is used to control the self-service device to manage commodities according to the commodity selling plan.

[0123] The data processing device for self-service equipment provided in this embodiment comprises a crowd data acquisition unit that acquires surrounding crowd data, a sales plan generation unit that generates a product sales plan based on the surrounding crowd data, the sales plan including a display plan and a promotion plan, and a product management unit that controls the self-service equipment to perform product management according to the product sales plan, including display management and promotion management. The device can automatically, quickly and accurately acquire surrounding crowd data, and manage the self-service equipment products according to the surrounding crowd situation, thereby effectively improving the accuracy of the products displayed by the smart vending machine, and can timely adjust the listed products, greatly enhancing the user experience.

[0124] As an improvement of the above embodiment, the present invention provides another data processing device for self-service equipment. Figure 4 , the device comprises:

[0125] The crowd data acquisition unit 41 is used to acquire surrounding crowd data.

[0126] The sales plan generating unit 42 is used to generate a product sales plan according to the surrounding population data.

[0127] The commodity management unit 43 is used to control the self-service device to manage commodities according to the commodity selling plan.

[0128] In some optional embodiments, the device further comprises:

[0129] The user prompting unit 44 is used to generate sales prompting information according to a preset strategy based on the surrounding population data, and send the sales prompting information to a designated user terminal.

[0130] In some optional embodiments, the selling plan generating unit 42 includes:

[0131] The consumer data processing module 421 is used to obtain consumer data from surrounding population data, where the consumer data includes consumer number data and consumer type data, where the consumer number data is the distribution of the number of consumers in different time periods, and the consumer type data is the distribution of the types of consumer goods in different time periods; and generate a first product display plan based on the consumer data, where the first product display plan includes first display time period information, first display product type information, first display product quantity information, and first display product location information.

[0132] The first potential consumer data processing module 422 is used to obtain potential consumer data from surrounding population data, the potential consumer data includes potential consumer number data and potential consumer type data, the potential consumer number data is the distribution of the number of people who may consume in different time periods, and the potential consumer type data is the distribution of the types of goods that may be consumed in different time periods; generate a first product promotion plan based on the potential consumer data, the first product promotion plan includes first promotion time period information, first promotion method information and first promotion product type information.

[0133] The second potential consumer data processing module 423 is used to obtain related transaction data from the surrounding population data, and the related transaction data is the consumption record of the potential consumer; generate a second commodity display plan according to the potential consumer data and the related transaction data, and the second commodity display plan includes second display time period information, second display commodity type information, second display commodity quantity information and second display commodity location information.

[0134] The interest consumer data processing module 424 is used to obtain interest consumer data from surrounding population data, and the interest consumer data includes interest consumer number data and interest consumer type data. The interest consumer number data is the distribution of the number of people interested in selling goods in different time periods, and the interest consumer type data is the distribution of the types of goods that interest consumers are interested in in different time periods; a second product promotion plan is generated based on the interest consumer data, and the second product promotion plan includes second promotion time period information, second promotion means information and second promotion product type information.

[0135] In some optional embodiments, the commodity management unit 43 includes:

[0136] The first commodity display module 431 is used to control the self-service device to display corresponding commodities according to the first commodity display plan. Specifically, the first display time period information, the first display commodity type information, the first display commodity quantity information and the first display commodity position information are obtained from the first commodity display plan; and commodities are placed according to the first display commodity type and the first display commodity quantity in the first display time period and the first display commodity position.

[0137] The first product promotion module 432 is used to control the self-service device to promote products according to the first product promotion plan. Specifically, the first promotion time period information, the first promotion means information and the first promotion product category information are obtained from the first product promotion plan; in the first promotion time period, the first promotion means are used to display the products corresponding to the first promotion category.

