A personalized retail sales assistance system and device based on artificial intelligence

Abstract

The present invention discloses a personalized retail sales promotion assistance system and device based on artificial intelligence, which relates to the technical field of retail management. The system includes an information statistics module, an operation correction parameter analysis module, an intelligent sensing monitoring module, and an intelligent adjustment module. The present invention conducts intelligent sensing monitoring on the affiliated sensing area through the sales promotion display terminal, controls the sales promotion display terminal to enter a specified operation mode, and synchronously makes targeted adjustments to the specified operation mode, making up for the deficiencies caused by the current solidified and single promotional management methods. By monitoring and adjusting the sales promotion display terminal, the dimension of management is enriched, and a flexible promotional management method is used to adapt to the actual shopping demand characteristics of customers, effectively solving the problems of poor flexibility and weak adaptability existing in current retail management.

Description

Technical Field

[0001] The present invention relates to the field of retail management technology, and in particular to a personalized retail sales assistance system and device based on artificial intelligence. Background Art

[0002] With the rapid development of artificial intelligence technology, the retail industry has also gradually transformed. At the same time, consumer demand is becoming increasingly diversified, and the requirements for shopping experience are also getting higher and higher. Under such conditions, retail companies need to use advanced artificial intelligence technology to achieve personalized services to improve customer satisfaction.

[0003] Existing technology, such as the invention patent with announcement number CN116629979B, is a digital store management system and method, which captures video images in the store, identifies various commodities in the video images and divides the images accordingly, monitors the quantity of commodities in each image block in real time and identifies customer features in each image block, so as to obtain the attention of various commodities, combine the remaining quantity of various commodities and their attention, intelligently predict the replenishment urgency of various commodities, and display the replenishment urgency of various commodities through digital images. This solution does not require manual counting of commodities, can judge the sales popularity of various commodities in real time, and can predict the replenishment urgency of various commodities in advance, which can significantly improve the replenishment management level of stores and help improve the retail efficiency of stores.

[0004] Prior art, such as the invention patent with announcement number CN117196779B, is a new retail management system based on stores, including a security gate, a shopping cart, etc.; customers can check out by operating the shopping cart through the security gate. In shopping malls, it is often the case that the goods purchased by customers are damaged before they leave the mall. In this invention, customers can adjust the goods according to the product placement method displayed on the display terminal, which effectively avoids the situation where the goods purchased by customers are damaged before they leave the mall.

[0005] Based on the above solutions, it is found that there are already some effective measures for the management of store retail, but there are still limitations. For example, the promotion management method is rigid and single, and usually only manages the inventory and liquidation of goods. The management dimension is relatively limited. Since the customers of retail stores are mobile, the rigid promotion management method cannot adapt to the actual shopping needs of customers. Therefore, the current retail management has the problems of poor flexibility and adaptability, which leads to the inability to fully guarantee the customer's shopping experience and promote the improvement of the retail management level. Summary of the invention

[0006] In view of the deficiencies of the prior art, the present invention provides a personalized retail sales assistance system and device based on artificial intelligence, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: In the first aspect, a personalized retail sales assistance system based on artificial intelligence is provided, including: an information statistics module, which is used to mark the display terminals installed in the intelligent shelves in the retail store as sales assistance display terminals and conduct information statistics to obtain the operation and maintenance information of the sales assistance display terminals.

[0008] An operation correction parameter analysis module, which is used to import the operation and maintenance information of the sales assistance display terminals into an edge processor for processing and extract the operation correction parameters of the sales assistance display terminals.

[0009] An intelligent sensing monitoring module, which is used to conduct intelligent sensing monitoring on the affiliated sensing area through the sales assistance display terminals and control the sales assistance display terminals to enter a specified operation mode, and the specified operation mode is an energy-saving mode or a dynamic adjustment mode.

[0010] An intelligent adjustment module, which is used to synchronously and intelligently adjust the specified operation mode of the sales assistance display terminals based on the operation correction parameters of the sales assistance display terminals.

[0011] As a further preferred solution, the operation and maintenance information of the sales assistance display terminals, where the operation and maintenance information includes: cumulative operation time, cumulative activation times, cumulative energy consumption, and normal maintenance values of various environmental parameters.

[0012] As a further preferred solution, the process of importing the operation and maintenance information of the sales assistance display terminals into an edge processor for processing is as follows: Extract the operation and maintenance verification information of the display terminals in the data warehouse, and the operation and maintenance verification information of the display terminals includes rated operation time, rated activation times, reference cumulative energy consumption, and normal maintenance minimum reference values of various environmental parameters.

[0013] The edge processor compares the operation and maintenance information of the sales assistance display terminals with the operation and maintenance verification information of the display terminals to obtain the proportionality coefficient between the operation and maintenance information of the sales assistance display terminals and the operation and maintenance verification information of the display terminals, and marks it as the operation correction reference proportionality coefficient of the sales assistance display terminals. The operation correction reference proportionality coefficient is used to quantitatively represent the operation loss degree of the sales assistance display terminals and is used as the numerical extraction basis for the operation correction parameters.

[0014] As a further preferred solution, the process of extracting the operation correction parameters of the sales assistance display terminal is as follows: Based on the operation correction reference ratio coefficient of the sales assistance display terminal, import them into the bilateral symmetric linear model of the energy-saving operation correction parameters and the bilateral symmetric linear model of the dynamic adjustment correction parameters preset in the data warehouse, respectively. Locate and extract the first energy-saving operation correction parameter and the second dynamic adjustment correction parameter of the sales assistance display terminal in sequence, and jointly use them as the operation correction parameters of the sales assistance display terminal.

[0015] As a further preferred solution, the process of the sales assistance display terminal performing intelligent sensing monitoring on the affiliated sensing area and controlling the sales assistance display terminal to enter the specified operation mode is as follows: Use the camera installed in the sales assistance display terminal to perform intelligent sensing monitoring on the affiliated sensing area. If no human body is recognized to enter, control the sales assistance display terminal to enter the energy-saving mode. If a human body is recognized to enter, control the sales assistance display terminal to enter the dynamic adjustment mode.