[0138] The second commodity display module 433 is used to control the self-service device to display the corresponding commodities according to the second commodity display plan. Specifically, the second display time period information, the second display commodity type information, the second display commodity quantity information and the second display commodity position information are obtained from the second commodity display plan; and commodities are placed according to the second display commodity type and the second display commodity quantity at the second display commodity position within the second display time period.

[0139] The second product promotion module 434 is used to control the self-service device to promote products according to the second product promotion plan. Specifically, the second promotion time period information, the second promotion means information and the second promotion product category information are obtained from the second product promotion plan; in the second promotion time period, the second promotion means are used to display the products corresponding to the second promotion category.

[0140] In some optional embodiments, the self-service device is provided with at least one camera, and the crowd data acquisition unit 41 includes:

[0141] The image acquisition module 411 is used to acquire surrounding images.

[0142] The human image acquisition module 412 is used to acquire a human image from surrounding images.

[0143] The crowd data acquisition module 413 is used to acquire surrounding crowd data based on the human image, and the surrounding crowd data includes number of people information and corresponding time information.

[0144] Specifically, the crowd data acquisition module 413 acquires a full-face image from the human-shaped image; and acquires interested consumer data based on the full-face image.

[0145] The crowd data acquisition module 413 is also used to acquire the target person image walking towards the self-service device from the full face image based on the continuous images; and acquire the potential consumer data based on the target person image.

[0146] In some optional embodiments, the user prompt unit 44 includes:

[0147] The delivery adjustment module 441 is used to count the number of all human-shaped images in a specified time period; if the number of human-shaped images in the specified time period is less than a first preset value, a delivery adjustment prompt is generated.

[0148] The setting adjustment module 442 is used to obtain the proportion of interested people based on the number of all human-shaped images in the specified time period. The proportion of interested people is the ratio of the number of interested consumers to the number of all human-shaped images in the specified time period; if the proportion of interested people is less than the second preset value, a setting adjustment prompt is generated.

[0149] The promotion adjustment module 443 is used to obtain the potential population ratio based on the potential consumer population and the interest consumer population in the specified time period. The potential population ratio is the ratio of the potential consumer population to the interest consumer population in the specified time period; if the potential population ratio is less than the third preset value, a promotion adjustment prompt is generated.

[0150] The product adjustment module 444 is used to obtain the proportion of consumers based on the number of consumers and the number of potential consumers in a specified time period. The proportion of consumers is the ratio of the number of consumers to the number of potential consumers in a specified time period; if the proportion of consumers is less than the fourth preset value, a product adjustment prompt is generated.

[0151] The data processing device for self-service equipment provided in this embodiment has a crowd data acquisition unit that acquires surrounding crowd data and can obtain real surrounding crowd data. The sales plan generation unit generates a commodity sales plan based on the surrounding crowd data. The sales plan includes a display plan and a promotion plan. The generated sales plan is more targeted. The commodity management unit controls the self-service equipment to manage commodities according to the commodity sales plan, including display management and promotion management. It can automatically, quickly and accurately acquire surrounding crowd data and manage the commodities of the self-service equipment according to the situation of the surrounding crowd, effectively improving the accuracy of the commodities displayed by the intelligent vending machine, and can adjust the listed commodities in time, greatly enhancing the user experience.

[0152] The embodiment of the present invention provides a self-service device, see Figure 5 ,include:

[0153] At least one processor 51 and at least one memory 52 .

[0154] The memory 52 stores executable instructions of the processor 51 .

[0155] The processor is configured to execute the above-mentioned data processing method for the self-service device.

[0156] The self-service device provided in this embodiment obtains data of surrounding people, generates a product sales plan based on the surrounding people data, and the sales plan includes a display plan and a promotion plan. The self-service device is controlled to manage products according to the product sales plan, including display management and promotion management. It can automatically, quickly and accurately obtain data of surrounding people, and manage the products of the self-service device according to the situation of the surrounding people, effectively improving the accuracy of the products displayed by the smart vending machine, and can adjust the listed products in time, greatly enhancing the user experience.

[0157] Although the present invention has been described with reference to preferred embodiments, various modifications may be made thereto and parts thereof may be replaced by equivalents without departing from the scope of the present invention. In particular, the various technical features mentioned in the various embodiments may be combined in any manner as long as there are no structural conflicts. The present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A data processing method for a self-service device, characterized in that: include: Obtain data about people around you; Generate a product sales plan based on the surrounding population data; Control the self-service equipment to manage the commodities according to the commodity selling plan.

2. The data processing method for self-service equipment according to claim 1, characterized in that: Generating a product sales plan based on the surrounding population data includes: Acquire consumer data from the surrounding population data, the consumer data including consumer headcount data and consumer category data, the consumer headcount data is the distribution of the number of consumers in different time periods, and the consumer category data is the distribution of the types of consumer goods in different time periods; generating a first commodity display plan according to the consumer data, wherein the first commodity display plan includes first display time period information, first display commodity type information, first display commodity quantity information, and first display commodity location information; Controlling the self-service device to manage commodities according to the commodity selling plan includes: Control the self-service device to display corresponding commodities according to the first commodity display plan.

3. The data processing method for self-service equipment according to claim 2, characterized in that: Generating a product sales plan based on the surrounding population data also includes: Acquire potential consumer data from the surrounding population data, the potential consumer data including potential consumer number data and potential consumer category data, the potential consumer number data is the distribution of the number of people who may consume in different time periods, and the potential consumer category data is the distribution of the types of goods that may be consumed in different time periods; generating a first product promotion plan according to the potential consumer data, wherein the first product promotion plan includes first promotion time period information, first promotion means information, and first promotion product category information; Controlling the self-service device to manage commodities according to the commodity selling plan also includes: Control the self-service device to promote the product according to the first product promotion plan.

4. The data processing method for self-service equipment according to claim 3, characterized in that: Generating a product sales plan based on the surrounding population data also includes: Acquire related transaction data from the surrounding population data, wherein the related transaction data is the consumption record of potential consumers; generating a second commodity display scheme according to the potential consumer data and the associated transaction data, wherein the second commodity display scheme includes second display time period information, second display commodity type information, second display commodity quantity information, and second display commodity location information; Controlling the self-service device to manage commodities according to the commodity selling plan also includes: Control the self-service device to display corresponding commodities according to the second commodity display plan.

5. The data processing method for self-service equipment according to claim 4, characterized in that: Generating a product sales plan based on the surrounding population data also includes: Obtaining interested consumer data from the surrounding population data, the interested consumer data including interested consumer number data and interested consumer category data, the interested consumer number data is the distribution of the number of people interested in the sold goods in different time periods, the interested consumer category data is the distribution of the types of goods that interested consumers are interested in in different time periods; generating a second product promotion plan according to the interested consumer data, wherein the second product promotion plan includes second promotion time period information, second promotion means information, and second promotion product category information; Controlling the self-service device to manage commodities according to the commodity selling plan also includes: Control the self-service device to promote the product according to the second product promotion plan.

6. The data processing method for self-service equipment according to claim 5, characterized in that: The self-service device is provided with at least one camera, and obtaining data of surrounding people includes: Get surrounding images; Obtaining a human-shaped image from surrounding images; The surrounding crowd data is acquired based on the human-shaped image, and the surrounding crowd data includes number of people information and corresponding time information.

7. The data processing method for self-service equipment according to claim 6, characterized in that: Acquiring the surrounding crowd data based on the human-shaped image includes: Get full face image from human image; The interested consumer data is acquired based on the full face image.

8. The data processing method for self-service equipment according to claim 6, characterized in that: Acquiring the surrounding crowd data based on the human image further includes: Based on the continuous images, acquiring an image of a target person walking toward the self-service device from the full face image; Potential consumer data is acquired based on the target person image.