[0016] As a further preferred solution, perform intelligent adjustment on the specified operation mode of the sales assistance display terminal. Among them, if the specified operation mode of the sales assistance display terminal is the energy-saving mode, analyze the energy-saving execution parameters of the sales assistance display terminal, and perform execution control on the sales assistance display terminal with the energy-saving execution parameters. If the specified operation mode of the sales assistance display terminal is the dynamic adjustment mode, analyze the dynamic adjustment execution parameters of the sales assistance display terminal, and perform execution control on the sales assistance display terminal with the dynamic adjustment execution parameters.

[0017] As a further preferred solution, the specific analysis process of analyzing the energy-saving execution parameters of the sales assistance display terminal is as follows: Statistically analyze the historical operation and maintenance information of the affiliated sensing area of the sales assistance display terminal in each segmented time period from the data warehouse, and obtain the segmented time period corresponding to the moment when the sales assistance display terminal enters the energy-saving mode, denoted as the energy-saving specified time period. Thus, statistically analyze the historical operation and maintenance information of the affiliated sensing area of the sales assistance display terminal in the energy-saving specified time period. The historical operation and maintenance information includes the historical average number of people flow, the historical average residence time per person, and the historical peak of the number of people flow.

[0018] Based on the historical operation and maintenance information of the affiliated sensing area of the sales assistance display terminal in the energy-saving specified time period, obtain the energy-saving constraint indication coefficient of the sales assistance display terminal through processing. The energy-saving constraint indication coefficient is used to characterize the estimated popularity status of the affiliated sensing area of the sales assistance display terminal in the energy-saving specified time period.

[0019] Match the energy-saving constraint indication coefficient of the sales assistance display terminal with the preset execution energy-saving parameters corresponding to each energy-saving constraint indication coefficient interval in the data warehouse to obtain the preset execution energy-saving parameters of the sales assistance display terminal. The preset execution energy-saving parameters include the preset energy-saving backlight intensity and the preset energy-saving playback volume.

[0020] Extract the first energy-saving operation correction parameters of the sales promotion display terminal, where the first energy-saving operation correction parameters include the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume.

[0021] Accumulate the preset energy-saving backlight intensity and the energy-saving supplementary backlight intensity to obtain the energy-saving controlled backlight intensity.

[0022] Accumulate the preset energy-saving playback volume and the energy-saving supplementary playback volume to obtain the energy-saving controlled playback volume.

[0023] Mark the energy-saving controlled backlight intensity and the energy-saving controlled playback volume together as the energy-saving execution parameters of the sales promotion display terminal.

[0024] As a further preferred solution, the dynamic adjustment execution parameters of the sales promotion display terminal are analyzed. The specific analysis process is as follows: When the sales promotion display terminal enters the dynamic adjustment mode, obtain the human body recognized by the camera entering the affiliated perception area, mark it as the target object, and identify the position of the head center point of the target object.

[0025] Based on the preset best audio-visual angle and best audio-visual distance of the sales promotion display terminal in the data warehouse, and starting from the center point of the screen of the sales promotion display terminal, construct the spatial best audio-visual line of the sales promotion display terminal, and synchronously extract the horizontal distance difference between the head center point of the target object and the spatial best audio-visual line of the sales promotion display terminal, and record it as the best audio-visual distance difference of the target object.

[0026] Obtain the horizontal distance difference between the head center point of the target object and the center point of the screen of the sales promotion display terminal, and record it as the first audio-visual distance of the target object.

[0027] Based on the best audio-visual distance difference of the target object and the first audio-visual distance of the target object, comprehensively process to obtain the first dynamic adjustment execution parameters of the sales promotion display terminal. The first dynamic adjustment execution parameters include the first dynamic adjustment execution backlight intensity and the first dynamic adjustment execution playback volume.

[0028] Extract the second dynamic adjustment correction parameters of the sales promotion display terminal. The second dynamic adjustment correction parameters include the adjustment supplementary backlight intensity and the adjustment supplementary playback volume.

[0029] Accumulate the first dynamic adjustment execution backlight intensity and the adjustment supplementary backlight intensity to obtain the dynamic adjustment execution backlight intensity.

[0030] Accumulate the first dynamic adjustment execution playback volume and the adjustment supplementary playback volume to obtain the dynamic adjustment execution playback volume.

[0031] Take the dynamic adjustment execution backlight intensity and the dynamic adjustment execution playback volume together as the dynamic adjustment execution parameters of the sales promotion display terminal.

[0032] As a further preferred solution, the dynamic adjustment of the first execution backlight intensity and the dynamic adjustment of the first execution playback volume are specifically processed under the following conditions:

[0033]

[0034] In the formula, is the dynamic adjustment of the first execution backlight intensity, X1 is the default execution backlight intensity of the sales promotion display terminal, μ1 is the adjusted compensation backlight intensity corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, μ2 is the adjusted reduction backlight intensity corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, L0 is the optimal audio-visual distance difference of the target object, L1 is the first audio-visual distance of the target object, L is the optimal audio-visual distance of the sales promotion display terminal, σ1 is the dynamic adjustment of the first execution playback volume, Y1 is the default execution playback volume of the sales promotion display terminal, θ1 is the adjusted compensation volume corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, and θ2 is the adjusted reduction volume corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse.

[0035] In a second aspect, a personalized retail sales promotion device based on artificial intelligence is provided, including: a display terminal for installing in an intelligent shelf in a retail store for displaying sales promotion pages and for intelligently sensing and monitoring the affiliated sensing area.

[0036] An edge processor for processing the operation and maintenance information of the sales promotion display terminal.

[0037] A controller for controlling the sales promotion display terminal to enter a specified operation mode and for intelligently adjusting the specified operation mode of the sales promotion display terminal.