9. The data processing method for self-service equipment according to claim 6, characterized in that: The method further comprises: Based on the surrounding population data, generating sales prompt information according to a preset strategy; The selling prompt information is sent to a designated user terminal.

10. The data processing method for self-service equipment according to claim 2, characterized in that: Controlling the self-service device to display corresponding commodities according to the first commodity display plan includes: Acquire the first display time period information, the first display commodity type information, the first display commodity quantity information and the first display commodity position information from the first commodity display plan; In the first display time period and at the first display commodity position, commodities are placed according to the first display commodity types and the first display commodity quantities.

11. The data processing method for self-service equipment according to claim 3, characterized in that: Controlling the self-service device to promote the product according to the first product promotion plan includes: Acquire the first promotion time period information, the first promotion means information, and the first promotion commodity category information from the first commodity promotion plan; In a first promotion period, a first promotion method is used to display products corresponding to the first promotion category.

12. The data processing method for self-service equipment according to claim 4, characterized in that: Controlling the self-service device to display corresponding commodities according to the second commodity display scheme includes: Acquire the second display time period information, the second display commodity type information, the second display commodity quantity information and the second display commodity position information from the second commodity display plan; In the second display time period and at the second display commodity position, commodities are placed according to the second display commodity types and the second display commodity quantities.

13. The data processing method for self-service equipment according to claim 5, characterized in that: Controlling the self-service device to perform product promotion according to the second product promotion plan includes: Acquire the second promotion time period information, the second promotion means information and the second promotion commodity category information from the second commodity promotion plan; During the second promotion time period, the second promotion means are used to display the products corresponding to the second promotion category.

14. The data processing method for self-service equipment according to claim 9, characterized in that: The sales prompt information includes a placement adjustment prompt. Based on the surrounding population data, the sales prompt information is generated according to a preset strategy, including: Count the number of all human-shaped images within a specified period of time; If the number of human-shaped images within the specified time period is less than a first preset value, a delivery adjustment prompt is generated.

15. The data processing method for self-service equipment according to claim 14, characterized in that: The sales reminder information includes setting adjustment reminders. Based on the surrounding population data, generating the sales reminder information according to the preset strategy includes: Obtaining the proportion of interested people based on the number of all human-shaped images in a specified period of time, where the proportion of interested people is the ratio of the number of interested consumers to the number of all human-shaped images in a specified period of time; If the proportion of the number of interested persons is less than a second preset value, a setting adjustment prompt is generated.

16. The data processing method for self-service equipment according to claim 15, characterized in that: The sales prompt information includes a promotion adjustment prompt. Based on the surrounding population data, the sales prompt information is generated according to a preset strategy, including: Obtaining a potential population ratio based on the number of potential consumers and the number of interested consumers in a specified period of time, wherein the potential population ratio is the ratio of the number of potential consumers to the number of interested consumers in a specified period of time; If the potential number of people is less than the third preset value, a promotion adjustment prompt is generated.

17. The data processing method for self-service equipment according to claim 15, characterized in that: The sales reminder information includes a product adjustment reminder. Based on the surrounding population data, the sales reminder information is generated according to a preset strategy, including: Obtaining the proportion of consumers based on the number of consumers and the number of potential consumers in a specified period of time, wherein the proportion of consumers is the ratio of the number of consumers to the number of potential consumers in a specified period of time; If the proportion of the number of consumers is less than the fourth preset value, a product adjustment prompt is generated.

18. A data processing device for self-service equipment, characterized in that: include: A crowd data acquisition unit, used to acquire surrounding crowd data; A sales plan generating unit, used to generate a product sales plan according to the surrounding population data; The commodity management unit is used to control the self-service device to manage commodities according to the commodity selling plan.

19. A self-service device, characterized in that: include: at least one processor and at least one memory; The memory stores executable instructions of the processor; The processor is configured to execute the data processing method for a self-service device according to any one of claims 1 to 17.

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