[0038] Compared with the prior art, the embodiments of the present invention at least have the following beneficial effects:

[0039] (1) By providing a personalized retail sales promotion system and device based on artificial intelligence, the present invention intelligently senses and monitors the affiliated sensing area through the sales promotion display terminal, controls the sales promotion display terminal to enter a specified operation mode, and synchronously adjusts the specified operation mode in a targeted manner, making up for the deficiencies caused by the current solidified and single promotion management method. By monitoring and adjusting the sales promotion display terminal, the dimension of management is enriched, and a flexible promotion management method is used to adapt to the actual shopping demand characteristics of customers, effectively solving the problems of poor flexibility and weak adaptability existing in current retail management.

[0040] (2) By setting up an operation correction parameter analysis module, the operation correction parameters of the sales assistance display terminal are obtained through processing. This fully takes into account the natural wear and aging phenomena during the application of the sales assistance display terminal. The electronic components of the display terminal will gradually age during long-term use, resulting in a deterioration of the display effect, such as a decrease in brightness. The analysis of the operation correction parameters enables the sales assistance display terminal to maintain stable performance and high-quality display effects in different usage environments and usage cycles, thus fully guaranteeing the shopping experience of customers and promoting the improvement of retail management levels.

[0041] (3) By setting up an intelligent adjustment module, the intelligent adjustment of the specified operation mode of the sales assistance display terminal is realized. Based on the sales assistance display terminal entering the corresponding control mode, further adjustment is carried out, which can effectively reduce unnecessary energy waste and improve energy utilization efficiency. At the same time, under the condition that there are customers passing by, the sales assistance display terminal can adaptively adjust to suitable working parameters, thereby effectively improving the audio-visual experience of customers, enhancing both interactivity and attractiveness, and guaranteeing the sales assistance level.

[0042] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a general schematic diagram of the system module of the present invention.

[0044] Figure 2 It is a schematic diagram of the bilateral symmetric linear model of the energy-saving operation correction parameters related to the embodiment of the present invention.

[0045] Figure 3 It is a schematic diagram of the bilateral symmetric linear model of the dynamic adjustment correction parameters related to the embodiment of the present invention.

[0046] Figure 4 It is a schematic diagram of the optimal audio-visual line in space of the sales assistance display terminal related to the embodiment of the present invention.

[0047] Reference numerals: 1. The center point of the screen of the sales assistance display terminal; 2. The optimal audio-visual line in space. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in 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.

[0049] In the description of the present invention, it should be understood that terms such as "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "periphery", etc. indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0050] Please refer to Figure 1 As shown, the first aspect of the embodiment of the present invention provides a personalized retail sales assistance system based on artificial intelligence, including: an information statistics module, which is used to mark the display terminals installed in the intelligent shelves in the retail store as sales assistance display terminals and perform information statistics to obtain the operation and maintenance information of the sales assistance display terminals.

[0051] Specifically, the operation and maintenance information of the sales assistance display terminals, where the operation and maintenance information includes: cumulative running time, cumulative activation times, cumulative energy consumption, and normal maintenance values of various environmental parameters.

[0052] The various environmental parameters include temperature, humidity, and dust concentration. The normal maintenance values of the various environmental parameters refer to the specific values of the corresponding environmental parameters in the space where the sales assistance display terminals are located during the application cycle for the longest continuous time under normal circumstances. For example, the normal maintenance value of temperature is 25 degrees Celsius, and the normal maintenance value of humidity is 50%.

[0053] An operation correction parameter analysis module, which is used to import the operation and maintenance information of the sales assistance display terminals into an edge processor for processing and extract the operation correction parameters of the sales assistance display terminals.

[0054] Specifically, the process of importing the operation and maintenance information of the sales assistance display terminals into an edge processor for processing is as follows: extract the operation and maintenance verification information of the display terminals in the data warehouse. The operation and maintenance verification information of the display terminals includes rated running time, rated activation times, reference cumulative energy consumption, and normal maintenance minimum reference values of various environmental parameters.

[0055] The normal maintenance minimum reference values of the various environmental parameters refer to the minimum reference values that the various environmental parameters can withstand under normal operating conditions.

[0056] By comparing the operation and maintenance information of the sales assistance display terminals with the operation and maintenance verification information of the display terminals through the edge processor, obtain the proportionality coefficient between the operation and maintenance information of the sales assistance display terminals and the operation and maintenance verification information of the display terminals, and mark it as the operation correction reference proportionality coefficient of the sales assistance display terminals. The operation correction reference proportionality coefficient is used to quantitatively represent the operation loss degree of the sales assistance display terminals and is used as the numerical extraction basis for the operation correction parameters.

[0057] For the sake of easy understanding, the edge processor compares the operation and maintenance information of the sales assistance display terminal with the operation and maintenance verification information of the display terminal to obtain the proportionality coefficient between the operation and maintenance information of the sales assistance display terminal and the operation and maintenance verification information of the display terminal. The specific process is as follows: The cumulative operation time of the sales assistance display terminal is processed by taking the ratio with the rated operation time, and the obtained value is recorded as the first proportional value. The cumulative activation times of the sales assistance display terminal are processed by taking the ratio with the rated activation times, and the obtained value is recorded as the second proportional value. The cumulative energy consumption of the sales assistance display terminal is processed by taking the ratio with the reference cumulative energy consumption, and the obtained value is recorded as the third proportional value. The normal maintenance values of various environmental parameters of the sales assistance display terminal are processed by taking the ratio with the minimum reference values of the normal maintenance of various environmental parameters to obtain the proportionality values of various environmental parameters of the sales assistance display terminal, and then the sum and average processing are performed, and the obtained value is recorded as the fourth proportional value. The first proportional value, the second proportional value, the third proportional value, and the fourth proportional value are added together to obtain the proportionality coefficient between the operation and maintenance information of the sales assistance display terminal and the operation and maintenance verification information of the display terminal.

[0058] In this embodiment, by processing to obtain the operation correction reference proportionality coefficient of the sales assistance display terminal and analyzing based on the cumulative operation time, cumulative activation times, cumulative energy consumption, and normal maintenance values of various environmental parameters of the sales assistance display terminal, the relevance between these parameters is fully considered. For example, the cumulative operation time refers to the total operation time of the display terminal from installation to the current moment. The longer the operation time, the greater the loss of the display terminal, which also means the greater the cumulative energy consumption. Another example is the normal maintenance values of various environmental parameters. These normal maintenance values of environmental parameters will affect the performance and lifespan of the display terminal. For example, a high-temperature and high-humidity environment may accelerate the aging of electronic components, and a high dust concentration may cause internal pollution of the display terminal, thereby affecting the operation of the display terminal and increasing energy consumption. By comprehensively analyzing these parameters, it is because a single parameter cannot fully reflect the loss situation of the display terminal, but by comprehensively analyzing multiple parameters, the operation correction reference proportionality coefficient of the sales assistance display terminal can be calculated more accurately, so as to evaluate the usage loss status of the device.

[0059] Furthermore, the specific process of extracting the operation correction parameters of the sales assistance display terminal is as follows:

[0060] Based on the operation correction reference proportionality coefficient of the sales assistance display terminal, they are respectively imported into the bilateral symmetric linear model of energy-saving operation correction parameters and the bilateral symmetric linear model of dynamic adjustment correction parameters preset in the data warehouse, and the first energy-saving operation correction parameter and the second dynamic adjustment correction parameter of the sales assistance display terminal are located and extracted in sequence, and jointly used as the operation correction parameters of the sales assistance display terminal.

[0061] It should be further elaborated that both the bilateral symmetric linear model of energy-saving operation correction parameters and the bilateral symmetric linear model of dynamic adjustment correction parameters in this embodiment are a kind of linear curves. The horizontal axis of the model construction is the operation correction reference ratio coefficient. At the same time, in this embodiment, the first energy-saving operation correction parameters include the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume, and the second dynamic adjustment correction parameters include the adjustment supplementary backlight intensity and the adjustment supplementary playback volume. It should be noted that when the operation correction reference ratio coefficient is at a relatively high value, it indicates that the usage loss condition of this sales promotion display terminal is higher. At this time, if the sales promotion display terminal is only solidly controlled with the conventional backlight brightness and playback volume, the corresponding audio-visual effects cannot be achieved because the usage loss of electronic components will cause the backlight intensity control effect and the volume playback effect of the sales promotion display terminal to be damaged. Therefore, in the bilateral symmetric linear model of energy-saving operation correction parameters and the bilateral symmetric linear model of dynamic adjustment correction parameters, the operation correction reference ratio coefficient has an obvious linear relationship with the first energy-saving operation correction parameters and the second dynamic adjustment correction parameters, because the greater the usage loss, the higher the adjustment requirements and adjustment degree for the backlight intensity and the playback volume.

[0062] In a specific embodiment, the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume in the bilateral symmetric linear model of energy-saving operation correction parameters respectively satisfy the following functional relationships with the operation correction reference ratio coefficient, such as: R1 = 17x - 11, R2 = 9x - 6. At the same time, the adjustment supplementary backlight intensity and the adjustment supplementary playback volume in the bilateral symmetric linear model of dynamic adjustment correction parameters respectively satisfy the following functional relationships with the operation correction reference ratio coefficient, such as: R3 = 2.5x, R4 = 1.75x - 1.25, where R1 and R2 respectively represent the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume, x represents the operation correction reference ratio coefficient, and R3 and R4 respectively represent the adjustment supplementary backlight intensity and the adjustment supplementary playback volume.

[0063] As Figure 2 shown, it is a schematic diagram of the bilateral symmetric linear model of energy-saving operation correction parameters involved in another embodiment. The horizontal axis in the figure is the operation correction reference ratio coefficient, and the two vertical axes are respectively the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume. Among them, the solid line in the figure represents the energy-saving supplementary backlight intensity, and the dotted line represents the energy-saving supplementary playback volume. As Figure 3As shown, it is a schematic diagram of a bilateral symmetric linear model for dynamically adjusting correction parameters according to another embodiment. In the figure, the horizontal axis is the operation correction reference ratio coefficient, and the two vertical axes are the adjusted supplementary backlight intensity and the adjusted supplementary playback volume respectively. Among them, the solid line in the figure represents the adjusted supplementary backlight intensity, and the dashed line represents the adjusted supplementary playback volume. By taking the operation correction reference ratio coefficient of the sales assistance display terminal as the independent variable and inputting it into the bilateral symmetric linear model of energy-saving operation correction parameters and the bilateral symmetric linear model of dynamically adjusting correction parameters, the energy-saving supplementary backlight intensity, the energy-saving supplementary playback volume, the adjusted supplementary backlight intensity, and the adjusted supplementary playback volume can be located in sequence. In the embodiment, a model is adopted for analysis and positioning, which fully ensures the accuracy of data processing. Since different display terminals have different electronic components and specifications, in specific applications, the model can be adaptively adjusted by the corresponding personnel according to the specific characteristics of the display terminal. This exemplary embodiment does not make special limitations on this.

[0064] It should also be noted that the data warehouse is a data storage tool. The data warehouse in this embodiment is used to store various verification data, and the various verification data include the bilateral symmetric linear model of energy-saving operation correction parameters and the bilateral symmetric linear model of dynamically adjusting correction parameters involved in this embodiment, and also include the historical operation and maintenance information of the membership perception area of the sales assistance display terminal in each segmented time period, etc.

[0065] The backlight intensity refers to the illumination brightness behind the display device. In different application scenarios, the backlight intensity has an important impact on the visual effect and user experience. The higher the backlight intensity, the usually stronger the brightness of the screen, and a higher backlight intensity also means higher energy consumption. The playback volume refers to the sound intensity output by the display terminal.

[0066] In this embodiment, by adjusting the backlight intensity and playback volume of the sales assistance display terminal, the screen brightness imbalance and audio distortion can be reduced, thereby improving the overall presentation quality of the content and further optimizing the user's visual and auditory experience.

[0067] In the embodiment, the present invention fully considers the natural loss and aging phenomenon of the sales assistance display terminal during the application process by setting an operation correction parameter analysis module to obtain the operation correction parameters of the sales assistance display terminal through processing. The electronic components of the display terminal will gradually age during long-term use, resulting in a deterioration of the display effect, such as a decrease in brightness. The analysis of the operation correction parameters can enable the sales assistance display terminal to maintain stable performance and high-quality display effects in different usage environments and usage cycles, thereby fully ensuring the shopping experience of customers and promoting the improvement of retail management level.

[0068] An intelligent sensing and monitoring module is used to perform intelligent sensing and monitoring on the affiliated sensing area through a sales promotion display terminal, and control the sales promotion display terminal to enter a specified operating mode, where the specified operating mode is an energy-saving mode or a dynamic adjustment mode.

[0069] The affiliated sensing area is the maximum function recognition area that the sales promotion display terminal can sense and monitor.

[0070] Specifically, the process of performing intelligent sensing and monitoring on the affiliated sensing area through the sales promotion display terminal and controlling the sales promotion display terminal to enter a specified operating mode is as follows: The affiliated sensing area is intelligently sensed and monitored through a camera installed in the sales promotion display terminal. If no human body is recognized as entering, the sales promotion display terminal is controlled to enter the energy-saving mode. If a human body is recognized as entering, the sales promotion display terminal is controlled to enter the dynamic adjustment mode.

[0071] In this embodiment, by performing intelligent sensing and monitoring on the affiliated sensing area through the sales promotion display terminal and controlling the sales promotion display terminal to enter a specified operating mode, the usage consumption and aging speed of the display terminal are reduced, which helps to extend the service life of the display terminal and reduce the frequency of maintenance and replacement. At the same time, in this embodiment, the sales promotion display terminal is controlled to enter the energy-saving mode, but the energy-saving mode does not simply adjust the sales promotion display terminal to the standby state or the shutdown state. Instead, by adjusting corresponding working parameters such as brightness and volume, this control method can enable the sales promotion display terminal to still display basic advertising information and prompts, ensuring that the terminal can still perform its main functions while saving energy and avoiding information interruption caused by complete shutdown.

[0072] An intelligent adjustment module is used to synchronously perform intelligent adjustment on the specified operating mode of the sales promotion display terminal based on the operating correction parameters of the sales promotion display terminal.

[0073] Specifically, for the intelligent adjustment of the specified operating mode of the sales promotion display terminal, if the specified operating mode of the sales promotion display terminal is the energy-saving mode, the energy-saving execution parameters of the sales promotion display terminal are analyzed and the sales promotion display terminal is controlled to execute according to the energy-saving execution parameters. If the specified operating mode of the sales promotion display terminal is the dynamic adjustment mode, the dynamic adjustment execution parameters of the sales promotion display terminal are analyzed and the sales promotion display terminal is controlled to execute according to the dynamic adjustment execution parameters.

[0074] In an embodiment, the present invention realizes intelligent adjustment of the specified operating mode of the sales promotion display terminal by setting an intelligent adjustment module. Further adjustment is carried out on the basis of the sales promotion display terminal entering the corresponding control mode, which can effectively reduce unnecessary energy waste, improve energy utilization efficiency. At the same time, under the condition that a customer passes by, the sales promotion display terminal can adaptively adjust to suitable working parameters, thereby effectively improving the audio-visual experience of customers, enhancing interactivity and attractiveness, and ensuring the sales promotion level.

[0075] Furthermore, the energy-saving execution parameters of the sales promotion display terminal are obtained through analysis. The specific analysis process is as follows: statistically analyze the historical operation and maintenance information of the membership perception area of the sales promotion display terminal in each segmentation period from the data warehouse, and obtain the segmentation period corresponding to the moment when the sales promotion display terminal enters the energy-saving mode, denoted as the energy-saving specified period. Then, statistically analyze the historical operation and maintenance information of the membership perception area of the sales promotion display terminal in the energy-saving specified period. The historical operation and maintenance information includes historical average pedestrian flow, historical average residence time per person, and historical peak pedestrian flow.

[0076] Each segmentation period is based on hours, for example, from 8 o'clock to 9 o'clock is a segmentation period.

[0077] Based on the historical operation and maintenance information of the membership perception area of the sales promotion display terminal in the energy-saving specified period, the energy-saving constraint indication coefficient of the sales promotion display terminal is obtained through processing. The energy-saving constraint indication coefficient is used to characterize the estimated popularity status of the membership perception area of the sales promotion display terminal in the energy-saving specified period.

[0078] In this embodiment, the specific processing conditions for the energy-saving constraint indication coefficient of the sales promotion display terminal are as follows:

[0079] δ = A1 * ω1 + A2 * ω2 + A3 * ω3;

[0080]

[0081] Among them, δ is the energy-saving constraint indication coefficient of the sales promotion display terminal, A1 represents the historical average pedestrian flow comparison indication factor of the sales promotion display terminal, A2 represents the historical average residence time per person comparison indication factor of the sales promotion display terminal, A3 represents the historical peak pedestrian flow comparison indication factor of the sales promotion display terminal, Q is the historical average pedestrian flow of the membership perception area of the sales promotion display terminal in the energy-saving specified period, T is the historical average residence time per person of the membership perception area of the sales promotion display terminal in the energy-saving specified period, Q maz is the historical peak pedestrian flow of the membership perception area of the sales promotion display terminal in the energy-saving specified period, ΔQ, ΔT, ΔQ maxThey are the reference pedestrian flow, the reference average residence time per person, and the reference peak pedestrian flow in the data warehouse, and ω1, ω2, and ω3 are the average pedestrian flow weight, the average residence time weight per person, and the peak pedestrian flow weight, respectively.

[0082] It should be noted that the average pedestrian flow weight, the average residence time weight per person, and the peak pedestrian flow weight are all in the range of 0 to 1. They can be directly extracted from the preset values in the data warehouse, or a mapping comparison set of the average pedestrian flow, the average residence time per person, and the peak pedestrian flow and the weights can be constructed according to the relationships between the average pedestrian flow, the average residence time per person, and the peak pedestrian flow and the energy-saving constraint indication coefficients in the historical information. In the embodiment, by inputting the actual average pedestrian flow, the average residence time per person, and the peak pedestrian flow into the corresponding mapping comparison sets one by one, the average pedestrian flow weight, the average residence time weight per person, and the peak pedestrian flow weight are obtained.

[0083] It should also be noted that in this embodiment, the energy-saving constraint indication coefficient of the assisted sales display terminal is obtained by processing the historical average pedestrian flow, the historical average residence time per person, and the historical peak pedestrian flow, considering the mutual influence between these parameters. For example, a higher average pedestrian flow usually brings a longer residence time because more people mean more interactions and participations. However, an excessive pedestrian flow may also lead to congestion, thus reducing the individual's residence time. At the same time, the residence time during peak hours may be different. If the residence time is still long during peak hours, it indicates that the location can still provide a good experience under high pedestrian flow. The energy-saving constraint indication coefficient of the assisted sales display terminal obtained by comprehensively analyzing the historical average pedestrian flow, the historical average residence time per person, and the historical peak pedestrian flow can reflect the historical popularity status of the assisted sales display terminal during the energy-saving specified period and indirectly affect the energy-saving constraint degree of the display terminal. If the historical popularity status during the energy-saving specified period is good, even if no human body is recognized to enter, the display terminal should be adjusted to an appropriate display state to keep the content display of the display terminal able to attract the attention of potential customers passing by and increase their chance of staying. If the display screen is in the off state, the opportunity to attract potential customers may be missed.

[0084] The following takes 5 groups of assisted sales display terminals involved in this embodiment during the same energy-saving specified period as an example for illustration. The average pedestrian flow weight, the average residence time weight per person, and the peak pedestrian flow weight are defined as 0.4, 0.4, and 0.6 in sequence. The specific output energy-saving constraint indication coefficients are as follows in the table:

[0085] Table 1 Example of Energy-Saving Constraint Indication Coefficient

[0086]

[0087] Combined with the above table, it is found that the energy-saving constraint indication coefficient of the sales promotion display terminal 3 is the highest, indicating that during the same energy-saving specified period, the potential popularity status of this sales promotion display terminal is at a relatively high level. At this time, even in the moment when there is no flow of people briefly, maintaining the high-level activity of this sales promotion display terminal can ensure that the displayed content obtains the maximum exposure and effect, because compared with other sales promotion display terminals, the display demand level of the sales promotion display terminal 3 is the highest during this period.

[0088] Match the energy-saving constraint indication coefficient of the sales promotion display terminal with the preset execution energy-saving parameters corresponding to each energy-saving constraint indication coefficient interval in the data warehouse to obtain the preset execution energy-saving parameters of the sales promotion display terminal. The preset execution energy-saving parameters include the preset energy-saving backlight intensity and the preset energy-saving playback volume.

[0089] Extract the first energy-saving operation correction parameter of the sales promotion display terminal. The first energy-saving operation correction parameter includes the energy-saving supplementary backlight intensity and the energy-saving supplementary playback volume.

[0090] Accumulate the preset energy-saving backlight intensity and the energy-saving supplementary backlight intensity to obtain the energy-saving control backlight intensity.

[0091] Accumulate the preset energy-saving playback volume and the energy-saving supplementary playback volume to obtain the energy-saving control playback volume.

[0092] Mark the energy-saving control backlight intensity and the energy-saving control playback volume together as the energy-saving execution parameters of the sales promotion display terminal.

[0093] Furthermore, the dynamic adjustment execution parameters of the sales promotion display terminal are obtained through analysis. The specific analysis process is as follows:

[0094] When the sales promotion display terminal enters the dynamic adjustment mode, obtain the human body recognized by the camera entering the affiliated sensing area, mark it as the target object, and identify the position of the center point of the target object's head.

[0095] Based on the preset best audio-visual angle and best audio-visual distance of the sales promotion display terminal in the data warehouse, and starting from the center point of the screen of the sales promotion display terminal, construct the spatial best audio-visual line of the sales promotion display terminal, and synchronously extract the horizontal distance difference between the center point of the target object's head and the spatial best audio-visual line of the sales promotion display terminal, and record it as the best audio-visual distance difference of the target object.

[0096] For further understanding, the specific process of constructing the spatial best audio-visual line of the sales promotion display terminal is as follows: Figure 4As shown in the figure, it is a schematic diagram of the optimal audio-visual line in space of the sales promotion display terminal involved in this embodiment. Among them, taking the center point (1) of the screen of the sales promotion display terminal as the starting point, the center point of the screen of the sales promotion display terminal in the figure is shown in the top-down orientation. Starting from the center point of the screen of the sales promotion display terminal, a reference line perpendicular to the screen of the sales promotion display terminal is constructed with the optimal audio-visual distance, denoted as the audio-visual reference line, that is, the dotted line part in the figure. At the same time, starting from the center point of the screen of the sales promotion display terminal, a fan-shaped area is constructed with the optimal audio-visual distance. The vertical central axis of this fan-shaped area is consistent with the audio-visual reference line, and the angle of the central angle of this fan-shaped area is equal to the optimal audio-visual angle. At this time, the arc of this fan-shaped area is the optimal audio-visual line in space (2).

[0097] Obtain the horizontal distance difference between the center point of the head of the target object and the center point of the screen of the sales promotion display terminal, and denote it as the first audio-visual distance of the target object.

[0098] Based on the optimal audio-visual distance difference of the target object and the first audio-visual distance of the target object, comprehensively process to obtain the first dynamic adjustment execution parameter of the sales promotion display terminal. The first dynamic adjustment execution parameter includes the first dynamic adjustment execution backlight intensity and the first dynamic adjustment execution playback volume.

[0099] Extract the second dynamic adjustment correction parameter of the sales promotion display terminal. The second dynamic adjustment correction parameter includes the adjusted supplementary backlight intensity and the adjusted supplementary playback volume.

[0100] Accumulate the first dynamic adjustment execution backlight intensity and the adjusted supplementary backlight intensity to obtain the dynamic adjustment execution backlight intensity.

[0101] Accumulate the first dynamic adjustment execution playback volume and the adjusted supplementary playback volume to obtain the dynamic adjustment execution playback volume.

[0102] Take the dynamic adjustment execution backlight intensity and the dynamic adjustment execution playback volume together as the dynamic adjustment execution parameter of the sales promotion display terminal.

[0103] More specifically, the specific processing conditions for the first dynamic adjustment execution backlight intensity and the first dynamic adjustment execution playback volume are as follows:

[0104]

[0105] In the formula, To dynamically adjust the first execution backlight intensity, X1 is the default execution backlight intensity of the sales promotion display terminal, μ1 is the adjusted compensation backlight intensity corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, μ2 is the adjusted loss backlight intensity corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, L0 is the optimal audio-visual distance difference of the target object, L1 is the first audio-visual distance of the target object, L is the optimal audio-visual distance of the sales promotion display terminal, σ1 is to dynamically adjust the first execution playback volume, Y1 is the default execution playback volume of the sales promotion display terminal, θ1 is the adjusted compensation volume corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse, and θ2 is the adjusted loss volume corresponding to the unit value of the preset optimal audio-visual distance difference in the data warehouse.

[0106] It should be understood that the default execution backlight intensity of the sales promotion display terminal and the default execution playback volume of the sales promotion display terminal refer to the standard working parameters of the sales promotion display terminal when a human body is recognized. The standard working parameter usually has a corresponding position on the optimal audio-visual line in space. That is, at the spatial position of the optimal audio-visual line in space, a person can obtain an ideal visual experience with the default execution backlight intensity of the sales promotion display terminal and the default execution playback volume of the sales promotion display terminal.

[0107] In the second aspect of the embodiments of the present invention, a personalized retail sales promotion device based on artificial intelligence is provided, including: a display terminal, which is used to be installed in an intelligent shelf in a retail store for displaying sales promotion pages and for intelligently sensing and monitoring the affiliated sensing area.

[0108] An edge processor, which is used to process the operation and maintenance information of the sales promotion display terminal.

[0109] A controller, which is used to control the sales promotion display terminal to enter a specified operation mode and to intelligently adjust the specified operation mode of the sales promotion display terminal.

[0110] In the embodiments, the present invention provides a personalized retail sales promotion system and device based on artificial intelligence. By using the sales promotion display terminal to intelligently sense and monitor the affiliated sensing area, controlling the sales promotion display terminal to enter a specified operation mode, and synchronously making targeted adjustments to the specified operation mode, it makes up for the deficiencies caused by the current solidified and single promotion management method. By monitoring and adjusting the sales promotion display terminal, it enriches the management dimension and adapts to the actual shopping demand characteristics of customers with a flexible promotion management method, effectively solving the problems of poor flexibility and weak adaptability existing in current retail management.

[0111] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.

[0112] The preferred embodiments of the present invention disclosed above are only used to assist in the description of the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. As long as it does not deviate from the structure of the present invention or exceed the scope defined by the present invention, it should fall within the protection scope of the present invention.

Claims

1. A personalized retail sales assistance system based on artificial intelligence, characterized in that: include: An information statistics module is used to mark the display terminals installed in the smart shelves in the retail stores as sales-aiding display terminals, and to perform information statistics to obtain operation and maintenance information of the sales-aiding display terminals; An operation correction parameter analysis module is used to import the operation and maintenance information of the sales assistance display terminal into the edge processor for processing, and extract the operation correction parameters of the sales assistance display terminal; An intelligent sensor monitoring module, used for performing intelligent sensor monitoring on the subordinate sensing area through the sales assistance display terminal, and controlling the sales assistance display terminal to enter a specified operation mode, wherein the specified operation mode is an energy saving mode or a dynamic adjustment mode; An intelligent adjustment module, for intelligently adjusting a designated operation mode of the sales assistance display terminal synchronously based on the operation correction parameters of the sales assistance display terminal; The intelligent adjustment of the designated operation mode of the sales assistance display terminal, wherein, if the designated operation mode of the sales assistance display terminal is the energy saving mode, the energy saving execution parameters of the sales assistance display terminal are analyzed and the sales assistance display terminal is controlled with the energy saving execution parameters; if the designated operation mode of the sales assistance display terminal is the dynamic adjustment mode, the dynamic adjustment execution parameters of the sales assistance display terminal are analyzed and the sales assistance display terminal is controlled with the dynamic adjustment execution parameters; The analysis obtains the dynamic adjustment execution parameters of the sales assistance display terminal, and the specific analysis process is as follows: When the sales assistance display terminal enters the dynamic adjustment mode, the camera identifies the human body entering the subordinate sensing area, marks it as the target object, and identifies the center point position of the target object's head; Based on the optimal audio-visual angle and optimal audio-visual distance of the sales-aiding display terminal preset in the data warehouse, and taking the screen center point of the sales-aiding display terminal as the starting point, the spatial optimal audio-visual line of the sales-aiding display terminal is constructed, and the horizontal distance difference between the head center point of the target object and the spatial optimal audio-visual line of the sales-aiding display terminal is simultaneously extracted and recorded as the optimal audio-visual distance difference of the target object; Obtaining the horizontal distance difference between the center point of the head of the target object and the center point of the screen of the sales promotion display terminal, and recording it as the first viewing and listening distance of the target object; Based on the optimal audio-visual distance difference of the target object and the first audio-visual distance of the target object, a first dynamic adjustment execution parameter of the sales promotion display terminal is obtained by comprehensive processing, wherein the first dynamic adjustment execution parameter includes a first dynamic adjustment execution backlight intensity and a first dynamic adjustment execution playback volume; Extracting a second dynamic adjustment correction parameter of the sales promotion display terminal, wherein the second dynamic adjustment correction parameter includes adjusting the supplementary backlight intensity and adjusting the supplementary playback volume; Accumulating the dynamically adjusted first execution backlight intensity and the adjusted supplementary backlight intensity to obtain the dynamically adjusted execution backlight intensity; The dynamically adjusted first execution playback volume and the adjusted supplementary playback volume are accumulated to obtain the dynamically adjusted execution playback volume; The dynamically adjusted backlight intensity and the dynamically adjusted playback volume are used together as the dynamic adjustment execution parameters of the sales assistance display terminal.

2. According to claim 1, a personalized retail sales assistance system based on artificial intelligence is characterized by: The sales assistance displays the operation and maintenance information of the terminal, wherein the operation and maintenance information includes: cumulative operating time, cumulative activation times, cumulative energy consumption, and normal maintenance values ​​of various environmental parameters.

3. According to claim 1, a personalized retail sales assistance system based on artificial intelligence is characterized by: The operation and maintenance information of the sales assistance display terminal is imported into the edge processor for processing, and the specific process is as follows: Extracting the display terminal operation and maintenance verification information in the data warehouse, wherein the display terminal operation and maintenance verification information includes the rated operating time, the rated activation times, the reference cumulative energy consumption, and the normal maintenance minimum reference values ​​of various environmental parameters; The operation and maintenance information of the sales assistance display terminal is compared with the operation and maintenance verification information of the display terminal through the edge processor to obtain the proportional coefficient between the operation and maintenance information of the sales assistance display terminal and the operation and maintenance verification information of the display terminal, and marked as the operation correction benchmark proportional coefficient of the sales assistance display terminal. The operation correction benchmark proportional coefficient is used to quantitatively characterize the degree of operation loss of the sales assistance display terminal, and is used as the basis for numerical extraction of operation correction parameters.

4. According to claim 3, a personalized retail sales assistance system based on artificial intelligence is characterized by: The specific process of extracting and obtaining the operation correction parameters of the sales assistance display terminal is as follows: Based on the operation correction benchmark proportional coefficient of the sales assistance display terminal, they are imported into the energy-saving operation correction parameter bilateral symmetric linear model and the dynamic adjustment correction parameter bilateral symmetric linear model pre-set in the data warehouse respectively, and the first energy-saving operation correction parameter and the second dynamic adjustment correction parameter of the sales assistance display terminal are located and extracted in turn, and combined as the operation correction parameter of the sales assistance display terminal.

5. According to claim 1, a personalized retail sales assistance system based on artificial intelligence is characterized by: The sales assistance display terminal is used to perform intelligent sensor monitoring on the subordinate sensing area, and the sales assistance display terminal is controlled to enter a specified operation mode. The specific process is as follows: The camera installed in the sales assistance display terminal performs intelligent sensor monitoring on the affiliated sensing area. If no human entry is recognized, the sales assistance display terminal is controlled to enter the energy saving mode. If human entry is recognized, the sales assistance display terminal is controlled to enter the dynamic adjustment mode.

6. The personalized retail sales assistance system based on artificial intelligence according to claim 1, characterized in that: The analysis obtains the energy saving execution parameters of the sales assistance display terminal, and the specific analysis process is as follows: The historical operation and maintenance information of the subordinate perception area of ​​the sales assistance display terminal in each segmented time period is counted from the data warehouse, and the segmented time period corresponding to the moment when the sales assistance display terminal enters the energy saving mode is obtained, which is recorded as the energy-saving designated time period, thereby counting the historical operation and maintenance information of the subordinate perception area of ​​the sales assistance display terminal in the energy-saving designated time period, and the historical operation and maintenance information includes the historical average flow of people, the historical average length of stay per person, and the historical peak value of the flow of people; Based on the historical operation and maintenance information of the subordinate perception area of ​​the sales assistance display terminal in the energy-saving designated period, the energy-saving constraint indicator coefficient of the sales assistance display terminal is obtained through processing, and the energy-saving constraint indicator coefficient is used to characterize the estimated popularity status of the subordinate perception area of ​​the sales assistance display terminal in the energy-saving designated period; Matching the energy-saving constraint indicator coefficient of the sales-supporting display terminal with the preset execution energy-saving parameters corresponding to each energy-saving constraint indicator coefficient interval preset in the data warehouse to obtain the preset execution energy-saving parameters of the sales-supporting display terminal, wherein the preset execution energy-saving parameters include preset energy-saving backlight intensity and preset energy-saving playback volume; Extracting a first energy-saving operation correction parameter of the sales promotion display terminal, wherein the first energy-saving operation correction parameter includes energy-saving supplementary backlight intensity and energy-saving supplementary playback volume; The preset energy-saving backlight intensity and the energy-saving supplementary backlight intensity are accumulated to obtain the energy-saving control backlight intensity; The preset energy-saving playback volume and the energy-saving supplementary playback volume are accumulated to obtain the energy-saving control playback volume; The energy-saving control backlight intensity and the energy-saving control playback volume are jointly marked as energy-saving execution parameters of the sales-aiding display terminal.

7. The personalized retail sales assistance system based on artificial intelligence according to claim 1, characterized in that: The specific processing conditions for dynamically adjusting the first execution backlight intensity and dynamically adjusting the first execution playback volume are as follows: In the formula, is to dynamically adjust the first execution backlight intensity, X1 is the default execution backlight intensity of the sales assistance display terminal, μ1 is the adjustment compensation backlight intensity corresponding to the unit value of the optimal audio-visual distance difference preset in the data warehouse, μ2 is the adjustment reduction backlight intensity corresponding to the unit value of the optimal audio-visual distance difference preset in the data warehouse, L0 is the optimal audio-visual distance difference of the target object, L1 is the first audio-visual distance of the target object, L is the optimal audio-visual distance of the sales assistance display terminal, σ1 is the dynamically adjusted first execution playback volume, Y1 is the default execution playback volume of the sales assistance display terminal, θ1 is the adjustment compensation volume corresponding to the unit value of the optimal audio-visual distance difference preset in the data warehouse, and θ2 is the adjustment reduction volume corresponding to the unit value of the optimal audio-visual distance difference preset in the data warehouse.

8. A device for a personalized retail sales assistance system based on artificial intelligence according to any one of claims 1 to 7, characterized in that: include: Display terminals are used to display sales promotion pages in smart shelves installed in retail stores and to perform intelligent sensor monitoring of affiliated sensing areas; Edge processor, used to process the operation and maintenance information of the sales assistance display terminal; The controller is used to control the sales assistance display terminal to enter a specified operating mode and to intelligently adjust the specified operating mode of the sales assistance display terminal.

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